Index
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form
A
- a - Variable in class org.apache.commons.math3.analysis.function.Logistic
-
Lower asymptote.
- a - Variable in class org.apache.commons.math3.analysis.interpolation.BicubicFunction
-
Coefficients
- a - Variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
-
Coefficients
- a - Variable in class org.apache.commons.math3.analysis.interpolation.TricubicFunction
-
Coefficients
- a - Variable in class org.apache.commons.math3.analysis.interpolation.TricubicSplineFunction
-
Coefficients
- a - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
-
When all c[i] = 0, a[] becomes normal polynomial coefficients, i.e.
- a - Variable in class org.apache.commons.math3.distribution.TriangularDistribution
-
Lower limit of this distribution (inclusive).
- a - Variable in class org.apache.commons.math3.fitting.HarmonicCurveFitter.ParameterGuesser
-
Amplitude.
- a - Variable in class org.apache.commons.math3.fitting.HarmonicFitter.ParameterGuesser
-
Deprecated.Amplitude.
- a - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
Reference to the linear operator.
- a - Variable in class org.apache.commons.math3.ml.neuralnet.sofm.util.ExponentialDecayFunction
-
Factor
a
. - a - Variable in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
-
Internal weights from Butcher array (without the first empty row).
- a - Variable in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Internal weights from Butcher array (without the first empty row).
- a - Variable in class org.apache.commons.math3.ode.nonstiff.RungeKuttaFieldIntegrator
-
Internal weights from Butcher array (without the first empty row).
- a - Variable in class org.apache.commons.math3.ode.nonstiff.RungeKuttaIntegrator
-
Internal weights from Butcher array (without the first empty row).
- a - Variable in class org.apache.commons.math3.optimization.fitting.HarmonicFitter.ParameterGuesser
-
Deprecated.Amplitude.
- a1 - Variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
-
Axis of the first rotation.
- a2 - Variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
-
Axis of the second rotation.
- a3 - Variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
-
Axis of the third rotation.
- a70 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldStepInterpolator
-
Last row of the Butcher-array internal weights, element 0.
- A70 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Last row of the Butcher-array internal weights, element 0.
- a72 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldStepInterpolator
-
Last row of the Butcher-array internal weights, element 2.
- A72 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Last row of the Butcher-array internal weights, element 2.
- a73 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldStepInterpolator
-
Last row of the Butcher-array internal weights, element 3.
- A73 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Last row of the Butcher-array internal weights, element 3.
- a74 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldStepInterpolator
-
Last row of the Butcher-array internal weights, element 4.
- A74 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Last row of the Butcher-array internal weights, element 4.
- a75 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldStepInterpolator
-
Last row of the Butcher-array internal weights, element 5.
- A75 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Last row of the Butcher-array internal weights, element 5.
- ABOVE_SIDE - Enum constant in enum org.apache.commons.math3.analysis.solvers.AllowedSolution
-
Only solutions for which values are greater than or equal to zero are acceptable as solutions for root-finding.
- abs() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
absolute value.
- abs() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
absolute value.
- abs() - Method in class org.apache.commons.math3.complex.Complex
-
Return the absolute value of this complex number.
- abs() - Method in class org.apache.commons.math3.dfp.Dfp
-
Get the absolute value of instance.
- abs() - Method in class org.apache.commons.math3.fraction.BigFraction
-
Returns the absolute value of this
BigFraction
. - abs() - Method in class org.apache.commons.math3.fraction.Fraction
-
Returns the absolute value of this fraction.
- abs() - Method in interface org.apache.commons.math3.RealFieldElement
-
absolute value.
- abs() - Method in class org.apache.commons.math3.util.Decimal64
-
absolute value.
- abs(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Absolute value.
- abs(float) - Static method in class org.apache.commons.math3.util.FastMath
-
Absolute value.
- abs(int) - Static method in class org.apache.commons.math3.util.FastMath
-
Absolute value.
- abs(long) - Static method in class org.apache.commons.math3.util.FastMath
-
Absolute value.
- Abs - Class in org.apache.commons.math3.analysis.function
-
Absolute value function.
- Abs() - Constructor for class org.apache.commons.math3.analysis.function.Abs
- ABS_TOL_UNUSED - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.LineSearch
-
Value that will pass the precondition check for
BrentOptimizer
but will not pass the convergence check, so that the custom checker will always decide when to stop the line search. - ABS_TOL_UNUSED - Static variable in class org.apache.commons.math3.optimization.direct.PowellOptimizer.LineSearch
-
Deprecated.Value that will pass the precondition check for
BrentOptimizer
but will not pass the convergence check, so that the custom checker will always decide when to stop the line search. - abscissa - Variable in class org.apache.commons.math3.analysis.function.StepFunction
-
Abscissae.
- abscissae - Variable in class org.apache.commons.math3.analysis.interpolation.FieldHermiteInterpolator
-
Sample abscissae.
- abscissae - Variable in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
-
Sample abscissae.
- abscissas - Variable in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
-
Deprecated.Abscissas for the current method.
- ABSCISSAS_2 - Static variable in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
-
Deprecated.Abscissas for the 2 points method.
- ABSCISSAS_3 - Static variable in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
-
Deprecated.Abscissas for the 3 points method.
- ABSCISSAS_4 - Static variable in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
-
Deprecated.Abscissas for the 4 points method.
- ABSCISSAS_5 - Static variable in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
-
Deprecated.Abscissas for the 5 points method.
- absoluteAccuracy - Variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Maximum absolute error.
- absoluteAccuracy - Variable in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Absolute accuracy.
- absoluteAccuracy - Variable in class org.apache.commons.math3.analysis.solvers.FieldBracketingNthOrderBrentSolver
-
Absolute accuracy.
- absoluteThreshold - Variable in class org.apache.commons.math3.optim.AbstractConvergenceChecker
-
Absolute tolerance threshold.
- absoluteThreshold - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
-
Absolute threshold.
- absoluteThreshold - Variable in class org.apache.commons.math3.optim.univariate.BrentOptimizer
-
Absolute threshold.
- absoluteThreshold - Variable in class org.apache.commons.math3.optimization.AbstractConvergenceChecker
-
Deprecated.Absolute tolerance threshold.
- absoluteThreshold - Variable in class org.apache.commons.math3.optimization.direct.PowellOptimizer
-
Deprecated.Absolute threshold.
- absoluteThreshold - Variable in class org.apache.commons.math3.optimization.univariate.BrentOptimizer
-
Deprecated.Absolute threshold.
- absTol - Variable in class org.apache.commons.math3.fitting.leastsquares.EvaluationRmsChecker
-
absolute tolerance for comparisons.
- AbstractConvergenceChecker<PAIR> - Class in org.apache.commons.math3.optim
-
Base class for all convergence checker implementations.
- AbstractConvergenceChecker<PAIR> - Class in org.apache.commons.math3.optimization
-
Deprecated.As of 3.1 (to be removed in 4.0).
- AbstractConvergenceChecker() - Constructor for class org.apache.commons.math3.optimization.AbstractConvergenceChecker
-
Deprecated.in 3.1 (to be removed in 4.0). Convergence thresholds are problem-dependent. As this class is intended for users who want to set their own convergence criterion instead of relying on an algorithm's default procedure, they should also set the thresholds appropriately (cf. MATH-798).
- AbstractConvergenceChecker(double, double) - Constructor for class org.apache.commons.math3.optim.AbstractConvergenceChecker
-
Build an instance with a specified thresholds.
- AbstractConvergenceChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.AbstractConvergenceChecker
-
Deprecated.Build an instance with a specified thresholds.
- AbstractConvexHullGenerator2D - Class in org.apache.commons.math3.geometry.euclidean.twod.hull
-
Abstract base class for convex hull generators in the two-dimensional euclidean space.
- AbstractConvexHullGenerator2D(boolean) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.hull.AbstractConvexHullGenerator2D
-
Simple constructor.
- AbstractConvexHullGenerator2D(boolean, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.hull.AbstractConvexHullGenerator2D
-
Simple constructor.
- AbstractCurveFitter - Class in org.apache.commons.math3.fitting
-
Base class that contains common code for fitting parametric univariate real functions
y = f(pi;x)
, wherex
is the independent variable and thepi
are the parameters. - AbstractCurveFitter() - Constructor for class org.apache.commons.math3.fitting.AbstractCurveFitter
- AbstractCurveFitter.TheoreticalValuesFunction - Class in org.apache.commons.math3.fitting
-
Vector function for computing function theoretical values.
- AbstractDifferentiableOptimizer - Class in org.apache.commons.math3.optimization.general
-
Deprecated.As of 3.1 (to be removed in 4.0).
- AbstractDifferentiableOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.AbstractDifferentiableOptimizer
-
Deprecated.
- AbstractDifferentiableUnivariateSolver - Class in org.apache.commons.math3.analysis.solvers
-
Deprecated.as of 3.1, replaced by
AbstractUnivariateDifferentiableSolver
- AbstractDifferentiableUnivariateSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver
-
Deprecated.Construct a solver with given absolute accuracy.
- AbstractDifferentiableUnivariateSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver
-
Deprecated.Construct a solver with given accuracies.
- AbstractEvaluation - Class in org.apache.commons.math3.fitting.leastsquares
-
An implementation of
LeastSquaresProblem.Evaluation
that is designed for extension. - AbstractEvaluation(int) - Constructor for class org.apache.commons.math3.fitting.leastsquares.AbstractEvaluation
-
Constructor.
- AbstractFieldIntegrator<T> - Class in org.apache.commons.math3.ode
-
Base class managing common boilerplate for all integrators.
- AbstractFieldIntegrator(Field<T>, String) - Constructor for class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Build an instance.
- AbstractFieldMatrix<T> - Class in org.apache.commons.math3.linear
-
Basic implementation of
FieldMatrix
methods regardless of the underlying storage. - AbstractFieldMatrix() - Constructor for class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Constructor for use with Serializable
- AbstractFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Creates a matrix with no data
- AbstractFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Create a new FieldMatrix
with the supplied row and column dimensions. - AbstractFieldStepInterpolator<T> - Class in org.apache.commons.math3.ode.sampling
-
This abstract class represents an interpolator over the last step during an ODE integration.
- AbstractFieldStepInterpolator(boolean, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Constructor for class org.apache.commons.math3.ode.sampling.AbstractFieldStepInterpolator
-
Simple constructor.
- AbstractFormat - Class in org.apache.commons.math3.fraction
-
Common part shared by both
FractionFormat
andBigFractionFormat
. - AbstractFormat() - Constructor for class org.apache.commons.math3.fraction.AbstractFormat
-
Create an improper formatting instance with the default number format for the numerator and denominator.
- AbstractFormat(NumberFormat) - Constructor for class org.apache.commons.math3.fraction.AbstractFormat
-
Create an improper formatting instance with a custom number format for both the numerator and denominator.
- AbstractFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.fraction.AbstractFormat
-
Create an improper formatting instance with a custom number format for the numerator and a custom number format for the denominator.
- AbstractIntegerDistribution - Class in org.apache.commons.math3.distribution
-
Base class for integer-valued discrete distributions.
- AbstractIntegerDistribution() - Constructor for class org.apache.commons.math3.distribution.AbstractIntegerDistribution
-
Deprecated.As of 3.1, to be removed in 4.0. Please use
AbstractIntegerDistribution(RandomGenerator)
instead. - AbstractIntegerDistribution(RandomGenerator) - Constructor for class org.apache.commons.math3.distribution.AbstractIntegerDistribution
- AbstractIntegrator - Class in org.apache.commons.math3.ode
-
Base class managing common boilerplate for all integrators.
- AbstractIntegrator() - Constructor for class org.apache.commons.math3.ode.AbstractIntegrator
-
Build an instance with a null name.
- AbstractIntegrator(String) - Constructor for class org.apache.commons.math3.ode.AbstractIntegrator
-
Build an instance.
- AbstractLeastSquaresOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector.jacobian
-
Deprecated.All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the
org.apache.commons.math3.fitting.leastsquares
package (cf. MATH-1008). - AbstractLeastSquaresOptimizer - Class in org.apache.commons.math3.optimization.general
-
Deprecated.As of 3.1 (to be removed in 4.0).
- AbstractLeastSquaresOptimizer() - Constructor for class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.
- AbstractLeastSquaresOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
-
Deprecated.
- AbstractLeastSquaresOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.
- AbstractLinearOptimizer - Class in org.apache.commons.math3.optimization.linear
-
Deprecated.As of 3.1 (to be removed in 4.0).
- AbstractLinearOptimizer() - Constructor for class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
-
Deprecated.Simple constructor with default settings.
- AbstractListChromosome<T> - Class in org.apache.commons.math3.genetics
-
Chromosome represented by an immutable list of a fixed length.
- AbstractListChromosome(List<T>) - Constructor for class org.apache.commons.math3.genetics.AbstractListChromosome
-
Constructor, copying the input representation.
- AbstractListChromosome(List<T>, boolean) - Constructor for class org.apache.commons.math3.genetics.AbstractListChromosome
-
Constructor.
- AbstractListChromosome(T[]) - Constructor for class org.apache.commons.math3.genetics.AbstractListChromosome
-
Constructor, copying the input representation.
- AbstractMultipleLinearRegression - Class in org.apache.commons.math3.stat.regression
-
Abstract base class for implementations of MultipleLinearRegression.
- AbstractMultipleLinearRegression() - Constructor for class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
- AbstractMultivariateRealDistribution - Class in org.apache.commons.math3.distribution
-
Base class for multivariate probability distributions.
- AbstractMultivariateRealDistribution(RandomGenerator, int) - Constructor for class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
- AbstractOptimizationProblem<PAIR> - Class in org.apache.commons.math3.optim
-
Base class for implementing optimization problems.
- AbstractOptimizationProblem(int, int, ConvergenceChecker<PAIR>) - Constructor for class org.apache.commons.math3.optim.AbstractOptimizationProblem
-
Create an
AbstractOptimizationProblem
from the given data. - AbstractOptimizationProblem.MaxEvalCallback - Class in org.apache.commons.math3.optim
-
Defines the action to perform when reaching the maximum number of evaluations.
- AbstractOptimizationProblem.MaxIterCallback - Class in org.apache.commons.math3.optim
-
Defines the action to perform when reaching the maximum number of evaluations.
- AbstractParameterizable - Class in org.apache.commons.math3.ode
-
This abstract class provides boilerplate parameters list.
- AbstractParameterizable(String...) - Constructor for class org.apache.commons.math3.ode.AbstractParameterizable
-
Simple constructor.
- AbstractParameterizable(Collection<String>) - Constructor for class org.apache.commons.math3.ode.AbstractParameterizable
-
Simple constructor.
- AbstractPolynomialSolver - Class in org.apache.commons.math3.analysis.solvers
-
Base class for solvers.
- AbstractPolynomialSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver
-
Construct a solver with given absolute accuracy.
- AbstractPolynomialSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver
-
Construct a solver with given accuracies.
- AbstractPolynomialSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver
-
Construct a solver with given accuracies.
- AbstractRandomGenerator - Class in org.apache.commons.math3.random
-
Abstract class implementing the
RandomGenerator
interface. - AbstractRandomGenerator() - Constructor for class org.apache.commons.math3.random.AbstractRandomGenerator
-
Construct a RandomGenerator.
- AbstractRealDistribution - Class in org.apache.commons.math3.distribution
-
Base class for probability distributions on the reals.
- AbstractRealDistribution() - Constructor for class org.apache.commons.math3.distribution.AbstractRealDistribution
-
Deprecated.As of 3.1, to be removed in 4.0. Please use
AbstractRealDistribution(RandomGenerator)
instead. - AbstractRealDistribution(RandomGenerator) - Constructor for class org.apache.commons.math3.distribution.AbstractRealDistribution
- AbstractRealMatrix - Class in org.apache.commons.math3.linear
-
Basic implementation of RealMatrix methods regardless of the underlying storage.
- AbstractRealMatrix() - Constructor for class org.apache.commons.math3.linear.AbstractRealMatrix
-
Creates a matrix with no data
- AbstractRealMatrix(int, int) - Constructor for class org.apache.commons.math3.linear.AbstractRealMatrix
-
Create a new RealMatrix with the supplied row and column dimensions.
- AbstractRegion<S,
T> - Class in org.apache.commons.math3.geometry.partitioning -
Abstract class for all regions, independently of geometry type or dimension.
- AbstractRegion(double) - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Build a region representing the whole space.
- AbstractRegion(Collection<SubHyperplane<S>>, double) - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Build a Region from a Boundary REPresentation (B-rep).
- AbstractRegion(BSPTree<S>, double) - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Build a region from an inside/outside BSP tree.
- AbstractRegion(Hyperplane<S>[], double) - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Build a convex region from an array of bounding hyperplanes.
- AbstractScalarDifferentiableOptimizer - Class in org.apache.commons.math3.optimization.general
-
Deprecated.As of 3.1 (to be removed in 4.0).
- AbstractScalarDifferentiableOptimizer() - Constructor for class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer
-
Deprecated.
- AbstractScalarDifferentiableOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer
-
Deprecated.
- AbstractSimplex - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
-
This class implements the simplex concept.
- AbstractSimplex - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.As of 3.1 (to be removed in 4.0).
- AbstractSimplex(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
The start configuration for simplex is built from a box parallel to the canonical axes of the space.
- AbstractSimplex(double[]) - Constructor for class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.The start configuration for simplex is built from a box parallel to the canonical axes of the space.
- AbstractSimplex(double[][]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
The real initial simplex will be set up by moving the reference simplex such that its first point is located at the start point of the optimization.
- AbstractSimplex(double[][]) - Constructor for class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.The real initial simplex will be set up by moving the reference simplex such that its first point is located at the start point of the optimization.
- AbstractSimplex(int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
Build a unit hypercube simplex.
- AbstractSimplex(int) - Constructor for class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.Build a unit hypercube simplex.
- AbstractSimplex(int, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
Build a hypercube simplex with the given side length.
- AbstractSimplex(int, double) - Constructor for class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.Build a hypercube simplex with the given side length.
- AbstractStepInterpolator - Class in org.apache.commons.math3.ode.sampling
-
This abstract class represents an interpolator over the last step during an ODE integration.
- AbstractStepInterpolator() - Constructor for class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Simple constructor.
- AbstractStepInterpolator(double[], boolean, EquationsMapper, EquationsMapper[]) - Constructor for class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Simple constructor.
- AbstractStepInterpolator(AbstractStepInterpolator) - Constructor for class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Copy constructor.
- AbstractStorelessUnivariateStatistic - Class in org.apache.commons.math3.stat.descriptive
-
Abstract implementation of the
StorelessUnivariateStatistic
interface. - AbstractStorelessUnivariateStatistic() - Constructor for class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
- AbstractSubHyperplane<S,
T> - Class in org.apache.commons.math3.geometry.partitioning -
This class implements the dimension-independent parts of
SubHyperplane
. - AbstractSubHyperplane(Hyperplane<S>, Region<T>) - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
-
Build a sub-hyperplane from an hyperplane and a region.
- AbstractUnivariateDifferentiableSolver - Class in org.apache.commons.math3.analysis.solvers
-
Provide a default implementation for several functions useful to generic solvers.
- AbstractUnivariateDifferentiableSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateDifferentiableSolver
-
Construct a solver with given absolute accuracy.
- AbstractUnivariateDifferentiableSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateDifferentiableSolver
-
Construct a solver with given accuracies.
- AbstractUnivariateSolver - Class in org.apache.commons.math3.analysis.solvers
-
Base class for solvers.
- AbstractUnivariateSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateSolver
-
Construct a solver with given absolute accuracy.
- AbstractUnivariateSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateSolver
-
Construct a solver with given accuracies.
- AbstractUnivariateSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateSolver
-
Construct a solver with given accuracies.
- AbstractUnivariateStatistic - Class in org.apache.commons.math3.stat.descriptive
-
Abstract base class for all implementations of the
UnivariateStatistic
interface. - AbstractUnivariateStatistic() - Constructor for class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
- AbstractWell - Class in org.apache.commons.math3.random
-
This abstract class implements the WELL class of pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
- AbstractWell(int, int, int, int) - Constructor for class org.apache.commons.math3.random.AbstractWell
-
Creates a new random number generator.
- AbstractWell(int, int, int, int, int) - Constructor for class org.apache.commons.math3.random.AbstractWell
-
Creates a new random number generator using a single int seed.
- AbstractWell(int, int, int, int, int[]) - Constructor for class org.apache.commons.math3.random.AbstractWell
-
Creates a new random number generator using an int array seed.
- AbstractWell(int, int, int, int, long) - Constructor for class org.apache.commons.math3.random.AbstractWell
-
Creates a new random number generator using a single long seed.
- acceptStep(AbstractFieldStepInterpolator<T>, T) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Accept a step, triggering events and step handlers.
- acceptStep(AbstractStepInterpolator, double[], double[], double) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Accept a step, triggering events and step handlers.
- accuracy - Variable in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
-
If the median residual at a certain robustness iteration is less than this amount, no more iterations are done.
- acos() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Arc cosine operation.
- acos() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Arc cosine operation.
- acos() - Method in class org.apache.commons.math3.complex.Complex
-
Compute the inverse cosine of this complex number.
- acos() - Method in class org.apache.commons.math3.dfp.Dfp
-
Arc cosine operation.
- acos() - Method in interface org.apache.commons.math3.RealFieldElement
-
Arc cosine operation.
- acos() - Method in class org.apache.commons.math3.util.Decimal64
-
Arc cosine operation.
- acos(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the arc cosine of a number.
- acos(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute arc cosine of a derivative structure.
- acos(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
computes the arc-cosine of the argument.
- Acos - Class in org.apache.commons.math3.analysis.function
-
Arc-cosine function.
- Acos() - Constructor for class org.apache.commons.math3.analysis.function.Acos
- acosh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Inverse hyperbolic cosine operation.
- acosh() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Inverse hyperbolic cosine operation.
- acosh() - Method in class org.apache.commons.math3.dfp.Dfp
-
Inverse hyperbolic cosine operation.
- acosh() - Method in interface org.apache.commons.math3.RealFieldElement
-
Inverse hyperbolic cosine operation.
- acosh() - Method in class org.apache.commons.math3.util.Decimal64
-
Inverse hyperbolic cosine operation.
- acosh(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the inverse hyperbolic cosine of a number.
- acosh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute inverse hyperbolic cosine of a derivative structure.
- Acosh - Class in org.apache.commons.math3.analysis.function
-
Hyperbolic arc-cosine function.
- Acosh() - Constructor for class org.apache.commons.math3.analysis.function.Acosh
- Action - Enum in org.apache.commons.math3.ode.events
-
Enumerate for actions to be performed when an event occurs during ODE integration.
- Action() - Constructor for enum org.apache.commons.math3.ode.events.Action
- Action() - Constructor for enum org.apache.commons.math3.ode.events.EventHandler.Action
- AdamsBashforthFieldIntegrator<T> - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements explicit Adams-Bashforth integrators for Ordinary Differential Equations.
- AdamsBashforthFieldIntegrator(Field<T>, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsBashforthFieldIntegrator
-
Build an Adams-Bashforth integrator with the given order and step control parameters.
- AdamsBashforthFieldIntegrator(Field<T>, int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsBashforthFieldIntegrator
-
Build an Adams-Bashforth integrator with the given order and step control parameters.
- AdamsBashforthIntegrator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements explicit Adams-Bashforth integrators for Ordinary Differential Equations.
- AdamsBashforthIntegrator(int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsBashforthIntegrator
-
Build an Adams-Bashforth integrator with the given order and step control parameters.
- AdamsBashforthIntegrator(int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsBashforthIntegrator
-
Build an Adams-Bashforth integrator with the given order and step control parameters.
- AdamsFieldIntegrator<T> - Class in org.apache.commons.math3.ode.nonstiff
-
Base class for
Adams-Bashforth
andAdams-Moulton
integrators. - AdamsFieldIntegrator(Field<T>, String, int, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsFieldIntegrator
-
Build an Adams integrator with the given order and step control parameters.
- AdamsFieldIntegrator(Field<T>, String, int, int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsFieldIntegrator
-
Build an Adams integrator with the given order and step control parameters.
- AdamsFieldStepInterpolator<T> - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements an interpolator for Adams integrators using Nordsieck representation.
- AdamsFieldStepInterpolator(T, FieldODEStateAndDerivative<T>, T[], Array2DRowFieldMatrix<T>, boolean, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsFieldStepInterpolator
-
Simple constructor.
- AdamsFieldStepInterpolator(T, FieldODEStateAndDerivative<T>, T[], Array2DRowFieldMatrix<T>, boolean, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsFieldStepInterpolator
-
Simple constructor.
- AdamsIntegrator - Class in org.apache.commons.math3.ode.nonstiff
-
Base class for
Adams-Bashforth
andAdams-Moulton
integrators. - AdamsIntegrator(String, int, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
-
Build an Adams integrator with the given order and step control parameters.
- AdamsIntegrator(String, int, int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
-
Build an Adams integrator with the given order and step control parameters.
- AdamsMoultonFieldIntegrator<T> - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements implicit Adams-Moulton integrators for Ordinary Differential Equations.
- AdamsMoultonFieldIntegrator(Field<T>, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsMoultonFieldIntegrator
-
Build an Adams-Moulton integrator with the given order and error control parameters.
- AdamsMoultonFieldIntegrator(Field<T>, int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsMoultonFieldIntegrator
-
Build an Adams-Moulton integrator with the given order and error control parameters.
- AdamsMoultonFieldIntegrator.Corrector - Class in org.apache.commons.math3.ode.nonstiff
-
Corrector for current state in Adams-Moulton method.
- AdamsMoultonIntegrator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements implicit Adams-Moulton integrators for Ordinary Differential Equations.
- AdamsMoultonIntegrator(int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator
-
Build an Adams-Moulton integrator with the given order and error control parameters.
- AdamsMoultonIntegrator(int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator
-
Build an Adams-Moulton integrator with the given order and error control parameters.
- AdamsMoultonIntegrator.Corrector - Class in org.apache.commons.math3.ode.nonstiff
-
Corrector for current state in Adams-Moulton method.
- AdamsNordsieckFieldTransformer<T> - Class in org.apache.commons.math3.ode.nonstiff
-
Transformer to Nordsieck vectors for Adams integrators.
- AdamsNordsieckFieldTransformer(Field<T>, int) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckFieldTransformer
-
Simple constructor.
- AdamsNordsieckTransformer - Class in org.apache.commons.math3.ode.nonstiff
-
Transformer to Nordsieck vectors for Adams integrators.
- AdamsNordsieckTransformer(int) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
-
Simple constructor.
- AdaptiveStepsizeFieldIntegrator<T> - Class in org.apache.commons.math3.ode.nonstiff
-
This abstract class holds the common part of all adaptive stepsize integrators for Ordinary Differential Equations.
- AdaptiveStepsizeFieldIntegrator(Field<T>, String, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
-
Build an integrator with the given stepsize bounds.
- AdaptiveStepsizeFieldIntegrator(Field<T>, String, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
-
Build an integrator with the given stepsize bounds.
- AdaptiveStepsizeIntegrator - Class in org.apache.commons.math3.ode.nonstiff
-
This abstract class holds the common part of all adaptive stepsize integrators for Ordinary Differential Equations.
- AdaptiveStepsizeIntegrator(String, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Build an integrator with the given stepsize bounds.
- AdaptiveStepsizeIntegrator(String, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Build an integrator with the given stepsize bounds.
- add(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
'+' operator.
- add(double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
'+' operator.
- add(double) - Method in class org.apache.commons.math3.complex.Complex
-
Returns a
Complex
whose value is(this + addend)
, withaddend
interpreted as a real number. - add(double) - Method in class org.apache.commons.math3.dfp.Dfp
-
'+' operator.
- add(double) - Method in interface org.apache.commons.math3.RealFieldElement
-
'+' operator.
- add(double) - Method in class org.apache.commons.math3.util.Decimal64
-
'+' operator.
- add(double[], boolean) - Method in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere
-
Replace
i
-th facet of the microsphere. - add(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Perform addition of two derivative structures.
- add(double, double) - Method in class org.apache.commons.math3.fitting.WeightedObservedPoints
-
Adds a point to the sample.
- add(double, double, double) - Method in class org.apache.commons.math3.fitting.WeightedObservedPoints
-
Adds a point to the sample.
- add(double, FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Add a scaled vector to the instance.
- add(double, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Add a scaled vector to the instance.
- add(double, Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Add a scaled vector to the instance.
- add(double, Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Add a scaled vector to the instance.
- add(double, Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Add a scaled vector to the instance.
- add(double, Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
-
Add a scaled vector to the instance.
- add(int) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Adds the value of this fraction to the passed
integer
, returning the result in reduced form. - add(int) - Method in class org.apache.commons.math3.fraction.Fraction
-
Add an integer to the fraction.
- add(long) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Adds the value of this fraction to the passed
long
, returning the result in reduced form. - add(E) - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.FixedCapacityList
-
In addition it checks if the
ArrayList.size()
returns a size that is within capacity and if true it adds; otherwise the list contents are unchanged andfalse
is returned. - add(BigInteger) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Adds the value of this fraction to the passed
BigInteger
, returning the result in reduced form. - add(DifferentiableUnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
Deprecated.as of 3.1 replaced by
FunctionUtils.add(UnivariateDifferentiableFunction...)
- add(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Compute this + a.
- add(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Compute this + a.
- add(UnivariateDifferentiableFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
Adds functions.
- add(PolynomialFunction) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
-
Add a polynomial to the instance.
- add(UnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
Adds functions.
- add(Complex) - Method in class org.apache.commons.math3.complex.Complex
-
Returns a
Complex
whose value is(this + addend)
. - add(Quaternion) - Method in class org.apache.commons.math3.complex.Quaternion
-
Computes the sum of the instance and another quaternion.
- add(Quaternion, Quaternion) - Static method in class org.apache.commons.math3.complex.Quaternion
-
Computes the sum of two quaternions.
- add(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
-
Add x to this.
- add(WeightedObservedPoint) - Method in class org.apache.commons.math3.fitting.WeightedObservedPoints
-
Adds a point to the sample.
- add(BigFraction) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Adds the value of this fraction to another, returning the result in reduced form.
- add(Fraction) - Method in class org.apache.commons.math3.fraction.Fraction
-
Adds the value of this fraction to another, returning the result in reduced form.
- add(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Add a vector to the instance.
- add(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Add a vector to the instance.
- add(NestedLoops) - Method in class org.apache.commons.math3.geometry.euclidean.twod.NestedLoops
-
Add a loop in a tree.
- add(Vector2D[]) - Method in class org.apache.commons.math3.geometry.euclidean.twod.NestedLoops
-
Add a loop in a tree.
- add(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.NodesSet
-
Add a node if not already known.
- add(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Add a vector to the instance.
- add(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Add a vector to the instance.
- add(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Add a vector to the instance.
- add(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
-
Add a vector to the instance.
- add(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Add
m
to this matrix. - add(Array2DRowRealMatrix) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Compute the sum of
this
andm
. - add(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Compute the sum of
this
andv
. - add(BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Compute the sum of
this
andm
. - add(BlockRealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Compute the sum of this matrix and
m
. - add(DiagonalMatrix) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
-
Compute the sum of
this
andm
. - add(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Compute the sum of this and m.
- add(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Compute the sum of this and m.
- add(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Compute the sum of this and m.
- add(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Compute the sum of
this
andv
. - add(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Compute the sum of
this
andv
. - add(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Compute the sum of
this
andv
. - add(OpenMapRealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Compute the sum of this matrix and
m
. - add(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Optimized method to add two OpenMapRealVectors.
- add(RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns the sum of
this
andm
. - add(RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Returns the sum of
this
andm
. - add(RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Returns the sum of
this
andm
. - add(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Compute the sum of this vector and
v
. - add(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Compute the sum of this vector and
v
. - add(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
-
Compute the sum of this vector and
v
. - add(SparseFieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Optimized method to add sparse vectors.
- add(BigReal) - Method in class org.apache.commons.math3.util.BigReal
-
Compute this + a.
- add(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
-
Compute this + a.
- add(T) - Method in interface org.apache.commons.math3.FieldElement
-
Compute this + a.
- add(T, FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Add a scaled vector to the instance.
- add(T, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Add a scaled vector to the instance.
- Add - Class in org.apache.commons.math3.analysis.function
-
Add the two operands.
- Add() - Constructor for class org.apache.commons.math3.analysis.function.Add
- ADD_TRAP - Static variable in class org.apache.commons.math3.dfp.Dfp
-
Name for traps triggered by addition.
- addAll(Iterable<BSPTree<S>>) - Method in class org.apache.commons.math3.geometry.partitioning.NodesSet
-
Add nodes if they are not already known.
- addAll(Collection<? extends E>) - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.FixedCapacityList
-
In addition it checks if the sum of Collection size and this instance's
ArrayList.size()
returns a value that is within capacity and if true it adds the collection; otherwise the list contents are unchanged andfalse
is returned. - addAndCheck(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Add two integers, checking for overflow.
- addAndCheck(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Add two long integers, checking for overflow.
- addAndCheck(long, long, Localizable) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Add two long integers, checking for overflow.
- addArcLimit(BSPTree<Sphere1D>, double, boolean) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
-
Add an arc limit to a BSP tree under construction.
- addChromosome(Chromosome) - Method in class org.apache.commons.math3.genetics.ListPopulation
-
Add the given chromosome to the population.
- addChromosome(Chromosome) - Method in interface org.apache.commons.math3.genetics.Population
-
Add the given chromosome to the population.
- addChromosomes(Collection<Chromosome>) - Method in class org.apache.commons.math3.genetics.ListPopulation
-
Add a
Collection
of chromosomes to thisPopulation
. - addContribution(SubHyperplane<Euclidean3D>, boolean) - Method in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor.BoundaryProjector
-
Add he contribution of a boundary facet.
- addContribution(SubHyperplane<Euclidean3D>, boolean) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.FacetsContributionVisitor
-
Add he contribution of a boundary facet.
- addContribution(SubHyperplane<Euclidean2D>, BSPTree<Euclidean2D>, Iterable<BSPTree<Euclidean2D>>, boolean) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.SegmentsBuilder
-
Add the contribution of a boundary facet.
- addContribution(SubCircle, boolean, BSPTree<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.EdgesBuilder
-
Add the contribution of a boundary edge.
- addData(double[][]) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Adds the observations represented by the elements in
data
. - addData(double, double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Adds the observation (x,y) to the regression data set.
- addElement(double) - Method in interface org.apache.commons.math3.util.DoubleArray
-
Adds an element to the end of this expandable array
- addElement(double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Adds an element to the end of this expandable array.
- addElementRolling(double) - Method in interface org.apache.commons.math3.util.DoubleArray
-
Adds an element to the end of the array and removes the first element in the array.
- addElementRolling(double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Adds an element to the end of the array and removes the first element in the array.
- addElements(double[]) - Method in interface org.apache.commons.math3.util.DoubleArray
-
Adds elements to the end of this expandable array
- addElements(double[]) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Adds several element to the end of this expandable array.
- addEventHandler(EventHandler, double, double, int) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Add an event handler to the integrator.
- addEventHandler(EventHandler, double, double, int) - Method in interface org.apache.commons.math3.ode.ODEIntegrator
-
Add an event handler to the integrator.
- addEventHandler(EventHandler, double, double, int, UnivariateSolver) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Add an event handler to the integrator.
- addEventHandler(EventHandler, double, double, int, UnivariateSolver) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
Add an event handler to the integrator.
- addEventHandler(EventHandler, double, double, int, UnivariateSolver) - Method in interface org.apache.commons.math3.ode.ODEIntegrator
-
Add an event handler to the integrator.
- addEventHandler(FieldEventHandler<T>, double, double, int) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Add an event handler to the integrator.
- addEventHandler(FieldEventHandler<T>, double, double, int) - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator
-
Add an event handler to the integrator.
- addEventHandler(FieldEventHandler<T>, double, double, int, BracketedRealFieldUnivariateSolver<T>) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Add an event handler to the integrator.
- addEventHandler(FieldEventHandler<T>, double, double, int, BracketedRealFieldUnivariateSolver<T>) - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator
-
Add an event handler to the integrator.
- addExact(int, int) - Static method in class org.apache.commons.math3.util.FastMath
-
Add two numbers, detecting overflows.
- addExact(long, long) - Static method in class org.apache.commons.math3.util.FastMath
-
Add two numbers, detecting overflows.
- addInPlace(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Add in place.
- addInsideTouching(SubHyperplane<S>, List<BSPTree<S>>) - Method in class org.apache.commons.math3.geometry.partitioning.Characterization
-
Add a part of the cut sub-hyperplane known to touch an inside cell.
- addIterationListener(IterationListener) - Method in class org.apache.commons.math3.util.IterationManager
-
Attaches a listener to this manager.
- ADDITIVE - Enum constant in enum org.apache.commons.math3.util.ResizableDoubleArray.ExpansionMode
-
Additive expansion mode.
- ADDITIVE_MODE - Static variable in class org.apache.commons.math3.util.ResizableDoubleArray
-
Deprecated.As of 3.1. Please use
ResizableDoubleArray.ExpansionMode.ADDITIVE
instead. - addLink(Neuron, Neuron) - Method in class org.apache.commons.math3.ml.neuralnet.Network
-
Adds a link from neuron
a
to neuronb
. - addLinkToLinkSet(Set<Long>, long) - Method in class org.apache.commons.math3.ml.neuralnet.Network
-
Adds a link to neuron
id
in givenlinkSet
. - addMessage(Localizable, Object...) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
-
Adds a message.
- addObservation(double[], double) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
Adds an observation to the regression model.
- addObservation(double[], double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Adds one observation to the regression model.
- addObservation(double[], double) - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
-
Adds one observation to the regression model.
- addObservations(double[][], double[]) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
Adds multiple observations to the model.
- addObservations(double[][], double[]) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Adds a series of observations to the regression model.
- addObservations(double[][], double[]) - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
-
Adds a series of observations to the regression model.
- addObservedPoint(double, double) - Method in class org.apache.commons.math3.fitting.CurveFitter
-
Deprecated.Add an observed (x,y) point to the sample with unit weight.
- addObservedPoint(double, double) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
-
Deprecated.Add an observed (x,y) point to the sample with unit weight.
- addObservedPoint(double, double, double) - Method in class org.apache.commons.math3.fitting.CurveFitter
-
Deprecated.Add an observed weighted (x,y) point to the sample.
- addObservedPoint(double, double, double) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
-
Deprecated.Add an observed weighted (x,y) point to the sample.
- addObservedPoint(WeightedObservedPoint) - Method in class org.apache.commons.math3.fitting.CurveFitter
-
Deprecated.Add an observed weighted (x,y) point to the sample.
- addObservedPoint(WeightedObservedPoint) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
-
Deprecated.Add an observed weighted (x,y) point to the sample.
- addOutsideTouching(SubHyperplane<S>, List<BSPTree<S>>) - Method in class org.apache.commons.math3.geometry.partitioning.Characterization
-
Add a part of the cut sub-hyperplane known to touch an outside cell.
- addParameterJacobianProvider(ParameterJacobianProvider) - Method in class org.apache.commons.math3.ode.JacobianMatrices
-
Add a parameter Jacobian provider.
- addPoint(T) - Method in class org.apache.commons.math3.ml.clustering.Cluster
-
Add a point to this cluster.
- addPoint(T) - Method in class org.apache.commons.math3.stat.clustering.Cluster
-
Deprecated.Add a point to this cluster.
- addRegion(SubHyperplane<S>, List<Region<T>>) - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryProjector
-
Add a boundary region to a list.
- addRule(Pair<T[], T[]>) - Method in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
-
Stores a rule.
- addSamplePoint(double, double[]...) - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
-
Add a sample point.
- addSamplePoint(T, T[]...) - Method in class org.apache.commons.math3.analysis.interpolation.FieldHermiteInterpolator
-
Add a sample point.
- addSecondaryEquations(FieldSecondaryEquations<T>) - Method in class org.apache.commons.math3.ode.FieldExpandableODE
-
Add a set of secondary equations to be integrated along with the primary set.
- addSecondaryEquations(SecondaryEquations) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Add a set of secondary equations to be integrated along with the primary set.
- addStepHandler(FieldStepHandler<T>) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Add a step handler to this integrator.
- addStepHandler(FieldStepHandler<T>) - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator
-
Add a step handler to this integrator.
- addStepHandler(StepHandler) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Add a step handler to this integrator.
- addStepHandler(StepHandler) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
Add a step handler to this integrator.
- addStepHandler(StepHandler) - Method in interface org.apache.commons.math3.ode.ODEIntegrator
-
Add a step handler to this integrator.
- addSub(Fraction, boolean) - Method in class org.apache.commons.math3.fraction.Fraction
-
Implement add and subtract using algorithm described in Knuth 4.5.1.
- addSubEdge(Vertex, Vertex, double, List<Edge>, Circle) - Method in class org.apache.commons.math3.geometry.spherical.twod.Edge
-
Add a sub-edge to a list if long enough.
- addToEntry(int, double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Change an entry at the specified index.
- addToEntry(int, double) - Method in class org.apache.commons.math3.linear.RealVector
-
Change an entry at the specified index.
- addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Adds (in place) the specified value to the specified entry of
this
matrix. - addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Adds (in place) the specified value to the specified entry of
this
matrix. - addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Adds (in place) the specified value to the specified entry of
this
matrix. - addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
-
Adds (in place) the specified value to the specified entry of
this
matrix. - addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Adds (in place) the specified value to the specified entry of
this
matrix. - addToEntry(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Adds (in place) the specified value to the specified entry of
this
matrix. - addToEntry(int, int, T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Change an entry in the specified row and column.
- addToEntry(int, int, T) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Change an entry in the specified row and column.
- addToEntry(int, int, T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Change an entry in the specified row and column.
- addToEntry(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Change an entry in the specified row and column.
- addToEntry(int, int, T) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
-
Change an entry in the specified row and column.
- addValue(char) - Method in class org.apache.commons.math3.stat.Frequency
-
Adds 1 to the frequency count for v.
- addValue(double) - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics.AggregatingSummaryStatistics
-
Add a value to the data
- addValue(double) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Adds the value to the dataset.
- addValue(double) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Add a value to the data
- addValue(double) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
-
Adds the value to the dataset.
- addValue(double) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Add a value to the data
- addValue(double[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Add an n-tuple to the data
- addValue(double[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Add an n-tuple to the data
- addValue(int) - Method in class org.apache.commons.math3.stat.Frequency
-
Adds 1 to the frequency count for v.
- addValue(long) - Method in class org.apache.commons.math3.stat.Frequency
-
Adds 1 to the frequency count for v.
- addValue(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency
-
Adds 1 to the frequency count for v.
- ADJRSQ_IDX - Static variable in class org.apache.commons.math3.stat.regression.RegressionResults
-
INDEX of Adjusted R Squared
- adjustHeightsOfMarkers() - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Markers
-
Adjust marker heights by setting quantile estimates to middle markers.
- advance() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator
-
Advance iterator one step further.
- advance() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator
-
Advance iterator one step further.
- advance(RealVector.Entry) - Method in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
-
Advance an entry up to the next nonzero one.
- after - Variable in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonFieldIntegrator.Corrector
-
Current state after correction.
- after - Variable in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator.Corrector
-
Current state after correction.
- aggregate(Collection<? extends StatisticalSummary>) - Static method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Computes aggregate summary statistics.
- aggregateStatistics - Variable in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics.AggregatingSummaryStatistics
-
An additional SummaryStatistics into which values added to these statistics (and possibly others) are aggregated
- AggregateSummaryStatistics - Class in org.apache.commons.math3.stat.descriptive
-
An aggregator for
SummaryStatistics
from several data sets or data set partitions. - AggregateSummaryStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Initializes a new AggregateSummaryStatistics with default statistics implementations.
- AggregateSummaryStatistics(SummaryStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Initializes a new AggregateSummaryStatistics with the specified statistics object as a prototype for contributing statistics and for the internal aggregate statistics.
- AggregateSummaryStatistics(SummaryStatistics, SummaryStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Initializes a new AggregateSummaryStatistics with the specified statistics object as a prototype for contributing statistics and for the internal aggregate statistics.
- AggregateSummaryStatistics.AggregatingSummaryStatistics - Class in org.apache.commons.math3.stat.descriptive
-
A SummaryStatistics that also forwards all values added to it to a second
SummaryStatistics
for aggregation. - AggregatingSummaryStatistics(SummaryStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics.AggregatingSummaryStatistics
-
Initializes a new AggregatingSummaryStatistics with the specified aggregate statistics object
- AGRESTI_COULL - Static variable in class org.apache.commons.math3.stat.interval.IntervalUtils
-
Singleton Agresti-Coull instance.
- AgrestiCoullInterval - Class in org.apache.commons.math3.stat.interval
-
Implements the Agresti-Coull method for creating a binomial proportion confidence interval.
- AgrestiCoullInterval() - Constructor for class org.apache.commons.math3.stat.interval.AgrestiCoullInterval
- AINV - Static variable in class org.apache.commons.math3.analysis.interpolation.BicubicInterpolatingFunction
-
Matrix to compute the spline coefficients from the function values and function derivatives values
- AINV - Static variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
-
Deprecated.Matrix to compute the spline coefficients from the function values and function derivatives values
- AINV - Static variable in class org.apache.commons.math3.analysis.interpolation.TricubicInterpolatingFunction
-
Matrix to compute the spline coefficients from the function values and function derivatives values
- AINV - Static variable in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolatingFunction
-
Deprecated.Matrix to compute the spline coefficients from the function values and function derivatives values
- AkimaSplineInterpolator - Class in org.apache.commons.math3.analysis.interpolation
-
Computes a cubic spline interpolation for the data set using the Akima algorithm, as originally formulated by Hiroshi Akima in his 1970 paper "A New Method of Interpolation and Smooth Curve Fitting Based on Local Procedures." J.
- AkimaSplineInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.AkimaSplineInterpolator
- AklToussaintHeuristic - Class in org.apache.commons.math3.geometry.euclidean.twod.hull
-
A simple heuristic to improve the performance of convex hull algorithms.
- AklToussaintHeuristic() - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.hull.AklToussaintHeuristic
-
Hide utility constructor.
- algorithmBB(RandomGenerator, double, double, double) - Static method in class org.apache.commons.math3.distribution.BetaDistribution.ChengBetaSampler
-
Returns one sample using Cheng's BB algorithm, when both α and β are greater than 1.
- algorithmBC(RandomGenerator, double, double, double) - Static method in class org.apache.commons.math3.distribution.BetaDistribution.ChengBetaSampler
-
Returns one sample using Cheng's BC algorithm, when at least one of α and β is smaller than 1.
- align(int) - Method in class org.apache.commons.math3.dfp.Dfp
-
Make our exp equal to the supplied one, this may cause rounding.
- ALIGN_TRAP - Static variable in class org.apache.commons.math3.dfp.Dfp
-
Name for traps triggered by alignment.
- All classes and sub-packages of this package are deprecated. - Search tag in package org.apache.commons.math3.optimization
- Section
- All classes and sub-packages of this package are deprecated. - Search tag in package org.apache.commons.math3.stat.clustering
- Section
- allocateInterpolatedArrays(int) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Allocate the various interpolated states arrays.
- allowed - Variable in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
-
The kinds of solutions that the algorithm may accept.
- allowed - Variable in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
-
The kinds of solutions that the algorithm may accept.
- AllowedSolution - Enum in org.apache.commons.math3.analysis.solvers
-
The kinds of solutions that a
(bracketed univariate real) root-finding algorithm
may accept as solutions. - AllowedSolution() - Constructor for enum org.apache.commons.math3.analysis.solvers.AllowedSolution
- alpha - Variable in class org.apache.commons.math3.distribution.BetaDistribution
-
First shape parameter.
- alpha - Variable in class org.apache.commons.math3.geometry.spherical.oned.S1Point
-
Azimuthal angle \( \alpha \).
- alpha - Variable in class org.apache.commons.math3.random.StableRandomGenerator
-
stability parameter
- AlternativeHypothesis - Enum in org.apache.commons.math3.stat.inference
-
Represents an alternative hypothesis for a hypothesis test.
- AlternativeHypothesis() - Constructor for enum org.apache.commons.math3.stat.inference.AlternativeHypothesis
- alternativeNewPoint - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Alternative to
BOBYQAOptimizer.newPoint
, chosen byaltmov
. - alternativeNewPoint - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Alternative to
BOBYQAOptimizer.newPoint
, chosen byaltmov
. - altmov(int, double) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
The arguments N, NPT, XPT, XOPT, BMAT, ZMAT, NDIM, SL and SU all have the same meanings as the corresponding arguments of BOBYQB.
- altmov(int, double) - Method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.The arguments N, NPT, XPT, XOPT, BMAT, ZMAT, NDIM, SL and SU all have the same meanings as the corresponding arguments of BOBYQB.
- amplitude - Variable in class org.apache.commons.math3.analysis.function.HarmonicOscillator
-
Amplitude.
- angle - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Angle with respect to the abscissa axis.
- angle(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Compute the angular separation between two vectors.
- angle(FieldVector3D<T>, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Compute the angular separation between two vectors.
- angle(Vector3D, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Compute the angular separation between two vectors.
- angle(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Compute the angular separation between two vectors.
- angle(Vector2D, Vector2D) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Compute the angular separation between two vectors.
- anovaFValue(Collection<double[]>) - Method in class org.apache.commons.math3.stat.inference.OneWayAnova
-
Computes the ANOVA F-value for a collection of
double[]
arrays. - anovaPValue(Collection<double[]>) - Method in class org.apache.commons.math3.stat.inference.OneWayAnova
-
Computes the ANOVA P-value for a collection of
double[]
arrays. - anovaPValue(Collection<SummaryStatistics>, boolean) - Method in class org.apache.commons.math3.stat.inference.OneWayAnova
-
Computes the ANOVA P-value for a collection of
SummaryStatistics
. - anovaStats(Collection<double[]>) - Method in class org.apache.commons.math3.stat.inference.OneWayAnova
-
This method calls the method that actually does the calculations (except P-value).
- anovaStats(Collection<SummaryStatistics>, boolean) - Method in class org.apache.commons.math3.stat.inference.OneWayAnova
-
This method actually does the calculations (except P-value).
- AnovaStats(int, int, double) - Constructor for class org.apache.commons.math3.stat.inference.OneWayAnova.AnovaStats
-
Constructor
- anovaTest(Collection<double[]>, double) - Method in class org.apache.commons.math3.stat.inference.OneWayAnova
-
Performs an ANOVA test, evaluating the null hypothesis that there is no difference among the means of the data categories.
- ANY_SIDE - Enum constant in enum org.apache.commons.math3.analysis.solvers.AllowedSolution
-
There are no additional side restriction on the solutions for root-finding.
- AnyMatrix - Interface in org.apache.commons.math3.linear
-
Interface defining very basic matrix operations.
- append(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a new vector by appending a double to this vector.
- append(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Construct a new vector by appending a double to this vector.
- append(double) - Method in class org.apache.commons.math3.linear.RealVector
-
Construct a new vector by appending a double to this vector.
- append(StringBuilder, double[], String, String, String) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Append a text representation of an array to a buffer.
- append(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector by appending a vector to this vector.
- append(ArrayRealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a vector by appending a vector to this vector.
- append(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector by appending a vector to this vector.
- append(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Construct a vector by appending a vector to this vector.
- append(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Construct a vector by appending a vector to this vector.
- append(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Optimized method to append a OpenMapRealVector.
- append(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a new vector by appending a vector to this vector.
- append(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Construct a new vector by appending a vector to this vector.
- append(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
-
Construct a new vector by appending a vector to this vector.
- append(SparseFieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Construct a vector by appending a vector to this vector.
- append(ContinuousOutputFieldModel<T>) - Method in class org.apache.commons.math3.ode.ContinuousOutputFieldModel
-
Append another model at the end of the instance.
- append(ContinuousOutputModel) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
-
Append another model at the end of the instance.
- append(StorelessBivariateCovariance) - Method in class org.apache.commons.math3.stat.correlation.StorelessBivariateCovariance
-
Appends another bivariate covariance calculation to this.
- append(StorelessCovariance) - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
-
Appends
sc
to this, effectively aggregating the computations insc
with this. - append(SimpleRegression) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Appends data from another regression calculation to this one.
- append(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector by appending a T to this vector.
- append(T) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Construct a vector by appending a T to this vector.
- append(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Construct a vector by appending a T to this vector.
- apply(double[], double[], double[][]) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicFunction
-
Compute the value of the bicubic polynomial.
- apply(double[], double[], double[][]) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
-
Compute the value of the bicubic polynomial.
- apply(Hyperplane<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.RotationTransform
-
Transform an hyperplane of a space.
- apply(Hyperplane<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.TranslationTransform
-
Transform an hyperplane of a space.
- apply(Hyperplane<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
-
Transform an hyperplane of a space.
- apply(Hyperplane<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle.CircleTransform
-
Transform an hyperplane of a space.
- apply(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Transform
-
Transform an hyperplane of a space.
- apply(SubHyperplane<Euclidean1D>, Hyperplane<Euclidean2D>, Hyperplane<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
-
Transform a sub-hyperplane embedded in an hyperplane.
- apply(SubHyperplane<Euclidean2D>, Hyperplane<Euclidean3D>, Hyperplane<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.RotationTransform
-
Transform a sub-hyperplane embedded in an hyperplane.
- apply(SubHyperplane<Euclidean2D>, Hyperplane<Euclidean3D>, Hyperplane<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.TranslationTransform
-
Transform a sub-hyperplane embedded in an hyperplane.
- apply(SubHyperplane<Sphere1D>, Hyperplane<Sphere2D>, Hyperplane<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle.CircleTransform
-
Transform a sub-hyperplane embedded in an hyperplane.
- apply(SubHyperplane<T>, Hyperplane<S>, Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Transform
-
Transform a sub-hyperplane embedded in an hyperplane.
- apply(Point<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.RotationTransform
-
Transform a point of a space.
- apply(Point<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.TranslationTransform
-
Transform a point of a space.
- apply(Point<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
-
Transform a point of a space.
- apply(Point<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle.CircleTransform
-
Transform a point of a space.
- apply(Point<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Transform
-
Transform a point of a space.
- apply(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Apply the given statistic to the data associated with this set of statistics.
- apply(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
-
Apply the given statistic to the data associated with this set of statistics.
- applyInverseTo(double[], double[]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Apply the inverse of the rotation to a vector stored in an array.
- applyInverseTo(double[], T[]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Apply the inverse of the rotation to a vector stored in an array.
- applyInverseTo(FieldRotation<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Apply the inverse of the instance to another rotation.
- applyInverseTo(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Apply the inverse of the rotation to a vector.
- applyInverseTo(Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Apply the inverse of the instance to another rotation.
- applyInverseTo(Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Apply the inverse of the instance to another rotation.
- applyInverseTo(Rotation, FieldRotation<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Apply the inverse of a rotation to another rotation.
- applyInverseTo(Rotation, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Apply the inverse of a rotation to a vector.
- applyInverseTo(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Apply the inverse of the rotation to a vector.
- applyInverseTo(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Apply the inverse of the rotation to a vector.
- applyInverseTo(T[], T[]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Apply the inverse of the rotation to a vector stored in an array.
- applyTo(double[], double[]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Apply the rotation to a vector stored in an array.
- applyTo(double[], T[]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Apply the rotation to a vector stored in an array.
- applyTo(FieldRotation<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Apply the instance to another rotation.
- applyTo(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Apply the rotation to a vector.
- applyTo(Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Apply the instance to another rotation.
- applyTo(Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Apply the instance to another rotation.
- applyTo(Rotation, FieldRotation<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Apply a rotation to another rotation.
- applyTo(Rotation, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Apply a rotation to a vector.
- applyTo(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Apply the rotation to a vector.
- applyTo(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Apply the rotation to a vector.
- applyTo(T[], T[]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Apply the rotation to a vector stored in an array.
- applyTransform(Transform<S, T>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Transform a region.
- applyTransform(Transform<S, T>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
-
Apply a transform to the instance.
- approximateP(double, int, int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Uses the Kolmogorov-Smirnov distribution to approximate \(P(D_{n,m} > d)\) where \(D_{n,m}\) is the 2-sample Kolmogorov-Smirnov statistic.
- approximateP(double, int, int) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- Arc - Class in org.apache.commons.math3.geometry.spherical.oned
-
This class represents an arc on a circle.
- Arc(double, double, double) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.Arc
-
Simple constructor.
- ArcsSet - Class in org.apache.commons.math3.geometry.spherical.oned
-
This class represents a region of a circle: a set of arcs.
- ArcsSet(double) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
-
Build an arcs set representing the whole circle.
- ArcsSet(double, double, double) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
-
Build an arcs set corresponding to a single arc.
- ArcsSet(Collection<SubHyperplane<Sphere1D>>, double) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
-
Build an arcs set from a Boundary REPresentation (B-rep).
- ArcsSet(BSPTree<Sphere1D>, double) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
-
Build an arcs set from an inside/outside BSP tree.
- ArcsSet.InconsistentStateAt2PiWrapping - Exception Class in org.apache.commons.math3.geometry.spherical.oned
-
Specialized exception for inconsistent BSP tree state inconsistency.
- ArcsSet.Split - Class in org.apache.commons.math3.geometry.spherical.oned
-
Class holding the results of the
split
method. - ArcsSet.SubArcsIterator - Class in org.apache.commons.math3.geometry.spherical.oned
-
Local iterator for sub-arcs.
- argument - Variable in exception class org.apache.commons.math3.exception.MathIllegalNumberException
-
Requested.
- ARGUMENT_OUTSIDE_DOMAIN - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- ArgUtils - Class in org.apache.commons.math3.exception.util
-
Utility class for transforming the list of arguments passed to constructors of exceptions.
- ArgUtils() - Constructor for class org.apache.commons.math3.exception.util.ArgUtils
-
Class contains only static methods.
- ARITHMETIC_EXCEPTION - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- ArithmeticUtils - Class in org.apache.commons.math3.util
-
Some useful, arithmetics related, additions to the built-in functions in
Math
. - ArithmeticUtils() - Constructor for class org.apache.commons.math3.util.ArithmeticUtils
-
Private constructor.
- arity - Variable in class org.apache.commons.math3.genetics.TournamentSelection
-
number of chromosomes included in the tournament selections
- arr - Variable in class org.apache.commons.math3.random.ISAACRandom
-
Service variable.
- ARRAY_ELEMENT - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- ARRAY_SIZE_EXCEEDS_MAX_VARIABLES - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- ARRAY_SIZES_SHOULD_HAVE_DIFFERENCE_1 - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- ARRAY_SUMS_TO_ZERO - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- ARRAY_ZERO_LENGTH_OR_NULL_NOT_ALLOWED - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- Array2DRowFieldMatrix<T> - Class in org.apache.commons.math3.linear
-
Implementation of FieldMatrix
using a FieldElement
[][] array to store entries. - Array2DRowFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Creates a matrix with no data
- Array2DRowFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Create a new
FieldMatrix<T>
with the supplied row and column dimensions. - Array2DRowFieldMatrix(Field<T>, T[]) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Create a new (column)
FieldMatrix<T>
usingv
as the data for the unique column of the created matrix. - Array2DRowFieldMatrix(Field<T>, T[][]) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Create a new
FieldMatrix<T>
using the input array as the underlying data array. - Array2DRowFieldMatrix(Field<T>, T[][], boolean) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Create a new
FieldMatrix<T>
using the input array as the underlying data array. - Array2DRowFieldMatrix(T[]) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Create a new (column)
FieldMatrix<T>
usingv
as the data for the unique column of the created matrix. - Array2DRowFieldMatrix(T[][]) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Create a new
FieldMatrix<T>
using the input array as the underlying data array. - Array2DRowFieldMatrix(T[][], boolean) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Create a new
FieldMatrix<T>
using the input array as the underlying data array. - Array2DRowRealMatrix - Class in org.apache.commons.math3.linear
-
Implementation of
RealMatrix
using adouble[][]
array to store entries. - Array2DRowRealMatrix() - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Creates a matrix with no data
- Array2DRowRealMatrix(double[]) - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Create a new (column) RealMatrix using
v
as the data for the unique column of the created matrix. - Array2DRowRealMatrix(double[][]) - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Create a new
RealMatrix
using the input array as the underlying data array. - Array2DRowRealMatrix(double[][], boolean) - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Create a new RealMatrix using the input array as the underlying data array.
- Array2DRowRealMatrix(int, int) - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Create a new RealMatrix with the supplied row and column dimensions.
- ArrayDataAdapter(double[]) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution.ArrayDataAdapter
-
Construct an ArrayDataAdapter from a double[] array
- ArrayFieldVector<T> - Class in org.apache.commons.math3.linear
-
This class implements the
FieldVector
interface with aFieldElement
array. - ArrayFieldVector(int, T) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector with preset values.
- ArrayFieldVector(Field<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Build a 0-length vector.
- ArrayFieldVector(Field<T>, int) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector of zeroes.
- ArrayFieldVector(Field<T>, T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector from an array, copying the input array.
- ArrayFieldVector(Field<T>, T[], boolean) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Create a new ArrayFieldVector using the input array as the underlying data array.
- ArrayFieldVector(Field<T>, T[], int, int) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector from part of a array.
- ArrayFieldVector(Field<T>, T[], T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector by appending one vector to another vector.
- ArrayFieldVector(ArrayFieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector from another vector, using a deep copy.
- ArrayFieldVector(ArrayFieldVector<T>, boolean) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector from another vector.
- ArrayFieldVector(ArrayFieldVector<T>, ArrayFieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Deprecated.as of 3.2, replaced by
ArrayFieldVector(FieldVector, FieldVector)
- ArrayFieldVector(ArrayFieldVector<T>, T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Deprecated.as of 3.2, replaced by
ArrayFieldVector(FieldVector, FieldElement[])
- ArrayFieldVector(FieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector from another vector, using a deep copy.
- ArrayFieldVector(FieldVector<T>, FieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector by appending one vector to another vector.
- ArrayFieldVector(FieldVector<T>, T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector by appending one vector to another vector.
- ArrayFieldVector(T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector from an array, copying the input array.
- ArrayFieldVector(T[], boolean) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Create a new ArrayFieldVector using the input array as the underlying data array.
- ArrayFieldVector(T[], int, int) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector from part of a array.
- ArrayFieldVector(T[], ArrayFieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Deprecated.as of 3.2, replaced by
ArrayFieldVector(FieldElement[], FieldVector)
- ArrayFieldVector(T[], FieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector by appending one vector to another vector.
- ArrayFieldVector(T[], T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
-
Construct a vector by appending one vector to another vector.
- ArrayRealVector - Class in org.apache.commons.math3.linear
-
This class implements the
RealVector
interface with a double array. - ArrayRealVector() - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Build a 0-length vector.
- ArrayRealVector(double[]) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a vector from an array, copying the input array.
- ArrayRealVector(double[], boolean) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Create a new ArrayRealVector using the input array as the underlying data array.
- ArrayRealVector(double[], double[]) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a vector by appending one vector to another vector.
- ArrayRealVector(double[], int, int) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a vector from part of a array.
- ArrayRealVector(double[], ArrayRealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a vector by appending one vector to another vector.
- ArrayRealVector(int) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a vector of zeroes.
- ArrayRealVector(int, double) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a vector with preset values.
- ArrayRealVector(Double[]) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a vector from an array.
- ArrayRealVector(Double[], int, int) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a vector from part of an array.
- ArrayRealVector(ArrayRealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a vector from another vector, using a deep copy.
- ArrayRealVector(ArrayRealVector, boolean) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a vector from another vector.
- ArrayRealVector(ArrayRealVector, double[]) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a vector by appending one vector to another vector.
- ArrayRealVector(ArrayRealVector, ArrayRealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a vector by appending one vector to another vector.
- ArrayRealVector(ArrayRealVector, RealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a vector by appending one vector to another vector.
- ArrayRealVector(RealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a vector from another vector, using a deep copy.
- ArrayRealVector(RealVector, ArrayRealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
-
Construct a vector by appending one vector to another vector.
- asin() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Arc sine operation.
- asin() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Arc sine operation.
- asin() - Method in class org.apache.commons.math3.complex.Complex
-
Compute the inverse sine of this complex number.
- asin() - Method in class org.apache.commons.math3.dfp.Dfp
-
Arc sine operation.
- asin() - Method in interface org.apache.commons.math3.RealFieldElement
-
Arc sine operation.
- asin() - Method in class org.apache.commons.math3.util.Decimal64
-
Arc sine operation.
- asin(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the arc sine of a number.
- asin(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute arc sine of a derivative structure.
- asin(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
computes the arc-sine of the argument.
- Asin - Class in org.apache.commons.math3.analysis.function
-
Arc-sine function.
- Asin() - Constructor for class org.apache.commons.math3.analysis.function.Asin
- asinh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Inverse hyperbolic sine operation.
- asinh() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Inverse hyperbolic sine operation.
- asinh() - Method in class org.apache.commons.math3.dfp.Dfp
-
Inverse hyperbolic sine operation.
- asinh() - Method in interface org.apache.commons.math3.RealFieldElement
-
Inverse hyperbolic sine operation.
- asinh() - Method in class org.apache.commons.math3.util.Decimal64
-
Inverse hyperbolic sine operation.
- asinh(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the inverse hyperbolic sine of a number.
- asinh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute inverse hyperbolic sine of a derivative structure.
- Asinh - Class in org.apache.commons.math3.analysis.function
-
Hyperbolic arc-sine function.
- Asinh() - Constructor for class org.apache.commons.math3.analysis.function.Asinh
- asList() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Build an ordered list of intervals representing the instance.
- asList() - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
-
Build an ordered list of arcs representing the instance.
- assignPointsToClusters(List<CentroidCluster<T>>, Collection<T>, int[]) - Method in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
-
Adds the given points to the closest
Cluster
. - assignPointsToClusters(List<Cluster<T>>, Collection<T>, int[]) - Static method in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
-
Deprecated.Adds the given points to the closest
Cluster
. - ASSYMETRIC_EIGEN_NOT_SUPPORTED - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- AT_LEAST_ONE_COLUMN - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- AT_LEAST_ONE_ROW - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- atan() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Arc tangent operation.
- atan() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Arc tangent operation.
- atan() - Method in class org.apache.commons.math3.complex.Complex
-
Compute the inverse tangent of this complex number.
- atan() - Method in class org.apache.commons.math3.dfp.Dfp
-
Arc tangent operation.
- atan() - Method in interface org.apache.commons.math3.RealFieldElement
-
Arc tangent operation.
- atan() - Method in class org.apache.commons.math3.util.Decimal64
-
Arc tangent operation.
- atan(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Arctangent function
- atan(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute arc tangent of a derivative structure.
- atan(double, double, boolean) - Static method in class org.apache.commons.math3.util.FastMath
-
Internal helper function to compute arctangent.
- atan(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
computes the arc tangent of the argument Uses the typical taylor series but may reduce arguments using the following identity tan(x+y) = (tan(x) + tan(y)) / (1 - tan(x)*tan(y)) since tan(PI/8) = sqrt(2)-1, atan(x) = atan( (x - sqrt(2) + 1) / (1+x*sqrt(2) - x) + PI/8.0
- Atan - Class in org.apache.commons.math3.analysis.function
-
Arc-tangent function.
- Atan() - Constructor for class org.apache.commons.math3.analysis.function.Atan
- atan2(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute two arguments arc tangent of a derivative structure.
- atan2(double, double) - Static method in class org.apache.commons.math3.util.FastMath
-
Two arguments arctangent function
- atan2(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Two arguments arc tangent operation.
- atan2(DerivativeStructure, DerivativeStructure) - Static method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Two arguments arc tangent operation.
- atan2(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Two arguments arc tangent operation.
- atan2(SparseGradient, SparseGradient) - Static method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Two arguments arc tangent operation.
- atan2(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
-
Two arguments arc tangent operation.
- atan2(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
-
Two arguments arc tangent operation.
- atan2(T) - Method in interface org.apache.commons.math3.RealFieldElement
-
Two arguments arc tangent operation.
- Atan2 - Class in org.apache.commons.math3.analysis.function
-
Arc-tangent function.
- Atan2() - Constructor for class org.apache.commons.math3.analysis.function.Atan2
- atanh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Inverse hyperbolic tangent operation.
- atanh() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Inverse hyperbolic tangent operation.
- atanh() - Method in class org.apache.commons.math3.dfp.Dfp
-
Inverse hyperbolic tangent operation.
- atanh() - Method in interface org.apache.commons.math3.RealFieldElement
-
Inverse hyperbolic tangent operation.
- atanh() - Method in class org.apache.commons.math3.util.Decimal64
-
Inverse hyperbolic tangent operation.
- atanh(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the inverse hyperbolic tangent of a number.
- atanh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute inverse hyperbolic tangent of a derivative structure.
- Atanh - Class in org.apache.commons.math3.analysis.function
-
Hyperbolic arc-tangent function.
- Atanh() - Constructor for class org.apache.commons.math3.analysis.function.Atanh
- atanInternal(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
computes the arc-tangent of the argument.
- attemptNeuronUpdate(Neuron, double[], double) - Method in class org.apache.commons.math3.ml.neuralnet.sofm.KohonenUpdateAction
-
Tries to update a neuron.
- attribute - Variable in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Application-defined attribute.
- AVERAGE - Enum constant in enum org.apache.commons.math3.stat.ranking.TiesStrategy
-
Ties get the average of applicable ranks
- averageDistances(NeuronSquareMesh2D) - Method in class org.apache.commons.math3.ml.neuralnet.twod.util.UnifiedDistanceMatrix
-
Computes the distances between a unit of the map and its neighbours.
- AVLTree<T> - Class in org.apache.commons.math3.geometry.partitioning.utilities
-
Deprecated.as of 3.4, this class is not used anymore and considered to be out of scope of Apache Commons Math
- AVLTree() - Constructor for class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
-
Deprecated.Build an empty tree.
- AVLTree.Node - Class in org.apache.commons.math3.geometry.partitioning.utilities
-
Deprecated.This class implements AVL trees nodes.
- AVLTree.Skew - Enum in org.apache.commons.math3.geometry.partitioning.utilities
-
Deprecated.Enum for tree skew factor.
B
- b - Variable in class org.apache.commons.math3.analysis.function.Logistic
-
Growth rate.
- b - Variable in class org.apache.commons.math3.distribution.TriangularDistribution
-
Upper limit of this distribution (inclusive).
- b - Variable in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
-
The right-hand side vector.
- b - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
Reference to the right-hand side vector.
- b - Variable in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
-
External weights for the high order method from Butcher array.
- b - Variable in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
External weights for the high order method from Butcher array.
- b - Variable in class org.apache.commons.math3.ode.nonstiff.RungeKuttaFieldIntegrator
-
External weights for the high order method from Butcher array.
- b - Variable in class org.apache.commons.math3.ode.nonstiff.RungeKuttaIntegrator
-
External weights for the high order method from Butcher array.
- B - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Coordinate system.
- B - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Coordinate system.
- B_01 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Propagation weights, element 1.
- B_06 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Propagation weights, element 6.
- B_07 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Propagation weights, element 7.
- B_08 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Propagation weights, element 8.
- B_09 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Propagation weights, element 9.
- B_10 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Propagation weights, element 10.
- B_11 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Propagation weights, element 11.
- B_12 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Propagation weights, element 12.
- background - Variable in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere
-
Background value.
- BALANCED - Enum constant in enum org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Skew
-
Deprecated.Code for Skew.BALANCED trees.
- ballOnSupport(List<Vector3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphereGenerator
-
Create a ball whose boundary lies on prescribed support points.
- ballOnSupport(List<Vector2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.DiskGenerator
-
Create a ball whose boundary lies on prescribed support points.
- ballOnSupport(List<P>) - Method in interface org.apache.commons.math3.geometry.enclosing.SupportBallGenerator
-
Create a ball whose boundary lies on prescribed support points.
- bandwidth - Variable in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
-
The bandwidth parameter: when computing the loess fit at a particular point, this fraction of source points closest to the current point is taken into account for computing a least-squares regression.
- BANDWIDTH - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- barycenter - Variable in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Barycenter.
- base - Variable in class org.apache.commons.math3.random.HaltonSequenceGenerator
-
The base numbers for each component.
- BASE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- BaseAbstractMultivariateOptimizer<FUNC> - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.As of 3.1 (to be removed in 4.0).
- BaseAbstractMultivariateOptimizer() - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.
- BaseAbstractMultivariateOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.
- BaseAbstractMultivariateSimpleBoundsOptimizer<FUNC> - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.As of 3.1 (to be removed in 4.0).
- BaseAbstractMultivariateSimpleBoundsOptimizer() - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateSimpleBoundsOptimizer
-
Deprecated.
- BaseAbstractMultivariateSimpleBoundsOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateSimpleBoundsOptimizer
-
Deprecated.
- BaseAbstractMultivariateVectorOptimizer<FUNC> - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.As of 3.1 (to be removed in 4.0).
- BaseAbstractMultivariateVectorOptimizer() - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.
- BaseAbstractMultivariateVectorOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.
- BaseAbstractUnivariateIntegrator - Class in org.apache.commons.math3.analysis.integration
-
Provide a default implementation for several generic functions.
- BaseAbstractUnivariateIntegrator(double, double) - Constructor for class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Construct an integrator with given accuracies.
- BaseAbstractUnivariateIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Construct an integrator with given accuracies and iteration counts.
- BaseAbstractUnivariateIntegrator(int, int) - Constructor for class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Construct an integrator with given iteration counts.
- BaseAbstractUnivariateOptimizer - Class in org.apache.commons.math3.optimization.univariate
-
Deprecated.As of 3.1 (to be removed in 4.0).
- BaseAbstractUnivariateOptimizer(ConvergenceChecker<UnivariatePointValuePair>) - Constructor for class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.
- BaseAbstractUnivariateSolver<FUNC> - Class in org.apache.commons.math3.analysis.solvers
-
Provide a default implementation for several functions useful to generic solvers.
- BaseAbstractUnivariateSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Construct a solver with given absolute accuracy.
- BaseAbstractUnivariateSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Construct a solver with given accuracies.
- BaseAbstractUnivariateSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Construct a solver with given accuracies.
- BaseMultiStartMultivariateOptimizer<PAIR> - Class in org.apache.commons.math3.optim
-
Base class multi-start optimizer for a multivariate function.
- BaseMultiStartMultivariateOptimizer(BaseMultivariateOptimizer<PAIR>, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
-
Create a multi-start optimizer from a single-start optimizer.
- BaseMultivariateMultiStartOptimizer<FUNC> - Class in org.apache.commons.math3.optimization
-
Deprecated.As of 3.1 (to be removed in 4.0).
- BaseMultivariateMultiStartOptimizer(BaseMultivariateOptimizer<FUNC>, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
-
Deprecated.Create a multi-start optimizer from a single-start optimizer.
- BaseMultivariateOptimizer<PAIR> - Class in org.apache.commons.math3.optim
-
Base class for implementing optimizers for multivariate functions.
- BaseMultivariateOptimizer<FUNC> - Interface in org.apache.commons.math3.optimization
-
Deprecated.As of 3.1 (to be removed in 4.0).
- BaseMultivariateOptimizer(ConvergenceChecker<PAIR>) - Constructor for class org.apache.commons.math3.optim.BaseMultivariateOptimizer
- BaseMultivariateSimpleBoundsOptimizer<FUNC> - Interface in org.apache.commons.math3.optimization
-
Deprecated.As of 3.1 (to be removed in 4.0).
- BaseMultivariateVectorMultiStartOptimizer<FUNC> - Class in org.apache.commons.math3.optimization
-
Deprecated.As of 3.1 (to be removed in 4.0).
- BaseMultivariateVectorMultiStartOptimizer(BaseMultivariateVectorOptimizer<FUNC>, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
-
Deprecated.Create a multi-start optimizer from a single-start optimizer.
- BaseMultivariateVectorOptimizer<FUNC> - Interface in org.apache.commons.math3.optimization
-
Deprecated.As of 3.1 (to be removed in 4.0).
- BaseOptimizer<PAIR> - Class in org.apache.commons.math3.optim
-
Base class for implementing optimizers.
- BaseOptimizer<PAIR> - Interface in org.apache.commons.math3.optimization
-
Deprecated.As of 3.1 (to be removed in 4.0).
- BaseOptimizer(ConvergenceChecker<PAIR>) - Constructor for class org.apache.commons.math3.optim.BaseOptimizer
- BaseOptimizer(ConvergenceChecker<PAIR>, int, int) - Constructor for class org.apache.commons.math3.optim.BaseOptimizer
- BaseOptimizer.MaxEvalCallback - Class in org.apache.commons.math3.optim
-
Defines the action to perform when reaching the maximum number of evaluations.
- BaseOptimizer.MaxIterCallback - Class in org.apache.commons.math3.optim
-
Defines the action to perform when reaching the maximum number of evaluations.
- BaseRuleFactory<T> - Class in org.apache.commons.math3.analysis.integration.gauss
-
Base class for rules that determines the integration nodes and their weights.
- BaseRuleFactory() - Constructor for class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
- BaseSecantSolver - Class in org.apache.commons.math3.analysis.solvers
-
Base class for all bracketing Secant-based methods for root-finding (approximating a zero of a univariate real function).
- BaseSecantSolver(double, double, double, BaseSecantSolver.Method) - Constructor for class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
-
Construct a solver.
- BaseSecantSolver(double, double, BaseSecantSolver.Method) - Constructor for class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
-
Construct a solver.
- BaseSecantSolver(double, BaseSecantSolver.Method) - Constructor for class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
-
Construct a solver.
- BaseSecantSolver.Method - Enum in org.apache.commons.math3.analysis.solvers
-
Secant-based root-finding methods.
- baseSeqPermutation - Variable in class org.apache.commons.math3.genetics.RandomKey
-
Base sequence [0,1,...,n-1], permuted according to the representation (unmodifiable).
- baseSequence(int) - Static method in class org.apache.commons.math3.genetics.RandomKey
-
Helper for constructor.
- BaseUnivariateOptimizer<FUNC> - Interface in org.apache.commons.math3.optimization.univariate
-
Deprecated.As of 3.1 (to be removed in 4.0).
- BaseUnivariateSolver<FUNC> - Interface in org.apache.commons.math3.analysis.solvers
-
Interface for (univariate real) rootfinding algorithms.
- basicGuess(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.fitting.GaussianCurveFitter.ParameterGuesser
-
Guesses the parameters based on the specified observed points.
- basicGuess(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
-
Deprecated.Guesses the parameters based on the specified observed points.
- basicGuess(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
-
Deprecated.Guesses the parameters based on the specified observed points.
- basicRows - Variable in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Maps rows to their corresponding basic variables.
- basicVariables - Variable in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Maps basic variables to row they are basic in.
- BD - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
B*D, stored for efficiency.
- BD - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.B*D, stored for efficiency.
- before - Variable in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonFieldIntegrator.Corrector
-
Current state before correction.
- before - Variable in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator.Corrector
-
Current state before correction.
- belongsToPart(Point<S>, Hyperplane<S>, Region<T>) - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryProjector
-
Check if a projected point lies on a boundary part.
- BELOW_SIDE - Enum constant in enum org.apache.commons.math3.analysis.solvers.AllowedSolution
-
Only solutions for which values are less than or equal to zero are acceptable as solutions for root-finding.
- bEqualsNullVector() - Method in class org.apache.commons.math3.linear.SymmLQ.State
-
Returns
true
if the right-hand side vector is zero exactly. - BESSEL_FUNCTION_BAD_ARGUMENT - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- BESSEL_FUNCTION_FAILED_CONVERGENCE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- BesselJ - Class in org.apache.commons.math3.special
-
This class provides computation methods related to Bessel functions of the first kind.
- BesselJ(double) - Constructor for class org.apache.commons.math3.special.BesselJ
-
Create a new BesselJ with the given order.
- BesselJ.BesselJResult - Class in org.apache.commons.math3.special
-
Encapsulates the results returned by
BesselJ.rjBesl(double, double, int)
. - BesselJResult(double[], int) - Constructor for class org.apache.commons.math3.special.BesselJ.BesselJResult
-
Create a new BesselJResult with the given values and valid value count.
- best(UnivariatePointValuePair, UnivariatePointValuePair, boolean) - Method in class org.apache.commons.math3.optim.univariate.BrentOptimizer
-
Selects the best of two points.
- best(UnivariatePointValuePair, UnivariatePointValuePair, boolean) - Method in class org.apache.commons.math3.optimization.univariate.BrentOptimizer
-
Deprecated.Selects the best of two points.
- beta - Variable in class org.apache.commons.math3.distribution.BetaDistribution
-
Second shape parameter.
- beta - Variable in class org.apache.commons.math3.distribution.GumbelDistribution
-
The scale parameter.
- beta - Variable in class org.apache.commons.math3.distribution.LaplaceDistribution
-
The scale parameter.
- beta - Variable in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer.InternalData
-
Coefficients of the Householder transforms vectors.
- beta - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The value of beta[k+1].
- beta - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Deprecated.Coefficients of the Householder transforms vectors.
- beta - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.Coefficients of the Householder transforms vectors.
- beta - Variable in class org.apache.commons.math3.random.StableRandomGenerator
-
skewness parameter
- Beta - Class in org.apache.commons.math3.special
-
This is a utility class that provides computation methods related to the Beta family of functions.
- Beta() - Constructor for class org.apache.commons.math3.special.Beta
-
Default constructor.
- beta1 - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The value of beta[1].
- BetaDistribution - Class in org.apache.commons.math3.distribution
-
Implements the Beta distribution.
- BetaDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.BetaDistribution
-
Build a new instance.
- BetaDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.BetaDistribution
-
Build a new instance.
- BetaDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.BetaDistribution
-
Creates a β distribution.
- BetaDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.BetaDistribution
-
Creates a β distribution.
- BetaDistribution.ChengBetaSampler - Class in org.apache.commons.math3.distribution
-
Utility class implementing Cheng's algorithms for beta distribution sampling.
- betaEqualsZero() - Method in class org.apache.commons.math3.linear.SymmLQ.State
-
Returns
true
ifbeta
is essentially zero. - biasCorrected - Variable in class org.apache.commons.math3.stat.correlation.StorelessBivariateCovariance
-
flag for bias correction
- biasCorrected - Variable in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Determines whether or not bias correction is applied when computing the value of the statisic.
- BicubicFunction - Class in org.apache.commons.math3.analysis.interpolation
-
Bicubic function.
- BicubicFunction(double[]) - Constructor for class org.apache.commons.math3.analysis.interpolation.BicubicFunction
-
Simple constructor.
- BicubicInterpolatingFunction - Class in org.apache.commons.math3.analysis.interpolation
-
Function that implements the bicubic spline interpolation.
- BicubicInterpolatingFunction(double[], double[], double[][], double[][], double[][], double[][]) - Constructor for class org.apache.commons.math3.analysis.interpolation.BicubicInterpolatingFunction
- BicubicInterpolator - Class in org.apache.commons.math3.analysis.interpolation
-
Generates a
bicubic interpolating function
. - BicubicInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.BicubicInterpolator
- BicubicSplineFunction - Class in org.apache.commons.math3.analysis.interpolation
-
2D-spline function.
- BicubicSplineFunction(double[]) - Constructor for class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
-
Simple constructor.
- BicubicSplineFunction(double[], boolean) - Constructor for class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
-
Simple constructor.
- BicubicSplineInterpolatingFunction - Class in org.apache.commons.math3.analysis.interpolation
-
Deprecated.as of 3.4 replaced by
PiecewiseBicubicSplineInterpolatingFunction
- BicubicSplineInterpolatingFunction(double[], double[], double[][], double[][], double[][], double[][]) - Constructor for class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
-
Deprecated.
- BicubicSplineInterpolatingFunction(double[], double[], double[][], double[][], double[][], double[][], boolean) - Constructor for class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
-
Deprecated.
- BicubicSplineInterpolator - Class in org.apache.commons.math3.analysis.interpolation
-
Deprecated.as of 3.4 replaced by
PiecewiseBicubicSplineInterpolator
- BicubicSplineInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolator
-
Deprecated.Default constructor.
- BicubicSplineInterpolator(boolean) - Constructor for class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolator
-
Deprecated.Creates an interpolator.
- BiDiagonalTransformer - Class in org.apache.commons.math3.linear
-
Class transforming any matrix to bi-diagonal shape.
- BiDiagonalTransformer(RealMatrix) - Constructor for class org.apache.commons.math3.linear.BiDiagonalTransformer
-
Build the transformation to bi-diagonal shape of a matrix.
- bigDecimalValue() - Method in class org.apache.commons.math3.fraction.BigFraction
-
Gets the fraction as a
BigDecimal
. - bigDecimalValue() - Method in class org.apache.commons.math3.util.BigReal
-
Get the BigDecimal value corresponding to the instance.
- bigDecimalValue(int) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Gets the fraction as a
BigDecimal
following the passed rounding mode. - bigDecimalValue(int, int) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Gets the fraction as a
BigDecimal
following the passed scale and rounding mode. - BigFraction - Class in org.apache.commons.math3.fraction
-
Representation of a rational number without any overflow.
- BigFraction(double) - Constructor for class org.apache.commons.math3.fraction.BigFraction
-
Create a fraction given the double value.
- BigFraction(double, double, int) - Constructor for class org.apache.commons.math3.fraction.BigFraction
-
Create a fraction given the double value and maximum error allowed.
- BigFraction(double, double, int, int) - Constructor for class org.apache.commons.math3.fraction.BigFraction
-
Create a fraction given the double value and either the maximum error allowed or the maximum number of denominator digits.
- BigFraction(double, int) - Constructor for class org.apache.commons.math3.fraction.BigFraction
-
Create a fraction given the double value and maximum denominator.
- BigFraction(int) - Constructor for class org.apache.commons.math3.fraction.BigFraction
-
Create a
BigFraction
equivalent to the passedint
, ie "num / 1". - BigFraction(int, int) - Constructor for class org.apache.commons.math3.fraction.BigFraction
-
Create a
BigFraction
given the numerator and denominator as simpleint
. - BigFraction(long) - Constructor for class org.apache.commons.math3.fraction.BigFraction
-
Create a
BigFraction
equivalent to the passed long, ie "num / 1". - BigFraction(long, long) - Constructor for class org.apache.commons.math3.fraction.BigFraction
-
Create a
BigFraction
given the numerator and denominator as simplelong
. - BigFraction(BigInteger) - Constructor for class org.apache.commons.math3.fraction.BigFraction
-
Create a
BigFraction
equivalent to the passedBigInteger
, ie "num / 1". - BigFraction(BigInteger, BigInteger) - Constructor for class org.apache.commons.math3.fraction.BigFraction
-
Create a
BigFraction
given the numerator and denominator asBigInteger
. - BigFractionField - Class in org.apache.commons.math3.fraction
-
Representation of the fractional numbers without any overflow field.
- BigFractionField() - Constructor for class org.apache.commons.math3.fraction.BigFractionField
-
Private constructor for the singleton.
- BigFractionField.LazyHolder - Class in org.apache.commons.math3.fraction
-
Holder for the instance.
- BigFractionFormat - Class in org.apache.commons.math3.fraction
-
Formats a BigFraction number in proper format or improper format.
- BigFractionFormat() - Constructor for class org.apache.commons.math3.fraction.BigFractionFormat
-
Create an improper formatting instance with the default number format for the numerator and denominator.
- BigFractionFormat(NumberFormat) - Constructor for class org.apache.commons.math3.fraction.BigFractionFormat
-
Create an improper formatting instance with a custom number format for both the numerator and denominator.
- BigFractionFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.fraction.BigFractionFormat
-
Create an improper formatting instance with a custom number format for the numerator and a custom number format for the denominator.
- BigFractionMatrixConverter() - Constructor for class org.apache.commons.math3.linear.MatrixUtils.BigFractionMatrixConverter
-
Simple constructor.
- bigFractionMatrixToRealMatrix(FieldMatrix<BigFraction>) - Static method in class org.apache.commons.math3.linear.MatrixUtils
- BigReal - Class in org.apache.commons.math3.util
-
Arbitrary precision decimal number.
- BigReal(char[]) - Constructor for class org.apache.commons.math3.util.BigReal
-
Build an instance from a characters representation.
- BigReal(char[], int, int) - Constructor for class org.apache.commons.math3.util.BigReal
-
Build an instance from a characters representation.
- BigReal(char[], int, int, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
-
Build an instance from a characters representation.
- BigReal(char[], MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
-
Build an instance from a characters representation.
- BigReal(double) - Constructor for class org.apache.commons.math3.util.BigReal
-
Build an instance from a double.
- BigReal(double, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
-
Build an instance from a double.
- BigReal(int) - Constructor for class org.apache.commons.math3.util.BigReal
-
Build an instance from an int.
- BigReal(int, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
-
Build an instance from an int.
- BigReal(long) - Constructor for class org.apache.commons.math3.util.BigReal
-
Build an instance from a long.
- BigReal(long, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
-
Build an instance from a long.
- BigReal(String) - Constructor for class org.apache.commons.math3.util.BigReal
-
Build an instance from a String representation.
- BigReal(String, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
-
Build an instance from a String representation.
- BigReal(BigDecimal) - Constructor for class org.apache.commons.math3.util.BigReal
-
Build an instance from a BigDecimal.
- BigReal(BigInteger) - Constructor for class org.apache.commons.math3.util.BigReal
-
Build an instance from a BigInteger.
- BigReal(BigInteger, int) - Constructor for class org.apache.commons.math3.util.BigReal
-
Build an instance from an unscaled BigInteger.
- BigReal(BigInteger, int, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
-
Build an instance from an unscaled BigInteger.
- BigReal(BigInteger, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
-
Build an instance from a BigInteger.
- BigRealField - Class in org.apache.commons.math3.util
-
Representation of real numbers with arbitrary precision field.
- BigRealField() - Constructor for class org.apache.commons.math3.util.BigRealField
-
Private constructor for the singleton.
- BigRealField.LazyHolder - Class in org.apache.commons.math3.util
-
Holder for the instance.
- BinaryChromosome - Class in org.apache.commons.math3.genetics
-
Chromosome represented by a vector of 0s and 1s.
- BinaryChromosome(Integer[]) - Constructor for class org.apache.commons.math3.genetics.BinaryChromosome
-
Constructor.
- BinaryChromosome(List<Integer>) - Constructor for class org.apache.commons.math3.genetics.BinaryChromosome
-
Constructor.
- BinaryMutation - Class in org.apache.commons.math3.genetics
-
Mutation for
BinaryChromosome
s. - BinaryMutation() - Constructor for class org.apache.commons.math3.genetics.BinaryMutation
- binCount - Variable in class org.apache.commons.math3.random.EmpiricalDistribution
-
number of bins
- bindWith(Line) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Vertex
-
Bind a line considered to contain this vertex.
- bindWith(Circle) - Method in class org.apache.commons.math3.geometry.spherical.twod.Vertex
-
Bind a circle considered to contain this vertex.
- BINOMIAL_INVALID_PARAMETERS_ORDER - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- BINOMIAL_NEGATIVE_PARAMETER - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- binomialCoefficient(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Deprecated.
- binomialCoefficient(int, int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
-
Returns an exact representation of the Binomial Coefficient, "
n choose k
", the number ofk
-element subsets that can be selected from ann
-element set. - binomialCoefficientDouble(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Deprecated.
- binomialCoefficientDouble(int, int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
-
Returns a
double
representation of the Binomial Coefficient, "n choose k
", the number ofk
-element subsets that can be selected from ann
-element set. - binomialCoefficientLog(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Deprecated.
- binomialCoefficientLog(int, int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
-
Returns the natural
log
of the Binomial Coefficient, "n choose k
", the number ofk
-element subsets that can be selected from ann
-element set. - BinomialConfidenceInterval - Interface in org.apache.commons.math3.stat.interval
-
Interface to generate confidence intervals for a binomial proportion.
- BinomialDistribution - Class in org.apache.commons.math3.distribution
-
Implementation of the binomial distribution.
- BinomialDistribution(int, double) - Constructor for class org.apache.commons.math3.distribution.BinomialDistribution
-
Create a binomial distribution with the given number of trials and probability of success.
- BinomialDistribution(RandomGenerator, int, double) - Constructor for class org.apache.commons.math3.distribution.BinomialDistribution
-
Creates a binomial distribution.
- binomialTest(int, int, double, AlternativeHypothesis) - Method in class org.apache.commons.math3.stat.inference.BinomialTest
-
Returns the observed significance level, or p-value, associated with a Binomial test.
- binomialTest(int, int, double, AlternativeHypothesis, double) - Method in class org.apache.commons.math3.stat.inference.BinomialTest
-
Returns whether the null hypothesis can be rejected with the given confidence level.
- BinomialTest - Class in org.apache.commons.math3.stat.inference
-
Implements binomial test statistics.
- BinomialTest() - Constructor for class org.apache.commons.math3.stat.inference.BinomialTest
- binStats - Variable in class org.apache.commons.math3.random.EmpiricalDistribution
-
List of SummaryStatistics objects characterizing the bins
- BisectionSolver - Class in org.apache.commons.math3.analysis.solvers
-
Implements the bisection algorithm for finding zeros of univariate real functions.
- BisectionSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.BisectionSolver
-
Construct a solver with default accuracy (1e-6).
- BisectionSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.BisectionSolver
-
Construct a solver.
- BisectionSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.BisectionSolver
-
Construct a solver.
- bIsNull - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The value of
b == 0
(exact floating-point equality). - bitReversalShuffle2(double[], double[]) - Static method in class org.apache.commons.math3.transform.FastFourierTransformer
-
Performs identical index bit reversal shuffles on two arrays of identical size.
- BITS - Static variable in class org.apache.commons.math3.random.SobolSequenceGenerator
-
The number of bits to use.
- BitsStreamGenerator - Class in org.apache.commons.math3.random
-
Base class for random number generators that generates bits streams.
- BitsStreamGenerator() - Constructor for class org.apache.commons.math3.random.BitsStreamGenerator
-
Creates a new random number generator.
- BivariateFunction - Interface in org.apache.commons.math3.analysis
-
An interface representing a bivariate real function.
- BivariateGridInterpolator - Interface in org.apache.commons.math3.analysis.interpolation
-
Interface representing a bivariate real interpolating function where the sample points must be specified on a regular grid.
- BLAND - Enum constant in enum org.apache.commons.math3.optim.linear.PivotSelectionRule
-
The first variable with a negative coefficient in the objective function row will be chosen as entering variable.
- BLOCK_SIZE - Static variable in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Block size.
- BLOCK_SIZE - Static variable in class org.apache.commons.math3.linear.BlockRealMatrix
-
Block size.
- blockColumns - Variable in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Number of block columns of the matrix.
- blockColumns - Variable in class org.apache.commons.math3.linear.BlockRealMatrix
-
Number of block columns of the matrix.
- BlockFieldMatrix<T> - Class in org.apache.commons.math3.linear
-
Cache-friendly implementation of FieldMatrix using a flat arrays to store square blocks of the matrix.
- BlockFieldMatrix(int, int, T[][], boolean) - Constructor for class org.apache.commons.math3.linear.BlockFieldMatrix
-
Create a new dense matrix copying entries from block layout data.
- BlockFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.BlockFieldMatrix
-
Create a new matrix with the supplied row and column dimensions.
- BlockFieldMatrix(T[][]) - Constructor for class org.apache.commons.math3.linear.BlockFieldMatrix
-
Create a new dense matrix copying entries from raw layout data.
- blockHeight(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Get the height of a block.
- blockHeight(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Get the height of a block.
- blockInverse(RealMatrix, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Computes the inverse of the given matrix by splitting it into 4 sub-matrices.
- BlockRealMatrix - Class in org.apache.commons.math3.linear
-
Cache-friendly implementation of RealMatrix using a flat arrays to store square blocks of the matrix.
- BlockRealMatrix(double[][]) - Constructor for class org.apache.commons.math3.linear.BlockRealMatrix
-
Create a new dense matrix copying entries from raw layout data.
- BlockRealMatrix(int, int) - Constructor for class org.apache.commons.math3.linear.BlockRealMatrix
-
Create a new matrix with the supplied row and column dimensions.
- BlockRealMatrix(int, int, double[][], boolean) - Constructor for class org.apache.commons.math3.linear.BlockRealMatrix
-
Create a new dense matrix copying entries from block layout data.
- blockRows - Variable in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Number of block rows of the matrix.
- blockRows - Variable in class org.apache.commons.math3.linear.BlockRealMatrix
-
Number of block rows of the matrix.
- blocks - Variable in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Blocks of matrix entries.
- blocks - Variable in class org.apache.commons.math3.linear.BlockRealMatrix
-
Blocks of matrix entries.
- blockWidth(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Get the width of a block.
- blockWidth(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Get the width of a block.
- bMatrix - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Last n columns of matrix H (where n is the dimension of the problem).
- bMatrix - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Last n columns of matrix H (where n is the dimension of the problem).
- bobyqa(double[], double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
This subroutine seeks the least value of a function of many variables, by applying a trust region method that forms quadratic models by interpolation.
- bobyqa(double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.This subroutine seeks the least value of a function of many variables, by applying a trust region method that forms quadratic models by interpolation.
- BOBYQA_BOUND_DIFFERENCE_CONDITION - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- BOBYQAOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
-
Powell's BOBYQA algorithm.
- BOBYQAOptimizer - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.As of 3.1 (to be removed in 4.0).
- BOBYQAOptimizer(int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
- BOBYQAOptimizer(int) - Constructor for class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.
- BOBYQAOptimizer(int, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
- BOBYQAOptimizer(int, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.
- BOBYQAOptimizer.PathIsExploredException - Exception Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
-
Marker for code paths that are not explored with the current unit tests.
- BOBYQAOptimizer.PathIsExploredException - Exception Class in org.apache.commons.math3.optimization.direct
-
Deprecated.Marker for code paths that are not explored with the current unit tests.
- bobyqb(double[], double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
The arguments N, NPT, X, XL, XU, RHOBEG, RHOEND, IPRINT and MAXFUN are identical to the corresponding arguments in SUBROUTINE BOBYQA.
- bobyqb(double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.The arguments N, NPT, X, XL, XU, RHOBEG, RHOEND, IPRINT and MAXFUN are identical to the corresponding arguments in SUBROUTINE BOBYQA.
- bootstrap(double[], double[], int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Computes
bootstrap(x, y, iterations, true)
. - bootstrap(double[], double[], int, boolean) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Estimates the p-value of a two-sample Kolmogorov-Smirnov test evaluating the null hypothesis that
x
andy
are samples drawn from the same probability distribution. - BOTH - Enum constant in enum org.apache.commons.math3.geometry.partitioning.Side
-
Code for elements crossing the hyperplane from plus to minus side.
- BOTH - Enum constant in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds
-
Include both the first and last points.
- bottomDiagonal - Variable in class org.apache.commons.math3.analysis.interpolation.FieldHermiteInterpolator
-
Bottom diagonal of the divided differences array.
- bottomDiagonal - Variable in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
-
Bottom diagonal of the divided differences array.
- BOUNDARY - Enum constant in enum org.apache.commons.math3.geometry.partitioning.Region.Location
-
Code for points on the partition boundary.
- BoundaryAttribute<S> - Class in org.apache.commons.math3.geometry.partitioning
-
Class holding boundary attributes.
- BoundaryAttribute(SubHyperplane<S>, SubHyperplane<S>) - Constructor for class org.apache.commons.math3.geometry.partitioning.BoundaryAttribute
-
Deprecated.as of 3.4, the constructor has been replaced by a new one which is not public anymore, as it is intended to be used only by
BoundaryBuilder
- BoundaryAttribute(SubHyperplane<S>, SubHyperplane<S>, NodesSet<S>) - Constructor for class org.apache.commons.math3.geometry.partitioning.BoundaryAttribute
-
Simple constructor.
- BoundaryBuilder<S> - Class in org.apache.commons.math3.geometry.partitioning
-
Visitor building boundary shell tree.
- BoundaryBuilder() - Constructor for class org.apache.commons.math3.geometry.partitioning.BoundaryBuilder
- boundaryFacet(Vector3D, BSPTree<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
-
Check if a point belongs to the boundary part of a node.
- BoundaryProjection<S> - Class in org.apache.commons.math3.geometry.partitioning
-
Class holding the result of point projection on region boundary.
- BoundaryProjection(Point<S>, Point<S>, double) - Constructor for class org.apache.commons.math3.geometry.partitioning.BoundaryProjection
-
Constructor from raw elements.
- BoundaryProjector<S,
T> - Class in org.apache.commons.math3.geometry.partitioning -
Local tree visitor to compute projection on boundary.
- BoundaryProjector(double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor.BoundaryProjector
-
Simple constructor.
- BoundaryProjector(Point<S>) - Constructor for class org.apache.commons.math3.geometry.partitioning.BoundaryProjector
-
Simple constructor.
- boundaryRegions(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryProjector
-
Extract the regions of the boundary on an internal node.
- boundarySize - Variable in class org.apache.commons.math3.geometry.partitioning.BoundarySizeVisitor
-
Size of the boundary.
- BoundarySizeVisitor<S> - Class in org.apache.commons.math3.geometry.partitioning
-
Visitor computing the boundary size.
- BoundarySizeVisitor() - Constructor for class org.apache.commons.math3.geometry.partitioning.BoundarySizeVisitor
-
Simple constructor.
- boundDifference - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Differences between the upper and lower bounds.
- boundDifference - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Differences between the upper and lower bounds.
- bounded - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter
-
Underlying bounded function.
- bounded - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionPenaltyAdapter
-
Underlying bounded function.
- bounded - Variable in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter
-
Deprecated.Underlying bounded function.
- bounded - Variable in class org.apache.commons.math3.optimization.direct.MultivariateFunctionPenaltyAdapter
-
Deprecated.Underlying bounded function.
- boundedToUnbounded(double) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.LowerBoundMapper
-
Maps a value from bounded to unbounded.
- boundedToUnbounded(double) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.LowerUpperBoundMapper
-
Maps a value from bounded to unbounded.
- boundedToUnbounded(double) - Method in interface org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.Mapper
-
Maps a value from bounded to unbounded.
- boundedToUnbounded(double) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.NoBoundsMapper
-
Maps a value from bounded to unbounded.
- boundedToUnbounded(double) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.UpperBoundMapper
-
Maps a value from bounded to unbounded.
- boundedToUnbounded(double) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.LowerBoundMapper
-
Deprecated.Map a value from bounded to unbounded.
- boundedToUnbounded(double) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.LowerUpperBoundMapper
-
Deprecated.Map a value from bounded to unbounded.
- boundedToUnbounded(double) - Method in interface org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.Mapper
-
Deprecated.Map a value from bounded to unbounded.
- boundedToUnbounded(double) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.NoBoundsMapper
-
Deprecated.Map a value from bounded to unbounded.
- boundedToUnbounded(double) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.UpperBoundMapper
-
Deprecated.Map a value from bounded to unbounded.
- boundedToUnbounded(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter
-
Maps an array from bounded to unbounded.
- boundedToUnbounded(double[]) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter
-
Deprecated.Map an array from bounded to unbounded.
- boundedTrialDivision(int, int, List<Integer>) - Static method in class org.apache.commons.math3.primes.SmallPrimes
-
Extract factors in the range
PRIME_LAST+2
tomaxFactors
. - boundingFunction - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.LowerUpperBoundMapper
-
Function from unbounded to bounded.
- boundingFunction - Variable in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.LowerUpperBoundMapper
-
Deprecated.Function from unbounded to bounded.
- boundIsAllowed - Variable in exception class org.apache.commons.math3.exception.NumberIsTooLargeException
-
Whether the maximum is included in the allowed range.
- boundIsAllowed - Variable in exception class org.apache.commons.math3.exception.NumberIsTooSmallException
-
Whether the maximum is included in the allowed range.
- bounds - Variable in class org.apache.commons.math3.ode.sampling.FieldStepNormalizer
-
The step normalizer bounds settings to use.
- bounds - Variable in class org.apache.commons.math3.ode.sampling.StepNormalizer
-
The step normalizer bounds settings to use.
- boxBoundary(double, double, double, double, double) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
-
Create a list of hyperplanes representing the boundary of a box.
- bracket - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.LineSearch
-
Automatic bracketing.
- bracket - Variable in class org.apache.commons.math3.optimization.direct.PowellOptimizer.LineSearch
-
Deprecated.Automatic bracketing.
- bracket(UnivariateFunction, double, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
-
This method simply calls
bracket(function, initial, lowerBound, upperBound, q, r, maximumIterations)
withq
andr
set to 1.0 andmaximumIterations
set toInteger.MAX_VALUE
. - bracket(UnivariateFunction, double, double, double, double, double, int) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
-
This method attempts to find two values a and b satisfying
lowerBound <= a < initial < b <= upperBound
f(a) * f(b) <= 0
Iff
is continuous on[a,b]
, this means thata
andb
bracket a root off
. - bracket(UnivariateFunction, double, double, double, int) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
-
This method simply calls
bracket(function, initial, lowerBound, upperBound, q, r, maximumIterations)
withq
andr
set to 1.0. - BracketedRealFieldUnivariateSolver<T> - Interface in org.apache.commons.math3.analysis.solvers
-
Interface for
(univariate real) root-finding algorithms
that maintain a bracketed solution. - BracketedUnivariateSolver<FUNC> - Interface in org.apache.commons.math3.analysis.solvers
-
Interface for
(univariate real) root-finding algorithms
that maintain a bracketed solution. - BracketFinder - Class in org.apache.commons.math3.optim.univariate
-
Provide an interval that brackets a local optimum of a function.
- BracketFinder - Class in org.apache.commons.math3.optimization.univariate
-
Deprecated.As of 3.1 (to be removed in 4.0).
- BracketFinder() - Constructor for class org.apache.commons.math3.optim.univariate.BracketFinder
-
Constructor with default values
100, 500
(see theother constructor
). - BracketFinder() - Constructor for class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.Constructor with default values
100, 50
(see theother constructor
). - BracketFinder(double, int) - Constructor for class org.apache.commons.math3.optim.univariate.BracketFinder
-
Create a bracketing interval finder.
- BracketFinder(double, int) - Constructor for class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.Create a bracketing interval finder.
- BracketingNthOrderBrentSolver - Class in org.apache.commons.math3.analysis.solvers
-
This class implements a modification of the Brent algorithm.
- BracketingNthOrderBrentSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
-
Construct a solver with default accuracy and maximal order (1e-6 and 5 respectively)
- BracketingNthOrderBrentSolver(double, double, double, int) - Constructor for class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
-
Construct a solver.
- BracketingNthOrderBrentSolver(double, double, int) - Constructor for class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
-
Construct a solver.
- BracketingNthOrderBrentSolver(double, int) - Constructor for class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
-
Construct a solver.
- BracketingNthOrderBrentSolverDFP - Class in org.apache.commons.math3.dfp
-
Deprecated.as of 3.6 replaced with
FieldBracketingNthOrderBrentSolver
- BracketingNthOrderBrentSolverDFP(Dfp, Dfp, Dfp, int) - Constructor for class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
-
Deprecated.Construct a solver.
- BracketingStep(double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.BracketingStep
-
Deprecated.
- brent(double, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BrentSolver
-
Search for a zero inside the provided interval.
- BrentOptimizer - Class in org.apache.commons.math3.optim.univariate
-
For a function defined on some interval
(lo, hi)
, this class finds an approximationx
to the point at which the function attains its minimum. - BrentOptimizer - Class in org.apache.commons.math3.optimization.univariate
-
Deprecated.As of 3.1 (to be removed in 4.0).
- BrentOptimizer(double, double) - Constructor for class org.apache.commons.math3.optim.univariate.BrentOptimizer
-
The arguments are used for implementing the original stopping criterion of Brent's algorithm.
- BrentOptimizer(double, double) - Constructor for class org.apache.commons.math3.optimization.univariate.BrentOptimizer
-
Deprecated.The arguments are used for implementing the original stopping criterion of Brent's algorithm.
- BrentOptimizer(double, double, ConvergenceChecker<UnivariatePointValuePair>) - Constructor for class org.apache.commons.math3.optim.univariate.BrentOptimizer
-
The arguments are used implement the original stopping criterion of Brent's algorithm.
- BrentOptimizer(double, double, ConvergenceChecker<UnivariatePointValuePair>) - Constructor for class org.apache.commons.math3.optimization.univariate.BrentOptimizer
-
Deprecated.The arguments are used implement the original stopping criterion of Brent's algorithm.
- BrentSolver - Class in org.apache.commons.math3.analysis.solvers
-
This class implements the Brent algorithm for finding zeros of real univariate functions.
- BrentSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.BrentSolver
-
Construct a solver with default absolute accuracy (1e-6).
- BrentSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.BrentSolver
-
Construct a solver.
- BrentSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.BrentSolver
-
Construct a solver.
- BrentSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.BrentSolver
-
Construct a solver.
- brightestIllumination - Variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction.MicrosphereSurfaceElement
-
Deprecated.Illumination received from the brightest sample.
- brightestSample - Variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction.MicrosphereSurfaceElement
-
Deprecated.Brightest sample.
- brightnessExponent - Variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction
-
Deprecated.Exponent used in the power law that computes the weights of the sample data.
- brightnessExponent - Variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
-
Deprecated.Exponent used in the power law that computes the weights of the sample data.
- BSPTree<S> - Class in org.apache.commons.math3.geometry.partitioning
-
This class represent a Binary Space Partition tree.
- BSPTree() - Constructor for class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Build a tree having only one root cell representing the whole space.
- BSPTree(Object) - Constructor for class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Build a tree having only one root cell representing the whole space.
- BSPTree(SubHyperplane<S>, BSPTree<S>, BSPTree<S>, Object) - Constructor for class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Build a BSPTree from its underlying elements.
- BSPTree.LeafMerger<S> - Interface in org.apache.commons.math3.geometry.partitioning
-
This interface gather the merging operations between a BSP tree leaf and another BSP tree.
- BSPTree.VanishingCutHandler<S> - Interface in org.apache.commons.math3.geometry.partitioning
-
This interface handles the corner cases when an internal node cut sub-hyperplane vanishes.
- BSPTreeVisitor<S> - Interface in org.apache.commons.math3.geometry.partitioning
-
This interface is used to visit
BSP tree
nodes. - BSPTreeVisitor.Order - Enum in org.apache.commons.math3.geometry.partitioning
-
Enumerate for visit order with respect to plus sub-tree, minus sub-tree and cut sub-hyperplane.
- bstep - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The value of bstep[k-1].
- build() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
-
Construct a
LeastSquaresProblem
from the data in this builder. - build(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
Build an initial simplex.
- build(double[]) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.Build an initial simplex.
- buildArray(int) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Build an array of elements.
- buildArray(Field<T>, int) - Static method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Deprecated.as of 3.2, replaced by
MathArrays.buildArray(Field, int)
- buildArray(Field<T>, int) - Static method in class org.apache.commons.math3.util.MathArrays
-
Build an array of elements.
- buildArray(Field<T>, int, int) - Static method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Deprecated.as of 3.2, replaced by
MathArrays.buildArray(Field, int, int)
- buildArray(Field<T>, int, int) - Static method in class org.apache.commons.math3.util.MathArrays
-
Build a double dimension array of elements.
- buildArray(T, T, T) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Create a dimension 3 array.
- buildBoundary(double, double, double, double, double, double, double) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
-
Build a parallellepipedic box boundary.
- buildBoundary(List<Vector3D>, List<int[]>, double) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
-
Build boundary from vertices and facets.
- buildConvex(Hyperplane<S>...) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
-
Build a convex region from a collection of bounding hyperplanes.
- buildIntervalSet(Vector3D, Vector3D, double) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.SubLine
-
Build an interval set from two points.
- buildIntervalSet(Vector2D, Vector2D, double) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.SubLine
-
Build an interval set from two points.
- buildMessage(Locale, String) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
-
Builds a message string.
- buildNew(BSPTree<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Build a region using the instance as a prototype.
- buildNew(BSPTree<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
-
Build a region using the instance as a prototype.
- buildNew(BSPTree<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
-
Build a region using the instance as a prototype.
- buildNew(BSPTree<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
-
Build a region using the instance as a prototype.
- buildNew(BSPTree<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
-
Build a region using the instance as a prototype.
- buildNew(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Build a region using the instance as a prototype.
- buildNew(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
-
Build a region using the instance as a prototype.
- buildNew(Hyperplane<Euclidean1D>, Region<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint
-
Build a sub-hyperplane from an hyperplane and a region.
- buildNew(Hyperplane<Euclidean3D>, Region<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SubPlane
-
Build a sub-hyperplane from an hyperplane and a region.
- buildNew(Hyperplane<Euclidean2D>, Region<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.SubLine
-
Build a sub-hyperplane from an hyperplane and a region.
- buildNew(Hyperplane<Sphere1D>, Region<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.SubLimitAngle
-
Build a sub-hyperplane from an hyperplane and a region.
- buildNew(Hyperplane<Sphere2D>, Region<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.SubCircle
-
Build a sub-hyperplane from an hyperplane and a region.
- buildNew(Hyperplane<S>, Region<T>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
-
Build a sub-hyperplane from an hyperplane and a region.
- buildP(int) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckFieldTransformer
-
Build the P matrix.
- buildP(int) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
-
Build the P matrix.
- buildPolynomial(int, List<BigFraction>, PolynomialsUtils.RecurrenceCoefficientsGenerator) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
-
Get the coefficients array for a given degree.
- buildQuadrilateral(Vector2D...) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.hull.AklToussaintHeuristic
-
Build the convex quadrilateral with the found corner points (with min/max x/y coordinates).
- buildSinCosTables(double[], double[], double[], double[], int, double[], double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
-
Build the sine and cosine tables.
- buildTree(double, double, double) - Static method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Build an inside/outside tree representing a single interval.
- buildTree(double, double, double) - Static method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
-
Build an inside/outside tree representing a single arc.
- byteValue() - Method in class org.apache.commons.math3.util.Decimal64
-
The current implementation performs casting to a
byte
.
C
- c - Variable in class org.apache.commons.math3.analysis.function.Constant
-
Constant.
- c - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
-
Centers of the Newton polynomial.
- c - Variable in class org.apache.commons.math3.distribution.LevyDistribution
-
Scale parameter.
- c - Variable in class org.apache.commons.math3.distribution.TriangularDistribution
-
Mode of this distribution.
- c - Variable in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
-
Time steps from Butcher array (without the first zero).
- c - Variable in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Time steps from Butcher array (without the first zero).
- c - Variable in class org.apache.commons.math3.ode.nonstiff.RungeKuttaFieldIntegrator
-
Time steps from Butcher array (without the first zero).
- c - Variable in class org.apache.commons.math3.ode.nonstiff.RungeKuttaIntegrator
-
Time steps from Butcher array (without the first zero).
- c - Variable in class org.apache.commons.math3.util.Combinations.LexicographicIterator
-
c[1], ..., c[k] stores the next combination; c[k + 1], c[k + 2] are sentinels.
- c(int, int, int, int, long, boolean) - Static method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
The function C(i, j) defined in [4] (class javadoc), formula (5.5).
- C - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Covariance matrix.
- C - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Covariance matrix.
- C_LIMIT - Static variable in class org.apache.commons.math3.special.Gamma
-
C limit.
- c1 - Variable in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckFieldTransformer
-
Update coefficients of the higher order derivatives wrt y'.
- c1 - Variable in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
-
Update coefficients of the higher order derivatives wrt y'.
- c11 - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
-
cXX * cYY - cYX * cXY.
- C14 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Time step for stage 14 (interpolation only).
- C15 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Time step for stage 15 (interpolation only).
- C16 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Time step for stage 16 (interpolation only).
- c1X - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
-
cXX * cY1 - cYX * cX1.
- c1Y - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
-
cXY * cY1 - cYY * cX1.
- c5a - Variable in class org.apache.commons.math3.ode.nonstiff.LutherFieldStepInterpolator
-
-49 - 49 q.
- c5b - Variable in class org.apache.commons.math3.ode.nonstiff.LutherFieldStepInterpolator
-
392 + 287 q.
- c5c - Variable in class org.apache.commons.math3.ode.nonstiff.LutherFieldStepInterpolator
-
-637 - 357 q.
- c5d - Variable in class org.apache.commons.math3.ode.nonstiff.LutherFieldStepInterpolator
-
833 + 343 q.
- c6a - Variable in class org.apache.commons.math3.ode.nonstiff.LutherFieldStepInterpolator
-
-49 + 49 q.
- c6b - Variable in class org.apache.commons.math3.ode.nonstiff.LutherFieldStepInterpolator
-
-392 - 287 q.
- c6c - Variable in class org.apache.commons.math3.ode.nonstiff.LutherFieldStepInterpolator
-
-637 + 357 q.
- c6d - Variable in class org.apache.commons.math3.ode.nonstiff.LutherFieldStepInterpolator
-
833 - 343 q.
- CACHE - Static variable in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckFieldTransformer
-
Cache for already computed coefficients.
- CACHE - Static variable in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
-
Cache for already computed coefficients.
- cachedB - Variable in class org.apache.commons.math3.linear.BiDiagonalTransformer
-
Cached value of B.
- cachedD - Variable in class org.apache.commons.math3.linear.EigenDecomposition
-
Cached value of D.
- cachedH - Variable in class org.apache.commons.math3.linear.HessenbergTransformer
-
Cached value of H.
- cachedH - Variable in class org.apache.commons.math3.linear.QRDecomposition
-
Cached value of H.
- cachedL - Variable in class org.apache.commons.math3.linear.CholeskyDecomposition
-
Cached value of L.
- cachedL - Variable in class org.apache.commons.math3.linear.FieldLUDecomposition
-
Cached value of L.
- cachedL - Variable in class org.apache.commons.math3.linear.LUDecomposition
-
Cached value of L.
- cachedLT - Variable in class org.apache.commons.math3.linear.CholeskyDecomposition
-
Cached value of LT.
- cachedNormalDeviate - Variable in class org.apache.commons.math3.random.AbstractRandomGenerator
-
Cached random normal value.
- cachedOriginal - Variable in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.RotationTransform
-
Cached original hyperplane.
- cachedOriginal - Variable in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.TranslationTransform
-
Cached original hyperplane.
- cachedP - Variable in class org.apache.commons.math3.linear.FieldLUDecomposition
-
Cached value of P.
- cachedP - Variable in class org.apache.commons.math3.linear.HessenbergTransformer
-
Cached value of P.
- cachedP - Variable in class org.apache.commons.math3.linear.LUDecomposition
-
Cached value of P.
- cachedP - Variable in class org.apache.commons.math3.linear.RRQRDecomposition
-
Cached value of P.
- cachedP - Variable in class org.apache.commons.math3.linear.SchurTransformer
-
Cached value of P.
- cachedPivots - Variable in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Cached pivots.
- cachedPt - Variable in class org.apache.commons.math3.linear.HessenbergTransformer
-
Cached value of Pt.
- cachedPt - Variable in class org.apache.commons.math3.linear.SchurTransformer
-
Cached value of PT.
- cachedQ - Variable in class org.apache.commons.math3.linear.QRDecomposition
-
Cached value of Q.
- cachedQ - Variable in class org.apache.commons.math3.linear.TriDiagonalTransformer
-
Cached value of Q.
- cachedQt - Variable in class org.apache.commons.math3.linear.TriDiagonalTransformer
-
Cached value of Qt.
- cachedQT - Variable in class org.apache.commons.math3.linear.QRDecomposition
-
Cached value of QT.
- cachedR - Variable in class org.apache.commons.math3.linear.QRDecomposition
-
Cached value of R.
- cachedS - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Cached value of S (diagonal) matrix.
- cachedT - Variable in class org.apache.commons.math3.linear.SchurTransformer
-
Cached value of T.
- cachedT - Variable in class org.apache.commons.math3.linear.TriDiagonalTransformer
-
Cached value of T.
- cachedTransform - Variable in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.RotationTransform
-
Cached 2D transform valid inside the cached original hyperplane.
- cachedTransform - Variable in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.TranslationTransform
-
Cached 2D transform valid inside the cached original hyperplane.
- cachedU - Variable in class org.apache.commons.math3.linear.BiDiagonalTransformer
-
Cached value of U.
- cachedU - Variable in class org.apache.commons.math3.linear.FieldLUDecomposition
-
Cached value of U.
- cachedU - Variable in class org.apache.commons.math3.linear.LUDecomposition
-
Cached value of U.
- cachedU - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Cached value of U matrix.
- cachedUt - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Cached value of transposed U matrix.
- cachedV - Variable in class org.apache.commons.math3.linear.BiDiagonalTransformer
-
Cached value of V.
- cachedV - Variable in class org.apache.commons.math3.linear.EigenDecomposition
-
Cached value of V.
- cachedV - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Cached value of V matrix.
- cachedVt - Variable in class org.apache.commons.math3.linear.EigenDecomposition
-
Cached value of Vt.
- cachedVt - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Cached value of transposed V matrix.
- calculateAbsoluteDifferences(double[]) - Method in class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
-
Calculates |z[i]| for all i
- calculateAdjustedRSquared() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
-
Returns the adjusted R-squared statistic, defined by the formula
- calculateAsymptoticPValue(double, int) - Method in class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
- calculateAsymptoticPValue(double, int, int) - Method in class org.apache.commons.math3.stat.inference.MannWhitneyUTest
- calculateBeta() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Calculates the beta of multiple linear regression in matrix notation.
- calculateBeta() - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
-
Calculates beta by GLS.
- calculateBeta() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
-
Calculates the regression coefficients using OLS.
- calculateBetaVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Calculates the beta variance of multiple linear regression in matrix notation.
- calculateBetaVariance() - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
-
Calculates the variance on the beta.
- calculateBetaVariance() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
-
Calculates the variance-covariance matrix of the regression parameters.
- calculateDifferences(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
-
Calculates y[i] - x[i] for all i
- calculateErrorVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Calculates the variance of the error term.
- calculateErrorVariance() - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
-
Calculates the estimated variance of the error term using the formula
- calculateExactPValue(double, int) - Method in class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
-
Algorithm inspired by http://www.fon.hum.uva.nl/Service/Statistics/Signed_Rank_Algorihms.html#C by Rob van Son, Institute of Phonetic Sciences invalid input: '&' IFOTT, University of Amsterdam
- calculateHat() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
-
Compute the "hat" matrix.
- calculateIntegralD(double, int, int, boolean) - Static method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Given a d-statistic in the range [0, 1] and the two sample sizes n and m, an integral d-statistic in the range [0, n*m] is calculated, that can be used for comparison with other integral d-statistics.
- calculateMaxMembershipChange(double[][]) - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
-
Calculate the maximum element-by-element change of the membership matrix for the current iteration.
- calculateNumericalMean() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
- calculateNumericalMean() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
-
Used by
ZipfDistribution.getNumericalMean()
. - calculateNumericalVariance() - Method in class org.apache.commons.math3.distribution.FDistribution
- calculateNumericalVariance() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
- calculateNumericalVariance() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
- calculateNumericalVariance() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
- calculateResiduals() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Calculates the residuals of multiple linear regression in matrix notation.
- calculateResidualSumOfSquares() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
-
Returns the sum of squared residuals.
- calculateRSquared() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
-
Returns the R-Squared statistic, defined by the formula
- calculateTotalSumOfSquares() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
-
Returns the sum of squared deviations of Y from its mean.
- calculateYVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Calculates the variance of the y values.
- CALLBACK - Static variable in class org.apache.commons.math3.util.IntegerSequence.Incrementor
-
Default callback.
- caller(int) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
- caller(int) - Static method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.
- CanberraDistance - Class in org.apache.commons.math3.ml.distance
-
Calculates the Canberra distance between two points.
- CanberraDistance() - Constructor for class org.apache.commons.math3.ml.distance.CanberraDistance
- canIncrement() - Method in class org.apache.commons.math3.util.Incrementor
-
Deprecated.Checks whether a single increment is allowed.
- canIncrement() - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor
-
Checks whether incrementing the counter
nTimes
is allowed. - canIncrement(int) - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor
-
Checks whether incrementing the counter several times is allowed.
- CANNOT_CLEAR_STATISTIC_CONSTRUCTED_FROM_EXTERNAL_MOMENTS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- CANNOT_COMPUTE_0TH_ROOT_OF_UNITY - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- CANNOT_COMPUTE_BETA_DENSITY_AT_0_FOR_SOME_ALPHA - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- CANNOT_COMPUTE_BETA_DENSITY_AT_1_FOR_SOME_BETA - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- CANNOT_COMPUTE_NTH_ROOT_FOR_NEGATIVE_N - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- CANNOT_DISCARD_NEGATIVE_NUMBER_OF_ELEMENTS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- CANNOT_FORMAT_INSTANCE_AS_3D_VECTOR - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- CANNOT_FORMAT_INSTANCE_AS_COMPLEX - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- CANNOT_FORMAT_INSTANCE_AS_REAL_VECTOR - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- CANNOT_FORMAT_OBJECT_TO_FRACTION - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- CANNOT_INCREMENT_STATISTIC_CONSTRUCTED_FROM_EXTERNAL_MOMENTS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- CANNOT_NORMALIZE_A_ZERO_NORM_VECTOR - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- CANNOT_PARSE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- CANNOT_PARSE_AS_TYPE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- CANNOT_RETRIEVE_AT_NEGATIVE_INDEX - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- CANNOT_SET_AT_NEGATIVE_INDEX - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- CANNOT_SUBSTITUTE_ELEMENT_FROM_EMPTY_ARRAY - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- CANNOT_TRANSFORM_TO_DOUBLE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- capacity - Variable in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.FixedCapacityList
-
Capacity of the list
- CARDAN_ANGLES_SINGULARITY - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- CardanEulerSingularityException - Exception Class in org.apache.commons.math3.geometry.euclidean.threed
-
This class represents exceptions thrown while extractiong Cardan or Euler angles from a rotation.
- CardanEulerSingularityException(boolean) - Constructor for exception class org.apache.commons.math3.geometry.euclidean.threed.CardanEulerSingularityException
-
Simple constructor.
- CauchyDistribution - Class in org.apache.commons.math3.distribution
-
Implementation of the Cauchy distribution.
- CauchyDistribution() - Constructor for class org.apache.commons.math3.distribution.CauchyDistribution
-
Creates a Cauchy distribution with the median equal to zero and scale equal to one.
- CauchyDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.CauchyDistribution
-
Creates a Cauchy distribution using the given median and scale.
- CauchyDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.CauchyDistribution
-
Creates a Cauchy distribution using the given median and scale.
- CauchyDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.CauchyDistribution
-
Creates a Cauchy distribution.
- CauchyDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.CauchyDistribution
-
Creates a Cauchy distribution.
- cbrt() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Cubic root.
- cbrt() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Cubic root.
- cbrt() - Method in class org.apache.commons.math3.dfp.Dfp
-
Cubic root.
- cbrt() - Method in interface org.apache.commons.math3.RealFieldElement
-
Cubic root.
- cbrt() - Method in class org.apache.commons.math3.util.Decimal64
-
Cubic root.
- cbrt(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the cubic root of a number.
- Cbrt - Class in org.apache.commons.math3.analysis.function
-
Cube root function.
- Cbrt() - Constructor for class org.apache.commons.math3.analysis.function.Cbrt
- CBRT_MACH_PREC - Static variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The cubic root of
SymmLQ.State.MACH_PREC
. - CBRTTWO - Static variable in class org.apache.commons.math3.util.FastMath
-
Table of 2^((n+2)/3)
- cc - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Cumulation constant.
- cc - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Cumulation constant.
- ccov1 - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Learning rate for rank-one update.
- ccov1 - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Learning rate for rank-one update.
- ccov1Sep - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Learning rate for rank-one update - diagonalOnly
- ccov1Sep - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Learning rate for rank-one update - diagonalOnly
- ccovmu - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Learning rate for rank-mu update'
- ccovmu - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Learning rate for rank-mu update'
- ccovmuSep - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Learning rate for rank-mu update - diagonalOnly
- ccovmuSep - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Learning rate for rank-mu update - diagonalOnly
- cdf(double) - Method in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
-
Deprecated.Calculates
P(D_n < d)
using method described in [1] with quick decisions for extreme values given in [2] (see above). - cdf(double, boolean) - Method in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
-
Deprecated.Calculates
P(D_n < d)
using method described in [1] with quick decisions for extreme values given in [2] (see above). - cdf(double, int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Calculates \(P(D_n invalid input: '<' d)\) using the method described in [1] with quick decisions for extreme values given in [2] (see above).
- cdf(double, int, boolean) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Calculates
P(D_n < d)
using method described in [1] with quick decisions for extreme values given in [2] (see above). - cdfExact(double) - Method in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
-
Deprecated.Calculates
P(D_n < d)
using method described in [1] with quick decisions for extreme values given in [2] (see above). - cdfExact(double, int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Calculates
P(D_n < d)
. - cdiv(double, double, double, double) - Method in class org.apache.commons.math3.linear.EigenDecomposition
-
Performs a division of two complex numbers.
- ceil() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Get the smallest whole number larger than instance.
- ceil() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Get the smallest whole number larger than instance.
- ceil() - Method in class org.apache.commons.math3.dfp.Dfp
-
Round to an integer using the round ceil mode.
- ceil() - Method in interface org.apache.commons.math3.RealFieldElement
-
Get the smallest whole number larger than instance.
- ceil() - Method in class org.apache.commons.math3.util.Decimal64
-
Get the smallest whole number larger than instance.
- ceil(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Get the smallest whole number larger than x.
- Ceil - Class in org.apache.commons.math3.analysis.function
-
ceil
function. - Ceil() - Constructor for class org.apache.commons.math3.analysis.function.Ceil
- center - Variable in class org.apache.commons.math3.geometry.enclosing.EnclosingBall
-
Center of the ball.
- center - Variable in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.RotationTransform
-
Center point of the rotation.
- center - Variable in class org.apache.commons.math3.ml.clustering.CentroidCluster
-
Center of the cluster.
- center - Variable in class org.apache.commons.math3.stat.clustering.Cluster
-
Deprecated.Center of the cluster.
- CENTER - Enum constant in enum org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D.HorizontalDirection
-
Current column.
- CENTER - Enum constant in enum org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D.VerticalDirection
-
Current row.
- CentralPivotingStrategy - Class in org.apache.commons.math3.util
-
A mid point strategy based on the average of begin and end indices.
- CentralPivotingStrategy() - Constructor for class org.apache.commons.math3.util.CentralPivotingStrategy
- CentroidCluster<T> - Class in org.apache.commons.math3.ml.clustering
-
A Cluster used by centroid-based clustering algorithms.
- CentroidCluster(Clusterable) - Constructor for class org.apache.commons.math3.ml.clustering.CentroidCluster
-
Build a cluster centered at a specified point.
- centroidOf(Collection<EuclideanDoublePoint>) - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
-
Deprecated.Returns the centroid of the given Collection of points.
- centroidOf(Collection<EuclideanIntegerPoint>) - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
-
Deprecated.Returns the centroid of the given Collection of points.
- centroidOf(Collection<T>) - Method in interface org.apache.commons.math3.stat.clustering.Clusterable
-
Deprecated.Returns the centroid of the given Collection of points.
- centroidOf(Collection<T>, int) - Method in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
-
Computes the centroid for a set of points.
- centroidOf(Cluster<T>) - Method in class org.apache.commons.math3.ml.clustering.evaluation.ClusterEvaluator
-
Computes the centroid for a cluster.
- cgnorm - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The estimate of the norm of P * rC[k].
- changeIndexSign(int) - Static method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Change the index sign
- changeIndexSign(int) - Static method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Change the index sign
- Characterization<S> - Class in org.apache.commons.math3.geometry.partitioning
-
Cut sub-hyperplanes characterization with respect to inside/outside cells.
- Characterization(BSPTree<S>, SubHyperplane<S>) - Constructor for class org.apache.commons.math3.geometry.partitioning.Characterization
-
Simple constructor.
- characterize(BSPTree<S>, SubHyperplane<S>, List<BSPTree<S>>) - Method in class org.apache.commons.math3.geometry.partitioning.Characterization
-
Filter the parts of an hyperplane belonging to the boundary.
- CHEBYSHEV_COEFFICIENTS - Static variable in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
-
Coefficients for Chebyshev polynomials.
- ChebyshevDistance - Class in org.apache.commons.math3.ml.distance
-
Calculates the L∞ (max of abs) distance between two points.
- ChebyshevDistance() - Constructor for class org.apache.commons.math3.ml.distance.ChebyshevDistance
- check - Variable in class org.apache.commons.math3.linear.ConjugateGradient
-
true
if positive-definiteness of matrix and preconditioner should be checked. - check - Variable in class org.apache.commons.math3.linear.SymmLQ
-
true
if symmetry of matrix and conditioner must be checked. - check - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
true
if symmetry of matrix and conditioner must be checked. - check2PiConsistency() - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
-
Check consistency.
- checkAdditionCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Check if matrices are addition compatible.
- checkAdditionCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Check if a matrix is addition compatible with the instance.
- checkAllFiniteReal(double[]) - Static method in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
-
Check that all elements of an array are finite real numbers.
- checkArray(double[]) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Verifies that
array
has length at least 2. - checkArray(long[][]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
-
Checks to make sure that the input long[][] array is rectangular, has at least 2 rows and 2 columns, and has all non-negative entries.
- checkBinomial(int, int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
-
Check binomial preconditions.
- checkColumnIndex(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Check if a column index is valid.
- checkColumnIndex(AnyMatrix, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Check if a column index is valid.
- checkCompatibility(DSCompiler) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Check rules set compatibility.
- checkContractExpand(double, double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Checks the expansion factor and the contraction criterion and raises an exception if the contraction criterion is smaller than the expansion criterion.
- checkContractExpand(float, float) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Deprecated.As of 3.1. Please use
ResizableDoubleArray.checkContractExpand(double,double)
instead. - checkDimension(int) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Throws DimensionMismatchException if dimension != k.
- checkDimension(int, Object) - Method in class org.apache.commons.math3.ode.JacobianMatrices
-
Check array dimensions.
- checkDimensionsEquality(int, int) - Method in class org.apache.commons.math3.ode.ContinuousOutputFieldModel
-
Check dimensions equality.
- checkedCumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
-
Computes the cumulative probability function and checks for
NaN
values returned. - checkEmpty() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
-
Throws MathIllegalStateException if n > 0.
- checkEmpty() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Throws MathIllegalStateException if the statistic is not empty.
- checkEmpty() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Throws IllegalStateException if n > 0.
- checkEqualLength(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Check that both arrays have the same length.
- checkEqualLength(double[], double[], boolean) - Static method in class org.apache.commons.math3.util.MathArrays
-
Check that both arrays have the same length.
- checkEqualLength(int[], int[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Check that both arrays have the same length.
- checkEqualLength(int[], int[], boolean) - Static method in class org.apache.commons.math3.util.MathArrays
-
Check that both arrays have the same length.
- checker - Variable in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
-
convergence checker
- checker - Variable in class org.apache.commons.math3.optim.AbstractOptimizationProblem
-
Convergence checker.
- checker - Variable in class org.apache.commons.math3.optim.BaseOptimizer
-
Convergence checker.
- checker - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.Convergence checker.
- checker - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.Convergence checker.
- checker - Variable in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.Convergence checker.
- checker(ConvergenceChecker<LeastSquaresProblem.Evaluation>) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
-
Configure the convergence checker.
- checkerPair(ConvergenceChecker<PointVectorValuePair>) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
-
Configure the convergence checker.
- checkFeasableCount - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Determines how often a new random offspring is generated in case it is not feasible / beyond the defined limits, default is 0.
- checkFeasableCount - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Determines how often a new random offspring is generated in case it is not feasible / beyond the defined limits, default is 0.
- checkFinite(double) - Static method in class org.apache.commons.math3.util.MathUtils
-
Check that the argument is a real number.
- checkFinite(double[]) - Static method in class org.apache.commons.math3.util.MathUtils
-
Check that all the elements are real numbers.
- checkIndex(int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Check if an index is valid.
- checkIndex(int) - Method in class org.apache.commons.math3.linear.RealVector
-
Check if an index is valid.
- checkIndex(int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Check whether an index is valid.
- checkIndex(int) - Method in class org.apache.commons.math3.ode.FieldEquationsMapper
-
Check equation index.
- checkIndices(int, int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Checks that the indices of a subvector are valid.
- checkIndices(int, int) - Method in class org.apache.commons.math3.linear.RealVector
-
Checks that the indices of a subvector are valid.
- checkIndices(int, int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Checks that the indices of a subvector are valid.
- checkInterpolation() - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
-
Check interpolation can be performed.
- checkLen(int, int) - Static method in class org.apache.commons.math3.util.FastMathCalc
-
Check two lengths are equal.
- checkMatrixIndex(AnyMatrix, int, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Check if matrix indices are valid.
- checkMultiplicationCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Check if matrices are multiplication compatible
- checkMultiplicationCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Check if a matrix is multiplication compatible with the instance.
- checkNonNegative(long[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Check that all entries of the input array are >= 0.
- checkNonNegative(long[][]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Check all entries of the input array are >= 0.
- checkNotNaN(double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Check that no entry of the input array is
NaN
. - checkNotNull(Object) - Static method in class org.apache.commons.math3.util.MathUtils
-
Checks that an object is not null.
- checkNotNull(Object, Localizable, Object...) - Static method in class org.apache.commons.math3.util.MathUtils
-
Checks that an object is not null.
- checkOrder(double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Check that the given array is sorted in strictly increasing order.
- checkOrder(double[], MathArrays.OrderDirection, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
-
Check that the given array is sorted.
- checkOrder(double[], MathArrays.OrderDirection, boolean, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
-
Check that the given array is sorted.
- checkParameters() - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
-
Check parameters consistency.
- checkParameters() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
- checkParameters() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Checks dimensions and values of boundaries and inputSigma if defined.
- checkParameters() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
- checkParameters() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer
- checkParameters() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.GaussNewtonOptimizer
-
Deprecated.
- checkParameters() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Deprecated.
- checkParameters() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
-
Deprecated.Check parameters consistency.
- checkParameters() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.Check parameters consistency.
- checkParameters() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.Check parameters consistency.
- checkParameters() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Checks dimensions and values of boundaries and inputSigma if defined.
- checkParameters(double, double, double) - Method in class org.apache.commons.math3.stat.interval.ConfidenceInterval
-
Verifies that (lower, upper) is a valid non-empty interval and confidence is strictly between 0 and 1.
- checkParameters(int, int, double) - Static method in class org.apache.commons.math3.stat.interval.IntervalUtils
-
Verifies that parameters satisfy preconditions.
- checkParameters(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Static method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
-
Performs all dimension checks on the parameters of
solve
andsolveInPlace
, and throws an exception if one of the checks fails. - checkParameters(RealLinearOperator, RealVector, RealVector) - Static method in class org.apache.commons.math3.linear.IterativeLinearSolver
-
Performs all dimension checks on the parameters of
solve
andsolveInPlace
, and throws an exception if one of the checks fails. - checkPoint(double) - Method in class org.apache.commons.math3.geometry.spherical.oned.Arc
-
Check a point with respect to the arc.
- checkPoint(double, double) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
-
Check a point with respect to the interval.
- checkPoint(BSPTree<S>, Point<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Check a point with respect to the region starting at a given node.
- checkPoint(BSPTree<S>, Vector<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Check a point with respect to the region starting at a given node.
- checkPoint(Point<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Check a point with respect to the region.
- checkPoint(Point<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
-
Check a point with respect to the region.
- checkPoint(Vector<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Check a point with respect to the region.
- checkPositive(double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Check that all entries of the input array are strictly positive.
- checkRectangular(long[][]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Throws DimensionMismatchException if the input array is not rectangular.
- checkRowIndex(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Check if a row index is valid.
- checkRowIndex(AnyMatrix, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Check if a row index is valid.
- checkSampleData(double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Check sample data.
- checkSampleData(StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Check sample data.
- checkSignificanceLevel(double) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Check significance level.
- checkSubMatrixIndex(int[], int[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Check if submatrix ranges indices are valid.
- checkSubMatrixIndex(int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Check if submatrix ranges indices are valid.
- checkSubMatrixIndex(AnyMatrix, int[], int[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Check if submatrix ranges indices are valid.
- checkSubMatrixIndex(AnyMatrix, int, int, int, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Check if submatrix ranges indices are valid.
- checkSubtractionCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Check if matrices are subtraction compatible
- checkSubtractionCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Check if a matrix is subtraction compatible with the instance.
- checkSufficientData(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.Covariance
-
Throws MathIllegalArgumentException if the matrix does not have at least one column and two rows.
- checkSufficientData(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
-
Throws MathIllegalArgumentException if the matrix does not have at least two columns and two rows.
- checkSymmetric(RealMatrix, double) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Checks whether a matrix is symmetric.
- checkSymmetry(RealLinearOperator, RealVector, RealVector, RealVector) - Static method in class org.apache.commons.math3.linear.SymmLQ.State
-
Performs a symmetry check on the specified linear operator, and throws an exception in case this check fails.
- checkValidity(List<Double>) - Method in class org.apache.commons.math3.genetics.RandomKey
-
Asserts that
representation
can represent a valid chromosome. - checkValidity(List<Integer>) - Method in class org.apache.commons.math3.genetics.BinaryChromosome
-
Asserts that
representation
can represent a valid chromosome. - checkValidity(List<T>) - Method in class org.apache.commons.math3.genetics.AbstractListChromosome
-
Asserts that
representation
can represent a valid chromosome. - checkVectorDimensions(int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Check if instance dimension is equal to some expected value.
- checkVectorDimensions(int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Check if instance dimension is equal to some expected value.
- checkVectorDimensions(int) - Method in class org.apache.commons.math3.linear.RealVector
-
Check if instance dimension is equal to some expected value.
- checkVectorDimensions(int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Check if instance dimension is equal to some expected value.
- checkVectorDimensions(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Check if instance and specified vectors have the same dimension.
- checkVectorDimensions(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Check if instance and specified vectors have the same dimension.
- checkVectorDimensions(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
-
Check if instance and specified vectors have the same dimension.
- ChengBetaSampler() - Constructor for class org.apache.commons.math3.distribution.BetaDistribution.ChengBetaSampler
- CHI_SQUARE_TEST - Static variable in class org.apache.commons.math3.stat.inference.TestUtils
-
Singleton ChiSquareTest instance.
- childAfter(BSPTree<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Find the child node just after an internal node.
- childAfter(BSPTree<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
-
Find the child node just after an internal node.
- childBefore(BSPTree<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Find the child node just before an internal node.
- childBefore(BSPTree<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
-
Find the child node just before an internal node.
- chiN - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Expectation of ||N(0,I)|| == norm(randn(N,1)).
- chiN - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Expectation of ||N(0,I)|| == norm(randn(N,1)).
- chiSquare(double[], long[]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
- chiSquare(double[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- chiSquare(long[][]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
-
Computes the Chi-Square statistic associated with a chi-square test of independence based on the input
counts
array, viewed as a two-way table. - chiSquare(long[][]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- chiSquareDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
-
Computes a Chi-Square two sample test statistic comparing bin frequency counts in
observed1
andobserved2
. - chiSquareDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- ChiSquaredDistribution - Class in org.apache.commons.math3.distribution
-
Implementation of the chi-squared distribution.
- ChiSquaredDistribution(double) - Constructor for class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Create a Chi-Squared distribution with the given degrees of freedom.
- ChiSquaredDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Create a Chi-Squared distribution with the given degrees of freedom and inverse cumulative probability accuracy.
- ChiSquaredDistribution(RandomGenerator, double) - Constructor for class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Create a Chi-Squared distribution with the given degrees of freedom.
- ChiSquaredDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Create a Chi-Squared distribution with the given degrees of freedom and inverse cumulative probability accuracy.
- chiSquareTest(double[], long[]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
-
Returns the observed significance level, or p-value, associated with a Chi-square goodness of fit test comparing the
observed
frequency counts to those in theexpected
array. - chiSquareTest(double[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- chiSquareTest(double[], long[], double) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
-
Performs a Chi-square goodness of fit test evaluating the null hypothesis that the observed counts conform to the frequency distribution described by the expected counts, with significance level
alpha
. - chiSquareTest(double[], long[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- chiSquareTest(long[][]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
-
Returns the observed significance level, or p-value, associated with a chi-square test of independence based on the input
counts
array, viewed as a two-way table. - chiSquareTest(long[][]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- chiSquareTest(long[][], double) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
-
Performs a chi-square test of independence evaluating the null hypothesis that the classifications represented by the counts in the columns of the input 2-way table are independent of the rows, with significance level
alpha
. - chiSquareTest(long[][], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- ChiSquareTest - Class in org.apache.commons.math3.stat.inference
-
Implements Chi-Square test statistics.
- ChiSquareTest() - Constructor for class org.apache.commons.math3.stat.inference.ChiSquareTest
-
Construct a ChiSquareTest
- chiSquareTestDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
-
Returns the observed significance level, or p-value, associated with a Chi-Square two sample test comparing bin frequency counts in
observed1
andobserved2
. - chiSquareTestDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- chiSquareTestDataSetsComparison(long[], long[], double) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
-
Performs a Chi-Square two sample test comparing two binned data sets.
- chiSquareTestDataSetsComparison(long[], long[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- CHOLESKY - Enum constant in enum org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer.Decomposition
-
Solve by forming the normal equations (JTJx=JTr) and using the
CholeskyDecomposition
. - CholeskyDecomposition - Class in org.apache.commons.math3.linear
-
Calculates the Cholesky decomposition of a matrix.
- CholeskyDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.CholeskyDecomposition
-
Calculates the Cholesky decomposition of the given matrix.
- CholeskyDecomposition(RealMatrix, double, double) - Constructor for class org.apache.commons.math3.linear.CholeskyDecomposition
-
Calculates the Cholesky decomposition of the given matrix.
- CholeskyDecomposition.Solver - Class in org.apache.commons.math3.linear
-
Specialized solver.
- chooseInitialCenters(Collection<T>) - Method in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
-
Use K-means++ to choose the initial centers.
- chooseInitialCenters(Collection<T>, int, Random) - Static method in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
-
Deprecated.Use K-means++ to choose the initial centers.
- chopOffMinus(Hyperplane<S>, BSPTree.VanishingCutHandler<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Chop off parts of the tree.
- chopOffPlus(Hyperplane<S>, BSPTree.VanishingCutHandler<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Chop off parts of the tree.
- Chromosome - Class in org.apache.commons.math3.genetics
-
Individual in a population.
- Chromosome() - Constructor for class org.apache.commons.math3.genetics.Chromosome
- ChromosomePair - Class in org.apache.commons.math3.genetics
-
A pair of
Chromosome
objects. - ChromosomePair(Chromosome, Chromosome) - Constructor for class org.apache.commons.math3.genetics.ChromosomePair
-
Create a chromosome pair.
- chromosomes - Variable in class org.apache.commons.math3.genetics.ListPopulation
-
List of chromosomes
- circle - Variable in class org.apache.commons.math3.geometry.spherical.twod.Edge
-
Circle supporting the edge.
- Circle - Class in org.apache.commons.math3.geometry.spherical.twod
-
This class represents an oriented great circle on the 2-sphere.
- Circle(Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.Circle
-
Build a great circle from its pole.
- Circle(Vector3D, Vector3D, Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.Circle
-
Build a circle from its internal components.
- Circle(Circle) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.Circle
-
Copy constructor.
- Circle(S2Point, S2Point, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.Circle
-
Build a great circle from two non-aligned points.
- Circle.CircleTransform - Class in org.apache.commons.math3.geometry.spherical.twod
-
Class embedding a 3D rotation.
- circles - Variable in class org.apache.commons.math3.geometry.spherical.twod.Vertex
-
Circles bound with this vertex.
- CircleTransform(Rotation) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.Circle.CircleTransform
-
Build a transform from a
Rotation
. - CLASS_DOESNT_IMPLEMENT_COMPARABLE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- classes() - Method in class org.apache.commons.math3.util.TransformerMap
-
Returns the Set of Classes used as keys in the map.
- ClassicalRungeKuttaFieldIntegrator<T> - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements the classical fourth order Runge-Kutta integrator for Ordinary Differential Equations (it is the most often used Runge-Kutta method).
- ClassicalRungeKuttaFieldIntegrator(Field<T>, T) - Constructor for class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaFieldIntegrator
-
Simple constructor.
- ClassicalRungeKuttaFieldStepInterpolator<T> - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements a step interpolator for the classical fourth order Runge-Kutta integrator.
- ClassicalRungeKuttaFieldStepInterpolator(Field<T>, boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Constructor for class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaFieldStepInterpolator
-
Simple constructor.
- ClassicalRungeKuttaIntegrator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements the classical fourth order Runge-Kutta integrator for Ordinary Differential Equations (it is the most often used Runge-Kutta method).
- ClassicalRungeKuttaIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaIntegrator
-
Simple constructor.
- ClassicalRungeKuttaStepInterpolator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements a step interpolator for the classical fourth order Runge-Kutta integrator.
- ClassicalRungeKuttaStepInterpolator() - Constructor for class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaStepInterpolator
-
Simple constructor.
- ClassicalRungeKuttaStepInterpolator(ClassicalRungeKuttaStepInterpolator) - Constructor for class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaStepInterpolator
-
Copy constructor.
- classify() - Method in class org.apache.commons.math3.dfp.Dfp
-
Returns the type - one of FINITE, INFINITE, SNAN, QNAN.
- clear() - Method in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere
-
Reset the all the
facets
data to zero. - clear() - Method in class org.apache.commons.math3.fitting.WeightedObservedPoints
-
Removes all observations from this container.
- clear() - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
-
Method that will called in order to clear all stored optima.
- clear() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer
-
Method that will called in order to clear all stored optima.
- clear() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer
-
Deprecated.Method that will called in order to clear all stored optima.
- clear() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
-
Clears the cache used by the default implementation of
AbstractRandomGenerator.nextGaussian()
. - clear() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
-
Clears the cache used by the default implementation of
BitsStreamGenerator.nextGaussian
. - clear() - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Resets all statistics and storage
- clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.FourthMoment
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.ThirdMoment
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Resets all statistics and storage
- clear() - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
-
Clears the internal state of the Statistic
- clear() - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
-
Clears the internal state of the Statistic
- clear() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Resets all statistics and storage
- clear() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
-
Resets all statistics and storage
- clear() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Resets all statistics and storage
- clear() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Resets all statistics and storage
- clear() - Method in class org.apache.commons.math3.stat.Frequency
-
Clears the frequency table
- clear() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
As the name suggests, clear wipes the internals and reorders everything in the canonical order.
- clear() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Clears all data from the model.
- clear() - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
-
Clears internal buffers and resets the regression model.
- clear() - Method in interface org.apache.commons.math3.util.DoubleArray
-
Clear the double array
- clear() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Clear the array contents, resetting the number of elements to zero.
- clear() - Method in class org.apache.commons.math3.util.TransformerMap
-
Clears all the Class to Transformer mappings.
- clearEventHandlers() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Remove all the event handlers that have been added to the integrator.
- clearEventHandlers() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Remove all the event handlers that have been added to the integrator.
- clearEventHandlers() - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator
-
Remove all the event handlers that have been added to the integrator.
- clearEventHandlers() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
-
Remove all the event handlers that have been added to the integrator.
- clearIEEEFlags() - Method in class org.apache.commons.math3.dfp.DfpField
-
Clears the IEEE 854 status flags.
- clearObservations() - Method in class org.apache.commons.math3.fitting.CurveFitter
-
Deprecated.Remove all observations.
- clearObservations() - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
-
Deprecated.Remove all observations.
- clearStepHandlers() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Remove all the step handlers that have been added to the integrator.
- clearStepHandlers() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Remove all the step handlers that have been added to the integrator.
- clearStepHandlers() - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator
-
Remove all the step handlers that have been added to the integrator.
- clearStepHandlers() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
-
Remove all the step handlers that have been added to the integrator.
- clone() - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Marker
-
Clone this instance.
- clone() - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Markers
-
A clone function to clone the current instance.
- clone() - Method in interface org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.PSquareMarkers
-
A clone function to clone the current instance.
- clone() - Method in class org.apache.commons.math3.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
-
Deprecated.
- clone(FastFourierTransformer.MultiDimensionalComplexMatrix) - Method in class org.apache.commons.math3.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
-
Deprecated.Copy contents of current array into mdcm.
- CLOPPER_PEARSON - Static variable in class org.apache.commons.math3.stat.interval.IntervalUtils
-
Singleton Clopper-Pearson instance.
- ClopperPearsonInterval - Class in org.apache.commons.math3.stat.interval
-
Implements the Clopper-Pearson method for creating a binomial proportion confidence interval.
- ClopperPearsonInterval() - Constructor for class org.apache.commons.math3.stat.interval.ClopperPearsonInterval
- CLOSE_VERTICES - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- closeReplayFile() - Method in class org.apache.commons.math3.random.ValueServer
-
Closes
valuesFileURL
after use in REPLAY_MODE. - CLOSEST_ORTHOGONAL_MATRIX_HAS_NEGATIVE_DETERMINANT - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- closestPoint(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Compute the point of the instance closest to another line.
- closeVerticesConnections(List<PolygonsSet.ConnectableSegment>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
-
Connect the segments using Euclidean distance.
- cluster(Collection<T>) - Method in class org.apache.commons.math3.ml.clustering.Clusterer
-
Perform a cluster analysis on the given set of
Clusterable
instances. - cluster(Collection<T>) - Method in class org.apache.commons.math3.ml.clustering.DBSCANClusterer
-
Performs DBSCAN cluster analysis.
- cluster(Collection<T>) - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
-
Performs Fuzzy K-Means cluster analysis.
- cluster(Collection<T>) - Method in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
-
Runs the K-means++ clustering algorithm.
- cluster(Collection<T>) - Method in class org.apache.commons.math3.ml.clustering.MultiKMeansPlusPlusClusterer
-
Runs the K-means++ clustering algorithm.
- cluster(Collection<T>) - Method in class org.apache.commons.math3.stat.clustering.DBSCANClusterer
-
Deprecated.Performs DBSCAN cluster analysis.
- cluster(Collection<T>, int, int) - Method in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
-
Deprecated.Runs the K-means++ clustering algorithm.
- cluster(Collection<T>, int, int, int) - Method in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
-
Deprecated.Runs the K-means++ clustering algorithm.
- Cluster<T> - Class in org.apache.commons.math3.ml.clustering
-
Cluster holding a set of
Clusterable
points. - Cluster<T> - Class in org.apache.commons.math3.stat.clustering
-
Deprecated.As of 3.2 (to be removed in 4.0), use
Cluster
instead - Cluster() - Constructor for class org.apache.commons.math3.ml.clustering.Cluster
-
Build a cluster centered at a specified point.
- Cluster(T) - Constructor for class org.apache.commons.math3.stat.clustering.Cluster
-
Deprecated.Build a cluster centered at a specified point.
- Clusterable - Interface in org.apache.commons.math3.ml.clustering
-
Interface for n-dimensional points that can be clustered together.
- Clusterable<T> - Interface in org.apache.commons.math3.stat.clustering
-
Deprecated.As of 3.2 (to be removed in 4.0), use
Clusterable
instead - clusterer - Variable in class org.apache.commons.math3.ml.clustering.MultiKMeansPlusPlusClusterer
-
The underlying k-means clusterer.
- Clusterer<T> - Class in org.apache.commons.math3.ml.clustering
-
Base class for clustering algorithms.
- Clusterer(DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.clustering.Clusterer
-
Build a new clusterer with the given
DistanceMeasure
. - ClusterEvaluator<T> - Class in org.apache.commons.math3.ml.clustering.evaluation
-
Base class for cluster evaluation methods.
- ClusterEvaluator() - Constructor for class org.apache.commons.math3.ml.clustering.evaluation.ClusterEvaluator
-
Creates a new cluster evaluator with an
EuclideanDistance
as distance measure. - ClusterEvaluator(DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.clustering.evaluation.ClusterEvaluator
-
Creates a new cluster evaluator with the given distance measure.
- clusters - Variable in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
-
The list of clusters resulting from the last call to
FuzzyKMeansClusterer.cluster(Collection)
. - CMAESOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
-
An implementation of the active Covariance Matrix Adaptation Evolution Strategy (CMA-ES) for non-linear, non-convex, non-smooth, global function minimization.
- CMAESOptimizer - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.As of 3.1 (to be removed in 4.0).
- CMAESOptimizer() - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.As of version 3.1: Parameter
lambda
must be passed with the call tooptimize
(whereas in the current code it is set to an undocumented value). - CMAESOptimizer(int) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.As of version 3.1: Parameter
lambda
must be passed with the call tooptimize
(whereas in the current code it is set to an undocumented value).. - CMAESOptimizer(int, double[]) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- CMAESOptimizer(int, double[], int, double, boolean, int, int, RandomGenerator, boolean) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- CMAESOptimizer(int, double[], int, double, boolean, int, int, RandomGenerator, boolean, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- CMAESOptimizer(int, double, boolean, int, int, RandomGenerator, boolean, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
- CMAESOptimizer(int, double, boolean, int, int, RandomGenerator, boolean, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- CMAESOptimizer.DoubleIndex - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
-
Used to sort fitness values.
- CMAESOptimizer.DoubleIndex - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.Used to sort fitness values.
- CMAESOptimizer.FitnessFunction - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
-
Normalizes fitness values to the range [0,1].
- CMAESOptimizer.FitnessFunction - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.Normalizes fitness values to the range [0,1].
- CMAESOptimizer.PopulationSize - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
-
Population size.
- CMAESOptimizer.PopulationSize - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.Population size.
- CMAESOptimizer.Sigma - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
-
Input sigma values.
- CMAESOptimizer.Sigma - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.Input sigma values.
- CMAESOptimizer.ValuePenaltyPair - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
-
Stores the value and penalty (for repair of out of bounds point).
- CodyWaite(double) - Constructor for class org.apache.commons.math3.util.FastMath.CodyWaite
- coeff - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
extrapolation coefficients.
- coefficients - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
-
The coefficients of the polynomial, ordered by degree -- i.e., coefficients[0] is the constant term and coefficients[n] is the coefficient of x^n where n is the degree of the polynomial.
- coefficients - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
-
The coefficients of the polynomial, ordered by degree -- i.e.
- coefficients - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
-
The coefficients of the polynomial, ordered by degree -- i.e.
- coefficients - Variable in class org.apache.commons.math3.optim.linear.LinearConstraint
-
Coefficients of the constraint (left hand side).
- coefficients - Variable in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
-
Coefficients of the linear equation (ci).
- coefficients - Variable in class org.apache.commons.math3.optimization.linear.LinearConstraint
-
Deprecated.Coefficients of the constraint (left hand side).
- coefficients - Variable in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
-
Deprecated.Coefficients of the constraint (ci).
- coefficientsComputed - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
-
Whether the polynomial coefficients are available.
- coefficientsComputed - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
-
Whether the polynomial coefficients are available.
- collector(BivariateFunction, double) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
Returns a MultivariateFunction h(x[]) defined by
- collector(BivariateFunction, UnivariateFunction, double) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
Returns a MultivariateFunction h(x[]) defined by
- cols - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.As of 3.1.
- column - Variable in exception class org.apache.commons.math3.linear.NonSymmetricMatrixException
-
Column.
- column - Variable in class org.apache.commons.math3.ml.neuralnet.twod.util.LocationFinder.Location
-
Column index.
- COLUMN_INDEX - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- COLUMN_INDEX_OUT_OF_RANGE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- columnLabels - Variable in class org.apache.commons.math3.optim.linear.SimplexTableau
-
The variables each column represents
- columnLabels - Variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.The variables each column represents
- columns - Variable in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Number of columns of the matrix.
- columns - Variable in class org.apache.commons.math3.linear.BlockRealMatrix
-
Number of columns of the matrix.
- columns - Variable in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Number of columns of the matrix.
- columns - Variable in class org.apache.commons.math3.linear.SparseFieldMatrix
-
Column dimension.
- columnSeparator - Variable in class org.apache.commons.math3.linear.RealMatrixFormat
-
Column separator.
- Combinations - Class in org.apache.commons.math3.util
- Combinations(int, int) - Constructor for class org.apache.commons.math3.util.Combinations
-
Creates an instance whose range is the k-element subsets of {0, ..., n - 1} represented as
int[]
arrays. - Combinations(int, int, Combinations.IterationOrder) - Constructor for class org.apache.commons.math3.util.Combinations
-
Creates an instance whose range is the k-element subsets of {0, ..., n - 1} represented as
int[]
arrays. - Combinations.IterationOrder - Enum in org.apache.commons.math3.util
-
Describes the type of iteration performed by the
iterator
. - Combinations.LexicographicComparator - Class in org.apache.commons.math3.util
-
Defines the lexicographic ordering of combinations, using the
Combinations.LexicographicComparator.lexNorm(int[])
method. - Combinations.LexicographicIterator - Class in org.apache.commons.math3.util
-
Lexicographic combinations iterator.
- Combinations.SingletonIterator - Class in org.apache.commons.math3.util
-
Iterator with just one element to handle degenerate cases (full array, empty array) for combination iterator.
- combinationsIterator(int, int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
-
Returns an iterator whose range is the k-element subsets of {0, ..., n - 1} represented as
int[]
arrays. - CombinatoricsUtils - Class in org.apache.commons.math3.util
-
Combinatorial utilities.
- CombinatoricsUtils() - Constructor for class org.apache.commons.math3.util.CombinatoricsUtils
-
Private constructor (class contains only static methods).
- combine(double, double, RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Returns a new vector representing
a * this + b * y
, the linear combination ofthis
andy
. - combine(double, double, RealVector) - Method in class org.apache.commons.math3.linear.RealVector
-
Returns a new vector representing
a * this + b * y
, the linear combination ofthis
andy
. - combine(BivariateFunction, UnivariateFunction, UnivariateFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
Returns the univariate function
h(x) = combiner(f(x), g(x)).
- combine(T[], T...) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaFieldStepInterpolator
-
Linearly combine arrays.
- combineToSelf(double, double, RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Updates
this
with the linear combination ofthis
andy
. - combineToSelf(double, double, RealVector) - Method in class org.apache.commons.math3.linear.RealVector
-
Updates
this
with the linear combination ofthis
andy
. - comparator() - Method in class org.apache.commons.math3.util.Combinations
-
Defines a lexicographic ordering of combinations.
- COMPARATOR - Static variable in class org.apache.commons.math3.ml.neuralnet.MapUtils.PairNeuronDouble
-
Comparator.
- comparatorPermutation(List<S>, Comparator<S>) - Static method in class org.apache.commons.math3.genetics.RandomKey
-
Generates a representation of a permutation corresponding to the
data
sorted bycomparator
. - compare(int[], int[]) - Method in class org.apache.commons.math3.util.Combinations.LexicographicComparator
- compare(Comparable<T>, Comparable<T>) - Method in class org.apache.commons.math3.stat.Frequency.NaturalComparator
-
Compare the two
Comparable
arguments. - compare(Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.Dfp
-
Compare two instances.
- compare(Neuron, Neuron) - Method in class org.apache.commons.math3.ml.neuralnet.Network.NeuronIdentifierComparator
- compareAndSetFeatures(double[], double[]) - Method in class org.apache.commons.math3.ml.neuralnet.Neuron
-
Tries to atomically update the neuron's features.
- compareTo(double, double, double) - Static method in class org.apache.commons.math3.util.Precision
-
Compares two numbers given some amount of allowed error.
- compareTo(double, double, int) - Static method in class org.apache.commons.math3.util.Precision
-
Compares two numbers given some amount of allowed error.
- compareTo(MultivariateNormalMixtureExpectationMaximization.DataRow) - Method in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization.DataRow
-
Compare two data rows.
- compareTo(BigFraction) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Compares this object to another based on size.
- compareTo(Fraction) - Method in class org.apache.commons.math3.fraction.Fraction
-
Compares this object to another based on size.
- compareTo(Chromosome) - Method in class org.apache.commons.math3.genetics.Chromosome
-
Compares two chromosomes based on their fitness.
- compareTo(OrderedTuple) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Deprecated.Compares this ordered T-uple with the specified object.
- compareTo(CMAESOptimizer.DoubleIndex) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.DoubleIndex
- compareTo(CMAESOptimizer.DoubleIndex) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.DoubleIndex
-
Deprecated.
- compareTo(NaturalRanking.IntDoublePair) - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking.IntDoublePair
-
Compare this IntDoublePair to another pair.
- compareTo(BigReal) - Method in class org.apache.commons.math3.util.BigReal
- compareTo(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
-
The current implementation returns the same value as
new Double(this.doubleValue()).compareTo(new Double(o.doubleValue()))
- compileCompositionIndirection(int, int, DSCompiler, DSCompiler, int[][], int[][]) - Static method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compile the function composition indirection array.
- compileDerivativesIndirection(int, int, DSCompiler, DSCompiler) - Static method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compile the derivatives indirection array.
- compileLowerIndirection(int, int, DSCompiler, DSCompiler) - Static method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compile the lower derivatives indirection array.
- compileMultiplicationIndirection(int, int, DSCompiler, DSCompiler, int[]) - Static method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compile the multiplication indirection array.
- compiler - Variable in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Compiler for the current dimensions.
- compilers - Static variable in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Array of all compilers created so far.
- compileSizes(int, int, DSCompiler) - Static method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compile the sizes array.
- compIndirection - Variable in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Indirection arrays for function composition.
- complainIfNotSupported(String) - Method in class org.apache.commons.math3.ode.AbstractParameterizable
-
Check if a parameter is supported and throw an IllegalArgumentException if not.
- complement(int) - Method in class org.apache.commons.math3.dfp.Dfp
-
Negate the mantissa of this by computing the complement.
- Complex - Class in org.apache.commons.math3.complex
-
Representation of a Complex number, i.e.
- Complex(double) - Constructor for class org.apache.commons.math3.complex.Complex
-
Create a complex number given only the real part.
- Complex(double, double) - Constructor for class org.apache.commons.math3.complex.Complex
-
Create a complex number given the real and imaginary parts.
- ComplexField - Class in org.apache.commons.math3.complex
-
Representation of the complex numbers field.
- ComplexField() - Constructor for class org.apache.commons.math3.complex.ComplexField
-
Private constructor for the singleton.
- ComplexField.LazyHolder - Class in org.apache.commons.math3.complex
-
Holder for the instance.
- ComplexFormat - Class in org.apache.commons.math3.complex
-
Formats a Complex number in cartesian format "Re(c) + Im(c)i".
- ComplexFormat() - Constructor for class org.apache.commons.math3.complex.ComplexFormat
-
Create an instance with the default imaginary character, 'i', and the default number format for both real and imaginary parts.
- ComplexFormat(String) - Constructor for class org.apache.commons.math3.complex.ComplexFormat
-
Create an instance with a custom imaginary character, and the default number format for both real and imaginary parts.
- ComplexFormat(String, NumberFormat) - Constructor for class org.apache.commons.math3.complex.ComplexFormat
-
Create an instance with a custom imaginary character, and a custom number format for both real and imaginary parts.
- ComplexFormat(String, NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.complex.ComplexFormat
-
Create an instance with a custom imaginary character, a custom number format for the real part, and a custom number format for the imaginary part.
- ComplexFormat(NumberFormat) - Constructor for class org.apache.commons.math3.complex.ComplexFormat
-
Create an instance with a custom number format for both real and imaginary parts.
- ComplexFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.complex.ComplexFormat
-
Create an instance with a custom number format for the real part and a custom number format for the imaginary part.
- complexSolver - Variable in class org.apache.commons.math3.analysis.solvers.LaguerreSolver
-
Complex solver.
- ComplexSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.LaguerreSolver.ComplexSolver
- ComplexUtils - Class in org.apache.commons.math3.complex
-
Static implementations of common
Complex
utilities functions. - ComplexUtils() - Constructor for class org.apache.commons.math3.complex.ComplexUtils
-
Default constructor.
- components - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Deprecated.Double components of the T-uple.
- components - Variable in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Components of the expandable ODE.
- components - Variable in class org.apache.commons.math3.ode.FieldExpandableODE
-
Components of the expandable ODE.
- compose(double...) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Compute composition of the instance by a univariate function.
- compose(double[], int, double[], double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute composition of a derivative structure by a function.
- compose(double, double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Compute composition of the instance by a univariate function.
- compose(DifferentiableUnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
Deprecated.as of 3.1 replaced by
FunctionUtils.compose(UnivariateDifferentiableFunction...)
- compose(UnivariateDifferentiableFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
Composes functions.
- compose(UnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
Composes functions.
- compose(FieldRotation<T>, RotationConvention) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Compose the instance with another rotation.
- compose(Rotation, RotationConvention) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Compose the instance with another rotation.
- compose(Rotation, RotationConvention) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Compose the instance with another rotation.
- composeInternal(FieldRotation<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Compose the instance with another rotation using vector operator convention.
- composeInternal(Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Compose the instance with another rotation using vector operator convention.
- composeInternal(Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Compose the instance with another rotation using vector operator convention.
- composeInverse(FieldRotation<T>, RotationConvention) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Compose the inverse of the instance with another rotation.
- composeInverse(Rotation, RotationConvention) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Compose the inverse of the instance with another rotation.
- composeInverse(Rotation, RotationConvention) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Compose the inverse of the instance with another rotation.
- composeInverseInternal(FieldRotation<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Compose the inverse of the instance with another rotation using vector operator convention.
- composeInverseInternal(Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Compose the inverse of the instance with another rotation using vector operator convention.
- composeInverseInternal(Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Compose the inverse of the instance with another rotation using vector operator convention.
- CompositeFormat - Class in org.apache.commons.math3.util
-
Base class for formatters of composite objects (complex numbers, vectors ...).
- CompositeFormat() - Constructor for class org.apache.commons.math3.util.CompositeFormat
-
Class contains only static methods.
- compute(double[], double[]) - Method in class org.apache.commons.math3.ml.distance.CanberraDistance
-
Compute the distance between two n-dimensional vectors.
- compute(double[], double[]) - Method in class org.apache.commons.math3.ml.distance.ChebyshevDistance
-
Compute the distance between two n-dimensional vectors.
- compute(double[], double[]) - Method in interface org.apache.commons.math3.ml.distance.DistanceMeasure
-
Compute the distance between two n-dimensional vectors.
- compute(double[], double[]) - Method in class org.apache.commons.math3.ml.distance.EarthMoversDistance
-
Compute the distance between two n-dimensional vectors.
- compute(double[], double[]) - Method in class org.apache.commons.math3.ml.distance.EuclideanDistance
-
Compute the distance between two n-dimensional vectors.
- compute(double[], double[]) - Method in class org.apache.commons.math3.ml.distance.ManhattanDistance
-
Compute the distance between two n-dimensional vectors.
- compute(MathArrays.Function) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Performs an operation on the addressable elements of the array.
- computeBinStats() - Method in class org.apache.commons.math3.random.EmpiricalDistribution.ArrayDataAdapter
-
Compute bin stats.
- computeBinStats() - Method in class org.apache.commons.math3.random.EmpiricalDistribution.DataAdapter
-
Compute bin stats.
- computeBinStats() - Method in class org.apache.commons.math3.random.EmpiricalDistribution.StreamDataAdapter
-
Compute bin stats.
- computeCapacity(int) - Static method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Compute the capacity needed for a given size.
- computeCapacity(int) - Static method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Compute the capacity needed for a given size.
- computeCoefficients() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
-
Calculate the coefficients of Lagrange polynomial from the interpolation data.
- computeCoefficients() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
-
Calculate the normal polynomial coefficients given the Newton form.
- computeCoefficients(double[]) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicInterpolatingFunction
-
Compute the spline coefficients from the list of function values and function partial derivatives values at the four corners of a grid element.
- computeCoefficients(int, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
-
Compute the interpolation coefficients for dense output.
- computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math3.stat.correlation.KendallsCorrelation
-
Computes the Kendall's Tau rank correlation matrix for the columns of the input rectangular array.
- computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
-
Computes the correlation matrix for the columns of the input rectangular array.
- computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
-
Computes the Spearman's rank correlation matrix for the columns of the input rectangular array.
- computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.KendallsCorrelation
-
Computes the Kendall's Tau rank correlation matrix for the columns of the input matrix.
- computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
-
Computes the correlation matrix for the columns of the input matrix, using
PearsonsCorrelation.correlation(double[], double[])
. - computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
-
Computes the Spearman's rank correlation matrix for the columns of the input matrix.
- computeCost(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
-
Deprecated.Computes the cost.
- computeCost(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.Computes the cost.
- computeCovarianceMatrix(double[][]) - Method in class org.apache.commons.math3.stat.correlation.Covariance
-
Create a covariance matrix from a rectangular array whose columns represent covariates.
- computeCovarianceMatrix(double[][], boolean) - Method in class org.apache.commons.math3.stat.correlation.Covariance
-
Compute a covariance matrix from a rectangular array whose columns represent covariates.
- computeCovarianceMatrix(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.Covariance
-
Create a covariance matrix from a matrix whose columns represent covariates.
- computeCovarianceMatrix(RealMatrix, boolean) - Method in class org.apache.commons.math3.stat.correlation.Covariance
-
Compute a covariance matrix from a matrix whose columns represent covariates.
- computeCovariances(double[], double) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
-
Deprecated.Get the covariance matrix of the optimized parameters.
- computeCovariances(double[], double) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.Get the covariance matrix of the optimized parameters.
- computeDerivativeObjectiveValue(double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver
-
Deprecated.Compute the objective function value.
- computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Compute the derivatives and check the number of evaluations.
- computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Get the current time derivative of the complete state vector.
- computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math3.ode.FirstOrderConverter
-
Get the current time derivative of the state vector.
- computeDerivatives(double, double[], double[]) - Method in interface org.apache.commons.math3.ode.FirstOrderDifferentialEquations
-
Get the current time derivative of the state vector.
- computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math3.ode.JacobianMatrices.MainStateJacobianWrapper
-
Get the current time derivative of the state vector.
- computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math3.ode.ParameterizedWrapper
-
Get the current time derivative of the state vector of the underlying FODE.
- computeDerivatives(double, double[], double[], double[], double[]) - Method in class org.apache.commons.math3.ode.JacobianMatrices.JacobiansSecondaryEquations
-
Compute the derivatives related to the secondary state parameters.
- computeDerivatives(double, double[], double[], double[], double[]) - Method in interface org.apache.commons.math3.ode.SecondaryEquations
-
Compute the derivatives related to the secondary state parameters.
- computeDerivatives(T, T[]) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Compute the derivatives and check the number of evaluations.
- computeDerivatives(T, T[]) - Method in class org.apache.commons.math3.ode.FieldExpandableODE
-
Get the current time derivative of the complete state vector.
- computeDerivatives(T, T[]) - Method in interface org.apache.commons.math3.ode.FirstOrderFieldDifferentialEquations
-
Get the current time derivative of the state vector.
- computeDerivatives(T, T[], T[], T[]) - Method in interface org.apache.commons.math3.ode.FieldSecondaryEquations
-
Compute the derivatives related to the secondary state parameters.
- computeDistribution() - Method in class org.apache.commons.math3.random.ValueServer
-
Computes the empirical distribution using values from the file in
valuesFileURL
, using the default number of bins. - computeDistribution(int) - Method in class org.apache.commons.math3.random.ValueServer
-
Computes the empirical distribution using values from the file in
valuesFileURL
andbinCount
bins. - computeDividedDifference(double[], double[]) - Static method in class org.apache.commons.math3.analysis.interpolation.DividedDifferenceInterpolator
-
Return a copy of the divided difference array.
- computeExp(Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.DfpField
-
Compute exp(a).
- computeFeatures(double[], double[], double) - Method in class org.apache.commons.math3.ml.neuralnet.sofm.KohonenUpdateAction
-
Computes the new value of the features set.
- computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Compute some geometrical properties.
- computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
-
Compute some geometrical properties.
- computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
-
Compute some geometrical properties.
- computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Compute some geometrical properties.
- computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
-
Compute some geometrical properties.
- computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
-
Compute some geometrical properties.
- computeHessians() - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
-
Lazy evaluation of Hessians.
- computeHitHistogram(Iterable<double[]>, NeuronSquareMesh2D, DistanceMeasure) - Static method in class org.apache.commons.math3.ml.neuralnet.MapUtils
-
Computes the "hit" histogram of a two-dimensional map.
- computeImage(NeuronSquareMesh2D) - Method in interface org.apache.commons.math3.ml.neuralnet.twod.util.MapVisualization
-
Creates an image of the
map
. - computeImage(NeuronSquareMesh2D) - Method in class org.apache.commons.math3.ml.neuralnet.twod.util.UnifiedDistanceMatrix
-
Creates an image of the
map
. - computeImage(NeuronSquareMesh2D, Iterable<double[]>) - Method in class org.apache.commons.math3.ml.neuralnet.twod.util.HitHistogram
-
Creates an image of the
data
metrics when represented by themap
. - computeImage(NeuronSquareMesh2D, Iterable<double[]>) - Method in interface org.apache.commons.math3.ml.neuralnet.twod.util.MapDataVisualization
-
Creates an image of the
data
metrics when represented by themap
. - computeImage(NeuronSquareMesh2D, Iterable<double[]>) - Method in class org.apache.commons.math3.ml.neuralnet.twod.util.QuantizationError
-
Creates an image of the
data
metrics when represented by themap
. - computeImage(NeuronSquareMesh2D, Iterable<double[]>) - Method in class org.apache.commons.math3.ml.neuralnet.twod.util.SmoothedDataHistogram
-
Creates an image of the
data
metrics when represented by themap
. - computeImage(NeuronSquareMesh2D, Iterable<double[]>) - Method in class org.apache.commons.math3.ml.neuralnet.twod.util.TopographicErrorHistogram
-
Creates an image of the
data
metrics when represented by themap
. - computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaStepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.nonstiff.EulerStepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.nonstiff.GillStepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54StepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.nonstiff.LutherStepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.nonstiff.MidpointStepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.nonstiff.ThreeEighthesStepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeInterpolatedStateAndDerivatives(FieldEquationsMapper<T>, T, T, T, T) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsFieldStepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeInterpolatedStateAndDerivatives(FieldEquationsMapper<T>, T, T, T, T) - Method in class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaFieldStepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeInterpolatedStateAndDerivatives(FieldEquationsMapper<T>, T, T, T, T) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldStepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeInterpolatedStateAndDerivatives(FieldEquationsMapper<T>, T, T, T, T) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldStepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeInterpolatedStateAndDerivatives(FieldEquationsMapper<T>, T, T, T, T) - Method in class org.apache.commons.math3.ode.nonstiff.EulerFieldStepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeInterpolatedStateAndDerivatives(FieldEquationsMapper<T>, T, T, T, T) - Method in class org.apache.commons.math3.ode.nonstiff.GillFieldStepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeInterpolatedStateAndDerivatives(FieldEquationsMapper<T>, T, T, T, T) - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54FieldStepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeInterpolatedStateAndDerivatives(FieldEquationsMapper<T>, T, T, T, T) - Method in class org.apache.commons.math3.ode.nonstiff.LutherFieldStepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeInterpolatedStateAndDerivatives(FieldEquationsMapper<T>, T, T, T, T) - Method in class org.apache.commons.math3.ode.nonstiff.MidpointFieldStepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeInterpolatedStateAndDerivatives(FieldEquationsMapper<T>, T, T, T, T) - Method in class org.apache.commons.math3.ode.nonstiff.ThreeEighthesFieldStepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeInterpolatedStateAndDerivatives(FieldEquationsMapper<T>, T, T, T, T) - Method in class org.apache.commons.math3.ode.sampling.AbstractFieldStepInterpolator
-
Compute the state and derivatives at the interpolated time.
- computeJacobian() - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
-
Lazy evaluation of (r, θ, φ) Jacobian.
- computeJacobian(double[]) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory.LocalValueAndJacobianFunction
-
Compute the Jacobian.
- computeJacobian(double[]) - Method in interface org.apache.commons.math3.fitting.leastsquares.ValueAndJacobianFunction
-
Compute the Jacobian.
- computeJacobian(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.JacobianMultivariateVectorOptimizer
-
Deprecated.Computes the Jacobian matrix.
- computeKey(int, int) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Compute the key to access a matrix element
- computeKey(int, int) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
-
Compute the key to access a matrix element.
- computeLn(Dfp, Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.DfpField
-
Compute ln(a).
- computeLSB(long) - Static method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Deprecated.Compute the least significant bit of a long.
- computeMainStateJacobian(double, double[], double[], double[][]) - Method in class org.apache.commons.math3.ode.JacobianMatrices.MainStateJacobianWrapper
-
Compute the jacobian matrix of ODE with respect to main state.
- computeMainStateJacobian(double, double[], double[], double[][]) - Method in interface org.apache.commons.math3.ode.MainStateJacobianProvider
-
Compute the jacobian matrix of ODE with respect to main state.
- computeMSB(long) - Static method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Deprecated.Compute the most significant bit of a long.
- computeNormalMatrix(RealMatrix, RealVector) - Static method in class org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer
-
Compute the normal matrix, JTJ.
- computeObjectiveGradient(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.GradientMultivariateOptimizer
-
Compute the gradient vector.
- computeObjectiveGradient(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractDifferentiableOptimizer
-
Deprecated.Compute the gradient vector.
- computeObjectiveGradient(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer
-
Deprecated.Compute the gradient vector.
- computeObjectiveValue(double) - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Compute the objective function value.
- computeObjectiveValue(double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Compute the objective function value.
- computeObjectiveValue(double) - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
-
Computes the objective function value.
- computeObjectiveValue(double) - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.Compute the objective function value.
- computeObjectiveValue(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
-
Computes the objective function value.
- computeObjectiveValue(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
-
Deprecated.Computes the objective function value.
- computeObjectiveValue(double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.Compute the objective function value.
- computeObjectiveValue(double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.Compute the objective function value.
- computeObjectiveValueAndDerivative(double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractUnivariateDifferentiableSolver
-
Compute the objective function value.
- computeParameterJacobian(double, double[], double[], String, double[]) - Method in interface org.apache.commons.math3.ode.ParameterJacobianProvider
-
Compute the Jacobian matrix of ODE with respect to one parameter.
- computeParameterJacobian(double, double[], double[], String, double[]) - Method in class org.apache.commons.math3.ode.ParameterJacobianWrapper
-
Compute the Jacobian matrix of ODE with respect to one parameter.
- computePi(Dfp, Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.DfpField
-
Compute π using Jonathan and Peter Borwein quartic formula.
- computeQuantizationError(Iterable<double[]>, Iterable<Neuron>, DistanceMeasure) - Static method in class org.apache.commons.math3.ml.neuralnet.MapUtils
-
Computes the quantization error.
- computeResiduals(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
-
Deprecated.Computes the residuals.
- computeResiduals(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.Computes the residuals.
- computeRoots(int) - Method in class org.apache.commons.math3.complex.RootsOfUnity
-
Computes the
n
-th roots of unity. - computeRule(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
-
Computes the rule for the given order.
- computeRule(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.HermiteRuleFactory
-
Computes the rule for the given order.
- computeRule(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.LegendreHighPrecisionRuleFactory
-
Computes the rule for the given order.
- computeRule(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.LegendreRuleFactory
-
Computes the rule for the given order.
- computeSecondDerivatives(double, double[], double[], double[]) - Method in interface org.apache.commons.math3.ode.SecondOrderDifferentialEquations
-
Get the current time derivative of the state vector.
- computeShift(int, int, int, SchurTransformer.ShiftInfo) - Method in class org.apache.commons.math3.linear.SchurTransformer
-
Compute the shift for the current iteration.
- computeSigma(double[], double) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
-
Deprecated.Computes an estimate of the standard deviation of the parameters.
- computeSigma(double[], double) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.Computes an estimate of the standard deviation of the parameters.
- computeSplineCoefficients(double[]) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicInterpolatingFunction
-
Compute the spline coefficients from the list of function values and function partial derivatives values at the four corners of a grid element.
- computeSplineCoefficients(double[]) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
-
Deprecated.Compute the spline coefficients from the list of function values and function partial derivatives values at the four corners of a grid element.
- computeSplineCoefficients(double[]) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolatingFunction
-
Deprecated.Compute the spline coefficients from the list of function values and function partial derivatives values at the four corners of a grid element.
- computeStats() - Method in class org.apache.commons.math3.random.EmpiricalDistribution.ArrayDataAdapter
-
Compute sample statistics.
- computeStats() - Method in class org.apache.commons.math3.random.EmpiricalDistribution.DataAdapter
-
Compute sample statistics.
- computeStats() - Method in class org.apache.commons.math3.random.EmpiricalDistribution.StreamDataAdapter
-
Compute sample statistics.
- computeStepGrowShrinkFactor(double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
-
Compute step grow/shrink factor according to normalized error.
- computeStepGrowShrinkFactor(T) - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator
-
Compute step grow/shrink factor according to normalized error.
- computeStringConstants(int) - Static method in class org.apache.commons.math3.dfp.DfpField
-
Recompute the high precision string constants.
- computeTopographicError(Iterable<double[]>, Network, DistanceMeasure) - Static method in class org.apache.commons.math3.ml.neuralnet.MapUtils
-
Computes the topographic error.
- computeU(NeuronSquareMesh2D, DistanceMeasure) - Static method in class org.apache.commons.math3.ml.neuralnet.MapUtils
-
Computes the U-matrix of a two-dimensional map.
- computeUpToDegree(int, int, PolynomialsUtils.RecurrenceCoefficientsGenerator, List<BigFraction>) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
-
Compute polynomial coefficients up to a given degree.
- computeValue(double[]) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory.LocalValueAndJacobianFunction
-
Compute the value.
- computeValue(double[]) - Method in interface org.apache.commons.math3.fitting.leastsquares.ValueAndJacobianFunction
-
Compute the value.
- computeWeightedJacobian(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
-
Deprecated.Computes the weighted Jacobian matrix.
- computeWeightedJacobian(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.Computes the Jacobian matrix.
- concatenate(double[]...) - Static method in class org.apache.commons.math3.util.MathArrays
-
Concatenates a sequence of arrays.
- concatenateSamples(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.MannWhitneyUTest
-
Concatenate the samples into one array.
- condense() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Perform condensation on a tree.
- ConfidenceInterval - Class in org.apache.commons.math3.stat.interval
-
Represents an interval estimate of a population parameter.
- ConfidenceInterval(double, double, double) - Constructor for class org.apache.commons.math3.stat.interval.ConfidenceInterval
-
Create a confidence interval with the given bounds and confidence level.
- confidenceLevel - Variable in class org.apache.commons.math3.stat.interval.ConfidenceInterval
-
The asserted probability that the interval contains the population parameter
- conjugate() - Method in class org.apache.commons.math3.complex.Complex
-
Returns the conjugate of this complex number.
- ConjugateGradient - Class in org.apache.commons.math3.linear
-
This is an implementation of the conjugate gradient method for
RealLinearOperator
. - ConjugateGradient(int, double, boolean) - Constructor for class org.apache.commons.math3.linear.ConjugateGradient
-
Creates a new instance of this class, with default stopping criterion.
- ConjugateGradient(IterationManager, double, boolean) - Constructor for class org.apache.commons.math3.linear.ConjugateGradient
-
Creates a new instance of this class, with default stopping criterion and custom iteration manager.
- ConjugateGradientFormula - Enum in org.apache.commons.math3.optimization.general
-
Deprecated.As of 3.1 (to be removed in 4.0).
- ConjugateGradientFormula() - Constructor for enum org.apache.commons.math3.optimization.general.ConjugateGradientFormula
-
Deprecated.
- ConnectableSegment(Vector2D, Vector2D, Line, BSPTree<Euclidean2D>, BSPTree<Euclidean2D>, BSPTree<Euclidean2D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.ConnectableSegment
-
Build a segment.
- Constant - Class in org.apache.commons.math3.analysis.function
-
Constant function.
- Constant(double) - Constructor for class org.apache.commons.math3.analysis.function.Constant
- CONSTANT_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
-
Always return mu
- ConstantRealDistribution - Class in org.apache.commons.math3.distribution
-
Implementation of the constant real distribution.
- ConstantRealDistribution(double) - Constructor for class org.apache.commons.math3.distribution.ConstantRealDistribution
-
Create a constant real distribution with the given value.
- constantTerm - Variable in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
-
Constant term of the linear equation.
- constantTerm - Variable in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
-
Deprecated.Constant term of the linear equation.
- CONSTRAINT - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- constraints - Variable in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Linear constraints.
- constraints - Variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Linear constraints.
- contains(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Check if the instance contains a point.
- contains(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Check if the instance contains a point.
- contains(Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Check if the line contains a point.
- contains(Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Check if the instance entirely contains another region.
- contains(Region<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
-
Check if the instance entirely contains another region.
- contains(P) - Method in class org.apache.commons.math3.geometry.enclosing.EnclosingBall
-
Check if a point is within the ball or at boundary.
- contains(P, double) - Method in class org.apache.commons.math3.geometry.enclosing.EnclosingBall
-
Check if a point is within an enlarged ball or at boundary.
- containSameValues(double[], double[]) - Method in class org.apache.commons.math3.ml.neuralnet.Neuron
-
Checks whether the contents of both arrays is the same.
- containsClass(Class<?>) - Method in class org.apache.commons.math3.util.TransformerMap
-
Tests if a Class is present in the TransformerMap.
- containsConstant - Variable in class org.apache.commons.math3.stat.regression.RegressionResults
-
boolean flag indicator of whether a constant was included
- containsKey(int) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Check if a value is associated with a key.
- containsKey(int) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Check if a value is associated with a key.
- containsKey(int, int) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Check if the tables contain an element associated with specified key at specified index.
- containsKey(int, int) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Check if the tables contain an element associated with specified key at specified index.
- containsNaNs(NaturalRanking.IntDoublePair[]) - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Checks for presence of NaNs in
ranks.
- containsTransformer(NumberTransformer) - Method in class org.apache.commons.math3.util.TransformerMap
-
Tests if a NumberTransformer is present in the TransformerMap.
- context - Variable in exception class org.apache.commons.math3.exception.MathArithmeticException
-
Context.
- context - Variable in exception class org.apache.commons.math3.exception.MathIllegalArgumentException
-
Context.
- context - Variable in exception class org.apache.commons.math3.exception.MathIllegalStateException
-
Context.
- context - Variable in exception class org.apache.commons.math3.exception.MathRuntimeException
-
Context.
- context - Variable in exception class org.apache.commons.math3.exception.MathUnsupportedOperationException
-
Context.
- context - Variable in class org.apache.commons.math3.exception.util.ExceptionContext
-
Arbitrary context information.
- CONTINUE - Enum constant in enum org.apache.commons.math3.ode.events.Action
-
Continue indicator.
- CONTINUE - Enum constant in enum org.apache.commons.math3.ode.events.EventHandler.Action
-
Continue indicator.
- CONTINUED_FRACTION_INFINITY_DIVERGENCE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- CONTINUED_FRACTION_NAN_DIVERGENCE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- ContinuedFraction - Class in org.apache.commons.math3.util
-
Provides a generic means to evaluate continued fractions.
- ContinuedFraction() - Constructor for class org.apache.commons.math3.util.ContinuedFraction
-
Default constructor.
- ContinuousOutputFieldModel<T> - Class in org.apache.commons.math3.ode
-
This class stores all information provided by an ODE integrator during the integration process and build a continuous model of the solution from this.
- ContinuousOutputFieldModel() - Constructor for class org.apache.commons.math3.ode.ContinuousOutputFieldModel
-
Simple constructor.
- ContinuousOutputModel - Class in org.apache.commons.math3.ode
-
This class stores all information provided by an ODE integrator during the integration process and build a continuous model of the solution from this.
- ContinuousOutputModel() - Constructor for class org.apache.commons.math3.ode.ContinuousOutputModel
-
Simple constructor.
- contract() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Contracts the storage array to the (size of the element set) + 1 - to avoid a zero length array.
- CONTRACTION_CRITERIA_SMALLER_THAN_EXPANSION_FACTOR - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- CONTRACTION_CRITERIA_SMALLER_THAN_ONE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- contractionCriterion - Variable in class org.apache.commons.math3.util.ResizableDoubleArray
-
The contraction criteria determines when the internal array will be contracted to fit the number of elements contained in the element array + 1.
- controlMatrix - Variable in class org.apache.commons.math3.filter.DefaultProcessModel
-
The control matrix, used to integrate a control input into the state estimation.
- controlMatrix - Variable in class org.apache.commons.math3.filter.KalmanFilter
-
The control matrix, equivalent to B.
- converged(int, LeastSquaresProblem.Evaluation, LeastSquaresProblem.Evaluation) - Method in class org.apache.commons.math3.fitting.leastsquares.EvaluationRmsChecker
-
Check if the optimization algorithm has converged.
- converged(int, PointValuePair, PointValuePair) - Method in class org.apache.commons.math3.optim.SimpleValueChecker
-
Check if the optimization algorithm has converged considering the last two points.
- converged(int, PointVectorValuePair, PointVectorValuePair) - Method in class org.apache.commons.math3.optim.SimpleVectorValueChecker
-
Check if the optimization algorithm has converged considering the last two points.
- converged(int, UnivariatePointValuePair, UnivariatePointValuePair) - Method in class org.apache.commons.math3.optim.univariate.SimpleUnivariateValueChecker
-
Check if the optimization algorithm has converged considering the last two points.
- converged(int, PointValuePair, PointValuePair) - Method in class org.apache.commons.math3.optimization.SimpleValueChecker
-
Deprecated.Check if the optimization algorithm has converged considering the last two points.
- converged(int, PointVectorValuePair, PointVectorValuePair) - Method in class org.apache.commons.math3.optimization.SimpleVectorValueChecker
-
Deprecated.Check if the optimization algorithm has converged considering the last two points.
- converged(int, UnivariatePointValuePair, UnivariatePointValuePair) - Method in class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker
-
Deprecated.Check if the optimization algorithm has converged considering the last two points.
- converged(int, PAIR, PAIR) - Method in class org.apache.commons.math3.optim.AbstractConvergenceChecker
-
Check if the optimization algorithm has converged.
- converged(int, PAIR, PAIR) - Method in interface org.apache.commons.math3.optim.ConvergenceChecker
-
Check if the optimization algorithm has converged.
- converged(int, PAIR, PAIR) - Method in class org.apache.commons.math3.optim.SimplePointChecker
-
Check if the optimization algorithm has converged considering the last two points.
- converged(int, PAIR, PAIR) - Method in class org.apache.commons.math3.optimization.AbstractConvergenceChecker
-
Deprecated.Check if the optimization algorithm has converged.
- converged(int, PAIR, PAIR) - Method in interface org.apache.commons.math3.optimization.ConvergenceChecker
-
Deprecated.Check if the optimization algorithm has converged.
- converged(int, PAIR, PAIR) - Method in class org.apache.commons.math3.optimization.SimplePointChecker
-
Deprecated.Check if the optimization algorithm has converged considering the last two points.
- convergence - Variable in class org.apache.commons.math3.ode.events.EventState
-
Convergence threshold for event localization.
- convergence - Variable in class org.apache.commons.math3.ode.events.FieldEventState
-
Convergence threshold for event localization.
- CONVERGENCE_FAILED - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- ConvergenceChecker<PAIR> - Interface in org.apache.commons.math3.optim
-
This interface specifies how to check if an optimization algorithm has converged.
- ConvergenceChecker<PAIR> - Interface in org.apache.commons.math3.optimization
-
Deprecated.As of 3.1 (to be removed in 4.0).
- ConvergenceException - Exception Class in org.apache.commons.math3.exception
-
Error thrown when a numerical computation can not be performed because the numerical result failed to converge to a finite value.
- ConvergenceException() - Constructor for exception class org.apache.commons.math3.exception.ConvergenceException
-
Construct the exception.
- ConvergenceException(Localizable, Object...) - Constructor for exception class org.apache.commons.math3.exception.ConvergenceException
-
Construct the exception with a specific context and arguments.
- convertIndex(int, int, int[][], int, int, int[][]) - Static method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Convert an index from one (parameters, order) structure to another.
- convertToComplex(double[]) - Static method in class org.apache.commons.math3.complex.ComplexUtils
-
Convert an array of primitive doubles to an array of
Complex
objects. - convertToDouble(Pair<T[], T[]>) - Static method in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
-
Converts the from the actual
Number
type todouble
- convertToLong(int[]) - Static method in class org.apache.commons.math3.random.RandomGeneratorFactory
-
Converts seed from one representation to another.
- convexCellArea(Vertex) - Method in class org.apache.commons.math3.geometry.spherical.twod.PropertiesComputer
-
Compute convex cell area.
- convexCellBarycenter(Vertex) - Method in class org.apache.commons.math3.geometry.spherical.twod.PropertiesComputer
-
Compute convex cell barycenter.
- convexCellsInsidePoints - Variable in class org.apache.commons.math3.geometry.spherical.twod.PropertiesComputer
-
List of points strictly inside convex cells.
- ConvexHull<S,
P> - Interface in org.apache.commons.math3.geometry.hull -
This class represents a convex hull.
- ConvexHull2D - Class in org.apache.commons.math3.geometry.euclidean.twod.hull
-
This class represents a convex hull in an two-dimensional euclidean space.
- ConvexHull2D(Vector2D[], double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.hull.ConvexHull2D
-
Simple constructor.
- ConvexHullGenerator<S,
P> - Interface in org.apache.commons.math3.geometry.hull -
Interface for convex hull generators.
- ConvexHullGenerator2D - Interface in org.apache.commons.math3.geometry.euclidean.twod.hull
-
Interface for convex hull generators in the two-dimensional euclidean space.
- convolve(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Calculates the convolution between two sequences.
- copy() - Method in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere
-
Perform a copy.
- copy() - Method in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere2D
-
Perform a copy.
- copy() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Make a (deep) copy of this.
- copy() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns a (deep) copy of this.
- copy() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Make a (deep) copy of this.
- copy() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Returns a (deep) copy of this.
- copy() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Returns a (deep) copy of this.
- copy() - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Returns a (deep) copy of this vector.
- copy() - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Make a (deep) copy of this.
- copy() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Returns a (deep) copy of this.
- copy() - Method in class org.apache.commons.math3.linear.DiagonalMatrix
-
Returns a (deep) copy of this.
- copy() - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Make a (deep) copy of this.
- copy() - Method in interface org.apache.commons.math3.linear.FieldVector
-
Returns a (deep) copy of this.
- copy() - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Returns a (deep) copy of this.
- copy() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Returns a (deep) copy of this vector.
- copy() - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Returns a (deep) copy of this.
- copy() - Method in class org.apache.commons.math3.linear.RealVector
-
Returns a (deep) copy of this vector.
- copy() - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
-
Make a (deep) copy of this.
- copy() - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Returns a (deep) copy of this.
- copy() - Method in class org.apache.commons.math3.ml.neuralnet.Network
-
Performs a deep copy of this instance.
- copy() - Method in class org.apache.commons.math3.ml.neuralnet.Neuron
-
Performs a deep copy of this instance.
- copy() - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
-
Performs a deep copy of this instance.
- copy() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Copy the instance.
- copy() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
-
Copy the instance.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
-
Returns a copy of the statistic with the same internal state.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
-
Returns a copy of the statistic with the same internal state.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns a copy of this DescriptiveStatistics instance with the same internal state.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
-
Returns a copy of the statistic with the same internal state.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.FourthMoment
-
Returns a copy of the statistic with the same internal state.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
-
Returns a copy of the statistic with the same internal state.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
-
Returns a copy of the statistic with the same internal state.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
-
Returns a copy of the statistic with the same internal state.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
-
Returns a copy of the statistic with the same internal state.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Returns a copy of the statistic with the same internal state.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
-
Returns a copy of the statistic with the same internal state.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Returns a copy of the statistic with the same internal state.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.ThirdMoment
-
Returns a copy of the statistic with the same internal state.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Returns a copy of the statistic with the same internal state.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
-
Returns a copy of the statistic with the same internal state.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
-
Returns a copy of the statistic with the same internal state.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Returns a copy of the statistic with the same internal state.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
-
Returns a copy of the statistic with the same internal state.
- copy() - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
-
Returns a copy of the statistic with the same internal state.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
-
Returns a copy of the statistic with the same internal state.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
-
Returns a copy of the statistic with the same internal state.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
-
Returns a copy of the statistic with the same internal state.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
-
Returns a copy of the statistic with the same internal state.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns a copy of this SummaryStatistics instance with the same internal state.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
-
Returns a copy of this SynchronizedDescriptiveStatistics instance with the same internal state.
- copy() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns a copy of this SynchronizedSummaryStatistics instance with the same internal state.
- copy() - Method in interface org.apache.commons.math3.stat.descriptive.UnivariateStatistic
-
Returns a copy of the statistic with the same internal state.
- copy() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Returns a copy of the ResizableDoubleArray.
- copy(Field<T>, T[][]) - Method in class org.apache.commons.math3.ode.FieldODEState
-
Copy a two-dimensions array.
- copy(DescriptiveStatistics, DescriptiveStatistics) - Static method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Copies source to dest.
- copy(FirstMoment, FirstMoment) - Static method in class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
-
Copies source to dest.
- copy(FourthMoment, FourthMoment) - Static method in class org.apache.commons.math3.stat.descriptive.moment.FourthMoment
-
Copies source to dest.
- copy(GeometricMean, GeometricMean) - Static method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
-
Copies source to dest.
- copy(Kurtosis, Kurtosis) - Static method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
-
Copies source to dest.
- copy(Mean, Mean) - Static method in class org.apache.commons.math3.stat.descriptive.moment.Mean
-
Copies source to dest.
- copy(SecondMoment, SecondMoment) - Static method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
-
Copies source to dest.
- copy(SemiVariance, SemiVariance) - Static method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Copies source to dest.
- copy(Skewness, Skewness) - Static method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
-
Copies source to dest.
- copy(StandardDeviation, StandardDeviation) - Static method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Copies source to dest.
- copy(ThirdMoment, ThirdMoment) - Static method in class org.apache.commons.math3.stat.descriptive.moment.ThirdMoment
-
Copies source to dest.
- copy(Variance, Variance) - Static method in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Copies source to dest.
- copy(Max, Max) - Static method in class org.apache.commons.math3.stat.descriptive.rank.Max
-
Copies source to dest.
- copy(Min, Min) - Static method in class org.apache.commons.math3.stat.descriptive.rank.Min
-
Copies source to dest.
- copy(Percentile, Percentile) - Static method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Deprecated.as of 3.4 this method does not work anymore, as it fails to copy internal states between instances configured with different
estimation type
,NaN handling strategies
andkthSelector
, it therefore always throwMathUnsupportedOperationException
- copy(Product, Product) - Static method in class org.apache.commons.math3.stat.descriptive.summary.Product
-
Copies source to dest.
- copy(SumOfLogs, SumOfLogs) - Static method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
-
Copies source to dest.
- copy(SumOfSquares, SumOfSquares) - Static method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
-
Copies source to dest.
- copy(Sum, Sum) - Static method in class org.apache.commons.math3.stat.descriptive.summary.Sum
-
Copies source to dest.
- copy(SummaryStatistics, SummaryStatistics) - Static method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Copies source to dest.
- copy(SynchronizedDescriptiveStatistics, SynchronizedDescriptiveStatistics) - Static method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
-
Copies source to dest.
- copy(SynchronizedSummaryStatistics, SynchronizedSummaryStatistics) - Static method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Copies source to dest.
- copy(ResizableDoubleArray, ResizableDoubleArray) - Static method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Copies source to dest, copying the underlying data, so dest is a new, independent copy of source.
- copyArray(double[], double[]) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
- copyArray(double[], double[]) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
- copyBlockPart(double[], int, int, int, int, int, double[], int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Copy a part of a block into another one
- copyBlockPart(T[], int, int, int, int, int, T[], int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Copy a part of a block into another one
- copyColumn(RealMatrix, int, RealMatrix, int) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Copies a column from m1 to m2.
- copyColumn(RealMatrix, int, RealMatrix, int) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Copies a column from m1 to m2.
- copyIn(double[][]) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Replace data with a fresh copy of the input array.
- copyIn(T[][]) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Replace data with a fresh copy of the input array.
- copyOf(double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Creates a copy of the
source
array. - copyOf(double[], int) - Static method in class org.apache.commons.math3.util.MathArrays
-
Creates a copy of the
source
array. - copyOf(double[], int, int) - Static method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Make a copy of the array for the slice defined by array part from [begin, begin+length)
- copyOf(int[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Creates a copy of the
source
array. - copyOf(int[], int) - Static method in class org.apache.commons.math3.util.MathArrays
-
Creates a copy of the
source
array. - copyOfRange(double[], int, int) - Static method in class org.apache.commons.math3.util.MathArrays
-
Creates a copy of the
source
array. - copyOut() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Get a fresh copy of the underlying data array.
- copyOut() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Get a fresh copy of the underlying data array.
- copySelf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
-
Copy the instance.
- copySelf() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Copy the instance.
- copySelf() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Copy the instance.
- copySelf() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Copy the instance.
- copySelf() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
-
Copy the instance.
- copySelf() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Copy the instance.
- copySelf() - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
-
Copy the instance.
- copySelf() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
-
Copy the instance.
- copySelf() - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
-
Copy the instance.
- copySelf() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
-
Copy the instance.
- copySelf() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
-
Copy the instance.
- copysign(Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.Dfp
-
Creates an instance that is the same as x except that it has the sign of y.
- copySign(byte, byte) - Static method in class org.apache.commons.math3.util.MathUtils
-
Returns the first argument with the sign of the second argument.
- copySign(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Returns the instance with the sign of the argument.
- copySign(double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Returns the instance with the sign of the argument.
- copySign(double) - Method in class org.apache.commons.math3.dfp.Dfp
-
Returns the instance with the sign of the argument.
- copySign(double) - Method in interface org.apache.commons.math3.RealFieldElement
-
Returns the instance with the sign of the argument.
- copySign(double) - Method in class org.apache.commons.math3.util.Decimal64
-
Returns the instance with the sign of the argument.
- copySign(double, double) - Static method in class org.apache.commons.math3.util.FastMath
-
Returns the first argument with the sign of the second argument.
- copySign(float, float) - Static method in class org.apache.commons.math3.util.FastMath
-
Returns the first argument with the sign of the second argument.
- copySign(int, int) - Static method in class org.apache.commons.math3.util.MathUtils
-
Returns the first argument with the sign of the second argument.
- copySign(long, long) - Static method in class org.apache.commons.math3.util.MathUtils
-
Returns the first argument with the sign of the second argument.
- copySign(short, short) - Static method in class org.apache.commons.math3.util.MathUtils
-
Returns the first argument with the sign of the second argument.
- copySign(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Returns the instance with the sign of the argument.
- copySign(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Returns the instance with the sign of the argument.
- copySign(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
-
Returns the instance with the sign of the argument.
- copySign(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
-
Returns the instance with the sign of the argument.
- copySign(T) - Method in interface org.apache.commons.math3.RealFieldElement
-
Returns the instance with the sign of the argument.
- copySubMatrix(int[], int[], double[][]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Copy a submatrix.
- copySubMatrix(int[], int[], double[][]) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Copy a submatrix.
- copySubMatrix(int[], int[], T[][]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Copy a submatrix.
- copySubMatrix(int[], int[], T[][]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Copy a submatrix.
- copySubMatrix(int, int, int, int, double[][]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Copy a submatrix.
- copySubMatrix(int, int, int, int, double[][]) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Copy a submatrix.
- copySubMatrix(int, int, int, int, T[][]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Copy a submatrix.
- copySubMatrix(int, int, int, int, T[][]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Copy a submatrix.
- correct(double[]) - Method in class org.apache.commons.math3.filter.KalmanFilter
-
Correct the current state estimate with an actual measurement.
- correct(RealVector) - Method in class org.apache.commons.math3.filter.KalmanFilter
-
Correct the current state estimate with an actual measurement.
- Corrector(double[], double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator.Corrector
-
Simple constructor.
- Corrector(T[], T[], T[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsMoultonFieldIntegrator.Corrector
-
Simple constructor.
- correctOrientation() - Method in class org.apache.commons.math3.geometry.euclidean.twod.NestedLoops
-
Correct the orientation of the loops contained in the tree.
- CorrelatedRandomVectorGenerator - Class in org.apache.commons.math3.random
-
A
RandomVectorGenerator
that generates vectors with with correlated components. - CorrelatedRandomVectorGenerator(double[], RealMatrix, double, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
-
Builds a correlated random vector generator from its mean vector and covariance matrix.
- CorrelatedRandomVectorGenerator(RealMatrix, double, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
-
Builds a null mean random correlated vector generator from its covariance matrix.
- correlation(double[], double[]) - Method in class org.apache.commons.math3.stat.correlation.KendallsCorrelation
-
Computes the Kendall's Tau rank correlation coefficient between the two arrays.
- correlation(double[], double[]) - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
-
Computes the Pearson's product-moment correlation coefficient between two arrays.
- correlation(double[], double[]) - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
-
Computes the Spearman's rank correlation coefficient between the two arrays.
- correlationMatrix - Variable in class org.apache.commons.math3.stat.correlation.KendallsCorrelation
-
correlation matrix
- correlationMatrix - Variable in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
-
correlation matrix
- cos - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Cosine of the line angle.
- cos() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Cosine operation.
- cos() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Cosine operation.
- cos() - Method in class org.apache.commons.math3.complex.Complex
-
Compute the cosine of this complex number.
- cos() - Method in class org.apache.commons.math3.dfp.Dfp
-
Cosine operation.
- cos() - Method in interface org.apache.commons.math3.RealFieldElement
-
Cosine operation.
- cos() - Method in class org.apache.commons.math3.util.Decimal64
-
Cosine operation.
- cos(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Cosine function.
- cos(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute cosine of a derivative structure.
- cos(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
computes the cosine of the argument.
- Cos - Class in org.apache.commons.math3.analysis.function
-
Cosine function.
- Cos() - Constructor for class org.apache.commons.math3.analysis.function.Cos
- cosAngle(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Calculates the cosine of the angle between two vectors.
- cosAngle(RealVector, RealVector) - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction
-
Deprecated.Compute the cosine of the angle between 2 vectors.
- cosh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Hyperbolic cosine operation.
- cosh() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Hyperbolic cosine operation.
- cosh() - Method in class org.apache.commons.math3.complex.Complex
-
Compute the hyperbolic cosine of this complex number.
- cosh() - Method in class org.apache.commons.math3.dfp.Dfp
-
Hyperbolic cosine operation.
- cosh() - Method in interface org.apache.commons.math3.RealFieldElement
-
Hyperbolic cosine operation.
- cosh() - Method in class org.apache.commons.math3.util.Decimal64
-
Hyperbolic cosine operation.
- cosh(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the hyperbolic cosine of a number.
- cosh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute hyperbolic cosine of a derivative structure.
- Cosh - Class in org.apache.commons.math3.analysis.function
-
Hyperbolic cosine function.
- Cosh() - Constructor for class org.apache.commons.math3.analysis.function.Cosh
- cosine(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
-
Computes the cosine of the angle between this vector and the argument.
- COSINE_TABLE_A - Static variable in class org.apache.commons.math3.util.FastMath
-
Cosine table (high bits).
- COSINE_TABLE_B - Static variable in class org.apache.commons.math3.util.FastMath
-
Cosine table (low bits).
- cosInternal(Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
Computes cos(a) Used when 0 invalid input: '<' a invalid input: '<' pi/4.
- cosQ(double, double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute cosine in the first quadrant by subtracting input from PI/2 and then calling sinQ.
- cost - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
-
Deprecated.Cost value (square root of the sum of the residuals).
- cost - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.As of 3.1. Field to become "private" in 4.0. Please use
AbstractLeastSquaresOptimizer.setCost(double)
. - costPerStep - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
overall cost of applying step reduction up to iteration k+1, in number of calls.
- costPerTimeUnit - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
cost per unit step.
- costRelativeTolerance - Variable in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
-
Desired relative error in the sum of squares.
- costRelativeTolerance - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Deprecated.Desired relative error in the sum of squares.
- costRelativeTolerance - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.Desired relative error in the sum of squares.
- count - Variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
The iteration count.
- count - Variable in class org.apache.commons.math3.ode.MultistepFieldIntegrator.FieldNordsieckInitializer
-
Steps counter.
- count - Variable in class org.apache.commons.math3.ode.MultistepIntegrator.NordsieckInitializer
-
Steps counter.
- count - Variable in class org.apache.commons.math3.random.HaltonSequenceGenerator
-
The current index in the sequence.
- count - Variable in class org.apache.commons.math3.random.ISAACRandom
-
Count through the results in rsl[]
- count - Variable in class org.apache.commons.math3.random.SobolSequenceGenerator
-
The current index in the sequence.
- count - Variable in class org.apache.commons.math3.util.Incrementor
-
Deprecated.Current count.
- count - Variable in class org.apache.commons.math3.util.IntegerSequence.Incrementor
-
Current count.
- count - Variable in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
-
Unidimensional counter.
- count - Variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Modifications count.
- count - Variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Modifications count.
- counter - Variable in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
-
Multidimensional counter.
- countEvaluations(LeastSquaresProblem, Incrementor) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
-
Count the evaluations of a particular problem.
- countOfObservations - Variable in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
-
Counter to count the values/observations accepted into this data set
- cov(int) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
Calculates the cov matrix assuming only the first nreq variables are included in the calculation.
- covariance(double[], double[]) - Method in class org.apache.commons.math3.stat.correlation.Covariance
-
Computes the covariance between the two arrays, using the bias-corrected formula.
- covariance(double[], double[], boolean) - Method in class org.apache.commons.math3.stat.correlation.Covariance
-
Computes the covariance between the two arrays.
- Covariance - Class in org.apache.commons.math3.stat.correlation
-
Computes covariances for pairs of arrays or columns of a matrix.
- Covariance() - Constructor for class org.apache.commons.math3.stat.correlation.Covariance
-
Create a Covariance with no data
- Covariance(double[][]) - Constructor for class org.apache.commons.math3.stat.correlation.Covariance
-
Create a Covariance matrix from a rectangular array whose columns represent covariates.
- Covariance(double[][], boolean) - Constructor for class org.apache.commons.math3.stat.correlation.Covariance
-
Create a Covariance matrix from a rectangular array whose columns represent covariates.
- Covariance(RealMatrix) - Constructor for class org.apache.commons.math3.stat.correlation.Covariance
-
Create a covariance matrix from a matrix whose columns represent covariates.
- Covariance(RealMatrix, boolean) - Constructor for class org.apache.commons.math3.stat.correlation.Covariance
-
Create a covariance matrix from a matrix whose columns represent covariates.
- COVARIANCE_MATRIX - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- covarianceImpl - Variable in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Covariance statistic implementation - cannot be reset.
- covarianceMatrix - Variable in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
-
Covariance matrix.
- covarianceMatrix - Variable in class org.apache.commons.math3.stat.correlation.Covariance
-
covariance matrix
- covarianceMatrixDeterminant - Variable in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
-
The determinant of the covariance matrix.
- covarianceMatrixInverse - Variable in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
-
The matrix inverse of the covariance matrix.
- covarianceNumerator - Variable in class org.apache.commons.math3.stat.correlation.StorelessBivariateCovariance
-
the running covariance estimate
- covarianceToCorrelation(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
-
Derives a correlation matrix from a covariance matrix.
- covMatrix - Variable in class org.apache.commons.math3.stat.correlation.StorelessCovariance
-
the square covariance matrix (upper triangular part)
- create() - Static method in class org.apache.commons.math3.fitting.GaussianCurveFitter
-
Creates a default curve fitter.
- create() - Static method in class org.apache.commons.math3.fitting.HarmonicCurveFitter
-
Creates a default curve fitter.
- create() - Static method in class org.apache.commons.math3.util.IntegerSequence.Incrementor
-
Factory method that creates a default instance.
- create(boolean, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsFieldStepInterpolator
-
Create a new instance.
- create(boolean, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaFieldStepInterpolator
-
Create a new instance.
- create(boolean, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.sampling.AbstractFieldStepInterpolator
-
Create a new instance.
- create(int) - Static method in class org.apache.commons.math3.fitting.PolynomialCurveFitter
-
Creates a default curve fitter.
- create(K, V) - Static method in class org.apache.commons.math3.util.Pair
-
Convenience factory method that calls the
constructor
. - create(MultivariateVectorFunction, MultivariateMatrixFunction, double[], double[], RealMatrix, ConvergenceChecker<LeastSquaresProblem.Evaluation>, int, int) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
-
Create a
LeastSquaresProblem
from the given elements. - create(ParametricUnivariateFunction, double[]) - Static method in class org.apache.commons.math3.fitting.SimpleCurveFitter
-
Creates a curve fitter.
- create(Field<T>, boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaFieldStepInterpolator
-
Create a new instance.
- create(Field<T>, boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldStepInterpolator
-
Create a new instance.
- create(Field<T>, boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldStepInterpolator
-
Create a new instance.
- create(Field<T>, boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.EulerFieldStepInterpolator
-
Create a new instance.
- create(Field<T>, boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.GillFieldStepInterpolator
-
Create a new instance.
- create(Field<T>, boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54FieldStepInterpolator
-
Create a new instance.
- create(Field<T>, boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.LutherFieldStepInterpolator
-
Create a new instance.
- create(Field<T>, boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.MidpointFieldStepInterpolator
-
Create a new instance.
- create(Field<T>, boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaFieldStepInterpolator
-
Create a new instance.
- create(Field<T>, boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.ThreeEighthesFieldStepInterpolator
-
Create a new instance.
- create(MultivariateJacobianFunction, RealVector, RealVector, RealMatrix, ConvergenceChecker<LeastSquaresProblem.Evaluation>, int, int) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
-
Create a
LeastSquaresProblem
from the given elements. - create(MultivariateJacobianFunction, RealVector, RealVector, RealMatrix, ConvergenceChecker<LeastSquaresProblem.Evaluation>, int, int, boolean, ParameterValidator) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
-
Create a
LeastSquaresProblem
from the given elements. - create(MultivariateJacobianFunction, RealVector, RealVector, ConvergenceChecker<LeastSquaresProblem.Evaluation>, int, int) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
-
Create a
LeastSquaresProblem
from the given elements. - create(RealLinearOperator) - Static method in class org.apache.commons.math3.linear.JacobiPreconditioner
-
Creates a new instance of this class.
- createAdaptor(RandomGenerator) - Static method in class org.apache.commons.math3.random.RandomAdaptor
-
Factory method to create a
Random
using the suppliedRandomGenerator
. - createBlocksLayout(int, int) - Static method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Create a data array in blocks layout.
- createBlocksLayout(Field<T>, int, int) - Static method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Create a data array in blocks layout.
- createChebyshevPolynomial(int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
-
Create a Chebyshev polynomial of the first kind.
- createColumnFieldMatrix(T[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Creates a column
FieldMatrix
using the data from the input array. - createColumnRealMatrix(double[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Creates a column
RealMatrix
using the data from the input array. - createComplex(double, double) - Method in class org.apache.commons.math3.complex.Complex
-
Create a complex number given the real and imaginary parts.
- createComplexArray(double[][]) - Static method in class org.apache.commons.math3.transform.TransformUtils
-
Builds a new array of
Complex
from the specified two dimensional array of real and imaginary parts. - createComponents(double[], double[][], double[][][]) - Static method in class org.apache.commons.math3.distribution.MixtureMultivariateNormalDistribution
- createConstant(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Create a constant compatible with instance order and number of parameters.
- createConstant(double) - Static method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Factory method creating a constant.
- createContributingStatistics() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Creates and returns a
SummaryStatistics
whose data will be aggregated with those of thisAggregateSummaryStatistics
. - createDistribution(double[], double[]) - Static method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
-
Create the list of Pairs representing the distribution from singletons and probabilities.
- createDistribution(int[], double[]) - Static method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
-
Create the list of Pairs representing the distribution from singletons and probabilities.
- createExactH(double, int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Creates
H
of sizem x m
as described in [1] (see above). - createFieldDiagonalMatrix(T[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Returns a diagonal matrix with specified elements.
- createFieldIdentityMatrix(Field<T>, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Returns
dimension x dimension
identity matrix. - createFieldMatrix(Field<T>, int, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Returns a
FieldMatrix
with specified dimensions. - createFieldMatrix(T[][]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Returns a
FieldMatrix
whose entries are the the values in the the input array. - createFieldVector(T[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Creates a
FieldVector
using the data from the input array. - createH(double) - Method in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
-
Deprecated.Creates
H
of sizem x m
as described in [1] (see above). - createHermitePolynomial(int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
-
Create a Hermite polynomial.
- createHypercubeSteps(int, double) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
Create steps for a unit hypercube.
- createHypercubeSteps(int, double) - Static method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.Create steps for a unit hypercube.
- createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaFieldIntegrator
-
Create an interpolator.
- createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldIntegrator
-
Create an interpolator.
- createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator
-
Create an interpolator.
- createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
-
Create an interpolator.
- createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.EulerFieldIntegrator
-
Create an interpolator.
- createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.GillFieldIntegrator
-
Create an interpolator.
- createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54FieldIntegrator
-
Create an interpolator.
- createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.LutherFieldIntegrator
-
Create an interpolator.
- createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.MidpointFieldIntegrator
-
Create an interpolator.
- createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaFieldIntegrator
-
Create an interpolator.
- createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.ThreeEighthesFieldIntegrator
-
Create an interpolator.
- createInterval(int, int, double) - Method in class org.apache.commons.math3.stat.interval.AgrestiCoullInterval
-
Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
- createInterval(int, int, double) - Method in interface org.apache.commons.math3.stat.interval.BinomialConfidenceInterval
-
Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
- createInterval(int, int, double) - Method in class org.apache.commons.math3.stat.interval.ClopperPearsonInterval
-
Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
- createInterval(int, int, double) - Method in class org.apache.commons.math3.stat.interval.NormalApproximationInterval
-
Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
- createInterval(int, int, double) - Method in class org.apache.commons.math3.stat.interval.WilsonScoreInterval
-
Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
- createJacobiPolynomial(int, int, int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
-
Create a Jacobi polynomial.
- createLaguerrePolynomial(int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
-
Create a Laguerre polynomial.
- createLegendrePolynomial(int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
-
Create a Legendre polynomial.
- createLinks() - Method in class org.apache.commons.math3.ml.neuralnet.oned.NeuronString
-
Creates the neighbour relationships between neurons.
- createLinks() - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
-
Creates the neighbour relationships between neurons.
- createMarkerArray(List<Double>, double) - Static method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Markers
-
Creates a marker array using initial five elements and a quantile
- createMatrix(int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Create a new FieldMatrix
of the same type as the instance with the supplied row and column dimensions. - createMatrix(int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
- createMatrix(int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Create a new FieldMatrix
of the same type as the instance with the supplied row and column dimensions. - createMatrix(int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
- createMatrix(int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Create a new FieldMatrix
of the same type as the instance with the supplied row and column dimensions. - createMatrix(int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
- createMatrix(int, int) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
-
Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
- createMatrix(int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Create a new FieldMatrix
of the same type as the instance with the supplied row and column dimensions. - createMatrix(int, int) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
- createMatrix(int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
- createMatrix(int, int) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
-
Create a new FieldMatrix
of the same type as the instance with the supplied row and column dimensions. - createNeuron(double[]) - Method in class org.apache.commons.math3.ml.neuralnet.Network
-
Creates a neuron and assigns it a unique identifier.
- createNextId() - Method in class org.apache.commons.math3.ml.neuralnet.Network
-
Creates a neuron identifier.
- createRandomGenerator(Random) - Static method in class org.apache.commons.math3.random.RandomGeneratorFactory
-
Creates a
RandomDataGenerator
instance that wraps aRandom
instance. - createRealDiagonalMatrix(double[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Returns a diagonal matrix with specified elements.
- createRealIdentityMatrix(int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Returns
dimension x dimension
identity matrix. - createRealImaginaryArray(Complex[]) - Static method in class org.apache.commons.math3.transform.TransformUtils
-
Builds a new two dimensional array of
double
filled with the real and imaginary parts of the specifiedComplex
numbers. - createRealMatrix(double[][]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Returns a
RealMatrix
whose entries are the the values in the the input array. - createRealMatrix(int, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Returns a
RealMatrix
with specified dimensions. - createRealVector(double[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Creates a
RealVector
using the data from the input array. - createRegion() - Method in class org.apache.commons.math3.geometry.euclidean.twod.hull.ConvexHull2D
-
Returns a new region that is enclosed by the convex hull.
- createRegion() - Method in interface org.apache.commons.math3.geometry.hull.ConvexHull
-
Returns a new region that is enclosed by the convex hull.
- createRegularPolygonVertices(Vector3D, Vector3D, double, int) - Static method in class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
-
Build the vertices representing a regular polygon.
- createRoundedH(double, int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Creates
H
of sizem x m
as described in [1] (see above) using double-precision. - createRowFieldMatrix(T[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Create a row
FieldMatrix
using the data from the input array. - createRowRealMatrix(double[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Create a row
RealMatrix
using the data from the input array. - createSplitPart(List<Double>) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
-
Create a split part.
- createTableau(boolean) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Create the tableau by itself.
- createTableau(boolean) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Create the tableau by itself.
- createVariable(int, double) - Static method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Factory method creating an independent variable.
- CROSSING_BOUNDARY_LOOPS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- crossover(AbstractListChromosome<T>, AbstractListChromosome<T>) - Method in class org.apache.commons.math3.genetics.OnePointCrossover
- crossover(Chromosome, Chromosome) - Method in interface org.apache.commons.math3.genetics.CrossoverPolicy
-
Perform a crossover operation on the given chromosomes.
- crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.CycleCrossover
-
Perform a crossover operation on the given chromosomes.
- crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.NPointCrossover
-
Performs a N-point crossover.
- crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.OnePointCrossover
-
Performs one point crossover.
- crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.OrderedCrossover
-
Perform a crossover operation on the given chromosomes.
- crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.UniformCrossover
-
Perform a crossover operation on the given chromosomes.
- CROSSOVER_RATE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- crossoverPoints - Variable in class org.apache.commons.math3.genetics.NPointCrossover
-
The number of crossover points.
- crossoverPolicy - Variable in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
the crossover policy used by the algorithm.
- CrossoverPolicy - Interface in org.apache.commons.math3.genetics
-
Policy used to create a pair of new chromosomes by performing a crossover operation on a source pair of chromosomes.
- crossoverRate - Variable in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
the rate of crossover for the algorithm.
- crossProduct(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Compute the cross-product of the instance with another vector.
- crossProduct(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Compute the cross-product of two vectors.
- crossProduct(FieldVector3D<T>, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Compute the cross-product of two vectors.
- crossProduct(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Compute the cross-product of the instance with another vector.
- crossProduct(Vector3D, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Compute the cross-product of two vectors.
- crossProduct(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Compute the cross-product of two vectors.
- crossProduct(Vector2D, Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Compute the cross-product of the instance and the given points.
- crossProduct(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Compute the cross-product of the instance with another vector.
- cs - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Cumulation constant for step-size.
- cs - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Cumulation constant for step-size.
- cumBinP(int) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
The combined probability of the bins up to and including binIndex.
- CUMULATIVE_PROBABILITY_RETURNED_NAN - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- cumulativeProbabilities - Variable in class org.apache.commons.math3.distribution.EnumeratedDistribution
-
Cumulative probabilities, cached to speed up sampling.
- cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.BetaDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.CauchyDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.FDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.GammaDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.GumbelDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.LaplaceDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.LevyDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.LogisticDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.NakagamiDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.ParetoDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in interface org.apache.commons.math3.distribution.RealDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.TDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.TriangularDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.WeibullDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(double, double) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
-
Deprecated.As of 3.1 (to be removed in 4.0). Please use
AbstractRealDistribution.probability(double,double)
instead. - cumulativeProbability(double, double) - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
-
Deprecated.
- cumulativeProbability(double, double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
-
Deprecated.
- cumulativeProbability(double, double) - Method in class org.apache.commons.math3.distribution.ParetoDistribution
-
Deprecated.
- cumulativeProbability(double, double) - Method in interface org.apache.commons.math3.distribution.RealDistribution
-
Deprecated.As of 3.1. In 4.0, this method will be renamed
probability(double x0, double x1)
. - cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.BinomialDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.GeometricDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(int) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.PascalDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.PoissonDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.ZipfDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X <= x)
. - cumulativeProbability(int, int) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(x0 < X <= x1)
. - cumulativeProbability(int, int) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(x0 < X <= x1)
. - current - Variable in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet.SubIntervalsIterator
-
Current node.
- current - Variable in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet.SubArcsIterator
-
Current node.
- current - Variable in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapSparseIterator
-
Current entry.
- current - Variable in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
-
Last entry returned by
RealVector.SparseEntryIterator.next()
. - current - Variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator
-
Index of current element.
- current - Variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator
-
Index of current element.
- currentBest - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Current best values for the variables to be optimized.
- currentBest - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Current best values for the variables to be optimized.
- currentDegree - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
-
Degree of the interpolation polynomials.
- currentState - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
current state
- currentStateLinearCombination(T...) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaFieldStepInterpolator
-
Compute a state by linear combination added to current state.
- CurveFitter<T> - Class in org.apache.commons.math3.fitting
-
Deprecated.As of 3.3. Please use
AbstractCurveFitter
andWeightedObservedPoints
instead. - CurveFitter<T> - Class in org.apache.commons.math3.optimization.fitting
-
Deprecated.As of 3.1 (to be removed in 4.0).
- CurveFitter(MultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.fitting.CurveFitter
-
Deprecated.Simple constructor.
- CurveFitter(DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.CurveFitter
-
Deprecated.as of 3.1 replaced by
CurveFitter(MultivariateDifferentiableVectorOptimizer)
- CurveFitter(MultivariateDifferentiableVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.CurveFitter
-
Deprecated.Simple constructor.
- CurveFitter.OldTheoreticalValuesFunction - Class in org.apache.commons.math3.optimization.fitting
-
Deprecated.
- CurveFitter.TheoreticalValuesFunction - Class in org.apache.commons.math3.fitting
-
Deprecated.Vectorial function computing function theoretical values.
- CurveFitter.TheoreticalValuesFunction - Class in org.apache.commons.math3.optimization.fitting
-
Deprecated.Vectorial function computing function theoretical values.
- cut - Variable in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Cut sub-hyperplane.
- cutOff - Variable in class org.apache.commons.math3.optim.linear.SimplexSolver
-
Cut-off value for entries in the tableau: values smaller than the cut-off are treated as zero to improve numerical stability.
- CUTOFF_THRESHOLD - Static variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.The cut-off threshold to zero-out entries.
- cX1 - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
-
Transform addendum for output abscissa.
- cXX - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
-
Transform factor between input abscissa and output abscissa.
- cXY - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
-
Transform factor between input ordinate and output abscissa.
- cY1 - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
-
Transform addendum for output ordinate.
- CycleCrossover<T> - Class in org.apache.commons.math3.genetics
-
Cycle Crossover [CX] builds offspring from ordered chromosomes by identifying cycles between two parent chromosomes.
- CycleCrossover() - Constructor for class org.apache.commons.math3.genetics.CycleCrossover
-
Creates a new
CycleCrossover
policy. - CycleCrossover(boolean) - Constructor for class org.apache.commons.math3.genetics.CycleCrossover
-
Creates a new
CycleCrossover
policy using the givenrandomStart
behavior. - cYX - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
-
Transform factor between input abscissa and output ordinate.
- cYY - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
-
Transform factor between input ordinate and output ordinate.
D
- d - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldStepInterpolator
-
Interpolation weights.
- d - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
diagonals of cross products matrix
- d - Variable in class org.apache.commons.math3.util.BigReal
-
Underlying BigDecimal.
- D - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Interpolation weights.
- D - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Scaling.
- D - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Scaling.
- d0 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldStepInterpolator
-
Shampine (1986) Dense output, element 0.
- D0 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Shampine (1986) Dense output, element 0.
- d2 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldStepInterpolator
-
Shampine (1986) Dense output, element 2.
- D2 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Shampine (1986) Dense output, element 2.
- d3 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldStepInterpolator
-
Shampine (1986) Dense output, element 3.
- D3 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Shampine (1986) Dense output, element 3.
- d4 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldStepInterpolator
-
Shampine (1986) Dense output, element 4.
- D4 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Shampine (1986) Dense output, element 4.
- d5 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldStepInterpolator
-
Shampine (1986) Dense output, element 5.
- D5 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Shampine (1986) Dense output, element 5.
- d5a - Variable in class org.apache.commons.math3.ode.nonstiff.LutherFieldStepInterpolator
-
49 + 49 q.
- d5b - Variable in class org.apache.commons.math3.ode.nonstiff.LutherFieldStepInterpolator
-
-1372 - 847 q.
- d5c - Variable in class org.apache.commons.math3.ode.nonstiff.LutherFieldStepInterpolator
-
2254 + 1029 q
- d6 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldStepInterpolator
-
Shampine (1986) Dense output, element 6.
- D6 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Shampine (1986) Dense output, element 6.
- d6a - Variable in class org.apache.commons.math3.ode.nonstiff.LutherFieldStepInterpolator
-
49 - 49 q.
- d6b - Variable in class org.apache.commons.math3.ode.nonstiff.LutherFieldStepInterpolator
-
-1372 + 847 q.
- d6c - Variable in class org.apache.commons.math3.ode.nonstiff.LutherFieldStepInterpolator
-
2254 - 1029 q
- damps - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Damping for step-size.
- damps - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Damping for step-size.
- DANTZIG - Enum constant in enum org.apache.commons.math3.optim.linear.PivotSelectionRule
-
The classical rule, the variable with the most negative coefficient in the objective function row will be chosen as entering variable.
- darkThreshold - Variable in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere
-
Lowest non-zero illumination.
- data - Variable in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Combined array holding all values.
- data - Variable in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure.DataTransferObject
-
Partial derivatives.
- data - Variable in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization
-
The data to fit.
- data - Variable in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Entries of the matrix
- data - Variable in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Entries of the matrix.
- data - Variable in class org.apache.commons.math3.linear.ArrayFieldVector
-
Entries of the vector.
- data - Variable in class org.apache.commons.math3.linear.ArrayRealVector
-
Entries of the vector.
- data - Variable in class org.apache.commons.math3.linear.DiagonalMatrix
-
Entries of the diagonal.
- data - Variable in class org.apache.commons.math3.linear.MatrixUtils.BigFractionMatrixConverter
-
Converted array.
- data - Variable in class org.apache.commons.math3.linear.MatrixUtils.FractionMatrixConverter
-
Converted array.
- data - Variable in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
-
Input data
- DataAdapter() - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution.DataAdapter
- DataRow(double[]) - Constructor for class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization.DataRow
-
Create a data row.
- DataTransferObject(double[], double) - Constructor for class org.apache.commons.math3.optim.PointValuePair.DataTransferObject
-
Simple constructor.
- DataTransferObject(double[], double) - Constructor for class org.apache.commons.math3.optimization.PointValuePair.DataTransferObject
-
Deprecated.Simple constructor.
- DataTransferObject(double[], double[]) - Constructor for class org.apache.commons.math3.optim.PointVectorValuePair.DataTransferObject
-
Simple constructor.
- DataTransferObject(double[], double[]) - Constructor for class org.apache.commons.math3.optimization.PointVectorValuePair.DataTransferObject
-
Deprecated.Simple constructor.
- DataTransferObject(double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates.DataTransferObject
-
Simple constructor.
- DataTransferObject(int, int, double[]) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure.DataTransferObject
-
Simple constructor.
- daxpbypz(double, RealVector, double, RealVector, RealVector) - Static method in class org.apache.commons.math3.linear.SymmLQ.State
-
A BLAS-like function, for the operation z ← a · x + b · y + z.
- daxpy(double, RealVector, RealVector) - Static method in class org.apache.commons.math3.linear.SymmLQ.State
-
A clone of the BLAS
DAXPY
function, which carries out the operation y ← a · x + y. - dbar - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The value of dbar[k+1] = -beta[k+1] * c[k-1].
- DBSCANClusterer<T> - Class in org.apache.commons.math3.ml.clustering
-
DBSCAN (density-based spatial clustering of applications with noise) algorithm.
- DBSCANClusterer<T> - Class in org.apache.commons.math3.stat.clustering
-
Deprecated.As of 3.2 (to be removed in 4.0), use
DBSCANClusterer
instead - DBSCANClusterer(double, int) - Constructor for class org.apache.commons.math3.ml.clustering.DBSCANClusterer
-
Creates a new instance of a DBSCANClusterer.
- DBSCANClusterer(double, int) - Constructor for class org.apache.commons.math3.stat.clustering.DBSCANClusterer
-
Deprecated.Creates a new instance of a DBSCANClusterer.
- DBSCANClusterer(double, int, DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.clustering.DBSCANClusterer
-
Creates a new instance of a DBSCANClusterer.
- DBSCANClusterer.PointStatus - Enum in org.apache.commons.math3.ml.clustering
-
Status of a point during the clustering process.
- DBSCANClusterer.PointStatus - Enum in org.apache.commons.math3.stat.clustering
-
Deprecated.Status of a point during the clustering process.
- DctNormalization - Enum in org.apache.commons.math3.transform
-
This enumeration defines the various types of normalizations that can be applied to discrete cosine transforms (DCT).
- DctNormalization() - Constructor for enum org.apache.commons.math3.transform.DctNormalization
- DECIMAL_FORMAT - Static variable in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
-
A decimal formatter for print convenience
- Decimal64 - Class in org.apache.commons.math3.util
-
This class wraps a
double
value in an object. - Decimal64(double) - Constructor for class org.apache.commons.math3.util.Decimal64
-
Creates a new instance of this class.
- Decimal64Field - Class in org.apache.commons.math3.util
-
The field of double precision floating-point numbers.
- Decimal64Field() - Constructor for class org.apache.commons.math3.util.Decimal64Field
-
Default constructor.
- decode(List<T>) - Method in interface org.apache.commons.math3.genetics.PermutationChromosome
-
Permutes the
sequence
of objects of type T according to the permutation this chromosome represents. - decode(List<T>) - Method in class org.apache.commons.math3.genetics.RandomKey
-
Permutes the
sequence
of objects of type T according to the permutation this chromosome represents. - decodeGeneric(List<S>, List<Double>, List<Double>) - Static method in class org.apache.commons.math3.genetics.RandomKey
-
Decodes a permutation represented by
representation
and returns a (generic) list with the permuted values. - decompose(double[][]) - Method in class org.apache.commons.math3.linear.QRDecomposition
-
Decompose matrix.
- decompose(double[][]) - Method in class org.apache.commons.math3.linear.RRQRDecomposition
-
Decompose matrix.
- decomposition - Variable in class org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer
-
Indicator for using LU decomposition.
- Decomposition() - Constructor for enum org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer.Decomposition
- DecompositionSolver - Interface in org.apache.commons.math3.linear
-
Interface handling decomposition algorithms that can solve A × X = B.
- DECREASING - Enum constant in enum org.apache.commons.math3.util.MathArrays.OrderDirection
-
Constant for decreasing direction.
- decrementExact(int) - Static method in class org.apache.commons.math3.util.FastMath
-
Decrement a number, detecting overflows.
- decrementExact(long) - Static method in class org.apache.commons.math3.util.FastMath
-
Decrement a number, detecting overflows.
- DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Default absolute accuracy.
- DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
-
Default absolute accuracy.
- DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.BisectionSolver
-
Default absolute accuracy.
- DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
-
Default absolute accuracy.
- DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.BrentSolver
-
Default absolute accuracy.
- DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.LaguerreSolver
-
Default absolute accuracy.
- DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.MullerSolver
-
Default absolute accuracy.
- DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.MullerSolver2
-
Default absolute accuracy.
- DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.NewtonRaphsonSolver
-
Default absolute accuracy.
- DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.NewtonSolver
-
Deprecated.Default absolute accuracy.
- DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.RiddersSolver
-
Default absolute accuracy.
- DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.SecantSolver
-
Default absolute accuracy.
- DEFAULT_ABSOLUTE_POSITIVITY_THRESHOLD - Static variable in class org.apache.commons.math3.linear.CholeskyDecomposition
-
Default threshold below which diagonal elements are considered null and matrix not positive definite.
- DEFAULT_ABSOLUTE_THRESHOLD - Static variable in class org.apache.commons.math3.optimization.AbstractConvergenceChecker
-
Deprecated.in 3.1 (to be removed in 4.0) because this value is too small to be useful as a default (cf. MATH-798).
- DEFAULT_ACCURACY - Static variable in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
-
Default value for accuracy.
- DEFAULT_BANDWIDTH - Static variable in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
-
Default value of the bandwidth parameter.
- DEFAULT_BIN_COUNT - Static variable in class org.apache.commons.math3.random.EmpiricalDistribution
-
Default bin count
- DEFAULT_BRIGHTNESS_EXPONENT - Static variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
-
Deprecated.Default exponent used the weights calculation.
- DEFAULT_CHECKFEASABLECOUNT - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Default value for
CMAESOptimizer.checkFeasableCount
: 0. - DEFAULT_COLUMN_SEPARATOR - Static variable in class org.apache.commons.math3.linear.RealMatrixFormat
-
The default column separator: ",".
- DEFAULT_CONTRACTION_DELTA - Static variable in class org.apache.commons.math3.util.ResizableDoubleArray
-
Default value for the difference between
ResizableDoubleArray.contractionCriterion
andResizableDoubleArray.expansionFactor
. - DEFAULT_CUT_OFF - Static variable in class org.apache.commons.math3.optim.linear.SimplexSolver
-
Default cut-off value.
- DEFAULT_DIAGONALONLY - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Default value for
CMAESOptimizer.diagonalOnly
: 0. - DEFAULT_EPSILON - Static variable in class org.apache.commons.math3.distribution.PoissonDistribution
-
Default convergence criterion.
- DEFAULT_EPSILON - Static variable in class org.apache.commons.math3.fraction.Fraction
-
The default epsilon used for convergence.
- DEFAULT_EPSILON - Static variable in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
-
The default value for the convergence criteria.
- DEFAULT_EPSILON - Static variable in class org.apache.commons.math3.optim.linear.SimplexSolver
-
Default amount of error to accept for algorithm convergence.
- DEFAULT_EPSILON - Static variable in class org.apache.commons.math3.optimization.linear.SimplexSolver
-
Deprecated.Default amount of error to accept for algorithm convergence.
- DEFAULT_EPSILON - Static variable in class org.apache.commons.math3.special.Beta
-
Maximum allowed numerical error.
- DEFAULT_EPSILON - Static variable in class org.apache.commons.math3.special.Gamma
-
Maximum allowed numerical error.
- DEFAULT_EPSILON - Static variable in class org.apache.commons.math3.util.ContinuedFraction
-
Maximum allowed numerical error.
- DEFAULT_EXPANSION_FACTOR - Static variable in class org.apache.commons.math3.util.ResizableDoubleArray
-
Default value for array size modifier.
- DEFAULT_EXPECTED_SIZE - Static variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Default starting size.
- DEFAULT_EXPECTED_SIZE - Static variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Default starting size.
- DEFAULT_EXTEND - Static variable in class org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator
-
Default number of extension points of the samples array.
- DEFAULT_FORMAT - Static variable in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Default format.
- DEFAULT_FORMAT - Static variable in class org.apache.commons.math3.linear.ArrayRealVector
-
Default format.
- DEFAULT_FORMAT - Static variable in class org.apache.commons.math3.linear.MatrixUtils
-
The default format for
RealMatrix
objects. - DEFAULT_FUNCTION_VALUE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Default function value accuracy.
- DEFAULT_FUNCTION_VALUE_ACCURACY - Static variable in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Default function value accuracy.
- DEFAULT_GAMMA - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
-
Default value for
MultiDirectionalSimplex.gamma
: 0.5. - DEFAULT_GAMMA - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
-
Default value for
NelderMeadSimplex.gamma
: 0.5. - DEFAULT_GAMMA - Static variable in class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
-
Deprecated.Default value for
MultiDirectionalSimplex.gamma
: 0.5. - DEFAULT_GAMMA - Static variable in class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
-
Deprecated.Default value for
NelderMeadSimplex.gamma
: 0.5. - DEFAULT_IMAGINARY_CHARACTER - Static variable in class org.apache.commons.math3.complex.ComplexFormat
-
The default imaginary character.
- DEFAULT_INITIAL_CAPACITY - Static variable in class org.apache.commons.math3.util.ResizableDoubleArray
-
Default value for initial capacity.
- DEFAULT_INITIAL_RADIUS - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Default value for
BOBYQAOptimizer.initialTrustRegionRadius
: 10.0 . - DEFAULT_INITIAL_RADIUS - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Default value for
BOBYQAOptimizer.initialTrustRegionRadius
: 10.0 . - DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.BetaDistribution
-
Default inverse cumulative probability accuracy.
- DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.CauchyDistribution
-
Default inverse cumulative probability accuracy.
- DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Default inverse cumulative probability accuracy
- DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.ExponentialDistribution
-
Default inverse cumulative probability accuracy.
- DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.FDistribution
-
Default inverse cumulative probability accuracy.
- DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.GammaDistribution
-
Default inverse cumulative probability accuracy.
- DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.LogNormalDistribution
-
Default inverse cumulative probability accuracy.
- DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.NakagamiDistribution
-
Default inverse cumulative probability accuracy.
- DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.NormalDistribution
-
Default inverse cumulative probability accuracy.
- DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.ParetoDistribution
-
Default inverse cumulative probability accuracy.
- DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.TDistribution
-
Default inverse cumulative probability accuracy.
- DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.UniformRealDistribution
-
Deprecated.as of 3.2 not used anymore, will be removed in 4.0
- DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.WeibullDistribution
-
Default inverse cumulative probability accuracy.
- DEFAULT_ISACTIVECMA - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Default value for
CMAESOptimizer.isActiveCMA
: true. - DEFAULT_KHI - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
-
Default value for
MultiDirectionalSimplex.khi
: 2.0. - DEFAULT_KHI - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
-
Default value for
NelderMeadSimplex.khi
: 2.0. - DEFAULT_KHI - Static variable in class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
-
Deprecated.Default value for
MultiDirectionalSimplex.khi
: 2.0. - DEFAULT_KHI - Static variable in class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
-
Deprecated.Default value for
NelderMeadSimplex.khi
: 2.0. - DEFAULT_MAX_ITERATIONS - Static variable in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization
-
Default maximum number of iterations allowed per fitting process.
- DEFAULT_MAX_ITERATIONS - Static variable in class org.apache.commons.math3.distribution.PoissonDistribution
-
Default maximum number of iterations for cumulative probability calculations.
- DEFAULT_MAX_ITERATIONS - Static variable in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
-
Deprecated.Default maximal number of iterations allowed.
- DEFAULT_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Default maximal iteration count.
- DEFAULT_MAXIMAL_ORDER - Static variable in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
-
Default maximal order.
- DEFAULT_MAXITERATIONS - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Default value for
CMAESOptimizer.maxIterations
: 30000. - DEFAULT_MICROSPHERE_ELEMENTS - Static variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
-
Deprecated.Default number of surface elements that composes the microsphere.
- DEFAULT_MIN_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Default minimal iteration count.
- DEFAULT_NAN_STRATEGY - Static variable in class org.apache.commons.math3.stat.ranking.NaturalRanking
-
default NaN strategy
- DEFAULT_PREFIX - Static variable in class org.apache.commons.math3.geometry.VectorFormat
-
The default prefix: "{".
- DEFAULT_PREFIX - Static variable in class org.apache.commons.math3.linear.RealMatrixFormat
-
The default prefix: "{".
- DEFAULT_PREFIX - Static variable in class org.apache.commons.math3.linear.RealVectorFormat
-
The default prefix: "{".
- DEFAULT_QUANTILE_DESIRED - Static variable in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
-
A Default quantile needed in case if user prefers to use default no argument constructor.
- DEFAULT_RANDOMGENERATOR - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Default value for
CMAESOptimizer.random
. - DEFAULT_RELATIVE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Default relative accuracy.
- DEFAULT_RELATIVE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Default relative accuracy.
- DEFAULT_RELATIVE_ACCURACY - Static variable in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Default relative accuracy.
- DEFAULT_RELATIVE_SYMMETRY_THRESHOLD - Static variable in class org.apache.commons.math3.linear.CholeskyDecomposition
-
Default threshold above which off-diagonal elements are considered too different and matrix not symmetric.
- DEFAULT_RELATIVE_THRESHOLD - Static variable in class org.apache.commons.math3.optimization.AbstractConvergenceChecker
-
Deprecated.in 3.1 (to be removed in 4.0) because this value is too small to be useful as a default (cf. MATH-798).
- DEFAULT_RHO - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
-
Default value for
NelderMeadSimplex.rho
: 1.0. - DEFAULT_RHO - Static variable in class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
-
Deprecated.Default value for
NelderMeadSimplex.rho
: 1.0. - DEFAULT_ROBUSTNESS_ITERS - Static variable in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
-
Default value of the number of robustness iterations.
- DEFAULT_ROW_PREFIX - Static variable in class org.apache.commons.math3.linear.RealMatrixFormat
-
The default row prefix: "{".
- DEFAULT_ROW_SEPARATOR - Static variable in class org.apache.commons.math3.linear.RealMatrixFormat
-
The default row separator: ",".
- DEFAULT_ROW_SUFFIX - Static variable in class org.apache.commons.math3.linear.RealMatrixFormat
-
The default row suffix: "}".
- DEFAULT_SEPARATOR - Static variable in class org.apache.commons.math3.geometry.VectorFormat
-
The default separator: ", ".
- DEFAULT_SEPARATOR - Static variable in class org.apache.commons.math3.linear.RealVectorFormat
-
The default separator: ", ".
- DEFAULT_SIGMA - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
-
Default value for
NelderMeadSimplex.sigma
: 0.5. - DEFAULT_SIGMA - Static variable in class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
-
Deprecated.Default value for
NelderMeadSimplex.sigma
: 0.5. - DEFAULT_SINGULARITY_THRESHOLD - Static variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.As of 3.1.
- DEFAULT_STOPFITNESS - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Default value for
CMAESOptimizer.stopFitness
: 0.0. - DEFAULT_STOPPING_RADIUS - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Default value for
BOBYQAOptimizer.stoppingTrustRegionRadius
: 1.0E-8 . - DEFAULT_STOPPING_RADIUS - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Default value for
BOBYQAOptimizer.stoppingTrustRegionRadius
: 1.0E-8 . - DEFAULT_SUFFIX - Static variable in class org.apache.commons.math3.geometry.VectorFormat
-
The default suffix: "}".
- DEFAULT_SUFFIX - Static variable in class org.apache.commons.math3.linear.RealMatrixFormat
-
The default suffix: "}".
- DEFAULT_SUFFIX - Static variable in class org.apache.commons.math3.linear.RealVectorFormat
-
The default suffix: "}".
- DEFAULT_THRESHOLD - Static variable in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization
-
Default convergence threshold for fitting.
- DEFAULT_TIES_STRATEGY - Static variable in class org.apache.commons.math3.stat.ranking.NaturalRanking
-
default ties strategy
- DEFAULT_TOLERANCE - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Default value for tolerance.
- DEFAULT_TOLERANCE - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
-
Default value for tolerance.
- DEFAULT_TOLERANCE - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Default value for tolerance.
- DEFAULT_TOLERANCE - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Default value for tolerance.
- DEFAULT_TOLERANCE - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
-
Default value for tolerance.
- DEFAULT_TOLERANCE - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.SubLine
-
Default value for tolerance.
- DEFAULT_TOLERANCE - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.hull.AbstractConvexHullGenerator2D
-
Default value for tolerance.
- DEFAULT_TOLERANCE - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Default value for tolerance.
- DEFAULT_TOLERANCE - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
-
Default value for tolerance.
- DEFAULT_TOLERANCE - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.SubLine
-
Default value for tolerance.
- DEFAULT_TOO_SMALL - Static variable in class org.apache.commons.math3.linear.LUDecomposition
-
Default bound to determine effective singularity in LU decomposition.
- DEFAULT_ULPS - Static variable in class org.apache.commons.math3.optim.linear.SimplexSolver
-
Default amount of error to accept in floating point comparisons (as ulps).
- DEFAULT_ULPS - Static variable in class org.apache.commons.math3.optimization.linear.SimplexSolver
-
Deprecated.Default amount of error to accept in floating point comparisons (as ulps).
- DEFAULT_ULPS - Static variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Default amount of error to accept in floating point comparisons (as ulps).
- DEFAULT_ZERO_TOLERANCE - Static variable in class org.apache.commons.math3.linear.OpenMapRealVector
-
Default Tolerance for having a value considered zero.
- DefaultFieldMatrixChangingVisitor<T> - Class in org.apache.commons.math3.linear
-
Default implementation of the
FieldMatrixChangingVisitor
interface. - DefaultFieldMatrixChangingVisitor(T) - Constructor for class org.apache.commons.math3.linear.DefaultFieldMatrixChangingVisitor
-
Build a new instance.
- DefaultFieldMatrixPreservingVisitor<T> - Class in org.apache.commons.math3.linear
-
Default implementation of the
FieldMatrixPreservingVisitor
interface. - DefaultFieldMatrixPreservingVisitor(T) - Constructor for class org.apache.commons.math3.linear.DefaultFieldMatrixPreservingVisitor
-
Build a new instance.
- DefaultIterativeLinearSolverEvent - Class in org.apache.commons.math3.linear
-
A default concrete implementation of the abstract class
IterativeLinearSolverEvent
. - DefaultIterativeLinearSolverEvent(Object, int, RealVector, RealVector, double) - Constructor for class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
-
Creates a new instance of this class.
- DefaultIterativeLinearSolverEvent(Object, int, RealVector, RealVector, RealVector, double) - Constructor for class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
-
Creates a new instance of this class.
- DefaultMeasurementModel - Class in org.apache.commons.math3.filter
-
Default implementation of a
MeasurementModel
for the use with aKalmanFilter
. - DefaultMeasurementModel(double[][], double[][]) - Constructor for class org.apache.commons.math3.filter.DefaultMeasurementModel
-
Create a new
MeasurementModel
, taking double arrays as input parameters for the respective measurement matrix and noise. - DefaultMeasurementModel(RealMatrix, RealMatrix) - Constructor for class org.apache.commons.math3.filter.DefaultMeasurementModel
-
Create a new
MeasurementModel
, takingRealMatrix
objects as input parameters for the respective measurement matrix and noise. - DefaultProcessModel - Class in org.apache.commons.math3.filter
-
Default implementation of a
ProcessModel
for the use with aKalmanFilter
. - DefaultProcessModel(double[][], double[][], double[][]) - Constructor for class org.apache.commons.math3.filter.DefaultProcessModel
-
Create a new
ProcessModel
, taking double arrays as input parameters. - DefaultProcessModel(double[][], double[][], double[][], double[], double[][]) - Constructor for class org.apache.commons.math3.filter.DefaultProcessModel
-
Create a new
ProcessModel
, taking double arrays as input parameters. - DefaultProcessModel(RealMatrix, RealMatrix, RealMatrix, RealVector, RealMatrix) - Constructor for class org.apache.commons.math3.filter.DefaultProcessModel
-
Create a new
ProcessModel
, taking double arrays as input parameters. - DefaultRealMatrixChangingVisitor - Class in org.apache.commons.math3.linear
-
Default implementation of the
RealMatrixChangingVisitor
interface. - DefaultRealMatrixChangingVisitor() - Constructor for class org.apache.commons.math3.linear.DefaultRealMatrixChangingVisitor
- DefaultRealMatrixPreservingVisitor - Class in org.apache.commons.math3.linear
-
Default implementation of the
RealMatrixPreservingVisitor
interface. - DefaultRealMatrixPreservingVisitor() - Constructor for class org.apache.commons.math3.linear.DefaultRealMatrixPreservingVisitor
- Default stopping criterion - Search tag in class org.apache.commons.math3.linear.ConjugateGradient
- Section
- Default stopping criterion - Search tag in class org.apache.commons.math3.linear.SymmLQ
- Section
- defaultTransformer - Variable in class org.apache.commons.math3.util.TransformerMap
-
A default Number Transformer for Numbers and numeric Strings.
- DefaultTransformer - Class in org.apache.commons.math3.util
-
A Default NumberTransformer for java.lang.Numbers and Numeric Strings.
- DefaultTransformer() - Constructor for class org.apache.commons.math3.util.DefaultTransformer
- degree - Variable in class org.apache.commons.math3.optimization.fitting.PolynomialFitter
-
Deprecated.
- degree() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
-
Returns the degree of the polynomial.
- degree() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
-
Returns the degree of the polynomial.
- degree() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
-
Returns the degree of the polynomial.
- DEGREES_OF_FREEDOM - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- degreesOfFreedom - Variable in class org.apache.commons.math3.distribution.TDistribution
-
The degrees of freedom.
- delegate - Variable in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.RandomDataGenerator delegate
- delete() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Deprecated.Delete the node from the tree.
- delete(T) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
-
Deprecated.Delete an element from the tree.
- deleteLink(Neuron, Neuron) - Method in class org.apache.commons.math3.ml.neuralnet.Network
-
Deletes the link between neurons
a
andb
. - deleteLinkFromLinkSet(Set<Long>, long) - Method in class org.apache.commons.math3.ml.neuralnet.Network
-
Deletes a link to neuron
id
in givenlinkSet
. - deleteNeuron(Neuron) - Method in class org.apache.commons.math3.ml.neuralnet.Network
-
Deletes a neuron.
- delta - Variable in class org.apache.commons.math3.linear.ConjugateGradient
-
The value of δ, for the default stopping criterion.
- delta - Variable in class org.apache.commons.math3.linear.SymmLQ
-
The value of the custom tolerance δ for the default stopping criterion.
- delta - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The value of the custom tolerance δ for the default stopping criterion.
- delta - Variable in class org.apache.commons.math3.random.EmpiricalDistribution
-
Grid size
- DELTA - Static variable in class org.apache.commons.math3.special.Beta
-
The coefficients of the series expansion of the Δ function.
- deltaMinusDeltaSum(double, double) - Static method in class org.apache.commons.math3.special.Beta
-
Returns the value of Δ(b) - Δ(a + b), with 0 ≤ a ≤ b and b ≥ 10.
- denominator - Variable in class org.apache.commons.math3.fraction.BigFraction
-
The denominator.
- denominator - Variable in class org.apache.commons.math3.fraction.Fraction
-
The denominator.
- DENOMINATOR - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- DENOMINATOR_FORMAT - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- denominatorDegreesOfFreedom - Variable in class org.apache.commons.math3.distribution.FDistribution
-
The numerator degrees of freedom.
- denominatorFormat - Variable in class org.apache.commons.math3.fraction.AbstractFormat
-
The format used for the denominator.
- DenseWeightedEvaluation - Class in org.apache.commons.math3.fitting.leastsquares
-
Applies a dense weight matrix to an evaluation.
- DenseWeightedEvaluation(LeastSquaresProblem.Evaluation, RealMatrix) - Constructor for class org.apache.commons.math3.fitting.leastsquares.DenseWeightedEvaluation
-
Create a weighted evaluation from an unweighted one.
- density(double) - Method in class org.apache.commons.math3.distribution.BetaDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.math3.distribution.CauchyDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X = x)
. - density(double) - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.math3.distribution.FDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.math3.distribution.GammaDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.math3.distribution.GumbelDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.math3.distribution.LaplaceDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.math3.distribution.LevyDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.math3.distribution.LogisticDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.math3.distribution.NakagamiDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.math3.distribution.ParetoDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in interface org.apache.commons.math3.distribution.RealDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.math3.distribution.TDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.math3.distribution.TriangularDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.math3.distribution.WeibullDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double[]) - Method in class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double[]) - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - density(double[]) - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution
-
Returns the probability density function (PDF) of this distribution evaluated at the specified point
x
. - densityPrefactor1 - Variable in class org.apache.commons.math3.distribution.GammaDistribution
-
The constant value of
shape / scale * sqrt(e / (2 * pi * (shape + g + 0.5))) / L(shape)
, whereL(shape)
is the Lanczos approximation returned byGamma.lanczos(double)
. - densityPrefactor2 - Variable in class org.apache.commons.math3.distribution.GammaDistribution
-
The constant value of
shape * sqrt(e / (2 * pi * (shape + g + 0.5))) / L(shape)
, whereL(shape)
is the Lanczos approximation returned byGamma.lanczos(double)
. - derivative - Variable in class org.apache.commons.math3.ode.FieldODEStateAndDerivative
-
Derivative of the main state at time.
- derivative() - Method in interface org.apache.commons.math3.analysis.DifferentiableUnivariateFunction
-
Deprecated.Returns the derivative of the function
- derivative() - Method in interface org.apache.commons.math3.analysis.DifferentiableUnivariateMatrixFunction
-
Deprecated.Returns the derivative of the function
- derivative() - Method in interface org.apache.commons.math3.analysis.DifferentiableUnivariateVectorFunction
-
Deprecated.Returns the derivative of the function
- derivative() - Method in class org.apache.commons.math3.analysis.function.Acos
-
Deprecated.as of 3.1, replaced by
Acos.value(DerivativeStructure)
- derivative() - Method in class org.apache.commons.math3.analysis.function.Acosh
-
Deprecated.as of 3.1, replaced by
Acosh.value(DerivativeStructure)
- derivative() - Method in class org.apache.commons.math3.analysis.function.Asin
-
Deprecated.as of 3.1, replaced by
Asin.value(DerivativeStructure)
- derivative() - Method in class org.apache.commons.math3.analysis.function.Asinh
-
Deprecated.as of 3.1, replaced by
Asinh.value(DerivativeStructure)
- derivative() - Method in class org.apache.commons.math3.analysis.function.Atan
-
Deprecated.as of 3.1, replaced by
Atan.value(DerivativeStructure)
- derivative() - Method in class org.apache.commons.math3.analysis.function.Atanh
-
Deprecated.as of 3.1, replaced by
Atanh.value(DerivativeStructure)
- derivative() - Method in class org.apache.commons.math3.analysis.function.Cbrt
-
Deprecated.as of 3.1, replaced by
Cbrt.value(DerivativeStructure)
- derivative() - Method in class org.apache.commons.math3.analysis.function.Constant
-
Deprecated.as of 3.1, replaced by
Constant.value(DerivativeStructure)
- derivative() - Method in class org.apache.commons.math3.analysis.function.Cos
-
Deprecated.as of 3.1, replaced by
Cos.value(DerivativeStructure)
- derivative() - Method in class org.apache.commons.math3.analysis.function.Cosh
-
Deprecated.as of 3.1, replaced by
Cosh.value(DerivativeStructure)
- derivative() - Method in class org.apache.commons.math3.analysis.function.Exp
-
Deprecated.as of 3.1, replaced by
Exp.value(DerivativeStructure)
- derivative() - Method in class org.apache.commons.math3.analysis.function.Expm1
-
Deprecated.as of 3.1, replaced by
Expm1.value(DerivativeStructure)
- derivative() - Method in class org.apache.commons.math3.analysis.function.Gaussian
-
Deprecated.as of 3.1, replaced by
Gaussian.value(DerivativeStructure)
- derivative() - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator
-
Deprecated.as of 3.1, replaced by
HarmonicOscillator.value(DerivativeStructure)
- derivative() - Method in class org.apache.commons.math3.analysis.function.Identity
-
Deprecated.as of 3.1, replaced by
Identity.value(DerivativeStructure)
- derivative() - Method in class org.apache.commons.math3.analysis.function.Inverse
-
Deprecated.as of 3.1, replaced by
Inverse.value(DerivativeStructure)
- derivative() - Method in class org.apache.commons.math3.analysis.function.Log
-
Deprecated.as of 3.1, replaced by
Log.value(DerivativeStructure)
- derivative() - Method in class org.apache.commons.math3.analysis.function.Log10
-
Deprecated.as of 3.1, replaced by
Log10.value(DerivativeStructure)
- derivative() - Method in class org.apache.commons.math3.analysis.function.Log1p
-
Deprecated.as of 3.1, replaced by
Log1p.value(DerivativeStructure)
- derivative() - Method in class org.apache.commons.math3.analysis.function.Logistic
-
Deprecated.as of 3.1, replaced by
Logistic.value(DerivativeStructure)
- derivative() - Method in class org.apache.commons.math3.analysis.function.Logit
-
Deprecated.as of 3.1, replaced by
Logit.value(DerivativeStructure)
- derivative() - Method in class org.apache.commons.math3.analysis.function.Minus
-
Deprecated.as of 3.1, replaced by
Minus.value(DerivativeStructure)
- derivative() - Method in class org.apache.commons.math3.analysis.function.Power
-
Deprecated.as of 3.1, replaced by
Power.value(DerivativeStructure)
- derivative() - Method in class org.apache.commons.math3.analysis.function.Sigmoid
-
Deprecated.as of 3.1, replaced by
Sigmoid.value(DerivativeStructure)
- derivative() - Method in class org.apache.commons.math3.analysis.function.Sin
-
Deprecated.as of 3.1, replaced by
Sin.value(DerivativeStructure)
- derivative() - Method in class org.apache.commons.math3.analysis.function.Sinc
-
Deprecated.as of 3.1, replaced by
Sinc.value(DerivativeStructure)
- derivative() - Method in class org.apache.commons.math3.analysis.function.Sinh
-
Deprecated.as of 3.1, replaced by
Sinh.value(DerivativeStructure)
- derivative() - Method in class org.apache.commons.math3.analysis.function.Sqrt
-
Deprecated.as of 3.1, replaced by
Sqrt.value(DerivativeStructure)
- derivative() - Method in class org.apache.commons.math3.analysis.function.Tan
-
Deprecated.as of 3.1, replaced by
Tan.value(DerivativeStructure)
- derivative() - Method in class org.apache.commons.math3.analysis.function.Tanh
-
Deprecated.as of 3.1, replaced by
Tanh.value(DerivativeStructure)
- derivative() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
-
Returns the derivative as a
UnivariateFunction
. - derivative() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
-
Get the derivative of the polynomial spline function.
- derivativeLinearCombination(T...) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaFieldStepInterpolator
-
Compute a state derivative by linear combination.
- derivatives - Variable in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Stored derivative, each key representing a different independent variable.
- derivatives(T, int) - Method in class org.apache.commons.math3.analysis.interpolation.FieldHermiteInterpolator
-
Interpolate value and first derivatives at a specified abscissa.
- derivativesIndirection - Variable in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Indirection array for partial derivatives.
- DerivativeStructure - Class in org.apache.commons.math3.analysis.differentiation
-
Class representing both the value and the differentials of a function.
- DerivativeStructure(double, DerivativeStructure, double, DerivativeStructure) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Linear combination constructor.
- DerivativeStructure(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Linear combination constructor.
- DerivativeStructure(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Linear combination constructor.
- DerivativeStructure(int, int) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Build an instance with all values and derivatives set to 0.
- DerivativeStructure(int, int, double) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Build an instance representing a constant value.
- DerivativeStructure(int, int, double...) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Build an instance from all its derivatives.
- DerivativeStructure(int, int, int, double) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Build an instance representing a variable.
- DerivativeStructure(DerivativeStructure) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Copy constructor.
- DerivativeStructure(DSCompiler) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Build an instance with all values and derivatives set to 0.
- DerivativeStructure.DataTransferObject - Class in org.apache.commons.math3.analysis.differentiation
-
Internal class used only for serialization.
- DescriptiveStatistics - Class in org.apache.commons.math3.stat.descriptive
-
Maintains a dataset of values of a single variable and computes descriptive statistics based on stored data.
- DescriptiveStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Construct a DescriptiveStatistics instance with an infinite window
- DescriptiveStatistics(double[]) - Constructor for class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Construct a DescriptiveStatistics instance with an infinite window and the initial data values in double[] initialDoubleArray.
- DescriptiveStatistics(int) - Constructor for class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Construct a DescriptiveStatistics instance with the specified window
- DescriptiveStatistics(DescriptiveStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Copy constructor.
- deSerializeContext(ObjectInputStream) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
-
Deserialize
ExceptionContext.context
. - deSerializeMessages(ObjectInputStream) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
-
Deserialize
ExceptionContext.msgPatterns
andExceptionContext.msgArguments
. - deserializeRealMatrix(Object, String, ObjectInputStream) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Deserialize a
RealMatrix
field in a class. - deserializeRealVector(Object, String, ObjectInputStream) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Deserialize a
RealVector
field in a class. - desiredMarkerIncrement - Variable in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Marker
-
Desired marker increment.
- desiredMarkerPosition - Variable in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Marker
-
Desired marker position.
- determineLMDirection(double[], double[], double[], double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Deprecated.Solve a*x = b and d*x = 0 in the least squares sense.
- determineLMDirection(double[], double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.Solve a*x = b and d*x = 0 in the least squares sense.
- determineLMDirection(double[], double[], double[], LevenbergMarquardtOptimizer.InternalData, int, double[], double[]) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
-
Solve a*x = b and d*x = 0 in the least squares sense.
- determineLMParameter(double[], double, double[], double[], double[], double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Deprecated.Determine the Levenberg-Marquardt parameter.
- determineLMParameter(double[], double, double[], double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.Determine the Levenberg-Marquardt parameter.
- determineLMParameter(double[], double, double[], LevenbergMarquardtOptimizer.InternalData, int, double[], double[], double[], double[], double) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
-
Determines the Levenberg-Marquardt parameter.
- dev - Variable in class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
-
Deviation of most recently added value from previous first moment.
- df(double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Computes approximate degrees of freedom for 2-sample t-test.
- dfbg - Variable in class org.apache.commons.math3.stat.inference.OneWayAnova.AnovaStats
-
Degrees of freedom in numerator (between groups).
- Dfp - Class in org.apache.commons.math3.dfp
-
Decimal floating point library for Java
- Dfp(Dfp) - Constructor for class org.apache.commons.math3.dfp.Dfp
-
Copy constructor.
- Dfp(DfpField) - Constructor for class org.apache.commons.math3.dfp.Dfp
-
Makes an instance with a value of zero.
- Dfp(DfpField, byte) - Constructor for class org.apache.commons.math3.dfp.Dfp
-
Create an instance from a byte value.
- Dfp(DfpField, byte, byte) - Constructor for class org.apache.commons.math3.dfp.Dfp
-
Creates an instance with a non-finite value.
- Dfp(DfpField, double) - Constructor for class org.apache.commons.math3.dfp.Dfp
-
Create an instance from a double value.
- Dfp(DfpField, int) - Constructor for class org.apache.commons.math3.dfp.Dfp
-
Create an instance from an int value.
- Dfp(DfpField, long) - Constructor for class org.apache.commons.math3.dfp.Dfp
-
Create an instance from a long value.
- Dfp(DfpField, String) - Constructor for class org.apache.commons.math3.dfp.Dfp
-
Create an instance from a String representation.
- dfp2sci() - Method in class org.apache.commons.math3.dfp.Dfp
-
Convert an instance to a string using scientific notation.
- dfp2string() - Method in class org.apache.commons.math3.dfp.Dfp
-
Convert an instance to a string using normal notation.
- DfpDec - Class in org.apache.commons.math3.dfp
-
Subclass of
Dfp
which hides the radix-10000 artifacts of the superclass. - DfpDec(Dfp) - Constructor for class org.apache.commons.math3.dfp.DfpDec
-
Copy constructor.
- DfpDec(DfpField) - Constructor for class org.apache.commons.math3.dfp.DfpDec
-
Makes an instance with a value of zero.
- DfpDec(DfpField, byte) - Constructor for class org.apache.commons.math3.dfp.DfpDec
-
Create an instance from a byte value.
- DfpDec(DfpField, byte, byte) - Constructor for class org.apache.commons.math3.dfp.DfpDec
-
Creates an instance with a non-finite value.
- DfpDec(DfpField, double) - Constructor for class org.apache.commons.math3.dfp.DfpDec
-
Create an instance from a double value.
- DfpDec(DfpField, int) - Constructor for class org.apache.commons.math3.dfp.DfpDec
-
Create an instance from an int value.
- DfpDec(DfpField, long) - Constructor for class org.apache.commons.math3.dfp.DfpDec
-
Create an instance from a long value.
- DfpDec(DfpField, String) - Constructor for class org.apache.commons.math3.dfp.DfpDec
-
Create an instance from a String representation.
- DfpField - Class in org.apache.commons.math3.dfp
-
Field for Decimal floating point instances.
- DfpField(int) - Constructor for class org.apache.commons.math3.dfp.DfpField
-
Create a factory for the specified number of radix digits.
- DfpField(int, boolean) - Constructor for class org.apache.commons.math3.dfp.DfpField
-
Create a factory for the specified number of radix digits.
- DfpField.RoundingMode - Enum in org.apache.commons.math3.dfp
-
Enumerate for rounding modes.
- DfpMath - Class in org.apache.commons.math3.dfp
-
Mathematical routines for use with
Dfp
. - DfpMath() - Constructor for class org.apache.commons.math3.dfp.DfpMath
-
Private Constructor.
- DftNormalization - Enum in org.apache.commons.math3.transform
-
This enumeration defines the various types of normalizations that can be applied to discrete Fourier transforms (DFT).
- DftNormalization() - Constructor for enum org.apache.commons.math3.transform.DftNormalization
- dfwg - Variable in class org.apache.commons.math3.stat.inference.OneWayAnova.AnovaStats
-
Degrees of freedom in denominator (within groups).
- diag - Variable in class org.apache.commons.math3.linear.JacobiPreconditioner
-
The diagonal coefficients of the preconditioner.
- diag(RealMatrix) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
- diag(RealMatrix) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- diagC - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Diagonal of C, used for diagonalOnly.
- diagC - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Diagonal of C, used for diagonalOnly.
- diagD - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Diagonal of sqrt(D), stored for efficiency.
- diagD - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Diagonal of sqrt(D), stored for efficiency.
- DiagonalMatrix - Class in org.apache.commons.math3.linear
-
Implementation of a diagonal matrix.
- DiagonalMatrix(double[]) - Constructor for class org.apache.commons.math3.linear.DiagonalMatrix
-
Creates a matrix using the input array as the underlying data.
- DiagonalMatrix(double[], boolean) - Constructor for class org.apache.commons.math3.linear.DiagonalMatrix
-
Creates a matrix using the input array as the underlying data.
- DiagonalMatrix(int) - Constructor for class org.apache.commons.math3.linear.DiagonalMatrix
-
Creates a matrix with the supplied dimension.
- diagonalOnly - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Defines the number of initial iterations, where the covariance matrix remains diagonal and the algorithm has internally linear time complexity.
- diagonalOnly - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Defines the number of initial iterations, where the covariance matrix remains diagonal and the algorithm has internally linear time complexity.
- diagR - Variable in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer.InternalData
-
Diagonal elements of the R matrix in the QR decomposition.
- diagR - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Deprecated.Diagonal elements of the R matrix in the Q.R.
- diagR - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.Diagonal elements of the R matrix in the Q.R.
- difference() - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Marker
-
Difference between desired and actual position
- difference(Region<S>, Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
-
Compute the difference of two regions.
- DifferenceMerger(Region<S>, Region<S>) - Constructor for class org.apache.commons.math3.geometry.partitioning.RegionFactory.DifferenceMerger
-
Simple constructor.
- DIFFERENT_ORIG_AND_PERMUTED_DATA - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- DIFFERENT_ROWS_LENGTHS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- DifferentiableMultivariateFunction - Interface in org.apache.commons.math3.analysis
-
Deprecated.as of 3.1 replaced by
MultivariateDifferentiableFunction
- DifferentiableMultivariateMultiStartOptimizer - Class in org.apache.commons.math3.optimization
-
Deprecated.As of 3.1 (to be removed in 4.0).
- DifferentiableMultivariateMultiStartOptimizer(DifferentiableMultivariateOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.DifferentiableMultivariateMultiStartOptimizer
-
Deprecated.Create a multi-start optimizer from a single-start optimizer.
- DifferentiableMultivariateOptimizer - Interface in org.apache.commons.math3.optimization
-
Deprecated.As of 3.1 (to be removed in 4.0).
- DifferentiableMultivariateVectorFunction - Interface in org.apache.commons.math3.analysis
-
Deprecated.as of 3.1 replaced by
MultivariateDifferentiableVectorFunction
- DifferentiableMultivariateVectorMultiStartOptimizer - Class in org.apache.commons.math3.optimization
-
Deprecated.As of 3.1 (to be removed in 4.0).
- DifferentiableMultivariateVectorMultiStartOptimizer(DifferentiableMultivariateVectorOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.DifferentiableMultivariateVectorMultiStartOptimizer
-
Deprecated.Create a multi-start optimizer from a single-start optimizer.
- DifferentiableMultivariateVectorOptimizer - Interface in org.apache.commons.math3.optimization
-
Deprecated.As of 3.1 (to be removed in 4.0).
- DifferentiableUnivariateFunction - Interface in org.apache.commons.math3.analysis
-
Deprecated.as of 3.1 replaced by
UnivariateDifferentiableFunction
- DifferentiableUnivariateMatrixFunction - Interface in org.apache.commons.math3.analysis
-
Deprecated.as of 3.1 replaced by
UnivariateDifferentiableMatrixFunction
- DifferentiableUnivariateSolver - Interface in org.apache.commons.math3.analysis.solvers
-
Deprecated.as of 3.1, replaced by
UnivariateDifferentiableSolver
- DifferentiableUnivariateVectorFunction - Interface in org.apache.commons.math3.analysis
-
Deprecated.as of 3.1 replaced by
UnivariateDifferentiableVectorFunction
- differentiate(double[]) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
-
Returns the coefficients of the derivative of the polynomial with the given coefficients.
- differentiate(UnivariateFunction) - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
-
Create an implementation of a
differential
from a regularfunction
. - differentiate(UnivariateFunction) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateFunctionDifferentiator
-
Create an implementation of a
differential
from a regularfunction
. - differentiate(UnivariateMatrixFunction) - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
-
Create an implementation of a
differential
from a regularmatrix function
. - differentiate(UnivariateMatrixFunction) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateMatrixFunctionDifferentiator
-
Create an implementation of a
differential
from a regularmatrix function
. - differentiate(UnivariateVectorFunction) - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
-
Create an implementation of a
differential
from a regularvector function
. - differentiate(UnivariateVectorFunction) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateVectorFunctionDifferentiator
-
Create an implementation of a
differential
from a regularvector function
. - differentiateThreePoint(double[], double[], int, int, int, int) - Method in class org.apache.commons.math3.analysis.interpolation.AkimaSplineInterpolator
-
Three point differentiation helper, modeled off of the same method in the Math.NET CubicSpline class.
- digamma(double) - Static method in class org.apache.commons.math3.special.Gamma
-
Computes the digamma function of x.
- DIGEST_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
-
Use empirical distribution.
- DIGEST_NOT_INITIALIZED - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- dim - Variable in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
-
Dimension of the vector.
- dimension - Variable in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere
-
Space dimension.
- dimension - Variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction
-
Deprecated.Space dimension.
- dimension - Variable in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
-
The number of dimensions or columns in the multivariate distribution.
- dimension - Variable in exception class org.apache.commons.math3.exception.DimensionMismatchException
-
Correct dimension.
- dimension - Variable in class org.apache.commons.math3.ode.EquationsMapper
-
Dimension of the secondary state parameters.
- dimension - Variable in class org.apache.commons.math3.ode.FirstOrderConverter
-
second order problem dimension.
- dimension - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
Simplex dimension (must be equal to
simplex.length - 1
). - dimension - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Number of objective variables/problem dimension
- dimension - Variable in class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.Simplex dimension (must be equal to
simplex.length - 1
). - dimension - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Number of objective variables/problem dimension
- dimension - Variable in class org.apache.commons.math3.random.HaltonSequenceGenerator
-
Space dimension.
- dimension - Variable in class org.apache.commons.math3.random.SobolSequenceGenerator
-
Space dimension.
- dimension - Variable in class org.apache.commons.math3.random.UnitSphereRandomVectorGenerator
-
Space dimension.
- dimension - Variable in class org.apache.commons.math3.stat.correlation.StorelessCovariance
-
dimension of the square covariance matrix
- dimension - Variable in class org.apache.commons.math3.util.MultidimensionalCounter
-
Number of dimensions.
- DIMENSION - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- DIMENSION - Static variable in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere2D
-
Space dimension.
- DimensionMismatchException - Exception Class in org.apache.commons.math3.exception
-
Exception to be thrown when two dimensions differ.
- DimensionMismatchException(int, int) - Constructor for exception class org.apache.commons.math3.exception.DimensionMismatchException
-
Construct an exception from the mismatched dimensions.
- DimensionMismatchException(Localizable, int, int) - Constructor for exception class org.apache.commons.math3.exception.DimensionMismatchException
-
Construct an exception from the mismatched dimensions.
- DIMENSIONS_MISMATCH - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- DIMENSIONS_MISMATCH_2x2 - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- DIMENSIONS_MISMATCH_SIMPLE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- dimensionSize - Variable in class org.apache.commons.math3.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
-
Deprecated.Size in all dimensions.
- direct - Variable in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
-
Orientation.
- direct - Variable in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
-
Orientation.
- direction - Variable in exception class org.apache.commons.math3.exception.NonMonotonicSequenceException
-
Direction (positive for increasing, negative for decreasing).
- direction - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Line direction.
- direction - Variable in class org.apache.commons.math3.random.SobolSequenceGenerator
-
The direction vector for each component.
- direction - Variable in enum org.apache.commons.math3.stat.descriptive.moment.SemiVariance.Direction
-
boolean value UPSIDE invalid input: '<'-> true
- Direction(boolean) - Constructor for enum org.apache.commons.math3.stat.descriptive.moment.SemiVariance.Direction
-
Create a Direction with the given value.
- dirtyParameter - Variable in class org.apache.commons.math3.ode.JacobianMatrices
-
Boolean for selected parameters consistency.
- dirtyState - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
indicator for dirty state.
- discardExtremeElements(int, boolean) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Discards the
i
first or last elements of the array, depending on the value offront
. - discardFrontElements(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Discards the
i
initial elements of the array. - discardMostRecentElements(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Discards the
i
last elements of the array. - DISCRETE_CUMULATIVE_PROBABILITY_RETURNED_NAN - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- DiskGenerator - Class in org.apache.commons.math3.geometry.euclidean.twod
-
Class generating an enclosing ball from its support points.
- DiskGenerator() - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.DiskGenerator
- distance - Variable in class org.apache.commons.math3.ml.neuralnet.sofm.KohonenUpdateAction
-
Distance function.
- distance - Variable in class org.apache.commons.math3.ml.neuralnet.twod.util.HitHistogram
-
Distance.
- distance - Variable in class org.apache.commons.math3.ml.neuralnet.twod.util.QuantizationError
-
Distance.
- distance - Variable in class org.apache.commons.math3.ml.neuralnet.twod.util.SmoothedDataHistogram
-
Distance.
- distance - Variable in class org.apache.commons.math3.ml.neuralnet.twod.util.TopographicErrorHistogram
-
Distance.
- distance - Variable in class org.apache.commons.math3.ml.neuralnet.twod.util.UnifiedDistanceMatrix
-
Distance.
- distance(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Calculates the L2 (Euclidean) distance between two points.
- distance(int[], int[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Calculates the L2 (Euclidean) distance between two points.
- distance(Vector1D, Vector1D) - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Compute the distance between two vectors according to the L2 norm.
- distance(FieldRotation<T>, FieldRotation<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Compute the distance between two rotations.
- distance(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Compute the distance between the instance and another vector according to the L2 norm.
- distance(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Compute the distance between two vectors according to the L2 norm.
- distance(FieldVector3D<T>, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Compute the distance between two vectors according to the L2 norm.
- distance(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Compute the shortest distance between the instance and another line.
- distance(Rotation, Rotation) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Compute the distance between two rotations.
- distance(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Compute the distance between the instance and another vector according to the L2 norm.
- distance(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Compute the distance between the instance and a point.
- distance(Vector3D, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Compute the distance between two vectors according to the L2 norm.
- distance(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Compute the distance between two vectors according to the L2 norm.
- distance(Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Compute the distance between the instance and a point.
- distance(Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Segment
-
Calculates the shortest distance from a point to this line segment.
- distance(Vector2D, Vector2D) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Compute the distance between two vectors according to the L2 norm.
- distance(Point<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Compute the distance between the instance and another point.
- distance(Point<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Compute the distance between the instance and another point.
- distance(Point<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Compute the distance between the instance and another point.
- distance(Point<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.S1Point
-
Compute the distance between the instance and another point.
- distance(Point<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
-
Compute the distance between the instance and another point.
- distance(Point<S>) - Method in interface org.apache.commons.math3.geometry.Point
-
Compute the distance between the instance and another point.
- distance(S1Point, S1Point) - Static method in class org.apache.commons.math3.geometry.spherical.oned.S1Point
-
Compute the distance (angular separation) between two points.
- distance(S2Point, S2Point) - Static method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
-
Compute the distance (angular separation) between two points.
- distance(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Deprecated.as of 3.3, replaced with
Vector1D.distance(Point)
- distance(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Compute the distance between the instance and another vector according to the L2 norm.
- distance(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Compute the distance between the instance and another vector according to the L2 norm.
- distance(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
-
Compute the distance between the instance and another vector according to the L2 norm.
- distance(Clusterable, Clusterable) - Method in class org.apache.commons.math3.ml.clustering.Clusterer
-
Calculates the distance between two
Clusterable
instances with the configuredDistanceMeasure
. - distance(Clusterable, Clusterable) - Method in class org.apache.commons.math3.ml.clustering.evaluation.ClusterEvaluator
-
Calculates the distance between two
Clusterable
instances with the configuredDistanceMeasure
. - distance1(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Calculates the L1 (sum of abs) distance between two points.
- distance1(int[], int[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Calculates the L1 (sum of abs) distance between two points.
- distance1(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Compute the distance between the instance and another vector according to the L1 norm.
- distance1(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Compute the distance between two vectors according to the L1 norm.
- distance1(FieldVector3D<T>, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Compute the distance between two vectors according to the L1 norm.
- distance1(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Compute the distance between the instance and another vector according to the L1 norm.
- distance1(Vector3D, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Compute the distance between two vectors according to the L1 norm.
- distance1(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Compute the distance between two vectors according to the L1 norm.
- distance1(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Compute the distance between the instance and another vector according to the L1 norm.
- distance1(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Compute the distance between the instance and another vector according to the L1 norm.
- distance1(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Compute the distance between the instance and another vector according to the L1 norm.
- distance1(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
-
Compute the distance between the instance and another vector according to the L1 norm.
- distanceFrom(EuclideanDoublePoint) - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
-
Deprecated.Returns the distance from the given point.
- distanceFrom(EuclideanIntegerPoint) - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
-
Deprecated.Returns the distance from the given point.
- distanceFrom(T) - Method in interface org.apache.commons.math3.stat.clustering.Clusterable
-
Deprecated.Returns the distance from the given point.
- distanceInf(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Calculates the L∞ (max of abs) distance between two points.
- distanceInf(int[], int[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Calculates the L∞ (max of abs) distance between two points.
- distanceInf(Vector1D, Vector1D) - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Compute the distance between two vectors according to the L∞ norm.
- distanceInf(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Compute the distance between the instance and another vector according to the L∞ norm.
- distanceInf(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Compute the distance between two vectors according to the L∞ norm.
- distanceInf(FieldVector3D<T>, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Compute the distance between two vectors according to the L∞ norm.
- distanceInf(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Compute the distance between the instance and another vector according to the L∞ norm.
- distanceInf(Vector3D, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Compute the distance between two vectors according to the L∞ norm.
- distanceInf(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Compute the distance between two vectors according to the L∞ norm.
- distanceInf(Vector2D, Vector2D) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Compute the distance between two vectors according to the L∞ norm.
- distanceInf(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Compute the distance between the instance and another vector according to the L∞ norm.
- distanceInf(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Compute the distance between the instance and another vector according to the L∞ norm.
- distanceInf(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Compute the distance between the instance and another vector according to the L∞ norm.
- distanceInf(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
-
Compute the distance between the instance and another vector according to the L∞ norm.
- DistanceMeasure - Interface in org.apache.commons.math3.ml.distance
-
Interface for distance measures of n-dimensional vectors.
- distanceSq(Vector1D, Vector1D) - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Compute the square of the distance between two vectors.
- distanceSq(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Compute the square of the distance between the instance and another vector.
- distanceSq(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Compute the square of the distance between two vectors.
- distanceSq(FieldVector3D<T>, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Compute the square of the distance between two vectors.
- distanceSq(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Compute the square of the distance between the instance and another vector.
- distanceSq(Vector3D, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Compute the square of the distance between two vectors.
- distanceSq(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Compute the square of the distance between two vectors.
- distanceSq(Vector2D, Vector2D) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Compute the square of the distance between two vectors.
- distanceSq(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Compute the square of the distance between the instance and another vector.
- distanceSq(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Compute the square of the distance between the instance and another vector.
- distanceSq(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Compute the square of the distance between the instance and another vector.
- distanceSq(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
-
Compute the square of the distance between the instance and another vector.
- distribution - Variable in class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
-
Mixture components.
- DISTRIBUTION_NOT_LOADED - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- divide(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
'÷' operator.
- divide(double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
'÷' operator.
- divide(double) - Method in class org.apache.commons.math3.complex.Complex
-
Returns a
Complex
whose value is(this / divisor)
, withdivisor
interpreted as a real number. - divide(double) - Method in class org.apache.commons.math3.dfp.Dfp
-
'÷' operator.
- divide(double) - Method in interface org.apache.commons.math3.RealFieldElement
-
'÷' operator.
- divide(double) - Method in class org.apache.commons.math3.util.Decimal64
-
'÷' operator.
- divide(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Perform division of two derivative structures.
- divide(int) - Method in class org.apache.commons.math3.dfp.Dfp
-
Divide by a single digit less than radix.
- divide(int) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Divide the value of this fraction by the passed
int
, iethis * 1 / i
, returning the result in reduced form. - divide(int) - Method in class org.apache.commons.math3.fraction.Fraction
-
Divide the fraction by an integer.
- divide(long) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Divide the value of this fraction by the passed
long
, iethis * 1 / l
, returning the result in reduced form. - divide(BigInteger) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Divide the value of this fraction by the passed
BigInteger
, iethis * 1 / bg
, returning the result in reduced form. - divide(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Compute this ÷ a.
- divide(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Compute this ÷ a.
- divide(Complex) - Method in class org.apache.commons.math3.complex.Complex
-
Returns a
Complex
whose value is(this / divisor)
. - divide(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
-
Divide this by divisor.
- divide(BigFraction) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Divide the value of this fraction by another, returning the result in reduced form.
- divide(Fraction) - Method in class org.apache.commons.math3.fraction.Fraction
-
Divide the value of this fraction by another.
- divide(RealMatrix, RealMatrix) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
- divide(RealMatrix, RealMatrix) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- divide(BigReal) - Method in class org.apache.commons.math3.util.BigReal
-
Compute this ÷ a.
- divide(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
-
Compute this ÷ a.
- divide(T) - Method in interface org.apache.commons.math3.FieldElement
-
Compute this ÷ a.
- Divide - Class in org.apache.commons.math3.analysis.function
-
Divide the first operand by the second.
- Divide() - Constructor for class org.apache.commons.math3.analysis.function.Divide
- DIVIDE_TRAP - Static variable in class org.apache.commons.math3.dfp.Dfp
-
Name for traps triggered by division.
- DividedDifferenceInterpolator - Class in org.apache.commons.math3.analysis.interpolation
-
Implements the Divided Difference Algorithm for interpolation of real univariate functions.
- DividedDifferenceInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.DividedDifferenceInterpolator
- divideRow(int, double) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Divides one row by a given divisor.
- divideRow(int, double) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Subtracts a multiple of one row from another.
- doCopy() - Method in class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaStepInterpolator
-
Really copy the finalized instance.
- doCopy() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Really copy the finalized instance.
- doCopy() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Really copy the finalized instance.
- doCopy() - Method in class org.apache.commons.math3.ode.nonstiff.EulerStepInterpolator
-
Really copy the finalized instance.
- doCopy() - Method in class org.apache.commons.math3.ode.nonstiff.GillStepInterpolator
-
Really copy the finalized instance.
- doCopy() - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
-
Really copy the finalized instance.
- doCopy() - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54StepInterpolator
-
Really copy the finalized instance.
- doCopy() - Method in class org.apache.commons.math3.ode.nonstiff.LutherStepInterpolator
-
Really copy the finalized instance.
- doCopy() - Method in class org.apache.commons.math3.ode.nonstiff.MidpointStepInterpolator
-
Really copy the finalized instance.
- doCopy() - Method in class org.apache.commons.math3.ode.nonstiff.ThreeEighthesStepInterpolator
-
Really copy the finalized instance.
- doCopy() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Really copy the finalized instance.
- doCopy() - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
-
Really copy the finalized instance.
- doFinalize() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Really finalize the step.
- doFinalize() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Really finalize the step.
- doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Method for implementing actual integration algorithms in derived classes.
- doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator
-
Method for implementing actual integration algorithms in derived classes.
- doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
-
Deprecated.Method for implementing actual integration algorithms in derived classes.
- doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.MidPointIntegrator
-
Method for implementing actual integration algorithms in derived classes.
- doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.RombergIntegrator
-
Method for implementing actual integration algorithms in derived classes.
- doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.SimpsonIntegrator
-
Method for implementing actual integration algorithms in derived classes.
- doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator
-
Method for implementing actual integration algorithms in derived classes.
- doIteration(SimplexTableau) - Method in class org.apache.commons.math3.optim.linear.SimplexSolver
-
Runs one iteration of the Simplex method on the given model.
- doIteration(SimplexTableau) - Method in class org.apache.commons.math3.optimization.linear.SimplexSolver
-
Deprecated.Runs one iteration of the Simplex method on the given model.
- doNormalizedStep(boolean) - Method in class org.apache.commons.math3.ode.sampling.FieldStepNormalizer
-
Invokes the underlying step handler for the current normalized step.
- doNormalizedStep(boolean) - Method in class org.apache.commons.math3.ode.sampling.StepNormalizer
-
Invokes the underlying step handler for the current normalized step.
- doOptimize() - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
-
Performs the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optim.BaseOptimizer
-
Performs the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optim.linear.SimplexSolver
-
Performs the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
-
Performs the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Performs the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Performs the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
-
Performs the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer
-
Performs the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.GaussNewtonOptimizer
-
Deprecated.Performs the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Deprecated.Performs the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optim.univariate.BrentOptimizer
-
Performs the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
-
Performs the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.Perform the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.Perform the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Perform the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Perform the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optimization.direct.PowellOptimizer
-
Deprecated.Perform the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optimization.direct.SimplexOptimizer
-
Deprecated.Perform the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
-
Deprecated.Perform the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.Perform the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
-
Deprecated.Perform the bulk of the optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
-
Deprecated.Perform the bulk of optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optimization.linear.SimplexSolver
-
Deprecated.Perform the bulk of optimization algorithm.
- doOptimize() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.Method for implementing actual optimization algorithms in derived classes.
- doOptimize() - Method in class org.apache.commons.math3.optimization.univariate.BrentOptimizer
-
Deprecated.Method for implementing actual optimization algorithms in derived classes.
- doRemove(int) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Remove an element at specified index.
- doRemove(int) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Remove an element at specified index.
- DormandPrince54FieldIntegrator<T> - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements the 5(4) Dormand-Prince integrator for Ordinary Differential Equations.
- DormandPrince54FieldIntegrator(Field<T>, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldIntegrator
-
Simple constructor.
- DormandPrince54FieldIntegrator(Field<T>, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldIntegrator
-
Simple constructor.
- DormandPrince54FieldStepInterpolator<T> - Class in org.apache.commons.math3.ode.nonstiff
-
This class represents an interpolator over the last step during an ODE integration for the 5(4) Dormand-Prince integrator.
- DormandPrince54FieldStepInterpolator(Field<T>, boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldStepInterpolator
-
Simple constructor.
- DormandPrince54Integrator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements the 5(4) Dormand-Prince integrator for Ordinary Differential Equations.
- DormandPrince54Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
-
Simple constructor.
- DormandPrince54Integrator(double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
-
Simple constructor.
- DormandPrince54StepInterpolator - Class in org.apache.commons.math3.ode.nonstiff
-
This class represents an interpolator over the last step during an ODE integration for the 5(4) Dormand-Prince integrator.
- DormandPrince54StepInterpolator() - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Simple constructor.
- DormandPrince54StepInterpolator(DormandPrince54StepInterpolator) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Copy constructor.
- DormandPrince853FieldIntegrator<T> - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements the 8(5,3) Dormand-Prince integrator for Ordinary Differential Equations.
- DormandPrince853FieldIntegrator(Field<T>, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator
-
Simple constructor.
- DormandPrince853FieldIntegrator(Field<T>, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator
-
Simple constructor.
- DormandPrince853FieldStepInterpolator<T> - Class in org.apache.commons.math3.ode.nonstiff
-
This class represents an interpolator over the last step during an ODE integration for the 8(5,3) Dormand-Prince integrator.
- DormandPrince853FieldStepInterpolator(Field<T>, boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldStepInterpolator
-
Simple constructor.
- DormandPrince853Integrator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements the 8(5,3) Dormand-Prince integrator for Ordinary Differential Equations.
- DormandPrince853Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
Simple constructor.
- DormandPrince853Integrator(double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
Simple constructor.
- DormandPrince853StepInterpolator - Class in org.apache.commons.math3.ode.nonstiff
-
This class represents an interpolator over the last step during an ODE integration for the 8(5,3) Dormand-Prince integrator.
- DormandPrince853StepInterpolator() - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Simple constructor.
- DormandPrince853StepInterpolator(DormandPrince853StepInterpolator) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Copy constructor.
- doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Method for implementing actual optimization algorithms in derived classes.
- doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
-
Method for implementing actual optimization algorithms in derived classes.
- doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BisectionSolver
-
Method for implementing actual optimization algorithms in derived classes.
- doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
-
Method for implementing actual optimization algorithms in derived classes.
- doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BrentSolver
-
Method for implementing actual optimization algorithms in derived classes.
- doSolve() - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver
-
Method for implementing actual optimization algorithms in derived classes.
- doSolve() - Method in class org.apache.commons.math3.analysis.solvers.MullerSolver
-
Method for implementing actual optimization algorithms in derived classes.
- doSolve() - Method in class org.apache.commons.math3.analysis.solvers.MullerSolver2
-
Method for implementing actual optimization algorithms in derived classes.
- doSolve() - Method in class org.apache.commons.math3.analysis.solvers.NewtonRaphsonSolver
-
Method for implementing actual optimization algorithms in derived classes.
- doSolve() - Method in class org.apache.commons.math3.analysis.solvers.NewtonSolver
-
Deprecated.Method for implementing actual optimization algorithms in derived classes.
- doSolve() - Method in class org.apache.commons.math3.analysis.solvers.RiddersSolver
-
Method for implementing actual optimization algorithms in derived classes.
- doSolve() - Method in class org.apache.commons.math3.analysis.solvers.SecantSolver
-
Method for implementing actual optimization algorithms in derived classes.
- dotProduct(Quaternion) - Method in class org.apache.commons.math3.complex.Quaternion
-
Computes the dot-product of the instance by a quaternion.
- dotProduct(Quaternion, Quaternion) - Static method in class org.apache.commons.math3.complex.Quaternion
-
Computes the dot-product of two quaternions.
- dotProduct(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Compute the dot-product of the instance and another vector.
- dotProduct(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Compute the dot-product of two vectors.
- dotProduct(FieldVector3D<T>, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Compute the dot-product of two vectors.
- dotProduct(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Compute the dot-product of the instance and another vector.
- dotProduct(Vector3D, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Compute the dot-product of two vectors.
- dotProduct(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Compute the dot-product of two vectors.
- dotProduct(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Compute the dot-product of the instance and another vector.
- dotProduct(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Compute the dot-product of the instance and another vector.
- dotProduct(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Compute the dot-product of the instance and another vector.
- dotProduct(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
-
Compute the dot-product of the instance and another vector.
- dotProduct(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Compute the dot product.
- dotProduct(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Compute the dot product.
- dotProduct(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Compute the dot product.
- dotProduct(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Compute the dot product.
- dotProduct(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Deprecated.as of 3.1 (to be removed in 4.0). The computation is performed by the parent class. The method must be kept to maintain backwards compatibility.
- dotProduct(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Compute the dot product of this vector with
v
. - dotProduct(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
-
Compute the dot product of this vector with
v
. - dotrap(int, String, Dfp, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
-
Raises a trap.
- DoubleArray - Interface in org.apache.commons.math3.util
-
Provides a standard interface for double arrays.
- doubleHighPart(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Get the high order bits from the mantissa.
- DoubleIndex(double, int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.DoubleIndex
- DoubleIndex(double, int) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer.DoubleIndex
-
Deprecated.
- DoublePoint - Class in org.apache.commons.math3.ml.clustering
-
A simple implementation of
Clusterable
for points with double coordinates. - DoublePoint(double[]) - Constructor for class org.apache.commons.math3.ml.clustering.DoublePoint
-
Build an instance wrapping an double array.
- DoublePoint(int[]) - Constructor for class org.apache.commons.math3.ml.clustering.DoublePoint
-
Build an instance wrapping an integer array.
- doubleValue() - Method in class org.apache.commons.math3.fraction.BigFraction
-
Gets the fraction as a
double
. - doubleValue() - Method in class org.apache.commons.math3.fraction.Fraction
-
Gets the fraction as a
double
. - doubleValue() - Method in class org.apache.commons.math3.util.BigReal
-
Get the double value corresponding to the instance.
- doubleValue() - Method in class org.apache.commons.math3.util.Decimal64
- DOWN - Enum constant in enum org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D.VerticalDirection
-
Row below the current row.
- DOWNSIDE - Enum constant in enum org.apache.commons.math3.stat.descriptive.moment.SemiVariance.Direction
-
The DOWNSIDE Direction is used to specify that the observations below the cutoff point will be used to calculate SemiVariance
- DOWNSIDE_VARIANCE - Static variable in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
The DOWNSIDE Direction is used to specify that the observations below the cutoff point will be used to calculate SemiVariance
- dropPhase1Objective() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Removes the phase 1 objective function, positive cost non-artificial variables, and the non-basic artificial variables from this tableau.
- dropPhase1Objective() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Removes the phase 1 objective function, positive cost non-artificial variables, and the non-basic artificial variables from this tableau.
- DSCompiler - Class in org.apache.commons.math3.analysis.differentiation
-
Class holding "compiled" computation rules for derivative structures.
- DSCompiler(int, int, DSCompiler, DSCompiler) - Constructor for class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Private constructor, reserved for the factory method
DSCompiler.getCompiler(int, int)
. - DstNormalization - Enum in org.apache.commons.math3.transform
-
This enumeration defines the various types of normalizations that can be applied to discrete sine transforms (DST).
- DstNormalization() - Constructor for enum org.apache.commons.math3.transform.DstNormalization
- DummyLocalizable - Class in org.apache.commons.math3.exception.util
-
Dummy implementation of the
Localizable
interface, without localization. - DummyLocalizable(String) - Constructor for class org.apache.commons.math3.exception.util.DummyLocalizable
-
Simple constructor.
- DummyStepHandler - Class in org.apache.commons.math3.ode.sampling
-
This class is a step handler that does nothing.
- DummyStepHandler() - Constructor for class org.apache.commons.math3.ode.sampling.DummyStepHandler
-
Private constructor.
- DummyStepHandler.LazyHolder - Class in org.apache.commons.math3.ode.sampling
-
Holder for the instance.
- DUPLICATED_ABSCISSA_DIVISION_BY_ZERO - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
E
- e - Variable in class org.apache.commons.math3.dfp.DfpField
-
A
Dfp
with value e. - e - Variable in class org.apache.commons.math3.ode.nonstiff.HighamHall54FieldIntegrator
-
Error weights Butcher array.
- E - Static variable in class org.apache.commons.math3.util.FastMath
-
Napier's constant e, base of the natural logarithm.
- e1 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldIntegrator
-
Error array, element 1.
- E1 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
-
Error array, element 1.
- e1_01 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator
-
First error weights array, element 1.
- E1_01 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
First error weights array, element 1.
- e1_06 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator
-
First error weights array, element 6.
- E1_06 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
First error weights array, element 6.
- e1_07 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator
-
First error weights array, element 7.
- E1_07 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
First error weights array, element 7.
- e1_08 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator
-
First error weights array, element 8.
- E1_08 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
First error weights array, element 8.
- e1_09 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator
-
First error weights array, element 9.
- E1_09 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
First error weights array, element 9.
- e1_10 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator
-
First error weights array, element 10.
- E1_10 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
First error weights array, element 10.
- e1_11 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator
-
First error weights array, element 11.
- E1_11 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
First error weights array, element 11.
- e1_12 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator
-
First error weights array, element 12.
- E1_12 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
First error weights array, element 12.
- e2_01 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator
-
Second error weights array, element 1.
- E2_01 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
Second error weights array, element 1.
- e2_06 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator
-
Second error weights array, element 6.
- E2_06 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
Second error weights array, element 6.
- e2_07 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator
-
Second error weights array, element 7.
- E2_07 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
Second error weights array, element 7.
- e2_08 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator
-
Second error weights array, element 8.
- E2_08 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
Second error weights array, element 8.
- e2_09 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator
-
Second error weights array, element 9.
- E2_09 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
Second error weights array, element 9.
- e2_10 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator
-
Second error weights array, element 10.
- E2_10 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
Second error weights array, element 10.
- e2_11 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator
-
Second error weights array, element 11.
- E2_11 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
Second error weights array, element 11.
- e2_12 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator
-
Second error weights array, element 12.
- E2_12 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
Second error weights array, element 12.
- e3 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldIntegrator
-
Error array, element 3.
- E3 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
-
Error array, element 3.
- e4 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldIntegrator
-
Error array, element 4.
- E4 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
-
Error array, element 4.
- e5 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldIntegrator
-
Error array, element 5.
- E5 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
-
Error array, element 5.
- e6 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldIntegrator
-
Error array, element 6.
- E6 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
-
Error array, element 6.
- e7 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldIntegrator
-
Error array, element 7.
- E7 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
-
Error array, element 7.
- EarthMoversDistance - Class in org.apache.commons.math3.ml.distance
-
Calculates the Earh Mover's distance (also known as Wasserstein metric) between two distributions.
- EarthMoversDistance() - Constructor for class org.apache.commons.math3.ml.distance.EarthMoversDistance
- ebeAdd(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Creates an array whose contents will be the element-by-element addition of the arguments.
- ebeDivide(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Creates an array whose contents will be the element-by-element division of the first argument by the second.
- ebeDivide(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Element-by-element division.
- ebeDivide(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Element-by-element division.
- ebeDivide(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Element-by-element division.
- ebeDivide(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Element-by-element division.
- ebeDivide(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Element-by-element division.
- ebeDivide(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Element-by-element division.
- ebeDivide(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
-
Element-by-element division.
- ebeMultiply(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Creates an array whose contents will be the element-by-element multiplication of the arguments.
- ebeMultiply(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Element-by-element multiplication.
- ebeMultiply(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Element-by-element multiplication.
- ebeMultiply(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Element-by-element multiplication.
- ebeMultiply(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Element-by-element multiplication.
- ebeMultiply(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Element-by-element multiplication.
- ebeMultiply(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Element-by-element multiplication.
- ebeMultiply(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
-
Element-by-element multiplication.
- ebeSubtract(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Creates an array whose contents will be the element-by-element subtraction of the second argument from the first.
- eDA - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Stored data values
- Edge - Class in org.apache.commons.math3.geometry.spherical.twod
-
Spherical polygons boundary edge.
- Edge(PolygonsSet.Vertex, PolygonsSet.Vertex, Line) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Edge
-
Build an edge not contained in any node yet.
- Edge(Vertex, Vertex, double, Circle) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.Edge
-
Build an edge not contained in any node yet.
- EDGE_CONNECTED_TO_ONE_FACET - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- EdgesBuilder - Class in org.apache.commons.math3.geometry.spherical.twod
-
Visitor building edges.
- EdgesBuilder(BSPTree<Sphere2D>, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.EdgesBuilder
-
Simple constructor.
- edgeToNode - Variable in class org.apache.commons.math3.geometry.spherical.twod.EdgesBuilder
-
Built edges and their associated nodes.
- efode - Variable in class org.apache.commons.math3.ode.JacobianMatrices
-
Expandable first order differential equation.
- EigenDecomposition - Class in org.apache.commons.math3.linear
-
Calculates the eigen decomposition of a real matrix.
- EigenDecomposition(double[], double[]) - Constructor for class org.apache.commons.math3.linear.EigenDecomposition
-
Calculates the eigen decomposition of the symmetric tridiagonal matrix.
- EigenDecomposition(double[], double[], double) - Constructor for class org.apache.commons.math3.linear.EigenDecomposition
-
Deprecated.in 3.1 (to be removed in 4.0) due to unused parameter
- EigenDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.EigenDecomposition
-
Calculates the eigen decomposition of the given real matrix.
- EigenDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math3.linear.EigenDecomposition
-
Deprecated.in 3.1 (to be removed in 4.0) due to unused parameter
- EigenDecomposition.Solver - Class in org.apache.commons.math3.linear
-
Specialized solver.
- eigenvalueNorm(int) - Method in class org.apache.commons.math3.linear.EigenDecomposition.Solver
- eigenvectors - Variable in class org.apache.commons.math3.linear.EigenDecomposition
-
Eigenvectors.
- eigenvectors - Variable in class org.apache.commons.math3.linear.EigenDecomposition.Solver
-
Eigenvectors.
- EIGHTHS - Static variable in class org.apache.commons.math3.util.FastMath
-
Eighths.
- element - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Deprecated.Element contained in the current node.
- ELITISM_RATE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- elitismRate - Variable in class org.apache.commons.math3.genetics.ElitisticListPopulation
-
percentage of chromosomes copied to the next generation
- ElitisticListPopulation - Class in org.apache.commons.math3.genetics
-
Population of chromosomes which uses elitism (certain percentage of the best chromosomes is directly copied to the next generation).
- ElitisticListPopulation(int, double) - Constructor for class org.apache.commons.math3.genetics.ElitisticListPopulation
-
Creates a new
ElitisticListPopulation
instance and initializes its inner chromosome list. - ElitisticListPopulation(List<Chromosome>, int, double) - Constructor for class org.apache.commons.math3.genetics.ElitisticListPopulation
-
Creates a new
ElitisticListPopulation
instance. - EmbeddedRungeKuttaFieldIntegrator<T> - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements the common part of all embedded Runge-Kutta integrators for Ordinary Differential Equations.
- EmbeddedRungeKuttaFieldIntegrator(Field<T>, String, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
-
Build a Runge-Kutta integrator with the given Butcher array.
- EmbeddedRungeKuttaFieldIntegrator(Field<T>, String, int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
-
Build a Runge-Kutta integrator with the given Butcher array.
- EmbeddedRungeKuttaIntegrator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements the common part of all embedded Runge-Kutta integrators for Ordinary Differential Equations.
- EmbeddedRungeKuttaIntegrator(String, boolean, double[], double[][], double[], RungeKuttaStepInterpolator, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Build a Runge-Kutta integrator with the given Butcher array.
- EmbeddedRungeKuttaIntegrator(String, boolean, double[], double[][], double[], RungeKuttaStepInterpolator, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Build a Runge-Kutta integrator with the given Butcher array.
- Embedding<S,
T> - Interface in org.apache.commons.math3.geometry.partitioning -
This interface defines mappers between a space and one of its sub-spaces.
- empiricalDistribution - Variable in class org.apache.commons.math3.random.ValueServer
-
Empirical probability distribution for use with DIGEST_MODE.
- EmpiricalDistribution - Class in org.apache.commons.math3.random
-
Represents an empirical probability distribution -- a probability distribution derived from observed data without making any assumptions about the functional form of the population distribution that the data come from.
- EmpiricalDistribution() - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
-
Creates a new EmpiricalDistribution with the default bin count.
- EmpiricalDistribution(int) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
-
Creates a new EmpiricalDistribution with the specified bin count.
- EmpiricalDistribution(int, RandomDataGenerator) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
-
Private constructor to allow lazy initialisation of the RNG contained in the
EmpiricalDistribution.randomData
instance variable. - EmpiricalDistribution(int, RandomDataImpl) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
-
Deprecated.As of 3.1. Please use
EmpiricalDistribution(int,RandomGenerator)
instead. - EmpiricalDistribution(int, RandomGenerator) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
-
Creates a new EmpiricalDistribution with the specified bin count using the provided
RandomGenerator
as the source of random data. - EmpiricalDistribution(RandomDataImpl) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
-
Deprecated.As of 3.1. Please use
EmpiricalDistribution(RandomGenerator)
instead. - EmpiricalDistribution(RandomGenerator) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
-
Creates a new EmpiricalDistribution with default bin count using the provided
RandomGenerator
as the source of random data. - EmpiricalDistribution.ArrayDataAdapter - Class in org.apache.commons.math3.random
-
DataAdapter
for data provided as array of doubles. - EmpiricalDistribution.DataAdapter - Class in org.apache.commons.math3.random
-
Provides methods for computing
sampleStats
andbeanStats
abstracting the source of data. - EmpiricalDistribution.StreamDataAdapter - Class in org.apache.commons.math3.random
-
DataAdapter
for data provided through some input stream - EMPTY_CLUSTER_IN_K_MEANS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- EMPTY_INTERPOLATION_SAMPLE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- EMPTY_POLYNOMIALS_COEFFICIENTS_ARRAY - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- EMPTY_SELECTED_COLUMN_INDEX_ARRAY - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- EMPTY_SELECTED_ROW_INDEX_ARRAY - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- EMPTY_STRING_FOR_IMAGINARY_CHARACTER - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- EmptyClusterStrategy() - Constructor for enum org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
- EmptyClusterStrategy() - Constructor for enum org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
-
Deprecated.
- emptyStrategy - Variable in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
-
Selected strategy for empty clusters.
- emptyStrategy - Variable in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
-
Deprecated.Selected strategy for empty clusters.
- enclose(Iterable<P>) - Method in interface org.apache.commons.math3.geometry.enclosing.Encloser
-
Find a ball enclosing a list of points.
- enclose(Iterable<P>) - Method in class org.apache.commons.math3.geometry.enclosing.WelzlEncloser
-
Find a ball enclosing a list of points.
- Encloser<S,
P> - Interface in org.apache.commons.math3.geometry.enclosing -
Interface for algorithms computing enclosing balls.
- EnclosingBall<S,
P> - Class in org.apache.commons.math3.geometry.enclosing -
This class represents a ball enclosing some points.
- EnclosingBall(P, double, P...) - Constructor for class org.apache.commons.math3.geometry.enclosing.EnclosingBall
-
Simple constructor.
- encode(int) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Deprecated.Encode the T-uple with a given offset.
- encoding - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Deprecated.Ordering encoding of the double components.
- end - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Segment
-
End point of the segments.
- end - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Edge
-
End vertex.
- end - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Segment
-
End point of the segment.
- end - Variable in class org.apache.commons.math3.geometry.spherical.twod.Edge
-
End vertex.
- end() - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixChangingVisitor
-
End visiting a matrix.
- end() - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixPreservingVisitor
-
End visiting a matrix.
- end() - Method in class org.apache.commons.math3.linear.DefaultRealMatrixChangingVisitor
-
End visiting a matrix.
- end() - Method in class org.apache.commons.math3.linear.DefaultRealMatrixPreservingVisitor
-
End visiting a matrix.
- end() - Method in interface org.apache.commons.math3.linear.FieldMatrixChangingVisitor
-
End visiting a matrix.
- end() - Method in interface org.apache.commons.math3.linear.FieldMatrixPreservingVisitor
-
End visiting a matrix.
- end() - Method in interface org.apache.commons.math3.linear.FieldVectorChangingVisitor
-
End visiting a vector.
- end() - Method in interface org.apache.commons.math3.linear.FieldVectorPreservingVisitor
-
End visiting a vector.
- end() - Method in interface org.apache.commons.math3.linear.RealMatrixChangingVisitor
-
End visiting a matrix.
- end() - Method in interface org.apache.commons.math3.linear.RealMatrixPreservingVisitor
-
End visiting a matrix.
- end() - Method in interface org.apache.commons.math3.linear.RealVectorChangingVisitor
-
End visiting a vector.
- end() - Method in interface org.apache.commons.math3.linear.RealVectorPreservingVisitor
-
End visiting a vector.
- end() - Method in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonFieldIntegrator.Corrector
-
End visiting the Nordsieck vector.
- end() - Method in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator.Corrector
-
End visiting the Nordsieck vector.
- endNode - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.ConnectableSegment
-
Node whose intersection with current node defines end point.
- ENDPOINTS_NOT_AN_INTERVAL - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- endTime - Variable in class org.apache.commons.math3.genetics.FixedElapsedTime
-
The predetermined termination time (stopping condition).
- ENMTEN - Static variable in class org.apache.commons.math3.special.BesselJ
-
Smallest ABS(X) such that X/4 does not underflow
- ENSIG - Static variable in class org.apache.commons.math3.special.BesselJ
-
Decimal significance desired.
- ensureDataConformance(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.MannWhitneyUTest
-
Ensures that the provided arrays fulfills the assumptions.
- ensureDataConformance(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
-
Ensures that the provided arrays fulfills the assumptions.
- ensureZero(double) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
-
Ensure a value is zero.
- ENTEN - Static variable in class org.apache.commons.math3.special.BesselJ
-
10.0^K, where K is the largest integer such that ENTEN is machine-representable in working precision
- entries - Variable in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Storage for (sparse) matrix elements.
- entries - Variable in class org.apache.commons.math3.linear.OpenMapRealVector
-
Entries of the vector.
- entries - Variable in class org.apache.commons.math3.linear.SparseFieldMatrix
-
Storage for (sparse) matrix elements.
- entries - Variable in class org.apache.commons.math3.linear.SparseFieldVector
-
Entries of the vector.
- entropy(long[]) - Method in class org.apache.commons.math3.stat.inference.GTest
-
Calculates the Shannon entropy for a vector.
- entropy(long[][]) - Method in class org.apache.commons.math3.stat.inference.GTest
-
Calculates the Shannon entropy for 2 Dimensional Matrix.
- Entry() - Constructor for class org.apache.commons.math3.linear.RealVector.Entry
-
Simple constructor.
- entrySetIterator() - Method in class org.apache.commons.math3.stat.Frequency
-
Return an Iterator over the set of keys and values that have been added.
- EnumeratedDistribution<T> - Class in org.apache.commons.math3.distribution
-
A generic implementation of a discrete probability distribution (Wikipedia) over a finite sample space, based on an enumerated list of <value, probability> pairs.
- EnumeratedDistribution(List<Pair<T, Double>>) - Constructor for class org.apache.commons.math3.distribution.EnumeratedDistribution
-
Create an enumerated distribution using the given probability mass function enumeration.
- EnumeratedDistribution(RandomGenerator, List<Pair<T, Double>>) - Constructor for class org.apache.commons.math3.distribution.EnumeratedDistribution
-
Create an enumerated distribution using the given random number generator and probability mass function enumeration.
- EnumeratedIntegerDistribution - Class in org.apache.commons.math3.distribution
-
Implementation of an integer-valued
EnumeratedDistribution
. - EnumeratedIntegerDistribution(int[]) - Constructor for class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
-
Create a discrete integer-valued distribution from the input data.
- EnumeratedIntegerDistribution(int[], double[]) - Constructor for class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
-
Create a discrete distribution using the given probability mass function definition.
- EnumeratedIntegerDistribution(RandomGenerator, int[]) - Constructor for class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
-
Create a discrete integer-valued distribution from the input data.
- EnumeratedIntegerDistribution(RandomGenerator, int[], double[]) - Constructor for class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
-
Create a discrete distribution using the given random number generator and probability mass function definition.
- EnumeratedRealDistribution - Class in org.apache.commons.math3.distribution
-
Implementation of a real-valued
EnumeratedDistribution
. - EnumeratedRealDistribution(double[]) - Constructor for class org.apache.commons.math3.distribution.EnumeratedRealDistribution
-
Create a discrete real-valued distribution from the input data.
- EnumeratedRealDistribution(double[], double[]) - Constructor for class org.apache.commons.math3.distribution.EnumeratedRealDistribution
-
Create a discrete real-valued distribution using the given probability mass function enumeration.
- EnumeratedRealDistribution(RandomGenerator, double[]) - Constructor for class org.apache.commons.math3.distribution.EnumeratedRealDistribution
-
Create a discrete real-valued distribution from the input data.
- EnumeratedRealDistribution(RandomGenerator, double[], double[]) - Constructor for class org.apache.commons.math3.distribution.EnumeratedRealDistribution
-
Create a discrete real-valued distribution using the given random number generator and probability mass function enumeration.
- eps - Variable in class org.apache.commons.math3.ml.clustering.DBSCANClusterer
-
Maximum radius of the neighborhood to be considered.
- eps - Variable in class org.apache.commons.math3.stat.clustering.DBSCANClusterer
-
Deprecated.Maximum radius of the neighborhood to be considered.
- EPS - Static variable in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Relative threshold for small singular values.
- EPS_MIN - Static variable in class org.apache.commons.math3.optim.univariate.BracketFinder
-
Tolerance to avoid division by zero.
- EPS_MIN - Static variable in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.Tolerance to avoid division by zero.
- epsilon - Variable in class org.apache.commons.math3.distribution.PoissonDistribution
-
Convergence criterion for cumulative probability.
- epsilon - Variable in class org.apache.commons.math3.linear.OpenMapRealVector
-
Tolerance for having a value considered zero.
- epsilon - Variable in class org.apache.commons.math3.linear.SchurTransformer
-
Epsilon criteria taken from JAMA code (originally was 2^-52).
- epsilon - Variable in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
-
The convergence criteria.
- epsilon - Variable in class org.apache.commons.math3.optim.linear.SimplexSolver
-
Amount of error to accept for algorithm convergence.
- epsilon - Variable in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Amount of error to accept when checking for optimality.
- epsilon - Variable in class org.apache.commons.math3.optimization.linear.SimplexSolver
-
Deprecated.Amount of error to accept for algorithm convergence.
- epsilon - Variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Amount of error to accept when checking for optimality.
- epsilon - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
zero tolerance
- EPSILON - Static variable in class org.apache.commons.math3.linear.EigenDecomposition
-
Internally used epsilon criteria.
- EPSILON - Static variable in class org.apache.commons.math3.util.Precision
-
Largest double-precision floating-point number such that
1 + EPSILON
is numerically equal to 1. - EQ - Enum constant in enum org.apache.commons.math3.optim.linear.Relationship
-
Equality relationship.
- EQ - Enum constant in enum org.apache.commons.math3.optimization.linear.Relationship
-
Deprecated.Equality relationship.
- EQUAL_VERTICES_IN_SIMPLEX - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- equals(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Returns
true
iff both arguments arenull
or have same dimensions and all their elements are equal as defined byPrecision.equals(double,double)
. - equals(double, double) - Static method in class org.apache.commons.math3.util.MathUtils
-
Returns
true
if the values are equal according to semantics ofDouble.equals(Object)
. - equals(double, double) - Static method in class org.apache.commons.math3.util.Precision
-
Returns true iff they are equal as defined by
equals(x, y, 1)
. - equals(double, double, double) - Static method in class org.apache.commons.math3.util.Precision
-
Returns
true
if there is no double value strictly between the arguments or the difference between them is within the range of allowed error (inclusive). - equals(double, double, int) - Static method in class org.apache.commons.math3.util.Precision
-
Returns true if the arguments are equal or within the range of allowed error (inclusive).
- equals(float[], float[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by
Precision.equals(float,float)
. - equals(float, float) - Static method in class org.apache.commons.math3.util.Precision
-
Returns true iff they are equal as defined by
equals(x, y, 1)
. - equals(float, float, float) - Static method in class org.apache.commons.math3.util.Precision
-
Returns true if the arguments are equal or within the range of allowed error (inclusive).
- equals(float, float, int) - Static method in class org.apache.commons.math3.util.Precision
-
Returns true if the arguments are equal or within the range of allowed error (inclusive).
- equals(Object) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Test for the equality of two derivative structures.
- equals(Object) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Test for the equality of two sparse gradients.
- equals(Object) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
- equals(Object) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils.JacobiKey
-
Check if the instance represent the same key as another instance.
- equals(Object) - Method in class org.apache.commons.math3.complex.Complex
-
Test for equality with another object.
- equals(Object) - Method in class org.apache.commons.math3.complex.Quaternion
- equals(Object) - Method in class org.apache.commons.math3.dfp.Dfp
-
Check if instance is equal to x.
- equals(Object) - Method in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization.DataRow
- equals(Object) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Test for the equality of two fractions.
- equals(Object) - Method in class org.apache.commons.math3.fraction.Fraction
-
Test for the equality of two fractions.
- equals(Object) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Test for the equality of two 1D vectors.
- equals(Object) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Test for the equality of two 3D vectors.
- equals(Object) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Test for the equality of two 3D vectors.
- equals(Object) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Test for the equality of two 2D vectors.
- equals(Object) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Deprecated.
- equals(Object) - Method in class org.apache.commons.math3.geometry.spherical.oned.S1Point
-
Test for the equality of two points on the 2-sphere.
- equals(Object) - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
-
Test for the equality of two points on the 2-sphere.
- equals(Object) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Returns true iff
object
is aFieldMatrix
instance with the same dimensions as this and all corresponding matrix entries are equal. - equals(Object) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns true iff
object
is aRealMatrix
instance with the same dimensions as this and all corresponding matrix entries are equal. - equals(Object) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Test for the equality of two vectors.
- equals(Object) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Test for the equality of two real vectors.
- equals(Object) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Test for the equality of two real vectors.
- equals(Object) - Method in class org.apache.commons.math3.linear.RealVector
-
Test for the equality of two real vectors.
- equals(Object) - Method in class org.apache.commons.math3.linear.SparseFieldVector
- equals(Object) - Method in class org.apache.commons.math3.ml.clustering.DoublePoint
- equals(Object) - Method in class org.apache.commons.math3.optim.linear.LinearConstraint
- equals(Object) - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
- equals(Object) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
- equals(Object) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.DoubleIndex
- equals(Object) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.DoubleIndex
-
Deprecated.
- equals(Object) - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
-
Deprecated.
- equals(Object) - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
-
Deprecated.
- equals(Object) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
- equals(Object) - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
-
Deprecated.
- equals(Object) - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
-
Deprecated.
- equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
-
Returns true iff
object
is anAbstractStorelessUnivariateStatistic
returning the same values as this forgetResult()
andgetN()
- equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics.AggregatingSummaryStatistics
-
Returns true iff
object
is aSummaryStatistics
instance and all statistics have the same values as this. - equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
- equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
- equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Returns true iff
object
is aMultivariateSummaryStatistics
instance and all statistics have the same values as this. - equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
-
Returns true iff
o
is aPSquarePercentile
returning the same values as this forgetResult()
andgetN()
and also having equal markers - equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Marker
-
This equals method checks for marker attributes and as well checks if navigation pointers (next and previous) are the same between this and passed in object
- equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Markers
-
.This equals method basically checks for marker array to be deep equals.
- equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
-
Returns true iff
object
is aStatisticalSummaryValues
instance and all statistics have the same values as this. - equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns true iff
object
is aSummaryStatistics
instance and all statistics have the same values as this. - equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Returns true iff
object
is aMultivariateSummaryStatistics
instance and all statistics have the same values as this. - equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns true iff
object
is aSummaryStatistics
instance and all statistics have the same values as this. - equals(Object) - Method in class org.apache.commons.math3.stat.Frequency
- equals(Object) - Method in class org.apache.commons.math3.util.BigReal
- equals(Object) - Method in class org.apache.commons.math3.util.Decimal64
- equals(Object) - Method in class org.apache.commons.math3.util.DefaultTransformer
- equals(Object) - Method in class org.apache.commons.math3.util.Pair
-
Compare the specified object with this entry for equality.
- equals(Object) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Returns true iff object is a ResizableDoubleArray with the same properties as this and an identical internal storage array.
- equals(Object) - Method in class org.apache.commons.math3.util.TransformerMap
- equals(Complex, Complex) - Static method in class org.apache.commons.math3.complex.Complex
-
Returns
true
iff the values are equal as defined byequals(x, y, 1)
. - equals(Complex, Complex, double) - Static method in class org.apache.commons.math3.complex.Complex
-
Returns
true
if, both for the real part and for the imaginary part, there is no double value strictly between the arguments or the difference between them is within the range of allowed error (inclusive). - equals(Complex, Complex, int) - Static method in class org.apache.commons.math3.complex.Complex
-
Test for the floating-point equality between Complex objects.
- equals(Quaternion, double) - Method in class org.apache.commons.math3.complex.Quaternion
-
Checks whether this instance is equal to another quaternion within a given tolerance.
- equalsIncludingNaN(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Returns
true
iff both arguments arenull
or have same dimensions and all their elements are equal as defined bythis method
. - equalsIncludingNaN(double, double) - Static method in class org.apache.commons.math3.util.Precision
-
Returns true if the arguments are both NaN or they are equal as defined by
equals(x, y, 1)
. - equalsIncludingNaN(double, double, double) - Static method in class org.apache.commons.math3.util.Precision
-
Returns true if the arguments are both NaN, are equal or are within the range of allowed error (inclusive).
- equalsIncludingNaN(double, double, int) - Static method in class org.apache.commons.math3.util.Precision
-
Returns true if both arguments are NaN or if they are equal as defined by
equals(x, y, maxUlps)
. - equalsIncludingNaN(float[], float[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by
this method
. - equalsIncludingNaN(float, float) - Static method in class org.apache.commons.math3.util.Precision
-
Returns true if both arguments are NaN or they are equal as defined by
equals(x, y, 1)
. - equalsIncludingNaN(float, float, float) - Static method in class org.apache.commons.math3.util.Precision
-
Returns true if the arguments are both NaN, are equal, or are within the range of allowed error (inclusive).
- equalsIncludingNaN(float, float, int) - Static method in class org.apache.commons.math3.util.Precision
-
Returns true if the arguments are both NaN or if they are equal as defined by
equals(x, y, maxUlps)
. - equalsWithRelativeTolerance(double, double, double) - Static method in class org.apache.commons.math3.util.Precision
-
Returns
true
if there is no double value strictly between the arguments or the relative difference between them is less than or equal to the given tolerance. - equalsWithRelativeTolerance(Complex, Complex, double) - Static method in class org.apache.commons.math3.complex.Complex
-
Returns
true
if, both for the real part and for the imaginary part, there is no double value strictly between the arguments or the relative difference between them is smaller or equal to the given tolerance. - equation - Variable in class org.apache.commons.math3.ode.ExpandableStatefulODE.SecondaryComponent
-
Secondary differential equation.
- equations - Variable in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Differential equations to integrate.
- equations - Variable in class org.apache.commons.math3.ode.FirstOrderConverter
-
Underlying second order equations set.
- EquationsMapper - Class in org.apache.commons.math3.ode
-
Class mapping the part of a complete state or derivative that pertains to a specific differential equation.
- EquationsMapper(int, int) - Constructor for class org.apache.commons.math3.ode.EquationsMapper
-
simple constructor.
- erf(double) - Static method in class org.apache.commons.math3.special.Erf
-
Returns the error function.
- erf(double, double) - Static method in class org.apache.commons.math3.special.Erf
-
Returns the difference between erf(x1) and erf(x2).
- Erf - Class in org.apache.commons.math3.special
-
This is a utility class that provides computation methods related to the error functions.
- Erf() - Constructor for class org.apache.commons.math3.special.Erf
-
Default constructor.
- erfc(double) - Static method in class org.apache.commons.math3.special.Erf
-
Returns the complementary error function.
- erfcInv(double) - Static method in class org.apache.commons.math3.special.Erf
-
Returns the inverse erfc.
- erfInv(double) - Static method in class org.apache.commons.math3.special.Erf
-
Returns the inverse erf.
- ERR_SCALE - Static variable in class org.apache.commons.math3.dfp.Dfp
-
The amount under/overflows are scaled by before going to trap handler
- errfac - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
-
Error coefficients for the interpolation.
- ERROR - Enum constant in enum org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
-
Generate an error.
- ERROR - Enum constant in enum org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
-
Deprecated.Generate an error.
- errorCovariance - Variable in class org.apache.commons.math3.filter.KalmanFilter
-
The error covariance matrix, equivalent to P.
- errorEstimation(double[], double[], double[], RealMatrix) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsBashforthIntegrator
-
Estimate error.
- errorEstimation(T[], T[], T[], FieldMatrix<T>) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsBashforthFieldIntegrator
-
Estimate error.
- eSplit - Variable in class org.apache.commons.math3.dfp.DfpField
-
A two elements
Dfp
array with value e split in two pieces. - estimate() - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Marker
-
Estimate the quantile for the current marker.
- estimate(double[][], int) - Static method in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization
-
Helper method to create a multivariate normal mixture model which can be used to initialize
MultivariateNormalMixtureExpectationMaximization.fit(MixtureMultivariateNormalDistribution)
. - estimate(double[], int[], double, int, KthSelector) - Method in enum org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType
-
Estimation based on Kth selection.
- estimate(int) - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Markers
-
An Estimate of the percentile value of a given Marker
- estimate(int) - Method in interface org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.PSquareMarkers
-
An Estimate of the percentile value of a given Marker
- estimateError(double[]) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
-
Estimate interpolation error.
- estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
-
Compute the error ratio.
- estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
Compute the error ratio.
- estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Compute the error ratio.
- estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
-
Compute the error ratio.
- estimateError(T[][], T[], T[], T) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldIntegrator
-
Compute the error ratio.
- estimateError(T[][], T[], T[], T) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator
-
Compute the error ratio.
- estimateError(T[][], T[], T[], T) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
-
Compute the error ratio.
- estimateError(T[][], T[], T[], T) - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54FieldIntegrator
-
Compute the error ratio.
- estimateErrorVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Estimates the variance of the error.
- estimateRegressandVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Returns the variance of the regressand, ie Var(y).
- estimateRegressandVariance() - Method in interface org.apache.commons.math3.stat.regression.MultipleLinearRegression
-
Returns the variance of the regressand, ie Var(y).
- estimateRegressionParameters() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Estimates the regression parameters b.
- estimateRegressionParameters() - Method in interface org.apache.commons.math3.stat.regression.MultipleLinearRegression
-
Estimates the regression parameters b.
- estimateRegressionParametersStandardErrors() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Returns the standard errors of the regression parameters.
- estimateRegressionParametersStandardErrors() - Method in interface org.apache.commons.math3.stat.regression.MultipleLinearRegression
-
Returns the standard errors of the regression parameters.
- estimateRegressionParametersVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Estimates the variance of the regression parameters, ie Var(b).
- estimateRegressionParametersVariance() - Method in interface org.apache.commons.math3.stat.regression.MultipleLinearRegression
-
Estimates the variance of the regression parameters, ie Var(b).
- estimateRegressionStandardError() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Estimates the standard error of the regression.
- estimateResiduals() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Estimates the residuals, ie u = y - X*b.
- estimateResiduals() - Method in interface org.apache.commons.math3.stat.regression.MultipleLinearRegression
-
Estimates the residuals, ie u = y - X*b.
- estimationType - Variable in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Any of the
Percentile.EstimationType
s such asCM
can be used. - EstimationType(String) - Constructor for enum org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType
-
Constructor
- eString - Static variable in class org.apache.commons.math3.dfp.DfpField
-
High precision string representation of e.
- Euclidean1D - Class in org.apache.commons.math3.geometry.euclidean.oned
-
This class implements a one-dimensional space.
- Euclidean1D() - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D
-
Private constructor for the singleton.
- Euclidean1D.LazyHolder - Class in org.apache.commons.math3.geometry.euclidean.oned
-
Holder for the instance.
- Euclidean1D.NoSubSpaceException - Exception Class in org.apache.commons.math3.geometry.euclidean.oned
-
Specialized exception for inexistent sub-space.
- Euclidean2D - Class in org.apache.commons.math3.geometry.euclidean.twod
-
This class implements a two-dimensional space.
- Euclidean2D() - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D
-
Private constructor for the singleton.
- Euclidean2D.LazyHolder - Class in org.apache.commons.math3.geometry.euclidean.twod
-
Holder for the instance.
- Euclidean3D - Class in org.apache.commons.math3.geometry.euclidean.threed
-
This class implements a three-dimensional space.
- Euclidean3D() - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D
-
Private constructor for the singleton.
- Euclidean3D.LazyHolder - Class in org.apache.commons.math3.geometry.euclidean.threed
-
Holder for the instance.
- EuclideanDistance - Class in org.apache.commons.math3.ml.distance
-
Calculates the L2 (Euclidean) distance between two points.
- EuclideanDistance() - Constructor for class org.apache.commons.math3.ml.distance.EuclideanDistance
- EuclideanDoublePoint - Class in org.apache.commons.math3.stat.clustering
-
Deprecated.As of 3.2 (to be removed in 4.0), use
DoublePoint
instead - EuclideanDoublePoint(double[]) - Constructor for class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
-
Deprecated.Build an instance wrapping an integer array.
- EuclideanIntegerPoint - Class in org.apache.commons.math3.stat.clustering
-
Deprecated.As of 3.2 (to be removed in 4.0), use
DoublePoint
instead - EuclideanIntegerPoint(int[]) - Constructor for class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
-
Deprecated.Build an instance wrapping an integer array.
- EULER - Static variable in class org.apache.commons.math3.distribution.GumbelDistribution
-
Approximation of Euler's constant see http://mathworld.wolfram.com/Euler-MascheroniConstantApproximations.html
- EULER_ANGLES_SINGULARITY - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- EulerFieldIntegrator<T> - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements a simple Euler integrator for Ordinary Differential Equations.
- EulerFieldIntegrator(Field<T>, T) - Constructor for class org.apache.commons.math3.ode.nonstiff.EulerFieldIntegrator
-
Simple constructor.
- EulerFieldStepInterpolator<T> - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements a linear interpolator for step.
- EulerFieldStepInterpolator(Field<T>, boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Constructor for class org.apache.commons.math3.ode.nonstiff.EulerFieldStepInterpolator
-
Simple constructor.
- EulerIntegrator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements a simple Euler integrator for Ordinary Differential Equations.
- EulerIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.EulerIntegrator
-
Simple constructor.
- EulerStepInterpolator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements a linear interpolator for step.
- EulerStepInterpolator() - Constructor for class org.apache.commons.math3.ode.nonstiff.EulerStepInterpolator
-
Simple constructor.
- EulerStepInterpolator(EulerStepInterpolator) - Constructor for class org.apache.commons.math3.ode.nonstiff.EulerStepInterpolator
-
Copy constructor.
- eval(UnivariateFunction, double) - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
- eval(UnivariateFunction, double) - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.
- evaluate() - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
-
Returns the result of evaluating the statistic over the stored data.
- evaluate(double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Returns the result of evaluating the statistic over the stored data.
- evaluate(double) - Method in class org.apache.commons.math3.util.ContinuedFraction
-
Evaluates the continued fraction at the value x.
- evaluate(double[]) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
-
This default implementation calls
AbstractStorelessUnivariateStatistic.clear()
, then invokesAbstractStorelessUnivariateStatistic.increment(double)
in a loop over the the input array, and then usesAbstractStorelessUnivariateStatistic.getResult()
to compute the return value. - evaluate(double[]) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
-
Returns the result of evaluating the statistic over the input array.
- evaluate(double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Returns the Standard Deviation of the entries in the input array, or
Double.NaN
if the array is empty. - evaluate(double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Returns the variance of the entries in the input array, or
Double.NaN
if the array is empty. - evaluate(double[]) - Method in interface org.apache.commons.math3.stat.descriptive.UnivariateStatistic
-
Returns the result of evaluating the statistic over the input array.
- evaluate(double[]) - Method in interface org.apache.commons.math3.util.MathArrays.Function
-
Operates on an entire array.
- evaluate(double[], double) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
-
Uses Horner's Method to evaluate the polynomial with the given coefficients at the argument.
- evaluate(double[], double) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Returns the
SemiVariance
of the designated values against the cutoff, using instance properties variancDirection and biasCorrection. - evaluate(double[], double) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Returns the Standard Deviation of the entries in the input array, using the precomputed mean value.
- evaluate(double[], double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Returns the variance of the entries in the input array, using the precomputed mean value.
- evaluate(double[], double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Returns an estimate of the
p
th percentile of the values in thevalues
array. - evaluate(double[], double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
-
Returns the weighted arithmetic mean of the entries in the input array.
- evaluate(double[], double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Returns the weighted variance of the entries in the the input array.
- evaluate(double[], double[]) - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
-
Returns the weighted product of the entries in the input array.
- evaluate(double[], double[]) - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
-
The weighted sum of the entries in the the input array.
- evaluate(double[], double[]) - Method in interface org.apache.commons.math3.stat.descriptive.WeightedEvaluation
-
Returns the result of evaluating the statistic over the input array, using the supplied weights.
- evaluate(double[], double[], double) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
-
Evaluate the Lagrange polynomial using Neville's Algorithm.
- evaluate(double[], double[], double) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
-
Evaluate the Newton polynomial using nested multiplication.
- evaluate(double[], double[], double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Returns the weighted variance of the values in the input array, using the precomputed weighted mean value.
- evaluate(double[], double[], double, int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Returns the weighted variance of the entries in the specified portion of the input array, using the precomputed weighted mean value.
- evaluate(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
-
Returns the weighted arithmetic mean of the entries in the specified portion of the input array, or
Double.NaN
if the designated subarray is empty. - evaluate(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Returns the weighted variance of the entries in the specified portion of the input array, or
Double.NaN
if the designated subarray is empty. - evaluate(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
-
Returns the weighted product of the entries in the specified portion of the input array, or
Double.NaN
if the designated subarray is empty. - evaluate(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
-
The weighted sum of the entries in the specified portion of the input array, or 0 if the designated subarray is empty.
- evaluate(double[], double[], int, int) - Method in interface org.apache.commons.math3.stat.descriptive.WeightedEvaluation
-
Returns the result of evaluating the statistic over the specified entries in the input array, using corresponding entries in the supplied weights array.
- evaluate(double[], double, int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Returns the Standard Deviation of the entries in the specified portion of the input array, using the precomputed mean value.
- evaluate(double[], double, int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Returns the variance of the entries in the specified portion of the input array, using the precomputed mean value.
- evaluate(double[], double, SemiVariance.Direction) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Returns the
SemiVariance
of the designated values against the cutoff in the given direction, using the current value of the biasCorrection instance property. - evaluate(double[], double, SemiVariance.Direction, boolean, int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Returns the
SemiVariance
of the designated values against the cutoff in the given direction with the provided bias correction. - evaluate(double[], double, KthSelector) - Method in enum org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType
-
Evaluate method to compute the percentile for a given bounded array.
- evaluate(double[], int[], double, KthSelector) - Method in enum org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType
- evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
-
This default implementation calls
AbstractStorelessUnivariateStatistic.clear()
, then invokesAbstractStorelessUnivariateStatistic.increment(double)
in a loop over the specified portion of the input array, and then usesAbstractStorelessUnivariateStatistic.getResult()
to compute the return value. - evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
-
Returns the result of evaluating the statistic over the specified entries in the input array.
- evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
-
Returns the geometric mean of the entries in the specified portion of the input array.
- evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
-
Returns the kurtosis of the entries in the specified portion of the input array.
- evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
-
Returns the arithmetic mean of the entries in the specified portion of the input array, or
Double.NaN
if the designated subarray is empty. - evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Returns the
SemiVariance
of the designated values against the mean, using instance properties varianceDirection and biasCorrection. - evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
-
Returns the Skewness of the entries in the specifed portion of the input array.
- evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Returns the Standard Deviation of the entries in the specified portion of the input array, or
Double.NaN
if the designated subarray is empty. - evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Returns the variance of the entries in the specified portion of the input array, or
Double.NaN
if the designated subarray is empty. - evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
-
Returns the maximum of the entries in the specified portion of the input array, or
Double.NaN
if the designated subarray is empty. - evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
-
Returns the minimum of the entries in the specified portion of the input array, or
Double.NaN
if the designated subarray is empty. - evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Returns an estimate of the
quantile
th percentile of the designated values in thevalues
array. - evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
-
Returns the product of the entries in the specified portion of the input array, or
Double.NaN
if the designated subarray is empty. - evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
-
The sum of the entries in the specified portion of the input array, or 0 if the designated subarray is empty.
- evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
-
Returns the sum of the natural logs of the entries in the specified portion of the input array, or
Double.NaN
if the designated subarray is empty. - evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
-
Returns the sum of the squares of the entries in the specified portion of the input array, or
Double.NaN
if the designated subarray is empty. - evaluate(double[], int, int) - Method in interface org.apache.commons.math3.stat.descriptive.UnivariateStatistic
-
Returns the result of evaluating the statistic over the specified entries in the input array.
- evaluate(double[], int, int) - Method in interface org.apache.commons.math3.util.MathArrays.Function
- evaluate(double[], int, int, double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Returns an estimate of the
p
th percentile of the values in thevalues
array, starting with the element in (0-based) positionbegin
in the array and includinglength
values. - evaluate(double[], SemiVariance.Direction) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
This method calculates
SemiVariance
for the entire array against the mean, using the current value of the biasCorrection instance property. - evaluate(double, double) - Method in class org.apache.commons.math3.util.ContinuedFraction
-
Evaluates the continued fraction at the value x.
- evaluate(double, double, int) - Method in class org.apache.commons.math3.util.ContinuedFraction
-
Evaluates the continued fraction at the value x.
- evaluate(double, int) - Method in class org.apache.commons.math3.util.ContinuedFraction
-
Evaluates the continued fraction at the value x.
- evaluate(DerivativeStructure, double, double[]) - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
-
Evaluate derivatives from a sample.
- evaluate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
Evaluate all the non-evaluated points of the simplex.
- evaluate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.Evaluate all the non-evaluated points of the simplex.
- evaluate(RealVector) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter
-
Evaluate the model at the specified point.
- evaluate(RealVector) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory.LocalLeastSquaresProblem
-
Evaluate the model at the specified point.
- evaluate(RealVector) - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem
-
Evaluate the model at the specified point.
- evaluateCompleteInterpolatedState() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Lazy evaluation of complete interpolated state.
- evaluateInternal(double[], double[], double) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
-
Evaluate the Lagrange polynomial using Neville's Algorithm.
- evaluateNewSimplex(MultivariateFunction, PointValuePair[], double, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
-
Compute and evaluate a new simplex.
- evaluateNewSimplex(MultivariateFunction, PointValuePair[], double, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
-
Deprecated.Compute and evaluate a new simplex.
- evaluateStep(FieldStepInterpolator<T>) - Method in class org.apache.commons.math3.ode.events.FieldEventState
-
Evaluate the impact of the proposed step on the event handler.
- evaluateStep(StepInterpolator) - Method in class org.apache.commons.math3.ode.events.EventState
-
Evaluate the impact of the proposed step on the event handler.
- EVALUATION - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- evaluationChecker(ConvergenceChecker<PointVectorValuePair>) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
-
View a convergence checker specified for a
PointVectorValuePair
as one specified for anLeastSquaresProblem.Evaluation
. - EvaluationRmsChecker - Class in org.apache.commons.math3.fitting.leastsquares
-
Check if an optimization has converged based on the change in computed RMS.
- EvaluationRmsChecker(double) - Constructor for class org.apache.commons.math3.fitting.leastsquares.EvaluationRmsChecker
-
Create a convergence checker for the RMS with the same relative and absolute tolerance.
- EvaluationRmsChecker(double, double) - Constructor for class org.apache.commons.math3.fitting.leastsquares.EvaluationRmsChecker
-
Create a convergence checker for the RMS with a relative and absolute tolerance.
- evaluations - Variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
The functions evaluation count.
- evaluations - Variable in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Evaluations counter.
- evaluations - Variable in class org.apache.commons.math3.analysis.solvers.FieldBracketingNthOrderBrentSolver
-
Evaluations counter.
- evaluations - Variable in class org.apache.commons.math3.fitting.leastsquares.OptimumImpl
-
number of evaluations to compute this optimum
- evaluations - Variable in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Counter for number of evaluations.
- evaluations - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
-
Counter for number of evaluations.
- evaluations - Variable in class org.apache.commons.math3.optim.BaseOptimizer
-
Evaluations counter.
- evaluations - Variable in class org.apache.commons.math3.optim.univariate.BracketFinder
-
Counter for function evaluations.
- evaluations - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.Evaluations counter.
- evaluations - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.Evaluations counter.
- evaluations - Variable in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.Evaluations counter.
- evaluations - Variable in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.Counter for function evaluations.
- EVALUATIONS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- evaluator - Variable in class org.apache.commons.math3.ml.clustering.MultiKMeansPlusPlusClusterer
-
The cluster evaluator to use.
- even - Variable in class org.apache.commons.math3.linear.FieldLUDecomposition
-
Parity of the permutation associated with the LU decomposition.
- even - Variable in class org.apache.commons.math3.linear.LUDecomposition
-
Parity of the permutation associated with the LU decomposition.
- EventFilter - Class in org.apache.commons.math3.ode.events
-
Wrapper used to detect only increasing or decreasing events.
- EventFilter(EventHandler, FilterType) - Constructor for class org.apache.commons.math3.ode.events.EventFilter
-
Wrap an
event handler
. - EventHandler - Interface in org.apache.commons.math3.ode.events
-
This interface represents a handler for discrete events triggered during ODE integration.
- EventHandler.Action - Enum in org.apache.commons.math3.ode.events
-
Enumerate for actions to be performed when an event occurs.
- eventOccurred(double, double[], boolean) - Method in class org.apache.commons.math3.ode.events.EventFilter
-
Handle an event and choose what to do next.
- eventOccurred(double, double[], boolean) - Method in interface org.apache.commons.math3.ode.events.EventHandler
-
Handle an event and choose what to do next.
- eventOccurred(FieldODEStateAndDerivative<T>, boolean) - Method in interface org.apache.commons.math3.ode.events.FieldEventHandler
-
Handle an event and choose what to do next.
- eventsStates - Variable in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Events states.
- eventsStates - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
-
Events states.
- EventState - Class in org.apache.commons.math3.ode.events
-
This class handles the state for one
event handler
during integration steps. - EventState(EventHandler, double, double, int, UnivariateSolver) - Constructor for class org.apache.commons.math3.ode.events.EventState
-
Simple constructor.
- EventState.LocalMaxCountExceededException - Exception Class in org.apache.commons.math3.ode.events
-
Local wrapper to propagate exceptions.
- evolve(Population, StoppingCondition) - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
Evolve the given population.
- EXACT_STIRLING_ERRORS - Static variable in class org.apache.commons.math3.distribution.SaddlePointExpansion
-
exact Stirling expansion error for certain values.
- exactK(double) - Method in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
-
Deprecated.Calculates the exact value of
P(D_n < d)
using method described in [1] andBigFraction
(see above). - exactK(double, int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Calculates the exact value of
P(D_n < d)
using the method described in [1] (reference in class javadoc above) andBigFraction
(see above). - exactLog2(int) - Static method in class org.apache.commons.math3.transform.TransformUtils
-
Returns the base-2 logarithm of the specified
int
. - exactP(double, int, int, boolean) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Computes \(P(D_{n,m} > d)\) if
strict
istrue
; otherwise \(P(D_{n,m} \ge d)\), where \(D_{n,m}\) is the 2-sample Kolmogorov-Smirnov statistic. - exactP(double, int, int, boolean) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- ExceptionContext - Class in org.apache.commons.math3.exception.util
-
Class that contains the actual implementation of the functionality mandated by the
ExceptionContext
interface. - ExceptionContext(Throwable) - Constructor for class org.apache.commons.math3.exception.util.ExceptionContext
-
Simple constructor.
- Exception context - Search tag in class org.apache.commons.math3.linear.ConjugateGradient
- Section
- Exception context - Search tag in class org.apache.commons.math3.linear.SymmLQ
- Section
- ExceptionContextProvider - Interface in org.apache.commons.math3.exception.util
-
Interface for accessing the context data structure stored in Commons Math exceptions.
- exp - Variable in class org.apache.commons.math3.dfp.Dfp
-
Exponent.
- exp - Variable in class org.apache.commons.math3.ode.MultistepFieldIntegrator
-
Stepsize control exponent.
- exp - Variable in class org.apache.commons.math3.ode.MultistepIntegrator
-
Stepsize control exponent.
- exp - Variable in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
-
Stepsize control exponent.
- exp - Variable in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Stepsize control exponent.
- exp() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Exponential.
- exp() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Exponential.
- exp() - Method in class org.apache.commons.math3.complex.Complex
-
Compute the exponential function of this complex number.
- exp() - Method in class org.apache.commons.math3.dfp.Dfp
-
Exponential.
- exp() - Method in interface org.apache.commons.math3.RealFieldElement
-
Exponential.
- exp() - Method in class org.apache.commons.math3.util.Decimal64
-
Exponential.
- exp(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Exponential function.
- exp(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute exponential of a derivative structure.
- exp(double, double, double[]) - Static method in class org.apache.commons.math3.util.FastMath
-
Internal helper method for exponential function.
- exp(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
Computes e to the given power.
- Exp - Class in org.apache.commons.math3.analysis.function
-
Exponential function.
- Exp() - Constructor for class org.apache.commons.math3.analysis.function.Exp
- EXP_FRAC_A - Static variable in class org.apache.commons.math3.util.FastMathLiteralArrays
-
Exponential over the range of 0 - 1 in increments of 2^-10 exp(x/1024) = expFracTableA[x] + expFracTableB[x].
- EXP_FRAC_B - Static variable in class org.apache.commons.math3.util.FastMathLiteralArrays
-
Exponential over the range of 0 - 1 in increments of 2^-10 exp(x/1024) = expFracTableA[x] + expFracTableB[x].
- EXP_FRAC_TABLE_A - Static variable in class org.apache.commons.math3.util.FastMath.ExpFracTable
-
Exponential over the range of 0 - 1 in increments of 2^-10 exp(x/1024) = expFracTableA[x] + expFracTableB[x].
- EXP_FRAC_TABLE_B - Static variable in class org.apache.commons.math3.util.FastMath.ExpFracTable
-
Exponential over the range of 0 - 1 in increments of 2^-10 exp(x/1024) = expFracTableA[x] + expFracTableB[x].
- EXP_FRAC_TABLE_LEN - Static variable in class org.apache.commons.math3.util.FastMath
-
Exponential fractions table length.
- EXP_INT_A - Static variable in class org.apache.commons.math3.util.FastMathLiteralArrays
-
Exponential evaluated at integer values, exp(x) = expIntTableA[x + EXP_INT_TABLE_MAX_INDEX] + expIntTableB[x+EXP_INT_TABLE_MAX_INDEX].
- EXP_INT_B - Static variable in class org.apache.commons.math3.util.FastMathLiteralArrays
-
Exponential evaluated at integer values, exp(x) = expIntTableA[x + EXP_INT_TABLE_MAX_INDEX] + expIntTableB[x+EXP_INT_TABLE_MAX_INDEX]
- EXP_INT_TABLE_A - Static variable in class org.apache.commons.math3.util.FastMath.ExpIntTable
-
Exponential evaluated at integer values, exp(x) = expIntTableA[x + EXP_INT_TABLE_MAX_INDEX] + expIntTableB[x+EXP_INT_TABLE_MAX_INDEX].
- EXP_INT_TABLE_B - Static variable in class org.apache.commons.math3.util.FastMath.ExpIntTable
-
Exponential evaluated at integer values, exp(x) = expIntTableA[x + EXP_INT_TABLE_MAX_INDEX] + expIntTableB[x+EXP_INT_TABLE_MAX_INDEX]
- EXP_INT_TABLE_LEN - Static variable in class org.apache.commons.math3.util.FastMath
-
Length of the array of integer exponentials.
- EXP_INT_TABLE_MAX_INDEX - Static variable in class org.apache.commons.math3.util.FastMath
-
Index of exp(0) in the array of integer exponentials.
- expand() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Expands the internal storage array using the expansion factor.
- expandable - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
-
Differential equations to integrate.
- expandable - Variable in class org.apache.commons.math3.ode.events.EventState
-
Equation being integrated.
- ExpandableStatefulODE - Class in org.apache.commons.math3.ode
-
This class represents a combined set of first order differential equations, with at least a primary set of equations expandable by some sets of secondary equations.
- ExpandableStatefulODE(FirstOrderDifferentialEquations) - Constructor for class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Build an expandable set from its primary ODE set.
- ExpandableStatefulODE.SecondaryComponent - Class in org.apache.commons.math3.ode
-
Components of the compound stateful ODE.
- expandCluster(Cluster<T>, T, List<T>, Collection<T>, Map<Clusterable, DBSCANClusterer.PointStatus>) - Method in class org.apache.commons.math3.ml.clustering.DBSCANClusterer
-
Expands the cluster to include density-reachable items.
- expandCluster(Cluster<T>, T, List<T>, Collection<T>, Map<Clusterable<T>, DBSCANClusterer.PointStatus>) - Method in class org.apache.commons.math3.stat.clustering.DBSCANClusterer
-
Deprecated.Expands the cluster to include density-reachable items.
- expandTo(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Expands the internal storage array to the specified size.
- EXPANSION_FACTOR_SMALLER_THAN_ONE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- expansionFactor - Variable in class org.apache.commons.math3.util.ResizableDoubleArray
-
The expansion factor of the array.
- expansionMode - Variable in class org.apache.commons.math3.util.ResizableDoubleArray
-
Determines whether array expansion by
expansionFactor
is additive or multiplicative. - ExpansionMode() - Constructor for enum org.apache.commons.math3.util.ResizableDoubleArray.ExpansionMode
- expected - Variable in exception class org.apache.commons.math3.exception.MultiDimensionMismatchException
-
Correct dimensions.
- ExpFracTable() - Constructor for class org.apache.commons.math3.util.FastMath.ExpFracTable
- expint(int, double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
-
Compute exp(p) for a integer p in extended precision.
- expInternal(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
Computes e to the given power.
- ExpIntTable() - Constructor for class org.apache.commons.math3.util.FastMath.ExpIntTable
- expm1() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Exponential minus 1.
- expm1() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Exponential minus 1.
- expm1() - Method in class org.apache.commons.math3.dfp.Dfp
-
Exponential minus 1.
- expm1() - Method in interface org.apache.commons.math3.RealFieldElement
-
Exponential minus 1.
- expm1() - Method in class org.apache.commons.math3.util.Decimal64
-
Exponential minus 1.
- expm1(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute exp(x) - 1
- expm1(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute exp(x) - 1 of a derivative structure.
- expm1(double, double[]) - Static method in class org.apache.commons.math3.util.FastMath
-
Internal helper method for expm1
- Expm1 - Class in org.apache.commons.math3.analysis.function
-
ex-1
function. - Expm1() - Constructor for class org.apache.commons.math3.analysis.function.Expm1
- exponent - Variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereProjectionInterpolator
-
Brightness exponent.
- exponent - Variable in class org.apache.commons.math3.distribution.ZipfDistribution
-
Exponent parameter of the distribution.
- exponent - Variable in class org.apache.commons.math3.distribution.ZipfDistribution.ZipfRejectionInversionSampler
-
Exponent parameter of the distribution.
- exponent(long) - Static method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Deprecated.Extract the exponent from the bits of a double.
- EXPONENT - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- EXPONENT_MASK - Static variable in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Deprecated.Exponent bits mask.
- EXPONENT_OFFSET - Static variable in class org.apache.commons.math3.util.Precision
-
Exponent offset in IEEE754 representation.
- exponential - Variable in class org.apache.commons.math3.distribution.PoissonDistribution
-
Distribution needed for the
PoissonDistribution.sample()
method. - EXPONENTIAL_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
-
Exponential random deviates with mean = μ.
- EXPONENTIAL_SA_QI - Static variable in class org.apache.commons.math3.distribution.ExponentialDistribution
-
Used when generating Exponential samples.
- exponentialDecay(double, double, long) - Static method in class org.apache.commons.math3.ml.neuralnet.sofm.LearningFactorFunctionFactory
-
Creates an exponential decay
function
. - exponentialDecay(double, double, long) - Static method in class org.apache.commons.math3.ml.neuralnet.sofm.NeighbourhoodSizeFunctionFactory
-
Creates an exponential decay
function
. - ExponentialDecayFunction - Class in org.apache.commons.math3.ml.neuralnet.sofm.util
-
Exponential decay function:
a e-x / b
, wherex
is the (integer) independent variable. - ExponentialDecayFunction(double, double, long) - Constructor for class org.apache.commons.math3.ml.neuralnet.sofm.util.ExponentialDecayFunction
-
Creates an instance.
- ExponentialDistribution - Class in org.apache.commons.math3.distribution
-
Implementation of the exponential distribution.
- ExponentialDistribution(double) - Constructor for class org.apache.commons.math3.distribution.ExponentialDistribution
-
Create an exponential distribution with the given mean.
- ExponentialDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.ExponentialDistribution
-
Create an exponential distribution with the given mean.
- ExponentialDistribution(RandomGenerator, double) - Constructor for class org.apache.commons.math3.distribution.ExponentialDistribution
-
Creates an exponential distribution.
- ExponentialDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.ExponentialDistribution
-
Creates an exponential distribution.
- exShift - Variable in class org.apache.commons.math3.linear.SchurTransformer.ShiftInfo
-
Indicates an exceptional shift.
- extend - Variable in class org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator
-
Number of extension points.
- extractEquationData(double[], double[]) - Method in class org.apache.commons.math3.ode.EquationsMapper
-
Extract equation data from a complete state or derivative array.
- extractEquationData(int, T[]) - Method in class org.apache.commons.math3.ode.FieldEquationsMapper
-
Extract equation data from a complete state or derivative array.
- extractField(T[]) - Static method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Get the elements type from an array.
- extractField(T[][]) - Static method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Get the elements type from an array.
- extrapolate(int, int, double[][], double[]) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
Extrapolate a vector.
- extremeT - Variable in class org.apache.commons.math3.ode.events.EventFilter
-
Extreme time encountered so far.
- eye(int, int) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
- eye(int, int) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
F
- f - Variable in class org.apache.commons.math3.analysis.differentiation.GradientFunction
-
Underlying real-valued function.
- f - Variable in class org.apache.commons.math3.analysis.differentiation.JacobianFunction
-
Underlying vector-valued function.
- f - Variable in class org.apache.commons.math3.fitting.AbstractCurveFitter.TheoreticalValuesFunction
-
Function to fit.
- f - Variable in class org.apache.commons.math3.fitting.CurveFitter.TheoreticalValuesFunction
-
Deprecated.Function to fit.
- f - Variable in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Linear objective function.
- f - Variable in class org.apache.commons.math3.optimization.fitting.CurveFitter.OldTheoreticalValuesFunction
-
Deprecated.Function to fit.
- f - Variable in class org.apache.commons.math3.optimization.fitting.CurveFitter.TheoreticalValuesFunction
-
Deprecated.Function to fit.
- f - Variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Linear objective function.
- F - Variable in class org.apache.commons.math3.stat.inference.OneWayAnova.AnovaStats
-
Statistic.
- F_1_11 - Static variable in class org.apache.commons.math3.util.FastMath
-
Constant: 0.09090909090909091.
- F_1_13 - Static variable in class org.apache.commons.math3.util.FastMath
-
Constant: 0.07692307692307693.
- F_1_15 - Static variable in class org.apache.commons.math3.util.FastMath
-
Constant: 0.06666666666666667.
- F_1_17 - Static variable in class org.apache.commons.math3.util.FastMath
-
Constant: 0.058823529411764705.
- F_1_2 - Static variable in class org.apache.commons.math3.util.FastMath
-
Constant: 0.5.
- F_1_3 - Static variable in class org.apache.commons.math3.util.FastMath
-
Constant: 0.3333333333333333.
- F_1_4 - Static variable in class org.apache.commons.math3.util.FastMath
-
Constant: 0.25.
- F_1_5 - Static variable in class org.apache.commons.math3.util.FastMath
-
Constant: 0.2.
- F_1_7 - Static variable in class org.apache.commons.math3.util.FastMath
-
Constant: 0.14285714285714285.
- F_1_9 - Static variable in class org.apache.commons.math3.util.FastMath
-
Constant: 0.1111111111111111.
- F_11_12 - Static variable in class org.apache.commons.math3.util.FastMath
-
Constant: 0.9166666666666666.
- F_13_14 - Static variable in class org.apache.commons.math3.util.FastMath
-
Constant: 0.9285714285714286.
- F_15_16 - Static variable in class org.apache.commons.math3.util.FastMath
-
Constant: 0.9375.
- F_3_4 - Static variable in class org.apache.commons.math3.util.FastMath
-
Constant: 0.75.
- F_5_6 - Static variable in class org.apache.commons.math3.util.FastMath
-
Constant: 0.8333333333333334.
- F_7_8 - Static variable in class org.apache.commons.math3.util.FastMath
-
Constant: 0.875.
- F_9_10 - Static variable in class org.apache.commons.math3.util.FastMath
-
Constant: 0.9.
- Facet(double[]) - Constructor for class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere.Facet
- FACET_ORIENTATION_MISMATCH - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- FacetData(double, double) - Constructor for class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere.FacetData
- FacetsContributionVisitor() - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.FacetsContributionVisitor
-
Simple constructor.
- FACT - Static variable in class org.apache.commons.math3.special.BesselJ
-
First 25 factorials as doubles
- FACT - Static variable in class org.apache.commons.math3.util.FastMathCalc
-
Factorial table, for Taylor series expansions.
- factor - Variable in class org.apache.commons.math3.distribution.TDistribution
-
Static computation factor based on degreesOfFreedom.
- factorial(int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Deprecated.
- factorial(int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
-
Returns n!.
- FACTORIAL_NEGATIVE_PARAMETER - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- factorialDouble(int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Deprecated.
- factorialDouble(int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
- factorialLog(int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Deprecated.
- factorialLog(int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
-
Compute the natural logarithm of the factorial of
n
. - FACTORIALS - Static variable in class org.apache.commons.math3.util.CombinatoricsUtils
-
All long-representable factorials
- FACTORY - Static variable in class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator
-
Factory that computes the points and weights.
- FAILED - Enum constant in enum org.apache.commons.math3.stat.ranking.NaNStrategy
-
NaNs result in an exception
- FAILED_BRACKETING - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- FAILED_FRACTION_CONVERSION - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- FARTHEST_POINT - Enum constant in enum org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
-
Create a cluster around the point farthest from its centroid.
- FARTHEST_POINT - Enum constant in enum org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
-
Deprecated.Create a cluster around the point farthest from its centroid.
- FastCosineTransformer - Class in org.apache.commons.math3.transform
-
Implements the Fast Cosine Transform for transformation of one-dimensional real data sets.
- FastCosineTransformer(DctNormalization) - Constructor for class org.apache.commons.math3.transform.FastCosineTransformer
-
Creates a new instance of this class, with various normalization conventions.
- FastFourierTransformer - Class in org.apache.commons.math3.transform
-
Implements the Fast Fourier Transform for transformation of one-dimensional real or complex data sets.
- FastFourierTransformer(DftNormalization) - Constructor for class org.apache.commons.math3.transform.FastFourierTransformer
-
Creates a new instance of this class, with various normalization conventions.
- FastFourierTransformer.MultiDimensionalComplexMatrix - Class in org.apache.commons.math3.transform
-
Deprecated.see MATH-736
- FastHadamardTransformer - Class in org.apache.commons.math3.transform
-
Implements the Fast Hadamard Transform (FHT).
- FastHadamardTransformer() - Constructor for class org.apache.commons.math3.transform.FastHadamardTransformer
- FastMath - Class in org.apache.commons.math3.util
-
Faster, more accurate, portable alternative to
Math
andStrictMath
for large scale computation. - FastMath() - Constructor for class org.apache.commons.math3.util.FastMath
-
Private Constructor
- FastMath.CodyWaite - Class in org.apache.commons.math3.util
-
Enclose the Cody/Waite reduction (used in "sin", "cos" and "tan").
- FastMath.ExpFracTable - Class in org.apache.commons.math3.util
-
Enclose large data table in nested static class so it's only loaded on first access.
- FastMath.ExpIntTable - Class in org.apache.commons.math3.util
-
Enclose large data table in nested static class so it's only loaded on first access.
- FastMath.lnMant - Class in org.apache.commons.math3.util
-
Enclose large data table in nested static class so it's only loaded on first access.
- FastMath.Split - Class in org.apache.commons.math3.util
-
Class operator on double numbers split into one 26 bits number and one 27 bits number.
- FastMathCalc - Class in org.apache.commons.math3.util
-
Class used to compute the classical functions tables.
- FastMathCalc() - Constructor for class org.apache.commons.math3.util.FastMathCalc
-
Private Constructor.
- FastMathLiteralArrays - Class in org.apache.commons.math3.util
-
Utility class for loading tabulated data used by
FastMath
. - FastMathLiteralArrays() - Constructor for class org.apache.commons.math3.util.FastMathLiteralArrays
-
Class contains only static methods.
- FastSineTransformer - Class in org.apache.commons.math3.transform
-
Implements the Fast Sine Transform for transformation of one-dimensional real data sets.
- FastSineTransformer(DstNormalization) - Constructor for class org.apache.commons.math3.transform.FastSineTransformer
-
Creates a new instance of this class, with various normalization conventions.
- fAtInterpolationPoints - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Values of the objective function at the interpolation points.
- fAtInterpolationPoints - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Values of the objective function at the interpolation points.
- fct(double[]) - Method in class org.apache.commons.math3.transform.FastCosineTransformer
-
Perform the FCT algorithm (including inverse).
- FDistribution - Class in org.apache.commons.math3.distribution
-
Implementation of the F-distribution.
- FDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.FDistribution
-
Creates an F distribution using the given degrees of freedom.
- FDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.FDistribution
-
Creates an F distribution using the given degrees of freedom and inverse cumulative probability accuracy.
- FDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.FDistribution
-
Creates an F distribution.
- FDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.FDistribution
-
Creates an F distribution.
- FeatureInitializer - Interface in org.apache.commons.math3.ml.neuralnet
-
Defines how to assign the first value of a neuron's feature.
- FeatureInitializerFactory - Class in org.apache.commons.math3.ml.neuralnet
-
Creates functions that will select the initial values of a neuron's features.
- FeatureInitializerFactory() - Constructor for class org.apache.commons.math3.ml.neuralnet.FeatureInitializerFactory
-
Class contains only static methods.
- features - Variable in class org.apache.commons.math3.ml.neuralnet.Neuron
-
Neuron data.
- features - Variable in class org.apache.commons.math3.ml.neuralnet.Neuron.SerializationProxy
-
Features.
- featuresIterator - Variable in class org.apache.commons.math3.ml.neuralnet.sofm.KohonenTrainingTask
-
Training data.
- featureSize - Variable in class org.apache.commons.math3.ml.neuralnet.Network
-
Neuron's features set size.
- featureSize - Variable in class org.apache.commons.math3.ml.neuralnet.Network.SerializationProxy
-
Number of features.
- featuresList - Variable in class org.apache.commons.math3.ml.neuralnet.oned.NeuronString.SerializationProxy
-
Neurons' features.
- featuresList - Variable in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D.SerializationProxy
-
Neurons' features.
- fHi - Variable in exception class org.apache.commons.math3.exception.NoBracketingException
-
Value at higher end of the interval.
- fHi - Variable in class org.apache.commons.math3.optim.univariate.BracketFinder
-
Function value at
BracketFinder.hi
. - fHi - Variable in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.Function value at
BracketFinder.hi
. - fht(double[]) - Method in class org.apache.commons.math3.transform.FastHadamardTransformer
-
The FHT (Fast Hadamard Transformation) which uses only subtraction and addition.
- fht(int[]) - Method in class org.apache.commons.math3.transform.FastHadamardTransformer
-
Returns the forward transform of the specified integer data set.
- field - Variable in class org.apache.commons.math3.analysis.solvers.FieldBracketingNthOrderBrentSolver
-
Field to which the elements belong.
- field - Variable in class org.apache.commons.math3.dfp.Dfp
-
Factory building similar Dfp's.
- field - Variable in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Field to which the elements belong.
- field - Variable in class org.apache.commons.math3.linear.ArrayFieldVector
-
Field to which the elements belong.
- field - Variable in class org.apache.commons.math3.linear.FieldLUDecomposition
-
Field to which the elements belong.
- field - Variable in class org.apache.commons.math3.linear.FieldLUDecomposition.Solver
-
Field to which the elements belong.
- field - Variable in class org.apache.commons.math3.linear.SparseFieldVector
-
Field to which the elements belong.
- field - Variable in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Field to which the time and state vector elements belong.
- field - Variable in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckFieldTransformer
-
Field to which the time and state vector elements belong.
- field - Variable in class org.apache.commons.math3.ode.nonstiff.RungeKuttaFieldStepInterpolator
-
Field to which the time and state vector elements belong.
- field - Variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Field to which the elements belong.
- Field<T> - Interface in org.apache.commons.math3
-
Interface representing a field.
- FieldBracketingNthOrderBrentSolver<T> - Class in org.apache.commons.math3.analysis.solvers
-
This class implements a modification of the Brent algorithm.
- FieldBracketingNthOrderBrentSolver(T, T, T, int) - Constructor for class org.apache.commons.math3.analysis.solvers.FieldBracketingNthOrderBrentSolver
-
Construct a solver.
- FieldButcherArrayProvider<T> - Interface in org.apache.commons.math3.ode.nonstiff
-
This interface represents an integrator based on Butcher arrays.
- FieldDecompositionSolver<T> - Interface in org.apache.commons.math3.linear
-
Interface handling decomposition algorithms that can solve A × X = B.
- FieldElement<T> - Interface in org.apache.commons.math3
-
Interface representing field elements.
- FieldEquationsMapper<T> - Class in org.apache.commons.math3.ode
-
Class mapping the part of a complete state or derivative that pertains to a set of differential equations.
- FieldEquationsMapper(FieldEquationsMapper<T>, int) - Constructor for class org.apache.commons.math3.ode.FieldEquationsMapper
-
Create a mapper by adding a new equation to another mapper.
- FieldEventHandler<T> - Interface in org.apache.commons.math3.ode.events
-
This interface represents a handler for discrete events triggered during ODE integration.
- FieldEventState<T> - Class in org.apache.commons.math3.ode.events
-
This class handles the state for one
event handler
during integration steps. - FieldEventState(FieldEventHandler<T>, double, T, int, BracketedRealFieldUnivariateSolver<T>) - Constructor for class org.apache.commons.math3.ode.events.FieldEventState
-
Simple constructor.
- FieldExpandableODE<T> - Class in org.apache.commons.math3.ode
-
This class represents a combined set of first order differential equations, with at least a primary set of equations expandable by some sets of secondary equations.
- FieldExpandableODE(FirstOrderFieldDifferentialEquations<T>) - Constructor for class org.apache.commons.math3.ode.FieldExpandableODE
-
Build an expandable set from its primary ODE set.
- FieldFixedStepHandler<T> - Interface in org.apache.commons.math3.ode.sampling
-
This interface represents a handler that should be called after each successful fixed step.
- FieldHermiteInterpolator<T> - Class in org.apache.commons.math3.analysis.interpolation
-
Polynomial interpolator using both sample values and sample derivatives.
- FieldHermiteInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.FieldHermiteInterpolator
-
Create an empty interpolator.
- FieldLUDecomposition<T> - Class in org.apache.commons.math3.linear
-
Calculates the LUP-decomposition of a square matrix.
- FieldLUDecomposition(FieldMatrix<T>) - Constructor for class org.apache.commons.math3.linear.FieldLUDecomposition
-
Calculates the LU-decomposition of the given matrix.
- FieldLUDecomposition.Solver<T> - Class in org.apache.commons.math3.linear
-
Specialized solver.
- FieldMatrix<T> - Interface in org.apache.commons.math3.linear
-
Interface defining field-valued matrix with basic algebraic operations.
- FieldMatrixChangingVisitor<T> - Interface in org.apache.commons.math3.linear
-
Interface defining a visitor for matrix entries.
- FieldMatrixPreservingVisitor<T> - Interface in org.apache.commons.math3.linear
-
Interface defining a visitor for matrix entries.
- FieldNordsieckInitializer(FieldEquationsMapper<T>, int) - Constructor for class org.apache.commons.math3.ode.MultistepFieldIntegrator.FieldNordsieckInitializer
-
Simple constructor.
- FieldODEState<T> - Class in org.apache.commons.math3.ode
-
Container for time, main and secondary state vectors.
- FieldODEState(T, T[]) - Constructor for class org.apache.commons.math3.ode.FieldODEState
-
Simple constructor.
- FieldODEState(T, T[], T[][]) - Constructor for class org.apache.commons.math3.ode.FieldODEState
-
Simple constructor.
- FieldODEStateAndDerivative<T> - Class in org.apache.commons.math3.ode
-
Container for time, main and secondary state vectors as well as their derivatives.
- FieldODEStateAndDerivative(T, T[], T[]) - Constructor for class org.apache.commons.math3.ode.FieldODEStateAndDerivative
-
Simple constructor.
- FieldODEStateAndDerivative(T, T[], T[], T[][], T[][]) - Constructor for class org.apache.commons.math3.ode.FieldODEStateAndDerivative
-
Simple constructor.
- FieldRotation<T> - Class in org.apache.commons.math3.geometry.euclidean.threed
-
This class is a re-implementation of
Rotation
usingRealFieldElement
. - FieldRotation(FieldVector3D<T>, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Build one of the rotations that transform one vector into another one.
- FieldRotation(FieldVector3D<T>, FieldVector3D<T>, FieldVector3D<T>, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Build the rotation that transforms a pair of vectors into another pair.
- FieldRotation(FieldVector3D<T>, T) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Deprecated.as of 3.6, replaced with
FieldRotation(FieldVector3D, RealFieldElement, RotationConvention)
- FieldRotation(FieldVector3D<T>, T, RotationConvention) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Build a rotation from an axis and an angle.
- FieldRotation(RotationOrder, RotationConvention, T, T, T) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Build a rotation from three Cardan or Euler elementary rotations.
- FieldRotation(RotationOrder, T, T, T) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Deprecated.
- FieldRotation(T[][], double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Build a rotation from a 3X3 matrix.
- FieldRotation(T, T, T, T, boolean) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Build a rotation from the quaternion coordinates.
- FieldSecondaryEquations<T> - Interface in org.apache.commons.math3.ode
-
This interface allows users to add secondary differential equations to a primary set of differential equations.
- FieldStepHandler<T> - Interface in org.apache.commons.math3.ode.sampling
-
This interface represents a handler that should be called after each successful step.
- FieldStepInterpolator<T> - Interface in org.apache.commons.math3.ode.sampling
-
This interface represents an interpolator over the last step during an ODE integration.
- FieldStepNormalizer<T> - Class in org.apache.commons.math3.ode.sampling
-
This class wraps an object implementing
FieldFixedStepHandler
into aFieldStepHandler
. - FieldStepNormalizer(double, FieldFixedStepHandler<T>) - Constructor for class org.apache.commons.math3.ode.sampling.FieldStepNormalizer
-
Simple constructor.
- FieldStepNormalizer(double, FieldFixedStepHandler<T>, StepNormalizerBounds) - Constructor for class org.apache.commons.math3.ode.sampling.FieldStepNormalizer
-
Simple constructor.
- FieldStepNormalizer(double, FieldFixedStepHandler<T>, StepNormalizerMode) - Constructor for class org.apache.commons.math3.ode.sampling.FieldStepNormalizer
-
Simple constructor.
- FieldStepNormalizer(double, FieldFixedStepHandler<T>, StepNormalizerMode, StepNormalizerBounds) - Constructor for class org.apache.commons.math3.ode.sampling.FieldStepNormalizer
-
Simple constructor.
- FieldVector<T> - Interface in org.apache.commons.math3.linear
-
Interface defining a field-valued vector with basic algebraic operations.
- FieldVector3D<T> - Class in org.apache.commons.math3.geometry.euclidean.threed
-
This class is a re-implementation of
Vector3D
usingRealFieldElement
. - FieldVector3D(double, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Multiplicative constructor Build a vector from another one and a scale factor.
- FieldVector3D(double, FieldVector3D<T>, double, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Linear constructor Build a vector from two other ones and corresponding scale factors.
- FieldVector3D(double, FieldVector3D<T>, double, FieldVector3D<T>, double, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Linear constructor Build a vector from three other ones and corresponding scale factors.
- FieldVector3D(double, FieldVector3D<T>, double, FieldVector3D<T>, double, FieldVector3D<T>, double, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Linear constructor Build a vector from four other ones and corresponding scale factors.
- FieldVector3D(T[]) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Simple constructor.
- FieldVector3D(T, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Multiplicative constructor Build a vector from another one and a scale factor.
- FieldVector3D(T, FieldVector3D<T>, T, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Linear constructor Build a vector from two other ones and corresponding scale factors.
- FieldVector3D(T, FieldVector3D<T>, T, FieldVector3D<T>, T, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Linear constructor Build a vector from three other ones and corresponding scale factors.
- FieldVector3D(T, FieldVector3D<T>, T, FieldVector3D<T>, T, FieldVector3D<T>, T, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Linear constructor Build a vector from four other ones and corresponding scale factors.
- FieldVector3D(T, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Multiplicative constructor Build a vector from another one and a scale factor.
- FieldVector3D(T, Vector3D, T, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Linear constructor Build a vector from two other ones and corresponding scale factors.
- FieldVector3D(T, Vector3D, T, Vector3D, T, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Linear constructor Build a vector from three other ones and corresponding scale factors.
- FieldVector3D(T, Vector3D, T, Vector3D, T, Vector3D, T, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Linear constructor Build a vector from four other ones and corresponding scale factors.
- FieldVector3D(T, T) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Simple constructor.
- FieldVector3D(T, T, T) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Simple constructor.
- FieldVectorChangingVisitor<T> - Interface in org.apache.commons.math3.linear
-
This interface defines a visitor for the entries of a vector.
- FieldVectorPreservingVisitor<T> - Interface in org.apache.commons.math3.linear
-
This interface defines a visitor for the entries of a vector.
- FILE_CHARSET - Static variable in class org.apache.commons.math3.random.EmpiricalDistribution
-
Character set for file input
- FILE_CHARSET - Static variable in class org.apache.commons.math3.random.SobolSequenceGenerator
-
Character set for file input.
- filePointer - Variable in class org.apache.commons.math3.random.ValueServer
-
File pointer for REPLAY_MODE.
- fill(double[]) - Method in class org.apache.commons.math3.random.ValueServer
-
Fills the input array with values generated using getNext() repeatedly.
- fill(double[], List<Integer>, double) - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Sets
data[i] = value
for each i intiesTrace.
- fill(int) - Method in class org.apache.commons.math3.random.ValueServer
-
Returns an array of length
length
with values generated using getNext() repeatedly. - fillBinStats(EmpiricalDistribution.DataAdapter) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Fills binStats array (second pass through data file).
- fillBooleanArrayRandomlyWithFixedNumberTrueValues(boolean[], int, RandomGenerator) - Static method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Fills a boolean array randomly with a fixed number of
true
values. - filter - Variable in class org.apache.commons.math3.ode.events.EventFilter
-
Filter to use.
- filterSpuriousVertices(List<Segment>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
-
Filter out spurious vertices on straight lines (at machine precision).
- filterStep(double, boolean, boolean) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Filter the integration step.
- filterStep(T, boolean, boolean) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
-
Filter the integration step.
- FilterType - Enum in org.apache.commons.math3.ode.events
-
Enumerate for
filtering events
. - FilterType() - Constructor for enum org.apache.commons.math3.ode.events.FilterType
- finalized - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
indicate if the step has been finalized or not.
- finalizeStep() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Finalize the step.
- finalK - Variable in class org.apache.commons.math3.util.FastMath.CodyWaite
-
k
- finalRemA - Variable in class org.apache.commons.math3.util.FastMath.CodyWaite
-
remA
- finalRemB - Variable in class org.apache.commons.math3.util.FastMath.CodyWaite
-
remB
- finalTime - Variable in class org.apache.commons.math3.ode.ContinuousOutputFieldModel
-
Final integration time.
- finalTime - Variable in class org.apache.commons.math3.ode.ContinuousOutputModel
-
Final integration time.
- findAndUpdateBestNeuron(Network, double[], double) - Method in class org.apache.commons.math3.ml.neuralnet.sofm.KohonenUpdateAction
-
Searches for the neuron whose features are closest to the given sample, and atomically updates its features.
- findBasicRow(int) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Returns the row in which the given column is basic.
- findBest(double[], Iterable<Neuron>, DistanceMeasure) - Static method in class org.apache.commons.math3.ml.neuralnet.MapUtils
-
Finds the neuron that best matches the given features.
- findBestAndSecondBest(double[], Iterable<Neuron>, DistanceMeasure) - Static method in class org.apache.commons.math3.ml.neuralnet.MapUtils
-
Finds the two neurons that best match the given features.
- findBin(double) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Returns the index of the bin to which the given value belongs
- findCellAndUpdateMinMax(double) - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Markers
-
Finds the cell where the input observation / value fits.
- findEigenVectors(double[][]) - Method in class org.apache.commons.math3.linear.EigenDecomposition
-
Find eigenvalues and eigenvectors (Dubrulle et al., 1971)
- findEigenVectorsFromSchur(SchurTransformer) - Method in class org.apache.commons.math3.linear.EigenDecomposition
-
Find eigenvectors from a matrix transformed to Schur form.
- findHullVertices(Collection<Vector2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.hull.AbstractConvexHullGenerator2D
-
Find the convex hull vertices from the set of input points.
- findHullVertices(Collection<Vector2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.hull.MonotoneChain
-
Find the convex hull vertices from the set of input points.
- findInsertionIndex(int) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Find the index at which a key should be inserted
- findInsertionIndex(int) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Find the index at which a key should be inserted
- findInsertionIndex(int[], byte[], int, int) - Static method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Find the index at which a key should be inserted
- findInsertionIndex(int[], byte[], int, int) - Static method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Find the index at which a key should be inserted
- findMaxY(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.fitting.GaussianCurveFitter.ParameterGuesser
-
Finds index of point in specified points with the largest Y.
- findMaxY(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
-
Deprecated.Finds index of point in specified points with the largest Y.
- findMaxY(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
-
Deprecated.Finds index of point in specified points with the largest Y.
- findReferences(List<Vector3D>, List<int[]>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
-
Find the facets that reference each edges.
- findSameChromosome(Population) - Method in class org.apache.commons.math3.genetics.Chromosome
-
Searches the
population
for another chromosome with the same representation. - findSmallSubDiagonalElement(int, double) - Method in class org.apache.commons.math3.linear.SchurTransformer
-
Find the first small sub-diagonal element and returns its index.
- findUpperBound(UnivariateFunction, double, double) - Method in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
-
Deprecated.Find the upper bound b ensuring bracketing of a root between a and b.
- FINITE - Static variable in class org.apache.commons.math3.dfp.Dfp
-
Indicator value for normal finite numbers.
- FiniteDifferencesDifferentiator - Class in org.apache.commons.math3.analysis.differentiation
-
Univariate functions differentiator using finite differences.
- FiniteDifferencesDifferentiator(int, double) - Constructor for class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
-
Build a differentiator with number of points and step size when independent variable is unbounded.
- FiniteDifferencesDifferentiator(int, double, double, double) - Constructor for class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
-
Build a differentiator with number of points and step size when independent variable is bounded.
- finiteOrNullPoint(double) - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Build a finite point.
- fireInitializationEvent(IterationEvent) - Method in class org.apache.commons.math3.util.IterationManager
-
Informs all registered listeners that the initial phase (prior to the main iteration loop) has been completed.
- fireIterationPerformedEvent(IterationEvent) - Method in class org.apache.commons.math3.util.IterationManager
-
Informs all registered listeners that a new iteration (in the main iteration loop) has been performed.
- fireIterationStartedEvent(IterationEvent) - Method in class org.apache.commons.math3.util.IterationManager
-
Informs all registered listeners that a new iteration (in the main iteration loop) has been started.
- fireTerminationEvent(IterationEvent) - Method in class org.apache.commons.math3.util.IterationManager
-
Informs all registered listeners that the final phase (post-iterations) has been completed.
- first - Variable in class org.apache.commons.math3.genetics.ChromosomePair
-
the first chromosome in the pair.
- first - Variable in class org.apache.commons.math3.ode.sampling.FieldStepNormalizer
-
First step state.
- first - Variable in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds
-
Whether the first point should be passed to the underlying fixed step size step handler.
- FIRST - Enum constant in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds
-
Include the first point, but not the last point.
- FIRST_COLUMNS_NOT_INITIALIZED_YET - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- FIRST_ELEMENT_NOT_ZERO - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- FIRST_ROWS_NOT_INITIALIZED_YET - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- firstIncluded() - Method in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds
-
Returns a value indicating whether the first point should be passed to the underlying fixed step size step handler.
- firstIndex - Variable in class org.apache.commons.math3.ode.EquationsMapper
-
Index of the first equation element in complete state arrays.
- firstIntersection(Vector3D, Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
-
Get the first sub-hyperplane crossed by a semi-infinite line.
- FirstMoment - Class in org.apache.commons.math3.stat.descriptive.moment
-
Computes the first moment (arithmetic mean).
- FirstMoment() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
-
Create a FirstMoment instance
- FirstMoment(FirstMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
-
Copy constructor, creates a new
FirstMoment
identical to theoriginal
- FirstOrderConverter - Class in org.apache.commons.math3.ode
-
This class converts second order differential equations to first order ones.
- FirstOrderConverter(SecondOrderDifferentialEquations) - Constructor for class org.apache.commons.math3.ode.FirstOrderConverter
-
Simple constructor.
- FirstOrderDifferentialEquations - Interface in org.apache.commons.math3.ode
-
This interface represents a first order differential equations set.
- FirstOrderFieldDifferentialEquations<T> - Interface in org.apache.commons.math3.ode
-
This interface represents a first order differential equations set.
- FirstOrderFieldIntegrator<T> - Interface in org.apache.commons.math3.ode
-
This interface represents a first order integrator for differential equations.
- FirstOrderIntegrator - Interface in org.apache.commons.math3.ode
-
This interface represents a first order integrator for differential equations.
- firstStart - Variable in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet.SubArcsIterator
-
Start of the first arc.
- firstTime - Variable in class org.apache.commons.math3.ode.sampling.StepNormalizer
-
First step time.
- fit() - Method in class org.apache.commons.math3.fitting.GaussianFitter
-
Deprecated.Fits a Gaussian function to the observed points.
- fit() - Method in class org.apache.commons.math3.fitting.HarmonicFitter
-
Deprecated.Fit an harmonic function to the observed points.
- fit() - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter
-
Deprecated.Fits a Gaussian function to the observed points.
- fit() - Method in class org.apache.commons.math3.optimization.fitting.HarmonicFitter
-
Deprecated.Fit an harmonic function to the observed points.
- fit() - Method in class org.apache.commons.math3.optimization.fitting.PolynomialFitter
-
Deprecated.Since 3.1 (to be removed in 4.0). Please use
PolynomialFitter.fit(double[])
instead. - fit(double[]) - Method in class org.apache.commons.math3.fitting.GaussianFitter
-
Deprecated.Fits a Gaussian function to the observed points.
- fit(double[]) - Method in class org.apache.commons.math3.fitting.HarmonicFitter
-
Deprecated.Fit an harmonic function to the observed points.
- fit(double[]) - Method in class org.apache.commons.math3.fitting.PolynomialFitter
-
Deprecated.Get the coefficients of the polynomial fitting the weighted data points.
- fit(double[]) - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter
-
Deprecated.Fits a Gaussian function to the observed points.
- fit(double[]) - Method in class org.apache.commons.math3.optimization.fitting.HarmonicFitter
-
Deprecated.Fit an harmonic function to the observed points.
- fit(double[]) - Method in class org.apache.commons.math3.optimization.fitting.PolynomialFitter
-
Deprecated.Get the coefficients of the polynomial fitting the weighted data points.
- fit(int, double[]) - Method in class org.apache.commons.math3.fitting.PolynomialFitter
-
Deprecated.Get the coefficients of the polynomial fitting the weighted data points.
- fit(int, double[]) - Method in class org.apache.commons.math3.optimization.fitting.PolynomialFitter
-
Deprecated.Get the coefficients of the polynomial fitting the weighted data points.
- fit(int, T, double[]) - Method in class org.apache.commons.math3.fitting.CurveFitter
-
Deprecated.Fit a curve.
- fit(int, T, double[]) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
-
Deprecated.Fit a curve.
- fit(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math3.fitting.AbstractCurveFitter
-
Fits a curve.
- fit(MixtureMultivariateNormalDistribution) - Method in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization
-
Fit a mixture model to the data supplied to the constructor.
- fit(MixtureMultivariateNormalDistribution, int, double) - Method in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization
-
Fit a mixture model to the data supplied to the constructor.
- fit(T, double[]) - Method in class org.apache.commons.math3.fitting.CurveFitter
-
Deprecated.Fit a curve.
- fit(T, double[]) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
-
Deprecated.Fit a curve.
- fitness - Variable in class org.apache.commons.math3.genetics.Chromosome
-
Cached value of the fitness of this chromosome.
- fitness() - Method in interface org.apache.commons.math3.genetics.Fitness
-
Compute the fitness.
- Fitness - Interface in org.apache.commons.math3.genetics
-
Fitness of a chromosome.
- FitnessFunction() - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.FitnessFunction
-
Simple constructor.
- FitnessFunction() - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer.FitnessFunction
-
Deprecated.Simple constructor.
- fitnessHistory - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
History queue of best values.
- fitnessHistory - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.History queue of best values.
- fittedModel - Variable in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization
-
The model fit against the data.
- fitToCell(SubHyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Fit a sub-hyperplane inside the cell defined by the instance.
- fix1stArgument(BivariateFunction, double) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
Creates a unary function by fixing the first argument of a binary function.
- fix2ndArgument(BivariateFunction, double) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
Creates a unary function by fixing the second argument of a binary function.
- FIXED - Enum constant in enum org.apache.commons.math3.stat.ranking.NaNStrategy
-
NaNs are left in place
- FIXED_QUANTILE_50 - Static variable in class org.apache.commons.math3.stat.descriptive.rank.Median
-
Fixed quantile.
- FixedCapacityList(int) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.FixedCapacityList
-
This constructor constructs the list with given capacity and as well as stores the capacity
- FixedElapsedTime - Class in org.apache.commons.math3.genetics
-
Stops after a fixed amount of time has elapsed.
- FixedElapsedTime(long) - Constructor for class org.apache.commons.math3.genetics.FixedElapsedTime
-
Create a new
FixedElapsedTime
instance. - FixedElapsedTime(long, TimeUnit) - Constructor for class org.apache.commons.math3.genetics.FixedElapsedTime
-
Create a new
FixedElapsedTime
instance. - FixedGenerationCount - Class in org.apache.commons.math3.genetics
-
Stops after a fixed number of generations.
- FixedGenerationCount(int) - Constructor for class org.apache.commons.math3.genetics.FixedGenerationCount
-
Create a new FixedGenerationCount instance.
- FixedStepHandler - Interface in org.apache.commons.math3.ode.sampling
-
This interface represents a handler that should be called after each successful fixed step.
- fixNode(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.BSPTree.VanishingCutHandler
-
Fix a node with both vanished cut and children.
- fixNode(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory.DifferenceMerger
-
Fix a node with both vanished cut and children.
- fixNode(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory.VanishingToLeaf
-
Fix a node with both vanished cut and children.
- fixTies(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
If there are no ties in the combined dataset formed from x and y, this method is a no-op.
- FLAG_DIV_ZERO - Static variable in class org.apache.commons.math3.dfp.DfpField
-
IEEE 854-1987 flag for division by zero.
- FLAG_INEXACT - Static variable in class org.apache.commons.math3.dfp.DfpField
-
IEEE 854-1987 flag for inexact result.
- FLAG_INVALID - Static variable in class org.apache.commons.math3.dfp.DfpField
-
IEEE 854-1987 flag for invalid operation.
- FLAG_OVERFLOW - Static variable in class org.apache.commons.math3.dfp.DfpField
-
IEEE 854-1987 flag for overflow.
- FLAG_UNDERFLOW - Static variable in class org.apache.commons.math3.dfp.DfpField
-
IEEE 854-1987 flag for underflow.
- flatten(Object[]) - Static method in class org.apache.commons.math3.exception.util.ArgUtils
-
Transform a multidimensional array into a one-dimensional list.
- FLETCHER_REEVES - Enum constant in enum org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.Formula
-
Fletcher-Reeves formula.
- FLETCHER_REEVES - Enum constant in enum org.apache.commons.math3.optimization.general.ConjugateGradientFormula
-
Deprecated.Fletcher-Reeves formula.
- fLo - Variable in exception class org.apache.commons.math3.exception.NoBracketingException
-
Value at lower end of the interval.
- fLo - Variable in class org.apache.commons.math3.optim.univariate.BracketFinder
-
Function value at
BracketFinder.lo
. - fLo - Variable in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.Function value at
BracketFinder.lo
. - floatValue() - Method in class org.apache.commons.math3.fraction.BigFraction
-
Gets the fraction as a
float
. - floatValue() - Method in class org.apache.commons.math3.fraction.Fraction
-
Gets the fraction as a
float
. - floatValue() - Method in class org.apache.commons.math3.util.Decimal64
-
The current implementation performs casting to a
float
. - floor() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Get the largest whole number smaller than instance.
- floor() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Get the largest whole number smaller than instance.
- floor() - Method in class org.apache.commons.math3.dfp.Dfp
-
Round to an integer using the round floor mode.
- floor() - Method in interface org.apache.commons.math3.RealFieldElement
-
Get the largest whole number smaller than instance.
- floor() - Method in class org.apache.commons.math3.util.Decimal64
-
Get the largest whole number smaller than instance.
- floor(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Get the largest whole number smaller than x.
- Floor - Class in org.apache.commons.math3.analysis.function
-
floor
function. - Floor() - Constructor for class org.apache.commons.math3.analysis.function.Floor
- floorDiv(int, int) - Static method in class org.apache.commons.math3.util.FastMath
-
Finds q such that a = q b + r with 0 invalid input: '<'= r invalid input: '<' b if b > 0 and b invalid input: '<' r invalid input: '<'= 0 if b invalid input: '<' 0.
- floorDiv(long, long) - Static method in class org.apache.commons.math3.util.FastMath
-
Finds q such that a = q b + r with 0 invalid input: '<'= r invalid input: '<' b if b > 0 and b invalid input: '<' r invalid input: '<'= 0 if b invalid input: '<' 0.
- floorMod(int, int) - Static method in class org.apache.commons.math3.util.FastMath
-
Finds r such that a = q b + r with 0 invalid input: '<'= r invalid input: '<' b if b > 0 and b invalid input: '<' r invalid input: '<'= 0 if b invalid input: '<' 0.
- floorMod(long, long) - Static method in class org.apache.commons.math3.util.FastMath
-
Finds r such that a = q b + r with 0 invalid input: '<'= r invalid input: '<' b if b > 0 and b invalid input: '<' r invalid input: '<'= 0 if b invalid input: '<' 0.
- fMid - Variable in class org.apache.commons.math3.optim.univariate.BracketFinder
-
Function value at
BracketFinder.mid
. - fMid - Variable in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.Function value at
BracketFinder.mid
. - fode - Variable in class org.apache.commons.math3.ode.ParameterizedWrapper
-
Basic FODE without parameter.
- fode - Variable in class org.apache.commons.math3.ode.ParameterJacobianWrapper
-
Main ODE set.
- followLoop(PolygonsSet.ConnectableSegment) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
-
Build the loop containing a segment.
- forceSide(int, UnivariateFunction, BracketedUnivariateSolver<UnivariateFunction>, double, double, double, AllowedSolution) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
-
Force a root found by a non-bracketing solver to lie on a specified side, as if the solver were a bracketing one.
- format - Variable in class org.apache.commons.math3.geometry.VectorFormat
-
The format used for components.
- format - Variable in class org.apache.commons.math3.linear.RealMatrixFormat
-
The format used for components.
- format - Variable in class org.apache.commons.math3.linear.RealVectorFormat
-
The format used for components.
- format(double) - Static method in class org.apache.commons.math3.util.FastMathCalc
-
Format a double.
- format(double, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.AbstractFormat
-
Formats a double value as a fraction and appends the result to a StringBuffer.
- format(long, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.AbstractFormat
-
Formats a long value as a fraction and appends the result to a StringBuffer.
- format(Double) - Method in class org.apache.commons.math3.complex.ComplexFormat
-
This method calls
ComplexFormat.format(Object,StringBuffer,FieldPosition)
. - format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.complex.ComplexFormat
-
Formats a object to produce a string.
- format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.BigFractionFormat
-
Formats an object and appends the result to a StringBuffer.
- format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.FractionFormat
-
Formats an object and appends the result to a StringBuffer.
- format(StringBuffer, FieldPosition, double...) - Method in class org.apache.commons.math3.geometry.VectorFormat
-
Formats the coordinates of a
Vector
to produce a string. - format(Complex) - Method in class org.apache.commons.math3.complex.ComplexFormat
-
This method calls
ComplexFormat.format(Object,StringBuffer,FieldPosition)
. - format(Complex, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.complex.ComplexFormat
-
Formats a
Complex
object to produce a string. - format(BigFraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.BigFractionFormat
-
Formats a
BigFraction
object to produce a string. - format(BigFraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.ProperBigFractionFormat
-
Formats a
BigFraction
object to produce a string. - format(Fraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.FractionFormat
-
Formats a
Fraction
object to produce a string. - format(Fraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.ProperFractionFormat
-
Formats a
Fraction
object to produce a string. - format(Vector<Euclidean1D>, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
-
Formats a
Vector
object to produce a string. - format(Vector<Euclidean3D>, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
-
Formats a
Vector3D
object to produce a string. - format(Vector<Euclidean2D>, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
-
Formats a
Vector
object to produce a string. - format(Vector<S>) - Method in class org.apache.commons.math3.geometry.VectorFormat
-
Formats a
Vector
object to produce a string. - format(Vector<S>, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.geometry.VectorFormat
-
Formats a
Vector
object to produce a string. - format(RealMatrix) - Method in class org.apache.commons.math3.linear.RealMatrixFormat
-
This method calls
RealMatrixFormat.format(RealMatrix,StringBuffer,FieldPosition)
. - format(RealMatrix, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.linear.RealMatrixFormat
-
Formats a
RealMatrix
object to produce a string. - format(RealVector) - Method in class org.apache.commons.math3.linear.RealVectorFormat
-
This method calls
RealVectorFormat.format(RealVector,StringBuffer,FieldPosition)
. - format(RealVector, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.linear.RealVectorFormat
-
Formats a
RealVector
object to produce a string. - formatBigFraction(BigFraction) - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
-
This static method calls formatBigFraction() on a default instance of BigFractionFormat.
- formatDouble(double, NumberFormat, StringBuffer, FieldPosition) - Static method in class org.apache.commons.math3.util.CompositeFormat
-
Formats a double value to produce a string.
- formatFraction(Fraction) - Static method in class org.apache.commons.math3.fraction.FractionFormat
-
This static method calls formatFraction() on a default instance of FractionFormat.
- formatImaginary(double, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.complex.ComplexFormat
-
Format the absolute value of the imaginary part.
- Formula() - Constructor for enum org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.Formula
- forward - Variable in class org.apache.commons.math3.ode.ContinuousOutputFieldModel
-
Integration direction indicator.
- forward - Variable in class org.apache.commons.math3.ode.ContinuousOutputModel
-
Integration direction indicator.
- forward - Variable in class org.apache.commons.math3.ode.events.EventFilter
-
Indicator for forward integration.
- forward - Variable in class org.apache.commons.math3.ode.events.EventState
-
Integration direction.
- forward - Variable in class org.apache.commons.math3.ode.events.FieldEventState
-
Integration direction.
- forward - Variable in class org.apache.commons.math3.ode.sampling.AbstractFieldStepInterpolator
-
integration direction.
- forward - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
integration direction.
- forward - Variable in class org.apache.commons.math3.ode.sampling.FieldStepNormalizer
-
Integration direction indicator.
- forward - Variable in class org.apache.commons.math3.ode.sampling.StepNormalizer
-
Integration direction indicator.
- FORWARD - Enum constant in enum org.apache.commons.math3.transform.TransformType
-
The type to be specified for forward transforms.
- FOUR_FIFTHS - Static variable in class org.apache.commons.math3.fraction.BigFraction
-
A fraction representing "4/5".
- FOUR_FIFTHS - Static variable in class org.apache.commons.math3.fraction.Fraction
-
A fraction representing "4/5".
- FourthMoment - Class in org.apache.commons.math3.stat.descriptive.moment
-
Computes a statistic related to the Fourth Central Moment.
- FourthMoment() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.FourthMoment
-
Create a FourthMoment instance
- FourthMoment(FourthMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.FourthMoment
-
Copy constructor, creates a new
FourthMoment
identical to theoriginal
- fraction(double, double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
-
Create a fraction.
- fraction(int, int) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
-
Create a fraction.
- fraction(int, int) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaFieldIntegrator
-
Create a fraction.
- fraction(Field<T>, double, double) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldStepInterpolator
-
Create a fraction.
- Fraction - Class in org.apache.commons.math3.fraction
-
Representation of a rational number.
- Fraction(double) - Constructor for class org.apache.commons.math3.fraction.Fraction
-
Create a fraction given the double value.
- Fraction(double, double, int) - Constructor for class org.apache.commons.math3.fraction.Fraction
-
Create a fraction given the double value and maximum error allowed.
- Fraction(double, double, int, int) - Constructor for class org.apache.commons.math3.fraction.Fraction
-
Create a fraction given the double value and either the maximum error allowed or the maximum number of denominator digits.
- Fraction(double, int) - Constructor for class org.apache.commons.math3.fraction.Fraction
-
Create a fraction given the double value and maximum denominator.
- Fraction(int) - Constructor for class org.apache.commons.math3.fraction.Fraction
-
Create a fraction from an int.
- Fraction(int, int) - Constructor for class org.apache.commons.math3.fraction.Fraction
-
Create a fraction given the numerator and denominator.
- FRACTION - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- FRACTION_CONVERSION_OVERFLOW - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- FractionConversionException - Exception Class in org.apache.commons.math3.fraction
-
Error thrown when a double value cannot be converted to a fraction in the allowed number of iterations.
- FractionConversionException(double, int) - Constructor for exception class org.apache.commons.math3.fraction.FractionConversionException
-
Constructs an exception with specified formatted detail message.
- FractionConversionException(double, long, long) - Constructor for exception class org.apache.commons.math3.fraction.FractionConversionException
-
Constructs an exception with specified formatted detail message.
- FractionField - Class in org.apache.commons.math3.fraction
-
Representation of the fractional numbers field.
- FractionField() - Constructor for class org.apache.commons.math3.fraction.FractionField
-
Private constructor for the singleton.
- FractionField.LazyHolder - Class in org.apache.commons.math3.fraction
-
Holder for the instance.
- FractionFormat - Class in org.apache.commons.math3.fraction
-
Formats a Fraction number in proper format or improper format.
- FractionFormat() - Constructor for class org.apache.commons.math3.fraction.FractionFormat
-
Create an improper formatting instance with the default number format for the numerator and denominator.
- FractionFormat(NumberFormat) - Constructor for class org.apache.commons.math3.fraction.FractionFormat
-
Create an improper formatting instance with a custom number format for both the numerator and denominator.
- FractionFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.fraction.FractionFormat
-
Create an improper formatting instance with a custom number format for the numerator and a custom number format for the denominator.
- FractionMatrixConverter() - Constructor for class org.apache.commons.math3.linear.MatrixUtils.FractionMatrixConverter
-
Simple constructor.
- fractionMatrixToRealMatrix(FieldMatrix<Fraction>) - Static method in class org.apache.commons.math3.linear.MatrixUtils
- FRAME_TRANSFORM - Enum constant in enum org.apache.commons.math3.geometry.euclidean.threed.RotationConvention
-
Constant for rotation that have the semantics of a frame conversion.
- FREE - Static variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Status indicator for free table entries.
- FREE - Static variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Status indicator for free table entries.
- freqTable - Variable in class org.apache.commons.math3.stat.Frequency
-
underlying collection
- Frequency - Class in org.apache.commons.math3.stat
-
Maintains a frequency distribution.
- Frequency() - Constructor for class org.apache.commons.math3.stat.Frequency
-
Default constructor.
- Frequency(Comparator<?>) - Constructor for class org.apache.commons.math3.stat.Frequency
-
Constructor allowing values Comparator to be specified.
- Frequency.NaturalComparator<T> - Class in org.apache.commons.math3.stat
-
A Comparator that compares comparable objects using the natural order.
- fsal - Variable in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
-
Index of the pre-computed derivative for fsal methods.
- fsal - Variable in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Indicator for fsal methods.
- fst(double[]) - Method in class org.apache.commons.math3.transform.FastSineTransformer
-
Perform the FST algorithm (including inverse).
- full - Variable in class org.apache.commons.math3.util.FastMath.Split
-
Full number.
- FULL - Static variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Status indicator for full table entries.
- FULL - Static variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Status indicator for full table entries.
- function - Variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Function to integrate.
- function - Variable in class org.apache.commons.math3.analysis.solvers.AbstractUnivariateDifferentiableSolver
-
Function to solve.
- function - Variable in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Function to solve.
- function - Variable in class org.apache.commons.math3.fitting.SimpleCurveFitter
-
Function to fit.
- function - Variable in class org.apache.commons.math3.optim.linear.LinearOptimizer
-
Linear objective function.
- function - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter
-
Underlying vectorial function.
- function - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
-
Objective function.
- function - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunction
-
Function to be optimized.
- function - Variable in class org.apache.commons.math3.optim.univariate.UnivariateObjectiveFunction
-
Function to be optimized.
- function - Variable in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
-
Objective function.
- function - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.Objective function.
- function - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.Objective function.
- function - Variable in class org.apache.commons.math3.optimization.LeastSquaresConverter
-
Deprecated.Underlying vectorial function.
- function - Variable in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
-
Deprecated.Linear objective function.
- function - Variable in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.Function to optimize.
- function(UnivariateFunction, double, double) - Static method in class org.apache.commons.math3.ml.neuralnet.FeatureInitializerFactory
-
Creates an initializer from a univariate function
f(x)
. - FUNCTION - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- FUNCTION - Static variable in class org.apache.commons.math3.fitting.GaussianCurveFitter
-
Parametric function to be fitted.
- FUNCTION - Static variable in class org.apache.commons.math3.fitting.HarmonicCurveFitter
-
Parametric function to be fitted.
- FUNCTION - Static variable in class org.apache.commons.math3.fitting.PolynomialCurveFitter
-
Parametric function to be fitted.
- FUNCTION_NOT_DIFFERENTIABLE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- FUNCTION_NOT_POLYNOMIAL - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- functionDerivative - Variable in class org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver
-
Deprecated.Derivative of the function to solve.
- FunctionUtils - Class in org.apache.commons.math3.analysis
-
Utilities for manipulating function objects.
- FunctionUtils() - Constructor for class org.apache.commons.math3.analysis.FunctionUtils
-
Class only contains static methods.
- functionValueAccuracy - Variable in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Function value accuracy.
- functionValueAccuracy - Variable in class org.apache.commons.math3.analysis.solvers.FieldBracketingNthOrderBrentSolver
-
Function value accuracy.
- fuzziness - Variable in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
-
The fuzziness factor.
- FuzzyKMeansClusterer<T> - Class in org.apache.commons.math3.ml.clustering
-
Fuzzy K-Means clustering algorithm.
- FuzzyKMeansClusterer(int, double) - Constructor for class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
-
Creates a new instance of a FuzzyKMeansClusterer.
- FuzzyKMeansClusterer(int, double, int, DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
-
Creates a new instance of a FuzzyKMeansClusterer.
- FuzzyKMeansClusterer(int, double, int, DistanceMeasure, double, RandomGenerator) - Constructor for class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
-
Creates a new instance of a FuzzyKMeansClusterer.
- fval - Variable in class org.apache.commons.math3.analysis.interpolation.PiecewiseBicubicSplineInterpolatingFunction
-
Set of cubic splines patching the whole data grid
G
- g(double[], long[]) - Method in class org.apache.commons.math3.stat.inference.GTest
- g(double[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- g(double, double[]) - Method in class org.apache.commons.math3.ode.events.EventFilter
-
Compute the value of the switching function.
- g(double, double[]) - Method in interface org.apache.commons.math3.ode.events.EventHandler
-
Compute the value of the switching function.
- g(FieldODEStateAndDerivative<T>) - Method in interface org.apache.commons.math3.ode.events.FieldEventHandler
-
Compute the value of the switching function.
- G_TEST - Static variable in class org.apache.commons.math3.stat.inference.TestUtils
-
Singleton G-Test instance.
- g0 - Variable in class org.apache.commons.math3.ode.events.EventState
-
Value of the events handler at the beginning of the step.
- g0 - Variable in class org.apache.commons.math3.ode.events.FieldEventState
-
Value of the events handler at the beginning of the step.
- g0Positive - Variable in class org.apache.commons.math3.ode.events.EventState
-
Simulated sign of g0 (we cheat when crossing events).
- g0Positive - Variable in class org.apache.commons.math3.ode.events.FieldEventState
-
Simulated sign of g0 (we cheat when crossing events).
- gamma - Variable in class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Internal Gamma distribution.
- gamma - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
-
Contraction coefficient.
- gamma - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
-
Contraction coefficient.
- gamma - Variable in class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
-
Deprecated.Contraction coefficient.
- gamma - Variable in class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
-
Deprecated.Contraction coefficient.
- gamma(double) - Static method in class org.apache.commons.math3.special.Gamma
-
Returns the value of Γ(x).
- Gamma - Class in org.apache.commons.math3.special
-
This is a utility class that provides computation methods related to the Γ (Gamma) family of functions.
- Gamma() - Constructor for class org.apache.commons.math3.special.Gamma
-
Default constructor.
- GAMMA - Static variable in class org.apache.commons.math3.special.Gamma
- GammaDistribution - Class in org.apache.commons.math3.distribution
-
Implementation of the Gamma distribution.
- GammaDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.GammaDistribution
-
Creates a new gamma distribution with specified values of the shape and scale parameters.
- GammaDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.GammaDistribution
-
Creates a new gamma distribution with specified values of the shape and scale parameters.
- GammaDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.GammaDistribution
-
Creates a Gamma distribution.
- GammaDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.GammaDistribution
-
Creates a Gamma distribution.
- gammaZeta - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The value of gamma[k] * zeta[k].
- Gaussian - Class in org.apache.commons.math3.analysis.function
-
Gaussian function.
- Gaussian() - Constructor for class org.apache.commons.math3.analysis.function.Gaussian
-
Normalized gaussian with zero mean and unit standard deviation.
- Gaussian(double, double) - Constructor for class org.apache.commons.math3.analysis.function.Gaussian
-
Normalized gaussian with given mean and standard deviation.
- Gaussian(double, double, double) - Constructor for class org.apache.commons.math3.analysis.function.Gaussian
-
Gaussian with given normalization factor, mean and standard deviation.
- GAUSSIAN_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
-
Gaussian random deviates with mean = μ, std dev = σ.
- Gaussian.Parametric - Class in org.apache.commons.math3.analysis.function
-
Parametric function where the input array contains the parameters of the Gaussian, ordered as follows: Norm Mean Standard deviation
- GaussianCurveFitter - Class in org.apache.commons.math3.fitting
-
Fits points to a
Gaussian
function. - GaussianCurveFitter(double[], int) - Constructor for class org.apache.commons.math3.fitting.GaussianCurveFitter
-
Contructor used by the factory methods.
- GaussianCurveFitter.ParameterGuesser - Class in org.apache.commons.math3.fitting
-
Guesses the parameters
norm
,mean
, andsigma
of aGaussian.Parametric
based on the specified observed points. - GaussianFitter - Class in org.apache.commons.math3.fitting
-
Deprecated.As of 3.3. Please use
GaussianCurveFitter
andWeightedObservedPoints
instead. - GaussianFitter - Class in org.apache.commons.math3.optimization.fitting
-
Deprecated.As of 3.1 (to be removed in 4.0).
- GaussianFitter(MultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.fitting.GaussianFitter
-
Deprecated.Constructs an instance using the specified optimizer.
- GaussianFitter(DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.GaussianFitter
-
Deprecated.Constructs an instance using the specified optimizer.
- GaussianFitter.ParameterGuesser - Class in org.apache.commons.math3.fitting
-
Deprecated.Guesses the parameters
norm
,mean
, andsigma
of aGaussian.Parametric
based on the specified observed points. - GaussianFitter.ParameterGuesser - Class in org.apache.commons.math3.optimization.fitting
-
Deprecated.Guesses the parameters
norm
,mean
, andsigma
of aGaussian.Parametric
based on the specified observed points. - GaussianRandomGenerator - Class in org.apache.commons.math3.random
-
This class is a gaussian normalized random generator for scalars.
- GaussianRandomGenerator(RandomGenerator) - Constructor for class org.apache.commons.math3.random.GaussianRandomGenerator
-
Create a new generator.
- GaussIntegrator - Class in org.apache.commons.math3.analysis.integration.gauss
-
Class that implements the Gaussian rule for
integrating
a weighted function. - GaussIntegrator(double[], double[]) - Constructor for class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
-
Creates an integrator from the given
points
andweights
. - GaussIntegrator(Pair<double[], double[]>) - Constructor for class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
-
Creates an integrator from the given pair of points (first element of the pair) and weights (second element of the pair.
- GaussIntegratorFactory - Class in org.apache.commons.math3.analysis.integration.gauss
-
Class that provides different ways to compute the nodes and weights to be used by the
Gaussian integration rule
. - GaussIntegratorFactory() - Constructor for class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
- GaussNewtonOptimizer - Class in org.apache.commons.math3.fitting.leastsquares
-
Gauss-Newton least-squares solver.
- GaussNewtonOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector.jacobian
-
Deprecated.All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the
org.apache.commons.math3.fitting.leastsquares
package (cf. MATH-1008). - GaussNewtonOptimizer - Class in org.apache.commons.math3.optimization.general
-
Deprecated.As of 3.1 (to be removed in 4.0).
- GaussNewtonOptimizer() - Constructor for class org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer
-
Creates a Gauss Newton optimizer.
- GaussNewtonOptimizer() - Constructor for class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
-
Deprecated.
- GaussNewtonOptimizer(boolean) - Constructor for class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
-
Deprecated.
- GaussNewtonOptimizer(boolean, ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.GaussNewtonOptimizer
-
Deprecated.
- GaussNewtonOptimizer(boolean, ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
-
Deprecated.
- GaussNewtonOptimizer(GaussNewtonOptimizer.Decomposition) - Constructor for class org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer
-
Create a Gauss Newton optimizer that uses the given decomposition algorithm to solve the normal equations.
- GaussNewtonOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.GaussNewtonOptimizer
-
Deprecated.Simple constructor with default settings.
- GaussNewtonOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
-
Deprecated.Simple constructor with default settings.
- GaussNewtonOptimizer.Decomposition - Enum in org.apache.commons.math3.fitting.leastsquares
-
The decomposition algorithm to use to solve the normal equations.
- gbar - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The value of gbar[k].
- gcd(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Computes the greatest common divisor of the absolute value of two numbers, using a modified version of the "binary gcd" method.
- gcd(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Gets the greatest common divisor of the absolute value of two numbers, using the "binary gcd" method which avoids division and modulo operations.
- GCD_OVERFLOW_32_BITS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- GCD_OVERFLOW_64_BITS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- gcdPositive(int, int) - Static method in class org.apache.commons.math3.primes.PollardRho
-
Gcd between two positive numbers.
- gcdPositive(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Computes the greatest common divisor of two positive numbers (this precondition is not checked and the result is undefined if not fulfilled) using the "binary gcd" method which avoids division and modulo operations.
- gDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math3.stat.inference.GTest
-
Computes a G (Log-Likelihood Ratio) two sample test statistic for independence comparing frequency counts in
observed1
andobserved2
. - gDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- generalizedHarmonic(int, double) - Method in class org.apache.commons.math3.distribution.ZipfDistribution
-
Calculates the Nth generalized harmonic number.
- generate(int) - Method in interface org.apache.commons.math3.analysis.polynomials.PolynomialsUtils.RecurrenceCoefficientsGenerator
-
Generate recurrence coefficients.
- generate(Collection<Vector2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.hull.AbstractConvexHullGenerator2D
-
Builds the convex hull from the set of input points.
- generate(Collection<Vector2D>) - Method in interface org.apache.commons.math3.geometry.euclidean.twod.hull.ConvexHullGenerator2D
-
Builds the convex hull from the set of input points.
- generate(Collection<P>) - Method in interface org.apache.commons.math3.geometry.hull.ConvexHullGenerator
-
Builds the convex hull from the set of input points.
- generateStatistics - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Indicates whether statistic data is collected.
- generateStatistics - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Indicates whether statistic data is collected.
- generationsEvolved - Variable in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
the number of generations evolved to reach
StoppingCondition
in the last run. - generator - Variable in class org.apache.commons.math3.geometry.enclosing.WelzlEncloser
-
Generator for balls on support.
- generator - Variable in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
-
Random generator for multi-start.
- generator - Variable in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
-
Random generator for multi-start.
- generator - Variable in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
-
Deprecated.Random generator for multi-start.
- generator - Variable in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
-
Deprecated.Random generator for multi-start.
- generator - Variable in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
-
Deprecated.Random generator for multi-start.
- generator - Variable in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
-
Underlying generator.
- generator - Variable in class org.apache.commons.math3.random.GaussianRandomGenerator
-
Underlying generator.
- generator - Variable in class org.apache.commons.math3.random.StableRandomGenerator
-
Underlying generator.
- generator - Variable in class org.apache.commons.math3.random.UncorrelatedRandomVectorGenerator
-
Underlying scalar generator.
- generator - Variable in class org.apache.commons.math3.random.UniformRandomGenerator
-
Underlying generator.
- GeneticAlgorithm - Class in org.apache.commons.math3.genetics
-
Implementation of a genetic algorithm.
- GeneticAlgorithm(CrossoverPolicy, double, MutationPolicy, double, SelectionPolicy) - Constructor for class org.apache.commons.math3.genetics.GeneticAlgorithm
-
Create a new genetic algorithm.
- geoMean - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
geoMean of values that have been added
- geoMeanImpl - Variable in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Geometric mean statistic implementation - can be reset by setter.
- geoMeanImpl - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Geometric mean statistic implementation - can be reset by setter.
- GEOMETRIC_MEAN - Static variable in class org.apache.commons.math3.stat.StatUtils
-
geometric mean
- GeometricDistribution - Class in org.apache.commons.math3.distribution
-
Implementation of the geometric distribution.
- GeometricDistribution(double) - Constructor for class org.apache.commons.math3.distribution.GeometricDistribution
-
Create a geometric distribution with the given probability of success.
- GeometricDistribution(RandomGenerator, double) - Constructor for class org.apache.commons.math3.distribution.GeometricDistribution
-
Creates a geometric distribution.
- geometricMean(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the geometric mean of the entries in the input array, or
Double.NaN
if the array is empty. - geometricMean(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the geometric mean of the entries in the specified portion of the input array, or
Double.NaN
if the designated subarray is empty. - GeometricMean - Class in org.apache.commons.math3.stat.descriptive.moment
-
Returns the geometric mean of the available values.
- GeometricMean() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
-
Create a GeometricMean instance
- GeometricMean(GeometricMean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
-
Copy constructor, creates a new
GeometricMean
identical to theoriginal
- GeometricMean(SumOfLogs) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
-
Create a GeometricMean instance using the given SumOfLogs instance
- geometricMeanImpl - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Geometric mean statistic implementation - can be reset by setter.
- GEQ - Enum constant in enum org.apache.commons.math3.optim.linear.Relationship
-
Greater than or equal relationship.
- GEQ - Enum constant in enum org.apache.commons.math3.optimization.linear.Relationship
-
Deprecated.Greater than or equal relationship.
- get(int) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Get the stored value associated with the given key
- get(int) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Get the stored value associated with the given key
- get(int...) - Method in class org.apache.commons.math3.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
-
Deprecated.Get a matrix element.
- getA() - Method in class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaFieldIntegrator
-
Get the internal weights from Butcher array (without the first empty row).
- getA() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldIntegrator
-
Get the internal weights from Butcher array (without the first empty row).
- getA() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator
-
Get the internal weights from Butcher array (without the first empty row).
- getA() - Method in class org.apache.commons.math3.ode.nonstiff.EulerFieldIntegrator
-
Get the internal weights from Butcher array (without the first empty row).
- getA() - Method in interface org.apache.commons.math3.ode.nonstiff.FieldButcherArrayProvider
-
Get the internal weights from Butcher array (without the first empty row).
- getA() - Method in class org.apache.commons.math3.ode.nonstiff.GillFieldIntegrator
-
Get the internal weights from Butcher array (without the first empty row).
- getA() - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54FieldIntegrator
-
Get the internal weights from Butcher array (without the first empty row).
- getA() - Method in class org.apache.commons.math3.ode.nonstiff.LutherFieldIntegrator
-
Get the internal weights from Butcher array (without the first empty row).
- getA() - Method in class org.apache.commons.math3.ode.nonstiff.MidpointFieldIntegrator
-
Get the internal weights from Butcher array (without the first empty row).
- getA() - Method in class org.apache.commons.math3.ode.nonstiff.ThreeEighthesFieldIntegrator
-
Get the internal weights from Butcher array (without the first empty row).
- getA(int, double) - Method in class org.apache.commons.math3.util.ContinuedFraction
-
Access the n-th a coefficient of the continued fraction.
- getA1() - Method in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
-
Get the axis of the first rotation.
- getA2() - Method in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
-
Get the axis of the second rotation.
- getA3() - Method in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
-
Get the axis of the second rotation.
- getAbscissa(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Get the abscissa of a point with respect to the line.
- getAbsoluteAccuracy() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Get the absolute accuracy.
- getAbsoluteAccuracy() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
-
Get the absolute accuracy.
- getAbsoluteAccuracy() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Get the absolute accuracy of the solver.
- getAbsoluteAccuracy() - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
-
Get the absolute accuracy of the solver.
- getAbsoluteAccuracy() - Method in interface org.apache.commons.math3.analysis.solvers.BracketedRealFieldUnivariateSolver
-
Get the absolute accuracy of the solver.
- getAbsoluteAccuracy() - Method in class org.apache.commons.math3.analysis.solvers.FieldBracketingNthOrderBrentSolver
-
Get the absolute accuracy.
- getAbsoluteAccuracy() - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
-
Deprecated.Get the absolute accuracy.
- getAbsoluteThreshold() - Method in class org.apache.commons.math3.optim.AbstractConvergenceChecker
- getAbsoluteThreshold() - Method in class org.apache.commons.math3.optimization.AbstractConvergenceChecker
-
Deprecated.
- getAdjustedRSquared() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
-
Returns the adjusted R-squared statistic, defined by the formula
- getAgrestiCoullInterval(int, int, double) - Static method in class org.apache.commons.math3.stat.interval.IntervalUtils
-
Create an Agresti-Coull binomial confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
- getAllDerivatives() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Get all partial derivatives.
- getAlpha() - Method in class org.apache.commons.math3.distribution.BetaDistribution
-
Access the first shape parameter,
alpha
. - getAlpha() - Method in class org.apache.commons.math3.distribution.GammaDistribution
-
Deprecated.as of version 3.1,
GammaDistribution.getShape()
should be preferred. This method will be removed in version 4.0. - getAlpha() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Get the azimuth of the vector.
- getAlpha() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Get the azimuth of the vector.
- getAlpha() - Method in class org.apache.commons.math3.geometry.spherical.oned.S1Point
-
Get the azimuthal angle \( \alpha \).
- getAngle() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Get the angle of the rotation.
- getAngle() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Get the angle of the rotation.
- getAngle() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Get the angle of the line.
- getAngle(BSPTree<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Get the abscissa of an internal node.
- getAngle(BSPTree<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
-
Get the limit angle of an internal node.
- getAngles(RotationOrder) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Deprecated.as of 3.6, replaced with
FieldRotation.getAngles(RotationOrder, RotationConvention)
- getAngles(RotationOrder) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Deprecated.as of 3.6, replaced with
Rotation.getAngles(RotationOrder, RotationConvention)
- getAngles(RotationOrder, RotationConvention) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Get the Cardan or Euler angles corresponding to the instance.
- getAngles(RotationOrder, RotationConvention) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Get the Cardan or Euler angles corresponding to the instance.
- getArea() - Method in class org.apache.commons.math3.geometry.spherical.twod.PropertiesComputer
-
Get the area.
- getArgument() - Method in class org.apache.commons.math3.complex.Complex
-
Compute the argument of this complex number.
- getArgument() - Method in exception class org.apache.commons.math3.exception.MathIllegalNumberException
- getArity() - Method in class org.apache.commons.math3.genetics.TournamentSelection
-
Gets the arity (number of chromosomes drawn to the tournament).
- getArray() - Method in class org.apache.commons.math3.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
-
Deprecated.Get the underlying storage array.
- getArrayRef() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Provides direct access to the internal storage array.
- getArtificialVariableOffset() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get the offset of the first artificial variable.
- getArtificialVariableOffset() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Get the offset of the first artificial variable.
- getAttribute() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Get the attribute associated with the instance.
- getAvailableLocales() - Static method in class org.apache.commons.math3.complex.ComplexFormat
-
Get the set of locales for which complex formats are available.
- getAvailableLocales() - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
-
Get the set of locales for which complex formats are available.
- getAvailableLocales() - Static method in class org.apache.commons.math3.fraction.FractionFormat
-
Get the set of locales for which complex formats are available.
- getAvailableLocales() - Static method in class org.apache.commons.math3.geometry.VectorFormat
-
Get the set of locales for which point/vector formats are available.
- getAvailableLocales() - Static method in class org.apache.commons.math3.linear.RealMatrixFormat
-
Get the set of locales for which real vectors formats are available.
- getAvailableLocales() - Static method in class org.apache.commons.math3.linear.RealVectorFormat
-
Get the set of locales for which real vectors formats are available.
- getAxis() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Deprecated.as of 3.6, replaced with
FieldRotation.getAxis(RotationConvention)
- getAxis() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Deprecated.as of 3.6, replaced with
Rotation.getAxis(RotationConvention)
- getAxis(RotationConvention) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Get the normalized axis of the rotation.
- getAxis(RotationConvention) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Get the normalized axis of the rotation.
- getB() - Method in class org.apache.commons.math3.linear.BiDiagonalTransformer
-
Returns the bi-diagonal matrix B of the transform.
- getB() - Method in class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaFieldIntegrator
-
Get the external weights for the high order method from Butcher array.
- getB() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldIntegrator
-
Get the external weights for the high order method from Butcher array.
- getB() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator
-
Get the external weights for the high order method from Butcher array.
- getB() - Method in class org.apache.commons.math3.ode.nonstiff.EulerFieldIntegrator
-
Get the external weights for the high order method from Butcher array.
- getB() - Method in interface org.apache.commons.math3.ode.nonstiff.FieldButcherArrayProvider
-
Get the external weights for the high order method from Butcher array.
- getB() - Method in class org.apache.commons.math3.ode.nonstiff.GillFieldIntegrator
-
Get the external weights for the high order method from Butcher array.
- getB() - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54FieldIntegrator
-
Get the external weights for the high order method from Butcher array.
- getB() - Method in class org.apache.commons.math3.ode.nonstiff.LutherFieldIntegrator
-
Get the external weights for the high order method from Butcher array.
- getB() - Method in class org.apache.commons.math3.ode.nonstiff.MidpointFieldIntegrator
-
Get the external weights for the high order method from Butcher array.
- getB() - Method in class org.apache.commons.math3.ode.nonstiff.ThreeEighthesFieldIntegrator
-
Get the external weights for the high order method from Butcher array.
- getB(int, double) - Method in class org.apache.commons.math3.util.ContinuedFraction
-
Access the n-th b coefficient of the continued fraction.
- getBarycenter() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
-
Get the barycenter of the interval.
- getBarycenter() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Get the barycenter of the instance.
- getBarycenter() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
-
Get the barycenter of the instance.
- getBarycenter() - Method in class org.apache.commons.math3.geometry.spherical.oned.Arc
-
Get the barycenter of the arc.
- getBarycenter() - Method in class org.apache.commons.math3.geometry.spherical.twod.PropertiesComputer
-
Get the barycenter.
- getBasicRow(int) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Checks whether the given column is basic.
- getBasicRow(int) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Checks whether the given column is basic.
- getBasicVariable(int) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Returns the variable that is basic in this row.
- getBeta() - Method in class org.apache.commons.math3.distribution.BetaDistribution
-
Access the second shape parameter,
beta
. - getBeta() - Method in class org.apache.commons.math3.distribution.GammaDistribution
-
Deprecated.as of version 3.1,
GammaDistribution.getScale()
should be preferred. This method will be removed in version 4.0. - getBinCount() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Returns the number of bins.
- getBinStats() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Returns a List of
SummaryStatistics
instances containing statistics describing the values in each of the bins. - getBit(int, int) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Deprecated.Get a bit from the mantissa of a double.
- getBoundaryLoops() - Method in class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
-
Get the boundary loops of the polygon.
- getBoundarySize() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Get the size of the boundary.
- getBoundarySize() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
-
Get the size of the boundary.
- getBoundIsAllowed() - Method in exception class org.apache.commons.math3.exception.NumberIsTooLargeException
- getBoundIsAllowed() - Method in exception class org.apache.commons.math3.exception.NumberIsTooSmallException
- getBracketingStep() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.BracketingStep
-
Deprecated.Gets the initial step.
- getC() - Method in class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaFieldIntegrator
-
Get the time steps from Butcher array (without the first zero).
- getC() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldIntegrator
-
Get the time steps from Butcher array (without the first zero).
- getC() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator
-
Get the time steps from Butcher array (without the first zero).
- getC() - Method in class org.apache.commons.math3.ode.nonstiff.EulerFieldIntegrator
-
Get the time steps from Butcher array (without the first zero).
- getC() - Method in interface org.apache.commons.math3.ode.nonstiff.FieldButcherArrayProvider
-
Get the time steps from Butcher array (without the first zero).
- getC() - Method in class org.apache.commons.math3.ode.nonstiff.GillFieldIntegrator
-
Get the time steps from Butcher array (without the first zero).
- getC() - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54FieldIntegrator
-
Get the time steps from Butcher array (without the first zero).
- getC() - Method in class org.apache.commons.math3.ode.nonstiff.LutherFieldIntegrator
-
Get the time steps from Butcher array (without the first zero).
- getC() - Method in class org.apache.commons.math3.ode.nonstiff.MidpointFieldIntegrator
-
Get the time steps from Butcher array (without the first zero).
- getC() - Method in class org.apache.commons.math3.ode.nonstiff.ThreeEighthesFieldIntegrator
-
Get the time steps from Butcher array (without the first zero).
- getCapacity() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Gets the currently allocated size of the internal data structure used for storing elements.
- getCartesian() - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
-
Get the Cartesian coordinates.
- getCell(Point<S>, double) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Get the cell to which a point belongs.
- getCell(Vector<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Deprecated.as of 3.3, replaced with
BSPTree.getCell(Point, double)
- getCenter() - Method in class org.apache.commons.math3.geometry.enclosing.EnclosingBall
-
Get the center of the ball.
- getCenter() - Method in class org.apache.commons.math3.ml.clustering.CentroidCluster
-
Get the point chosen to be the center of this cluster.
- getCenter() - Method in class org.apache.commons.math3.stat.clustering.Cluster
-
Deprecated.Get the point chosen to be the center of this cluster.
- getCenters() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
-
Returns a copy of the centers array.
- getCheck() - Method in class org.apache.commons.math3.linear.ConjugateGradient
-
Returns
true
if positive-definiteness should be checked for both matrix and preconditioner. - getCheck() - Method in class org.apache.commons.math3.linear.SymmLQ
-
Returns
true
if symmetry of the matrix, and symmetry as well as positive definiteness of the preconditioner should be checked. - getChiSquare() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
-
Deprecated.Get a Chi-Square-like value assuming the N residuals follow N distinct normal distributions centered on 0 and whose variances are the reciprocal of the weights.
- getChiSquare() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.Get a Chi-Square-like value assuming the N residuals follow N distinct normal distributions centered on 0 and whose variances are the reciprocal of the weights.
- getChromosomeList() - Method in class org.apache.commons.math3.genetics.ListPopulation
-
Access the list of chromosomes.
- getChromosomes() - Method in class org.apache.commons.math3.genetics.ListPopulation
-
Returns an unmodifiable list of the chromosomes in this population.
- getCircle() - Method in class org.apache.commons.math3.geometry.spherical.twod.Edge
-
Get the circle supporting this edge.
- getClopperPearsonInterval(int, int, double) - Static method in class org.apache.commons.math3.stat.interval.IntervalUtils
-
Create a Clopper-Pearson binomial confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
- getCloseCuts(Point<S>, double) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Get the cells whose cut sub-hyperplanes are close to the point.
- getClusterer() - Method in class org.apache.commons.math3.ml.clustering.MultiKMeansPlusPlusClusterer
-
Returns the embedded k-means clusterer used by this instance.
- getClusterEvaluator() - Method in class org.apache.commons.math3.ml.clustering.MultiKMeansPlusPlusClusterer
-
Returns the
ClusterEvaluator
used to determine the "best" clustering. - getClusters() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
-
Returns the list of clusters resulting from the last call to
FuzzyKMeansClusterer.cluster(Collection)
. - getCoefficients() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
-
Returns a copy of the coefficients array.
- getCoefficients() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
-
Returns a copy of the coefficients array.
- getCoefficients() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
-
Returns a copy of the coefficients array.
- getCoefficients() - Method in class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver
- getCoefficients() - Method in class org.apache.commons.math3.optim.linear.LinearConstraint
-
Gets the coefficients of the constraint (left hand side).
- getCoefficients() - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
-
Gets the coefficients of the linear equation being optimized.
- getCoefficients() - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
-
Deprecated.Get the coefficients of the constraint (left hand side).
- getCoefficients() - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
-
Deprecated.Get the coefficients of the linear equation being optimized.
- getColumn() - Method in exception class org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException
- getColumn() - Method in exception class org.apache.commons.math3.linear.NonSymmetricMatrixException
- getColumn() - Method in class org.apache.commons.math3.ml.neuralnet.twod.util.LocationFinder.Location
- getColumn(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Get the entries in column number
col
as an array. - getColumn(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Get the entries at the given column index as an array.
- getColumn(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Get the entries in column number
col
as an array. - getColumn(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Get the entries at the given column index as an array.
- getColumn(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Get the entries in column number
col
as an array. - getColumn(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Get the entries at the given column index as an array.
- getColumnDimension() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Returns the number of columns in the matrix.
- getColumnDimension() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns the number of columns of this matrix.
- getColumnDimension() - Method in interface org.apache.commons.math3.linear.AnyMatrix
-
Returns the number of columns in the matrix.
- getColumnDimension() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Returns the number of columns in the matrix.
- getColumnDimension() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Returns the number of columns of this matrix.
- getColumnDimension() - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Returns the number of columns in the matrix.
- getColumnDimension() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Returns the number of columns of this matrix.
- getColumnDimension() - Method in class org.apache.commons.math3.linear.DiagonalMatrix
-
Returns the number of columns of this matrix.
- getColumnDimension() - Method in class org.apache.commons.math3.linear.JacobiPreconditioner
-
Returns the dimension of the domain of this operator.
- getColumnDimension() - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Returns the number of columns of this matrix.
- getColumnDimension() - Method in class org.apache.commons.math3.linear.RealLinearOperator
-
Returns the dimension of the domain of this operator.
- getColumnDimension() - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
-
Returns the number of columns in the matrix.
- getColumnMatrix(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Get the entries in column number
column
as a column matrix. - getColumnMatrix(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Get the entries at the given column index as a column matrix.
- getColumnMatrix(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Get the entries in column number
column
as a column matrix. - getColumnMatrix(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Get the entries at the given column index as a column matrix.
- getColumnMatrix(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Get the entries in column number
column
as a column matrix. - getColumnMatrix(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Get the entries at the given column index as a column matrix.
- getColumnSeparator() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
-
Get the format separator between components.
- getColumnVector(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Returns the entries in column number
column
as a vector. - getColumnVector(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Get the entries at the given column index as a vector.
- getColumnVector(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Returns the entries in column number
column
as a vector. - getColumnVector(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Get the entries at the given column index as a vector.
- getColumnVector(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Returns the entries in column number
column
as a vector. - getColumnVector(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Get the entries at the given column index as a vector.
- getCompiler(int, int) - Static method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Get the compiler for number of free parameters and order.
- getComplement(Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
-
Get the complement of the region (exchanged interior/exterior).
- getCompleteState() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Get the complete current state.
- getCompleteState(StepInterpolator) - Method in class org.apache.commons.math3.ode.events.EventState
-
Get the complete state (primary and secondary).
- getComponents() - Method in class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
-
Gets the distributions that make up the mixture model.
- getComponents() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Deprecated.Get the components array.
- getConditionNumber() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Return the condition number of the matrix.
- getConfidenceLevel() - Method in class org.apache.commons.math3.stat.interval.ConfidenceInterval
- getConjugate() - Method in class org.apache.commons.math3.complex.Quaternion
-
Returns the conjugate quaternion of the instance.
- getConstantTerm() - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
-
Gets the constant of the linear equation being optimized.
- getConstantTerm() - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
-
Deprecated.Get the constant of the linear equation being optimized.
- getConstraints() - Method in class org.apache.commons.math3.optim.linear.LinearConstraintSet
-
Gets the set of linear constraints.
- getConstraints() - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer
- getConstraints() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
-
Deprecated.
- getConstraintTypeCounts(Relationship) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get a count of constraints corresponding to a specified relationship.
- getConstraintTypeCounts(Relationship) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Get a count of constraints corresponding to a specified relationship.
- getContext() - Method in exception class org.apache.commons.math3.exception.MathArithmeticException
-
Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.
- getContext() - Method in exception class org.apache.commons.math3.exception.MathIllegalArgumentException
-
Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.
- getContext() - Method in exception class org.apache.commons.math3.exception.MathIllegalStateException
-
Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.
- getContext() - Method in exception class org.apache.commons.math3.exception.MathRuntimeException
-
Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.
- getContext() - Method in exception class org.apache.commons.math3.exception.MathUnsupportedOperationException
-
Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.
- getContext() - Method in interface org.apache.commons.math3.exception.util.ExceptionContextProvider
-
Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.
- getContractionCriteria() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Deprecated.As of 3.1. Please use
ResizableDoubleArray.getContractionCriterion()
instead. - getContractionCriterion() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
The contraction criterion defines when the internal array will contract to store only the number of elements in the element array.
- getControlMatrix() - Method in class org.apache.commons.math3.filter.DefaultProcessModel
-
Returns the control matrix.
- getControlMatrix() - Method in interface org.apache.commons.math3.filter.ProcessModel
-
Returns the control matrix.
- getConvergence() - Method in class org.apache.commons.math3.ode.events.EventState
-
Get the convergence threshold for event localization.
- getConvergence() - Method in class org.apache.commons.math3.ode.events.FieldEventState
-
Get the convergence threshold for event localization.
- getConvergenceChecker() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter
-
Gets the convergence checker.
- getConvergenceChecker() - Method in class org.apache.commons.math3.optim.AbstractOptimizationProblem
-
Gets the convergence checker.
- getConvergenceChecker() - Method in class org.apache.commons.math3.optim.BaseOptimizer
-
Gets the convergence checker.
- getConvergenceChecker() - Method in interface org.apache.commons.math3.optim.OptimizationProblem
-
Gets the convergence checker.
- getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
-
Deprecated.Get the convergence checker.
- getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
-
Deprecated.Get the convergence checker.
- getConvergenceChecker() - Method in interface org.apache.commons.math3.optimization.BaseOptimizer
-
Deprecated.Get the convergence checker.
- getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.Get the convergence checker.
- getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.Get the convergence checker.
- getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.Get the convergence checker.
- getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
-
Deprecated.Get the convergence checker.
- getConvertedMatrix() - Method in class org.apache.commons.math3.linear.MatrixUtils.BigFractionMatrixConverter
-
Get the converted matrix.
- getConvertedMatrix() - Method in class org.apache.commons.math3.linear.MatrixUtils.FractionMatrixConverter
-
Get the converted matrix.
- getConvexCellsInsidePoints() - Method in class org.apache.commons.math3.geometry.spherical.twod.PropertiesComputer
-
Get the points strictly inside convex cells.
- getCorrelationMatrix() - Method in class org.apache.commons.math3.stat.correlation.KendallsCorrelation
-
Returns the correlation matrix.
- getCorrelationMatrix() - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
-
Returns the correlation matrix.
- getCorrelationMatrix() - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
-
Calculate the Spearman Rank Correlation Matrix.
- getCorrelationPValues() - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
-
Returns a matrix of p-values associated with the (two-sided) null hypothesis that the corresponding correlation coefficient is zero.
- getCorrelationStandardErrors() - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
-
Returns a matrix of standard errors associated with the estimates in the correlation matrix.
getCorrelationStandardErrors().getEntry(i,j)
is the standard error associated withgetCorrelationMatrix.getEntry(i,j)
- getCost() - Method in class org.apache.commons.math3.fitting.leastsquares.AbstractEvaluation
-
Get the cost.
- getCost() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation
-
Get the cost.
- getCost() - Method in class org.apache.commons.math3.fitting.leastsquares.OptimumImpl
-
Get the cost.
- getCostRelativeTolerance() - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
-
Gets the value of a tuning parameter.
- getCount() - Method in class org.apache.commons.math3.util.Incrementor
-
Deprecated.Gets the current count.
- getCount() - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor
-
Gets the current count.
- getCount() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
-
Get the current unidimensional counter slot.
- getCount(char) - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the number of values equal to v.
- getCount(int) - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the number of values equal to v.
- getCount(int) - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
-
Get the current count in the selected dimension.
- getCount(int...) - Method in class org.apache.commons.math3.util.MultidimensionalCounter
-
Convert to unidimensional counter.
- getCount(long) - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the number of values equal to v.
- getCount(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the number of values equal to v.
- getCounter() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Get the evaluations counter.
- getCounts() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
-
Get the current multidimensional counter slots.
- getCounts(int) - Method in class org.apache.commons.math3.util.MultidimensionalCounter
-
Convert to multidimensional counter.
- getCovariance() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Returns the covariance matrix of the values that have been added.
- getCovariance() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
-
Returns the covariance of the available values.
- getCovariance() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Returns the covariance matrix of the values that have been added.
- getCovariance(double) - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Returns the n × n covariance matrix.
- getCovariance(int, int) - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
-
Get the covariance for an individual element of the covariance matrix.
- getCovarianceMatrix() - Method in class org.apache.commons.math3.stat.correlation.Covariance
-
Returns the covariance matrix
- getCovarianceMatrix() - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
-
Returns the covariance matrix
- getCovarianceOfParameters(int, int) - Method in class org.apache.commons.math3.stat.regression.RegressionResults
-
Returns the covariance between regression parameters i and j.
- getCovariances() - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
-
Gets the covariance matrix.
- getCovariances() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.As of 3.1. Please use
AbstractLeastSquaresOptimizer.computeCovariances(double[],double)
instead. - getCovariances(double) - Method in class org.apache.commons.math3.fitting.leastsquares.AbstractEvaluation
-
Get the covariance matrix of the optimized parameters.
- getCovariances(double) - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation
-
Get the covariance matrix of the optimized parameters.
- getCovariances(double) - Method in class org.apache.commons.math3.fitting.leastsquares.OptimumImpl
-
Get the covariance matrix of the optimized parameters.
- getCovariances(double) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.As of 3.1. Please use
AbstractLeastSquaresOptimizer.computeCovariances(double[],double)
instead. - getCrossoverPoints() - Method in class org.apache.commons.math3.genetics.NPointCrossover
-
Returns the number of crossover points used by this
CrossoverPolicy
. - getCrossoverPolicy() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
Returns the crossover policy.
- getCrossoverRate() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
Returns the crossover rate.
- getCumFreq(char) - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the cumulative frequency of values less than or equal to v.
- getCumFreq(int) - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the cumulative frequency of values less than or equal to v.
- getCumFreq(long) - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the cumulative frequency of values less than or equal to v.
- getCumFreq(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the cumulative frequency of values less than or equal to v.
- getCumPct(char) - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).
- getCumPct(int) - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).
- getCumPct(long) - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).
- getCumPct(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).
- getCurrentMainSetJacobian(double[][]) - Method in class org.apache.commons.math3.ode.JacobianMatrices
-
Get the current value of the Jacobian matrix with respect to state.
- getCurrentParameterJacobian(String, double[]) - Method in class org.apache.commons.math3.ode.JacobianMatrices
-
Get the current value of the Jacobian matrix with respect to one parameter.
- getCurrentSignedStepsize() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Get the current signed value of the integration stepsize.
- getCurrentSignedStepsize() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Get the current signed value of the integration stepsize.
- getCurrentSignedStepsize() - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator
-
Get the current signed value of the integration stepsize.
- getCurrentSignedStepsize() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
-
Get the current signed value of the integration stepsize.
- getCurrentState() - Method in class org.apache.commons.math3.ode.sampling.AbstractFieldStepInterpolator
-
Get the state at current grid point time.
- getCurrentState() - Method in interface org.apache.commons.math3.ode.sampling.FieldStepInterpolator
-
Get the state at current grid point time.
- getCurrentStepStart() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Get the current value of the step start time ti.
- getCurrentStepStart() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Get the current value of the step start time ti.
- getCurrentStepStart() - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator
-
Get the current value of the step start time ti.
- getCurrentStepStart() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Get the current value of the step start time ti.
- getCurrentStepStart() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
-
Get the current value of the step start time ti.
- getCurrentTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Get the current soft grid point time.
- getCurrentTime() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
-
Get the current grid point time.
- getCut() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Get the cut sub-hyperplane.
- getD() - Method in class org.apache.commons.math3.linear.EigenDecomposition
-
Gets the block diagonal matrix D of the decomposition.
- getData() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Returns matrix entries as a two-dimensional array.
- getData() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns matrix entries as a two-dimensional array.
- getData() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Returns matrix entries as a two-dimensional array.
- getData() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Returns matrix entries as a two-dimensional array.
- getData() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Returns vector entries as a T array.
- getData() - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Returns matrix entries as a two-dimensional array.
- getData() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Returns matrix entries as a two-dimensional array.
- getData() - Method in class org.apache.commons.math3.linear.DiagonalMatrix
-
Returns matrix entries as a two-dimensional array.
- getData() - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Returns matrix entries as a two-dimensional array.
- getData() - Method in interface org.apache.commons.math3.linear.FieldVector
-
Deprecated.as of 3.1, to be removed in 4.0. Please use the
FieldVector.toArray()
method instead. - getData() - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Returns matrix entries as a two-dimensional array.
- getData() - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Deprecated.as of 3.1, to be removed in 4.0. Please use the
SparseFieldVector.toArray()
method instead. - getData() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get the tableau data.
- getData() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Get the tableau data.
- getData() - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
-
Return the covariance matrix as two-dimensional array.
- getData() - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
-
Get a copy of the stored data array.
- getDataPoints() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
-
Returns an unmodifiable list of the data points used in the last call to
FuzzyKMeansClusterer.cluster(Collection)
. - getDataRef() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Get a reference to the underlying data array.
- getDataRef() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Get a reference to the underlying data array.
- getDataRef() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Returns a reference to the underlying data array.
- getDataRef() - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Get a reference to the underlying data array.
- getDataRef() - Method in class org.apache.commons.math3.linear.DiagonalMatrix
-
Gets a reference to the underlying data array.
- getDataRef() - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
-
Get a reference to the stored data array.
- getDecimalDigits() - Method in class org.apache.commons.math3.dfp.DfpDec
-
Get the number of decimal digits this class is going to represent.
- getDecomposition() - Method in class org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer
-
Get the matrix decomposition algorithm used to solve the normal equations.
- getDefaultNumberFormat() - Static method in class org.apache.commons.math3.fraction.AbstractFormat
-
Create a default number format.
- getDefaultNumberFormat() - Static method in class org.apache.commons.math3.fraction.FractionFormat
-
Create a default number format.
- getDefaultNumberFormat() - Static method in class org.apache.commons.math3.util.CompositeFormat
-
Create a default number format.
- getDefaultNumberFormat(Locale) - Static method in class org.apache.commons.math3.fraction.AbstractFormat
-
Create a default number format.
- getDefaultNumberFormat(Locale) - Static method in class org.apache.commons.math3.util.CompositeFormat
-
Create a default number format.
- getDegreesOfFreedom() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Access the number of degrees of freedom.
- getDegreesOfFreedom() - Method in class org.apache.commons.math3.distribution.TDistribution
-
Access the degrees of freedom.
- getDelegate() - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.To be removed in 4.0.
- getDelta() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Get the elevation of the vector.
- getDelta() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Get the elevation of the vector.
- getDenominator() - Method in class org.apache.commons.math3.fraction.BigFraction
-
Access the denominator as a
BigInteger
. - getDenominator() - Method in class org.apache.commons.math3.fraction.Fraction
-
Access the denominator.
- getDenominatorAsInt() - Method in class org.apache.commons.math3.fraction.BigFraction
-
Access the denominator as a
int
. - getDenominatorAsLong() - Method in class org.apache.commons.math3.fraction.BigFraction
-
Access the denominator as a
long
. - getDenominatorDegreesOfFreedom() - Method in class org.apache.commons.math3.distribution.FDistribution
-
Access the denominator degrees of freedom.
- getDenominatorFormat() - Method in class org.apache.commons.math3.fraction.AbstractFormat
-
Access the denominator format.
- getDerivative() - Method in class org.apache.commons.math3.ode.FieldODEStateAndDerivative
-
Get derivative of the main state at time.
- getDerivative(int) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Get the derivative with respect to a particular index variable.
- getDeterminant() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition
-
Return the determinant of the matrix
- getDeterminant() - Method in class org.apache.commons.math3.linear.EigenDecomposition
-
Computes the determinant of the matrix.
- getDeterminant() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
-
Return the determinant of the matrix.
- getDeterminant() - Method in class org.apache.commons.math3.linear.LUDecomposition
-
Return the determinant of the matrix
- getDeviancePart(double, double) - Static method in class org.apache.commons.math3.distribution.SaddlePointExpansion
-
A part of the deviance portion of the saddle point approximation.
- getDiagonalOfHatMatrix(double[]) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
Gets the diagonal of the Hat matrix also known as the leverage matrix.
- getDimension() - Method in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere
-
Get the space dimensionality.
- getDimension() - Method in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
-
Gets the number of random variables of the distribution.
- getDimension() - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution
-
Gets the number of random variables of the distribution.
- getDimension() - Method in exception class org.apache.commons.math3.exception.DimensionMismatchException
- getDimension() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D
-
Get the dimension of the space.
- getDimension() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D
-
Get the dimension of the space.
- getDimension() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D
-
Get the dimension of the space.
- getDimension() - Method in interface org.apache.commons.math3.geometry.Space
-
Get the dimension of the space.
- getDimension() - Method in class org.apache.commons.math3.geometry.spherical.oned.Sphere1D
-
Get the dimension of the space.
- getDimension() - Method in class org.apache.commons.math3.geometry.spherical.twod.Sphere2D
-
Get the dimension of the space.
- getDimension() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Returns the size of the vector.
- getDimension() - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Returns the size of the vector.
- getDimension() - Method in interface org.apache.commons.math3.linear.FieldVector
-
Returns the size of the vector.
- getDimension() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Returns the size of the vector.
- getDimension() - Method in class org.apache.commons.math3.linear.RealVector
-
Returns the size of the vector.
- getDimension() - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Returns the size of the vector.
- getDimension() - Method in class org.apache.commons.math3.ode.EquationsMapper
-
Get the dimension of the secondary state parameters.
- getDimension() - Method in interface org.apache.commons.math3.ode.FieldSecondaryEquations
-
Get the dimension of the secondary state parameters.
- getDimension() - Method in class org.apache.commons.math3.ode.FirstOrderConverter
-
Get the dimension of the problem.
- getDimension() - Method in interface org.apache.commons.math3.ode.FirstOrderDifferentialEquations
-
Get the dimension of the problem.
- getDimension() - Method in interface org.apache.commons.math3.ode.FirstOrderFieldDifferentialEquations
-
Get the dimension of the problem.
- getDimension() - Method in class org.apache.commons.math3.ode.JacobianMatrices.JacobiansSecondaryEquations
-
Get the dimension of the secondary state parameters.
- getDimension() - Method in class org.apache.commons.math3.ode.JacobianMatrices.MainStateJacobianWrapper
-
Get the dimension of the problem.
- getDimension() - Method in class org.apache.commons.math3.ode.ParameterizedWrapper
-
Get the dimension of the underlying FODE.
- getDimension() - Method in interface org.apache.commons.math3.ode.SecondaryEquations
-
Get the dimension of the secondary state parameters.
- getDimension() - Method in interface org.apache.commons.math3.ode.SecondOrderDifferentialEquations
-
Get the dimension of the problem.
- getDimension() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
Get simplex dimension.
- getDimension() - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.Get simplex dimension.
- getDimension() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Returns the dimension of the data
- getDimension() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
-
Returns the dimension of the data
- getDimension() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Returns the dimension of the data
- getDimension() - Method in class org.apache.commons.math3.util.MultidimensionalCounter
-
Get the number of dimensions of the multidimensional counter.
- getDimensionSizes() - Method in class org.apache.commons.math3.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
-
Deprecated.Get the size in all dimensions.
- getDirection() - Method in exception class org.apache.commons.math3.exception.NonMonotonicSequenceException
- getDirection() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Get the normalized direction vector.
- getDirection() - Method in enum org.apache.commons.math3.stat.descriptive.moment.SemiVariance.Direction
-
Returns the value of this Direction.
- getDistance(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Optimized method to compute distance.
- getDistance(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Distance between two vectors.
- getDistance(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Distance between two vectors.
- getDistance(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
-
Distance between two vectors.
- getDistanceMeasure() - Method in class org.apache.commons.math3.ml.clustering.Clusterer
-
Returns the
DistanceMeasure
instance used by this clusterer. - getDomain(int, int, int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
Return the domain for the given hypergeometric distribution parameters.
- getE() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant e.
- getEdges() - Method in class org.apache.commons.math3.geometry.spherical.twod.EdgesBuilder
-
Get the boundary edges.
- getEigenvector(int) - Method in class org.apache.commons.math3.linear.EigenDecomposition
-
Gets a copy of the ith eigenvector of the original matrix.
- getElement() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Deprecated.Get the contained element.
- getElement(int) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the element at the specified index
- getElement(int) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
-
Returns the element at the specified index
- getElement(int) - Method in interface org.apache.commons.math3.util.DoubleArray
-
Returns the element at the specified index.
- getElement(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Returns the element at the specified index
- getElement(int, int) - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
-
Gets the element at index (i, j) from the covariance matrix
- getElements() - Method in interface org.apache.commons.math3.util.DoubleArray
-
Returns a double[] array containing the elements of this
DoubleArray
. - getElements() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Returns a double array containing the elements of this
ResizableArray
. - getElitismRate() - Method in class org.apache.commons.math3.genetics.ElitisticListPopulation
-
Access the elitism rate.
- getEmpiricalDistribution() - Method in class org.apache.commons.math3.random.ValueServer
-
Returns the
EmpiricalDistribution
used when operating in 0. - getEmptyClusterStrategy() - Method in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
-
Returns the
KMeansPlusPlusClusterer.EmptyClusterStrategy
used by this instance. - getEnclosingCap() - Method in class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
-
Get a spherical cap enclosing the polygon.
- getEnd() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Segment
-
Get the end point of the segment.
- getEnd() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Edge
-
Get end vertex.
- getEnd() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Segment
-
Get the end point of the segment.
- getEnd() - Method in class org.apache.commons.math3.geometry.spherical.twod.Edge
-
Get end vertex.
- getEndNode() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.ConnectableSegment
-
Get the node whose intersection with current node defines end point.
- getEntries() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Get the entries of this instance.
- getEntries() - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Get the entries of this instance.
- getEntry(int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Returns the entry in the specified index.
- getEntry(int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Return the entry at the specified index.
- getEntry(int) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Returns the entry in the specified index.
- getEntry(int) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Return the entry at the specified index.
- getEntry(int) - Method in class org.apache.commons.math3.linear.RealVector
-
Return the entry at the specified index.
- getEntry(int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Returns the entry in the specified index.
- getEntry(int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Returns the entry in the specified row and column.
- getEntry(int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Get the entry in the specified row and column.
- getEntry(int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Returns the entry in the specified row and column.
- getEntry(int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Get the entry in the specified row and column.
- getEntry(int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Returns the entry in the specified row and column.
- getEntry(int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Get the entry in the specified row and column.
- getEntry(int, int) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
-
Get the entry in the specified row and column.
- getEntry(int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Returns the entry in the specified row and column.
- getEntry(int, int) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Get the entry in the specified row and column.
- getEntry(int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Get the entry in the specified row and column.
- getEntry(int, int) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
-
Returns the entry in the specified row and column.
- getEntry(int, int) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get an entry of the tableau.
- getEntry(int, int) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Get an entry of the tableau.
- getEps() - Method in class org.apache.commons.math3.ml.clustering.DBSCANClusterer
-
Returns the maximum radius of the neighborhood to be considered.
- getEps() - Method in class org.apache.commons.math3.stat.clustering.DBSCANClusterer
-
Deprecated.Returns the maximum radius of the neighborhood to be considered.
- getEpsilon() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
-
Returns the convergence criteria used by this instance.
- getEquations() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Get the differential equations to integrate.
- getErrorCovariance() - Method in class org.apache.commons.math3.filter.KalmanFilter
-
Returns the current error covariance matrix.
- getErrorCovarianceMatrix() - Method in class org.apache.commons.math3.filter.KalmanFilter
-
Returns a copy of the current error covariance matrix.
- getErrorSumSquares() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
-
Returns the sum of squared errors (SSE) associated with the regression model.
- getESplit() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant e split in two pieces.
- getEstimationType() - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Get the estimation
type
used for computation. - getEvaluationCounter() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter
-
Get a independent Incrementor that counts up to the maximum number of evaluations and then throws an exception.
- getEvaluationCounter() - Method in class org.apache.commons.math3.optim.AbstractOptimizationProblem
-
Get a independent Incrementor that counts up to the maximum number of evaluations and then throws an exception.
- getEvaluationCounter() - Method in interface org.apache.commons.math3.optim.OptimizationProblem
-
Get a independent Incrementor that counts up to the maximum number of evaluations and then throws an exception.
- getEvaluations() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Get the number of function evaluations of the last run of the integrator.
- getEvaluations() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
-
Get the number of function evaluations of the last run of the integrator.
- getEvaluations() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Get the number of evaluations of the objective function.
- getEvaluations() - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
-
Get the number of evaluations of the objective function.
- getEvaluations() - Method in interface org.apache.commons.math3.analysis.solvers.BracketedRealFieldUnivariateSolver
-
Get the number of evaluations of the objective function.
- getEvaluations() - Method in class org.apache.commons.math3.analysis.solvers.FieldBracketingNthOrderBrentSolver
-
Get the number of evaluations of the objective function.
- getEvaluations() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresOptimizer.Optimum
-
Get the number of times the model was evaluated in order to produce this optimum.
- getEvaluations() - Method in class org.apache.commons.math3.fitting.leastsquares.OptimumImpl
-
Get the number of times the model was evaluated in order to produce this optimum.
- getEvaluations() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Get the number of evaluations of the differential equations function.
- getEvaluations() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Get the number of evaluations of the differential equations function.
- getEvaluations() - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator
-
Get the number of evaluations of the differential equations function.
- getEvaluations() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
-
Get the number of evaluations of the differential equations function.
- getEvaluations() - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
-
Gets the number of evaluations of the objective function.
- getEvaluations() - Method in class org.apache.commons.math3.optim.BaseOptimizer
-
Gets the number of evaluations of the objective function.
- getEvaluations() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
- getEvaluations() - Method in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
-
Gets the number of evaluations of the objective function.
- getEvaluations() - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
-
Deprecated.Get the number of evaluations of the objective function.
- getEvaluations() - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
-
Deprecated.Get the number of evaluations of the objective function.
- getEvaluations() - Method in interface org.apache.commons.math3.optimization.BaseOptimizer
-
Deprecated.Get the number of evaluations of the objective function.
- getEvaluations() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.Get the number of evaluations of the objective function.
- getEvaluations() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.Get the number of evaluations of the objective function.
- getEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.Get the number of evaluations of the objective function.
- getEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.
- getEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
-
Deprecated.Get the number of evaluations of the objective function.
- getEvaluationsCounter() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Get the evaluations counter.
- getEvaluationsCounter() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Deprecated.as of 3.6 replaced with
AbstractIntegrator.getCounter()
- getEventHandler() - Method in class org.apache.commons.math3.ode.events.EventState
-
Get the underlying event handler.
- getEventHandler() - Method in class org.apache.commons.math3.ode.events.FieldEventState
-
Get the underlying event handler.
- getEventHandlers() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Get all the event handlers that have been added to the integrator.
- getEventHandlers() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Get all the event handlers that have been added to the integrator.
- getEventHandlers() - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator
-
Get all the event handlers that have been added to the integrator.
- getEventHandlers() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
-
Get all the event handlers that have been added to the integrator.
- getEventTime() - Method in class org.apache.commons.math3.ode.events.EventState
-
Get the occurrence time of the event triggered in the current step.
- getEventTime() - Method in class org.apache.commons.math3.ode.events.FieldEventState
-
Get the occurrence time of the event triggered in the current step.
- getException() - Method in exception class org.apache.commons.math3.ode.events.EventState.LocalMaxCountExceededException
-
Get the wrapped exception.
- getExpandable() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Get the differential equations to integrate.
- getExpansionFactor() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Deprecated.As of 3.1. Return type will be changed to "double" in 4.0.
- getExpansionMode() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Deprecated.As of 3.1. Return value to be changed to
ResizableDoubleArray.ExpansionMode
in 4.0. - getExpectedColumnDimension() - Method in exception class org.apache.commons.math3.linear.MatrixDimensionMismatchException
- getExpectedDimension(int) - Method in exception class org.apache.commons.math3.exception.MultiDimensionMismatchException
- getExpectedDimensions() - Method in exception class org.apache.commons.math3.exception.MultiDimensionMismatchException
- getExpectedRowDimension() - Method in exception class org.apache.commons.math3.linear.MatrixDimensionMismatchException
- getExponent() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Return the exponent of the instance value, removing the bias.
- getExponent() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
-
Get the exponent characterizing the distribution.
- getExponent(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Return the exponent of a double number, removing the bias.
- getExponent(float) - Static method in class org.apache.commons.math3.util.FastMath
-
Return the exponent of a float number, removing the bias.
- getExponentTerm(double[]) - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
-
Computes the term used in the exponent (see definition of the distribution).
- getFarthestPoint(Collection<CentroidCluster<T>>) - Method in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
-
Get the point farthest to its cluster center
- getFarthestPoint(Collection<Cluster<T>>) - Method in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
-
Deprecated.Get the point farthest to its cluster center
- getFeatures() - Method in class org.apache.commons.math3.ml.neuralnet.Neuron
-
Gets the neuron's features.
- getFeatures(int) - Method in class org.apache.commons.math3.ml.neuralnet.oned.NeuronString
-
Retrieves the features set from the neuron at location
i
in the map. - getFeaturesSize() - Method in class org.apache.commons.math3.ml.neuralnet.Network
-
Gets the size of the neurons' features set.
- getFHi() - Method in exception class org.apache.commons.math3.exception.NoBracketingException
-
Get the value at the higher end of the interval.
- getFHi() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
-
Get function value at
BracketFinder.getHi()
. - getFHi() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.Get function value at
BracketFinder.getHi()
. - getField() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Get the
Field
to which the instance belongs. - getField() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Get the
Field
to which the instance belongs. - getField() - Method in class org.apache.commons.math3.complex.Complex
-
Get the
Field
to which the instance belongs. - getField() - Method in class org.apache.commons.math3.dfp.Dfp
- getField() - Method in interface org.apache.commons.math3.FieldElement
-
Get the
Field
to which the instance belongs. - getField() - Method in class org.apache.commons.math3.fraction.BigFraction
-
Get the
Field
to which the instance belongs. - getField() - Method in class org.apache.commons.math3.fraction.Fraction
-
Get the
Field
to which the instance belongs. - getField() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Get the type of field elements of the matrix.
- getField() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Get the type of field elements of the vector.
- getField() - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Get the type of field elements of the matrix.
- getField() - Method in interface org.apache.commons.math3.linear.FieldVector
-
Get the type of field elements of the vector.
- getField() - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Get the type of field elements of the vector.
- getField() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Get the field to which state vector elements belong.
- getField() - Method in class org.apache.commons.math3.util.BigReal
-
Get the
Field
to which the instance belongs. - getField() - Method in class org.apache.commons.math3.util.Decimal64
-
Get the
Field
to which the instance belongs. - getFinalTime() - Method in class org.apache.commons.math3.ode.ContinuousOutputFieldModel
-
Get the final integration time.
- getFinalTime() - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
-
Get the final integration time.
- getFirst() - Method in class org.apache.commons.math3.genetics.ChromosomePair
-
Access the first chromosome.
- getFirst() - Method in class org.apache.commons.math3.util.Pair
-
Get the first element of the pair.
- getFirstArcStart() - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
-
Get the node corresponding to the first arc start.
- getFirstIndex() - Method in class org.apache.commons.math3.ode.EquationsMapper
-
Get the index of the first equation element in complete state arrays.
- getFirstIntervalBoundary() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Get the node corresponding to the first interval boundary.
- getFirstLeaf(BSPTree<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Get the first leaf node of a tree.
- getFirstLeaf(BSPTree<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
-
Get the first leaf node of a tree.
- getFitness() - Method in class org.apache.commons.math3.genetics.Chromosome
-
Access the fitness of this chromosome.
- getFittedModel() - Method in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization
-
Gets the fitted model.
- getFittestChromosome() - Method in class org.apache.commons.math3.genetics.ListPopulation
-
Access the fittest chromosome in this population.
- getFittestChromosome() - Method in interface org.apache.commons.math3.genetics.Population
-
Access the fittest chromosome in this population.
- getFLo() - Method in exception class org.apache.commons.math3.exception.NoBracketingException
-
Get the value at the lower end of the interval.
- getFLo() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
-
Get function value at
BracketFinder.getLo()
. - getFLo() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.Get function value at
BracketFinder.getLo()
. - getFMid() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
-
Get function value at
BracketFinder.getMid()
. - getFMid() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.Get function value at
BracketFinder.getMid()
. - getFollowingEdge(Edge) - Method in class org.apache.commons.math3.geometry.spherical.twod.EdgesBuilder
-
Get the edge that should naturally follow another one.
- getFormat() - Method in class org.apache.commons.math3.geometry.VectorFormat
-
Get the components format.
- getFormat() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
-
Get the components format.
- getFormat() - Method in class org.apache.commons.math3.linear.RealVectorFormat
-
Get the components format.
- getFreeParameters() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Get the number of free parameters.
- getFreeParameters() - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Get the number of free parameters.
- getFrobeniusNorm() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns the Frobenius norm of the matrix.
- getFrobeniusNorm() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Returns the Frobenius norm of the matrix.
- getFrobeniusNorm() - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Returns the Frobenius norm of the matrix.
- getFunction() - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer
- getFunction() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
-
Deprecated.
- getFunctionValueAccuracy() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Get the function value accuracy of the solver.
- getFunctionValueAccuracy() - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
-
Get the function value accuracy of the solver.
- getFunctionValueAccuracy() - Method in interface org.apache.commons.math3.analysis.solvers.BracketedRealFieldUnivariateSolver
-
Get the function value accuracy of the solver.
- getFunctionValueAccuracy() - Method in class org.apache.commons.math3.analysis.solvers.FieldBracketingNthOrderBrentSolver
-
Get the function accuracy.
- getFunctionValueAccuracy() - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
-
Deprecated.Get the function accuracy.
- getFuzziness() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
-
Returns the fuzziness factor used by this instance.
- getGenerationsEvolved() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
Returns the number of generations evolved to reach
StoppingCondition
in the last run. - getGenerator() - Method in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
-
Get the underlying normalized components generator.
- getGeneratorUpperBounds() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Returns a fresh copy of the array of upper bounds of the subintervals of [0,1] used in generating data from the empirical distribution.
- getGeoMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Returns the currently configured geometric mean implementation
- getGeoMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the currently configured geometric mean implementation
- getGeoMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Returns the currently configured geometric mean implementation
- getGeoMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the currently configured geometric mean implementation
- getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Returns the geometric mean of all the aggregated data.
- getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the geometric mean of the available values.
- getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Returns an array whose ith entry is the geometric mean of the ith entries of the arrays that have been added using
MultivariateSummaryStatistics.addValue(double[])
- getGeometricMean() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
-
Returns an array whose ith entry is the geometric mean of the ith entries of the arrays that correspond to each multivariate sample
- getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the geometric mean of the values that have been added.
- getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Returns an array whose ith entry is the geometric mean of the ith entries of the arrays that have been added using
MultivariateSummaryStatistics.addValue(double[])
- getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the geometric mean of the values that have been added.
- getGeometricMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the currently configured geometric mean implementation.
- getGlobalCurrentState() - Method in class org.apache.commons.math3.ode.sampling.AbstractFieldStepInterpolator
-
Get the current global grid point state.
- getGlobalCurrentTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Get the current global grid point time.
- getGlobalPreviousState() - Method in class org.apache.commons.math3.ode.sampling.AbstractFieldStepInterpolator
-
Get the previous global grid point state.
- getGlobalPreviousTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Get the previous global grid point time.
- getGoalType() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
- getGoalType() - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
- getGoalType() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.
- getGoalType() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
-
Deprecated.
- getGoalType() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.
- getH() - Method in class org.apache.commons.math3.linear.HessenbergTransformer
-
Returns the Hessenberg matrix H of the transform.
- getH() - Method in class org.apache.commons.math3.linear.QRDecomposition
-
Returns the Householder reflector vectors.
- getHeight() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get the height of the tableau.
- getHeight() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Get the height of the tableau.
- getHi() - Method in exception class org.apache.commons.math3.exception.NoBracketingException
-
Get the higher end of the interval.
- getHi() - Method in exception class org.apache.commons.math3.exception.OutOfRangeException
- getHi() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
- getHi() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.
- getHouseholderVectorsRef() - Method in class org.apache.commons.math3.linear.BiDiagonalTransformer
-
Get the Householder vectors of the transform.
- getHouseholderVectorsRef() - Method in class org.apache.commons.math3.linear.HessenbergTransformer
-
Get the Householder vectors of the transform.
- getHouseholderVectorsRef() - Method in class org.apache.commons.math3.linear.TriDiagonalTransformer
-
Get the Householder vectors of the transform.
- getHP() - Method in class org.apache.commons.math3.ode.ParameterConfiguration
-
Get parameter step.
- getHyperplane() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
-
Get the underlying hyperplane.
- getHyperplane() - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
-
Get the underlying hyperplane.
- getIdentifier() - Method in class org.apache.commons.math3.ml.neuralnet.Neuron
-
Gets the neuron's identifier.
- getIEEEFlags() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the IEEE 854 status flags.
- getImagEigenvalue(int) - Method in class org.apache.commons.math3.linear.EigenDecomposition
-
Gets the imaginary part of the ith eigenvalue of the original matrix.
- getImagEigenvalues() - Method in class org.apache.commons.math3.linear.EigenDecomposition
-
Gets a copy of the imaginary parts of the eigenvalues of the original matrix.
- getImaginary() - Method in class org.apache.commons.math3.complex.Complex
-
Access the imaginary part.
- getImaginary(int) - Method in class org.apache.commons.math3.complex.RootsOfUnity
-
Get the imaginary part of the
k
-thn
-th root of unity. - getImaginaryCharacter() - Method in class org.apache.commons.math3.complex.ComplexFormat
-
Access the imaginaryCharacter.
- getImaginaryFormat() - Method in class org.apache.commons.math3.complex.ComplexFormat
-
Access the imaginaryFormat.
- getImproperInstance() - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
-
Returns the default complex format for the current locale.
- getImproperInstance() - Static method in class org.apache.commons.math3.fraction.FractionFormat
-
Returns the default complex format for the current locale.
- getImproperInstance(Locale) - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
-
Returns the default complex format for the given locale.
- getImproperInstance(Locale) - Static method in class org.apache.commons.math3.fraction.FractionFormat
-
Returns the default complex format for the given locale.
- getIncoming() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Vertex
-
Get incoming edge.
- getIncoming() - Method in class org.apache.commons.math3.geometry.spherical.twod.Vertex
-
Get incoming edge.
- getIndex() - Method in exception class org.apache.commons.math3.exception.NonMonotonicSequenceException
-
Get the index of the wrong value.
- getIndex() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapEntry
-
Get the index of the entry.
- getIndex() - Method in class org.apache.commons.math3.linear.RealVector.Entry
-
Get the index of the entry.
- getInf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
-
Get the lower bound of the interval.
- getInf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Get the lowest value belonging to the instance.
- getInf() - Method in class org.apache.commons.math3.geometry.spherical.oned.Arc
-
Get the lower angular bound of the arc.
- getInitialErrorCovariance() - Method in class org.apache.commons.math3.filter.DefaultProcessModel
-
Returns the initial error covariance matrix.
- getInitialErrorCovariance() - Method in interface org.apache.commons.math3.filter.ProcessModel
-
Returns the initial error covariance matrix.
- getInitialGuess() - Method in class org.apache.commons.math3.optim.InitialGuess
-
Gets the initial guess.
- getInitialGuess() - Method in class org.apache.commons.math3.optimization.InitialGuess
-
Deprecated.Gets the initial guess.
- getInitialStateEstimate() - Method in class org.apache.commons.math3.filter.DefaultProcessModel
-
Returns the initial state estimation vector.
- getInitialStateEstimate() - Method in interface org.apache.commons.math3.filter.ProcessModel
-
Returns the initial state estimation vector.
- getInitialStepBoundFactor() - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
-
Gets the value of a tuning parameter.
- getInitialTime() - Method in class org.apache.commons.math3.ode.ContinuousOutputFieldModel
-
Get the initial integration time.
- getInitialTime() - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
-
Get the initial integration time.
- getInsideArc(Circle) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
-
Get the arc of the instance that lies inside the other circle.
- getInsidePoints() - Method in class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
-
Gather some inside points.
- getInsideSplitters() - Method in class org.apache.commons.math3.geometry.partitioning.Characterization
-
Get the nodes that were used to split the inside touching part.
- getInstance() - Static method in class org.apache.commons.math3.complex.ComplexField
-
Get the unique instance.
- getInstance() - Static method in class org.apache.commons.math3.complex.ComplexFormat
-
Returns the default complex format for the current locale.
- getInstance() - Static method in class org.apache.commons.math3.fraction.BigFractionField
-
Get the unique instance.
- getInstance() - Static method in class org.apache.commons.math3.fraction.FractionField
-
Get the unique instance.
- getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D
-
Get the unique instance.
- getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
-
Returns the default 1D vector format for the current locale.
- getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D
-
Get the unique instance.
- getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
-
Returns the default 3D vector format for the current locale.
- getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D
-
Get the unique instance.
- getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
-
Returns the default 2D vector format for the current locale.
- getInstance() - Static method in class org.apache.commons.math3.geometry.spherical.oned.Sphere1D
-
Get the unique instance.
- getInstance() - Static method in class org.apache.commons.math3.geometry.spherical.twod.Sphere2D
-
Get the unique instance.
- getInstance() - Static method in class org.apache.commons.math3.linear.RealMatrixFormat
-
Returns the default real vector format for the current locale.
- getInstance() - Static method in class org.apache.commons.math3.linear.RealVectorFormat
-
Returns the default real vector format for the current locale.
- getInstance() - Static method in class org.apache.commons.math3.ode.sampling.DummyStepHandler
-
Get the only instance.
- getInstance() - Static method in class org.apache.commons.math3.util.BigRealField
-
Get the unique instance.
- getInstance() - Static method in class org.apache.commons.math3.util.Decimal64Field
-
Returns the unique instance of this class.
- getInstance(int) - Static method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
-
Get the Nordsieck transformer for a given number of steps.
- getInstance(String, Locale) - Static method in class org.apache.commons.math3.complex.ComplexFormat
-
Returns the default complex format for the given locale.
- getInstance(Locale) - Static method in class org.apache.commons.math3.complex.ComplexFormat
-
Returns the default complex format for the given locale.
- getInstance(Locale) - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
-
Returns the default 1D vector format for the given locale.
- getInstance(Locale) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
-
Returns the default 3D vector format for the given locale.
- getInstance(Locale) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
-
Returns the default 2D vector format for the given locale.
- getInstance(Locale) - Static method in class org.apache.commons.math3.linear.RealMatrixFormat
-
Returns the default real vector format for the given locale.
- getInstance(Locale) - Static method in class org.apache.commons.math3.linear.RealVectorFormat
-
Returns the default real vector format for the given locale.
- getInstance(Field<T>, int) - Static method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckFieldTransformer
-
Get the Nordsieck transformer for a given field and number of steps.
- getIntercept() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Returns the intercept of the estimated regression line, if
SimpleRegression.hasIntercept()
is true; otherwise 0. - getIntercept(double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Returns the intercept of the estimated regression line, given the slope.
- getInterceptStdErr() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Returns the standard error of the intercept estimate, usually denoted s(b0).
- getInternalLength() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Deprecated.As of 3.1. Please use
ResizableDoubleArray.getCapacity()
instead. - getInternalValues() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Deprecated.As of 3.1.
- getInterpolatedDerivatives() - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
-
Get the derivatives of the state vector of the interpolated point.
- getInterpolatedDerivatives() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Get the derivatives of the state vector of the interpolated point.
- getInterpolatedDerivatives() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
-
Get the derivatives of the state vector of the interpolated point.
- getInterpolatedSecondaryDerivatives(int) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
-
Get the interpolated secondary derivatives corresponding to the secondary equations.
- getInterpolatedSecondaryDerivatives(int) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Get the interpolated secondary derivatives corresponding to the secondary equations.
- getInterpolatedSecondaryDerivatives(int) - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
-
Get the interpolated secondary derivatives corresponding to the secondary equations.
- getInterpolatedSecondaryState(int) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
-
Get the interpolated secondary state corresponding to the secondary equations.
- getInterpolatedSecondaryState(int) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Get the interpolated secondary state corresponding to the secondary equations.
- getInterpolatedSecondaryState(int) - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
-
Get the interpolated secondary state corresponding to the secondary equations.
- getInterpolatedState() - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
-
Get the state vector of the interpolated point.
- getInterpolatedState() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Get the state vector of the interpolated point.
- getInterpolatedState() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
-
Get the state vector of the interpolated point.
- getInterpolatedState(T) - Method in class org.apache.commons.math3.ode.ContinuousOutputFieldModel
-
Get the state at interpolated time.
- getInterpolatedState(T) - Method in class org.apache.commons.math3.ode.sampling.AbstractFieldStepInterpolator
-
Get the state at interpolated time.
- getInterpolatedState(T) - Method in interface org.apache.commons.math3.ode.sampling.FieldStepInterpolator
-
Get the state at interpolated time.
- getInterpolatedStateVariation() - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
-
Get the state vector variation from current to interpolated state.
- getInterpolatedTime() - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
-
Get the time of the interpolated point.
- getInterpolatedTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Get the time of the interpolated point.
- getInterpolatedTime() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
-
Get the time of the interpolated point.
- getInterpolatingPoints() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
-
Returns a copy of the interpolating points array.
- getInterpolatingValues() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
-
Returns a copy of the interpolating values array.
- getInterpolationPointsForY(WeightedObservedPoint[], int, int, double) - Method in class org.apache.commons.math3.fitting.GaussianCurveFitter.ParameterGuesser
-
Gets the two bounding interpolation points from the specified points suitable for determining X at the specified Y.
- getInterpolationPointsForY(WeightedObservedPoint[], int, int, double) - Method in class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
-
Deprecated.Gets the two bounding interpolation points from the specified points suitable for determining X at the specified Y.
- getInterpolationPointsForY(WeightedObservedPoint[], int, int, double) - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
-
Deprecated.Gets the two bounding interpolation points from the specified points suitable for determining X at the specified Y.
- getInverse() - Method in class org.apache.commons.math3.complex.Quaternion
-
Returns the inverse of this instance.
- getInverse() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition.Solver
-
Get the inverse of the decomposed matrix.
- getInverse() - Method in interface org.apache.commons.math3.linear.DecompositionSolver
-
Get the pseudo-inverse of the decomposed matrix.
- getInverse() - Method in class org.apache.commons.math3.linear.EigenDecomposition.Solver
-
Get the inverse of the decomposed matrix.
- getInverse() - Method in interface org.apache.commons.math3.linear.FieldDecompositionSolver
-
Get the inverse (or pseudo-inverse) of the decomposed matrix.
- getInverse() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition.Solver
-
Get the inverse (or pseudo-inverse) of the decomposed matrix.
- getInverse() - Method in class org.apache.commons.math3.linear.LUDecomposition.Solver
-
Get the inverse of the decomposed matrix.
- getInverse() - Method in class org.apache.commons.math3.linear.QRDecomposition.Solver
-
Get the pseudo-inverse of the decomposed matrix.
- getInverse() - Method in class org.apache.commons.math3.linear.RRQRDecomposition.Solver
-
Get the pseudo-inverse of the decomposed matrix.
- getInverse() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition.Solver
-
Get the pseudo-inverse of the decomposed matrix.
- getInverseConditionNumber() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Computes the inverse of the condition number.
- getInvertedCoefficientSum(RealVector) - Static method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get the -1 times the sum of all coefficients in the given array.
- getInvertedCoefficientSum(RealVector) - Static method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Get the -1 times the sum of all coefficients in the given array.
- getIterationCounter() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter
-
Get a independent Incrementor that counts up to the maximum number of iterations and then throws an exception.
- getIterationCounter() - Method in class org.apache.commons.math3.optim.AbstractOptimizationProblem
-
Get a independent Incrementor that counts up to the maximum number of iterations and then throws an exception.
- getIterationCounter() - Method in interface org.apache.commons.math3.optim.OptimizationProblem
-
Get a independent Incrementor that counts up to the maximum number of iterations and then throws an exception.
- getIterationManager() - Method in class org.apache.commons.math3.linear.IterativeLinearSolver
-
Returns the iteration manager attached to this solver.
- getIterations() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Get the number of iterations of the last run of the integrator.
- getIterations() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
-
Get the number of iterations of the last run of the integrator.
- getIterations() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresOptimizer.Optimum
-
Get the number of times the algorithm iterated in order to produce this optimum.
- getIterations() - Method in class org.apache.commons.math3.fitting.leastsquares.OptimumImpl
-
Get the number of times the algorithm iterated in order to produce this optimum.
- getIterations() - Method in class org.apache.commons.math3.optim.BaseOptimizer
-
Gets the number of iterations performed by the algorithm.
- getIterations() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
-
Deprecated.Get the number of iterations realized by the algorithm.
- getIterations() - Method in interface org.apache.commons.math3.optimization.linear.LinearOptimizer
-
Deprecated.Get the number of iterations realized by the algorithm.
- getIterations() - Method in class org.apache.commons.math3.util.IterationEvent
-
Returns the number of iterations performed at the time
this
event is created. - getIterations() - Method in class org.apache.commons.math3.util.IterationManager
-
Returns the number of iterations of this solver, 0 if no iterations has been performed yet.
- getJacobian() - Method in class org.apache.commons.math3.fitting.leastsquares.DenseWeightedEvaluation
-
Get the weighted Jacobian matrix.
- getJacobian() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory.LocalLeastSquaresProblem.LazyUnweightedEvaluation
-
Get the weighted Jacobian matrix.
- getJacobian() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory.LocalLeastSquaresProblem.UnweightedEvaluation
-
Get the weighted Jacobian matrix.
- getJacobian() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation
-
Get the weighted Jacobian matrix.
- getJacobian() - Method in class org.apache.commons.math3.fitting.leastsquares.OptimumImpl
-
Get the weighted Jacobian matrix.
- getJacobianEvaluations() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.
- getK() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
-
Return the number of clusters this instance will use.
- getK() - Method in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
-
Return the number of clusters this instance will use.
- getK() - Method in class org.apache.commons.math3.util.Combinations
-
Gets the number of elements in each combination.
- getK() - Method in class org.apache.commons.math3.util.FastMath.CodyWaite
- getKernel(SummaryStatistics) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
The within-bin smoothing kernel.
- getKey() - Method in class org.apache.commons.math3.util.MathArrays.PairDoubleInteger
- getKey() - Method in class org.apache.commons.math3.util.Pair
-
Get the key.
- getKeys() - Method in class org.apache.commons.math3.exception.util.ExceptionContext
-
Gets all the keys stored in the exception
- getKnots() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
-
Get an array copy of the knot points.
- getKthSelector() - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Get the
kthSelector
used for computation. - getKurtosis() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the Kurtosis of the available values.
- getKurtosisImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the currently configured kurtosis implementation.
- getL() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition
-
Returns the matrix L of the decomposition.
- getL() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
-
Returns the matrix L of the decomposition.
- getL() - Method in class org.apache.commons.math3.linear.LUDecomposition
-
Returns the matrix L of the decomposition.
- getL1Distance(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Distance between two vectors.
- getL1Distance(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Distance between two vectors.
- getL1Distance(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Distance between two vectors.
- getL1Distance(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
-
Distance between two vectors.
- getL1Norm() - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Returns the L1 norm of the vector.
- getL1Norm() - Method in class org.apache.commons.math3.linear.RealVector
-
Returns the L1 norm of the vector.
- getLargest() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
-
Deprecated.Get the node whose element is the largest one in the tree.
- getLargest() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Deprecated.Get the node whose element is the largest one in the tree rooted at this node.
- getLastLeaf(BSPTree<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
-
Get the last leaf node of a tree.
- getLength() - Method in class org.apache.commons.math3.genetics.AbstractListChromosome
-
Returns the length of the chromosome.
- getLength() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
-
Deprecated.as of 3.1, replaced by
Interval.getSize()
- getLength() - Method in class org.apache.commons.math3.geometry.spherical.twod.Edge
-
Get the length of the arc.
- getLine() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Segment
-
Get the line containing the segment.
- getLine() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Edge
-
Get the line supporting this edge.
- getLine() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Segment
-
Get the line containing the segment.
- getLineSegments() - Method in class org.apache.commons.math3.geometry.euclidean.twod.hull.ConvexHull2D
-
Get the line segments of the convex hull, ordered.
- getLInfDistance(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Optimized method to compute LInfDistance.
- getLInfDistance(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Distance between two vectors.
- getLInfDistance(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Distance between two vectors.
- getLInfDistance(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
-
Distance between two vectors.
- getLInfNorm() - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Returns the L∞ norm of the vector.
- getLInfNorm() - Method in class org.apache.commons.math3.linear.RealVector
-
Returns the L∞ norm of the vector.
- getLn10() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant ln(10).
- getLn2() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant ln(2).
- getLn2Split() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant ln(2) split in two pieces.
- getLn5() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant ln(5).
- getLn5Split() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant ln(5) split in two pieces.
- getLo() - Method in exception class org.apache.commons.math3.exception.NoBracketingException
-
Get the lower end of the interval.
- getLo() - Method in exception class org.apache.commons.math3.exception.OutOfRangeException
- getLo() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
- getLo() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.
- getLocalizedMessage() - Method in exception class org.apache.commons.math3.exception.MathArithmeticException
- getLocalizedMessage() - Method in exception class org.apache.commons.math3.exception.MathIllegalArgumentException
- getLocalizedMessage() - Method in exception class org.apache.commons.math3.exception.MathIllegalStateException
- getLocalizedMessage() - Method in exception class org.apache.commons.math3.exception.MathRuntimeException
- getLocalizedMessage() - Method in exception class org.apache.commons.math3.exception.MathUnsupportedOperationException
- getLocalizedMessage() - Method in class org.apache.commons.math3.exception.util.ExceptionContext
-
Gets the message in the default locale.
- getLocalizedString(Locale) - Method in class org.apache.commons.math3.exception.util.DummyLocalizable
-
Gets the localized string.
- getLocalizedString(Locale) - Method in interface org.apache.commons.math3.exception.util.Localizable
-
Gets the localized string.
- getLocalizedString(Locale) - Method in enum org.apache.commons.math3.exception.util.LocalizedFormats
-
Gets the localized string.
- getLocation() - Method in class org.apache.commons.math3.distribution.GumbelDistribution
-
Access the location parameter,
mu
. - getLocation() - Method in class org.apache.commons.math3.distribution.LaplaceDistribution
-
Access the location parameter,
mu
. - getLocation() - Method in class org.apache.commons.math3.distribution.LevyDistribution
-
Get the location parameter of the distribution.
- getLocation() - Method in class org.apache.commons.math3.distribution.LogisticDistribution
-
Access the location parameter,
mu
. - getLocation() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
-
Get the hyperplane location on the real line.
- getLocation() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Vertex
-
Get Vertex location.
- getLocation() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
-
Get the hyperplane location on the circle.
- getLocation() - Method in class org.apache.commons.math3.geometry.spherical.twod.Vertex
-
Get Vertex location.
- getLocation(int, int, NeuronSquareMesh2D.HorizontalDirection, NeuronSquareMesh2D.VerticalDirection) - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
-
Computes the location of a neighbouring neuron.
- getLocation(Neuron) - Method in class org.apache.commons.math3.ml.neuralnet.twod.util.LocationFinder
-
Retrieves a neuron's grid coordinates.
- getLogLikelihood() - Method in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization
-
Gets the log likelihood of the data under the fitted model.
- getLower() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
-
Deprecated.as of 3.1, replaced by
Interval.getInf()
- getLower() - Method in class org.apache.commons.math3.optim.SimpleBounds
-
Gets the lower bounds.
- getLower() - Method in class org.apache.commons.math3.optimization.SimpleBounds
-
Deprecated.Gets the lower bounds.
- getLowerBound() - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
- getLowerBound() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.
- getLowerBound() - Method in class org.apache.commons.math3.stat.interval.ConfidenceInterval
- getLowerDomain(int, int, int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
Return the lowest domain value for the given hypergeometric distribution parameters.
- getLT() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition
-
Returns the transpose of the matrix L of the decomposition.
- getMainDiagonalRef() - Method in class org.apache.commons.math3.linear.BiDiagonalTransformer
-
Get the main diagonal elements of the matrix B of the transform.
- getMainDiagonalRef() - Method in class org.apache.commons.math3.linear.TriDiagonalTransformer
-
Get the main diagonal elements of the matrix T of the transform.
- getMapper() - Method in class org.apache.commons.math3.ode.FieldExpandableODE
-
Get the mapper for the set of equations.
- getMatrix() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Get the 3X3 matrix corresponding to the instance
- getMatrix() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Get the 3X3 matrix corresponding to the instance
- getMax() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
- getMax() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
- getMax() - Method in exception class org.apache.commons.math3.exception.MaxCountExceededException
- getMax() - Method in exception class org.apache.commons.math3.exception.NumberIsTooLargeException
- getMax() - Method in class org.apache.commons.math3.optim.univariate.SearchInterval
-
Gets the upper bound.
- getMax() - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
- getMax() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.
- getMax() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Returns the maximum of the available values
- getMax() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the maximum of the available values
- getMax() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Returns an array whose ith entry is the maximum of the ith entries of the arrays that have been added using
MultivariateSummaryStatistics.addValue(double[])
- getMax() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
-
Returns an array whose ith entry is the maximum of the ith entries of the arrays that correspond to each multivariate sample
- getMax() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
-
Returns the maximum of the available values
- getMax() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
- getMax() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the maximum of the values that have been added.
- getMax() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Returns an array whose ith entry is the maximum of the ith entries of the arrays that have been added using
MultivariateSummaryStatistics.addValue(double[])
- getMax() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the maximum of the values that have been added.
- getMaxCheckInterval() - Method in class org.apache.commons.math3.ode.events.EventState
-
Get the maximal time interval between events handler checks.
- getMaxCheckInterval() - Method in class org.apache.commons.math3.ode.events.FieldEventState
-
Get the maximal time interval between events handler checks.
- getMaxEval() - Method in class org.apache.commons.math3.optim.MaxEval
-
Gets the maximum number of evaluations.
- getMaxEvaluations() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Get the maximum number of function evaluations.
- getMaxEvaluations() - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
-
Get the maximum number of function evaluations.
- getMaxEvaluations() - Method in interface org.apache.commons.math3.analysis.solvers.BracketedRealFieldUnivariateSolver
-
Get the maximum number of function evaluations.
- getMaxEvaluations() - Method in class org.apache.commons.math3.analysis.solvers.FieldBracketingNthOrderBrentSolver
-
Get the maximal number of function evaluations.
- getMaxEvaluations() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Get the maximal number of functions evaluations.
- getMaxEvaluations() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Get the maximal number of functions evaluations.
- getMaxEvaluations() - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator
-
Get the maximal number of functions evaluations.
- getMaxEvaluations() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
-
Get the maximal number of functions evaluations.
- getMaxEvaluations() - Method in class org.apache.commons.math3.optim.BaseOptimizer
-
Gets the maximal number of function evaluations.
- getMaxEvaluations() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
- getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
-
Deprecated.Get the maximal number of function evaluations.
- getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
-
Deprecated.Get the maximal number of function evaluations.
- getMaxEvaluations() - Method in interface org.apache.commons.math3.optimization.BaseOptimizer
-
Deprecated.Get the maximal number of function evaluations.
- getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.Get the maximal number of function evaluations.
- getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.Get the maximal number of function evaluations.
- getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.Get the maximal number of function evaluations.
- getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.
- getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
-
Deprecated.Get the maximal number of function evaluations.
- getMaxGrowth() - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator
-
Get the maximal growth factor for stepsize control.
- getMaxGrowth() - Method in class org.apache.commons.math3.ode.MultistepIntegrator
-
Get the maximal growth factor for stepsize control.
- getMaxGrowth() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
-
Get the maximal growth factor for stepsize control.
- getMaxGrowth() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Get the maximal growth factor for stepsize control.
- getMaximalCount() - Method in class org.apache.commons.math3.util.Incrementor
-
Deprecated.Gets the upper limit of the counter.
- getMaximalCount() - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor
-
Gets the upper limit of the counter.
- getMaximalIterationCount() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Get the upper limit for the number of iterations.
- getMaximalIterationCount() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
-
Get the upper limit for the number of iterations.
- getMaximalOrder() - Method in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
-
Get the maximal order.
- getMaximalOrder() - Method in class org.apache.commons.math3.analysis.solvers.FieldBracketingNthOrderBrentSolver
-
Get the maximal order.
- getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the currently configured maximum implementation.
- getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Returns the currently configured maximum implementation
- getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the currently configured maximum implementation
- getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Returns the currently configured maximum implementation
- getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the currently configured maximum implementation
- getMaxIndex() - Method in class org.apache.commons.math3.linear.RealVector
-
Get the index of the maximum entry.
- getMaxIter() - Method in class org.apache.commons.math3.optim.MaxIter
-
Gets the maximum number of evaluations.
- getMaxIterationCount() - Method in class org.apache.commons.math3.ode.events.EventState
-
Get the upper limit in the iteration count for event localization.
- getMaxIterationCount() - Method in class org.apache.commons.math3.ode.events.FieldEventState
-
Get the upper limit in the iteration count for event localization.
- getMaxIterations() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
-
Returns the maximum number of iterations this instance will use.
- getMaxIterations() - Method in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
-
Returns the maximum number of iterations this instance will use.
- getMaxIterations() - Method in class org.apache.commons.math3.optim.BaseOptimizer
-
Gets the maximal number of iterations.
- getMaxIterations() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
-
Deprecated.Get the maximal number of iterations of the algorithm.
- getMaxIterations() - Method in interface org.apache.commons.math3.optimization.linear.LinearOptimizer
-
Deprecated.Get the maximal number of iterations of the algorithm.
- getMaxIterations() - Method in class org.apache.commons.math3.util.IterationManager
-
Returns the maximum number of iterations.
- getMaxStep() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
-
Get the maximal step.
- getMaxStep() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Get the maximal step.
- getMaxValue() - Method in class org.apache.commons.math3.linear.RealVector
-
Get the value of the maximum entry.
- getMean() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
-
Access the mean.
- getMean() - Method in class org.apache.commons.math3.distribution.NormalDistribution
-
Access the mean.
- getMean() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
-
Get the mean for the distribution.
- getMean() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Returns the arithmetic mean of the available values
- getMean() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the arithmetic mean of the available values
- getMean() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Returns an array whose ith entry is the mean of the ith entries of the arrays that have been added using
MultivariateSummaryStatistics.addValue(double[])
- getMean() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
-
Returns an array whose ith entry is the mean of the ith entries of the arrays that correspond to each multivariate sample
- getMean() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
-
Returns the arithmetic mean of the available values
- getMean() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
- getMean() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the mean of the values that have been added.
- getMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Returns an array whose ith entry is the mean of the ith entries of the arrays that have been added using
MultivariateSummaryStatistics.addValue(double[])
- getMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the mean of the values that have been added.
- getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the currently configured mean implementation.
- getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Returns the currently configured mean implementation
- getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the currently configured mean implementation
- getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Returns the currently configured mean implementation
- getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the currently configured mean implementation
- getMeans() - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
-
Gets the mean vector.
- getMeanSquareError() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
-
Returns the sum of squared errors divided by the degrees of freedom, usually abbreviated MSE.
- getMeanSquareError() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Returns the sum of squared errors divided by the degrees of freedom, usually abbreviated MSE.
- getMeasurementDimension() - Method in class org.apache.commons.math3.filter.KalmanFilter
-
Returns the dimension of the measurement vector.
- getMeasurementMatrix() - Method in class org.apache.commons.math3.filter.DefaultMeasurementModel
-
Returns the measurement matrix.
- getMeasurementMatrix() - Method in interface org.apache.commons.math3.filter.MeasurementModel
-
Returns the measurement matrix.
- getMeasurementNoise() - Method in class org.apache.commons.math3.filter.DefaultMeasurementModel
-
Returns the measurement noise matrix.
- getMeasurementNoise() - Method in interface org.apache.commons.math3.filter.MeasurementModel
-
Returns the measurement noise matrix.
- getMedian() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
-
Access the median.
- getMembershipMatrix() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
-
Returns the
nxk
membership matrix, wheren
is the number of data points andk
the number of clusters. - getMessage() - Method in exception class org.apache.commons.math3.exception.MathArithmeticException
- getMessage() - Method in exception class org.apache.commons.math3.exception.MathIllegalArgumentException
- getMessage() - Method in exception class org.apache.commons.math3.exception.MathIllegalStateException
- getMessage() - Method in exception class org.apache.commons.math3.exception.MathRuntimeException
- getMessage() - Method in exception class org.apache.commons.math3.exception.MathUnsupportedOperationException
- getMessage() - Method in class org.apache.commons.math3.exception.util.ExceptionContext
-
Gets the default message.
- getMessage(Locale) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
-
Gets the message in a specified locale.
- getMessage(Locale, String) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
-
Gets the message in a specified locale.
- getMid() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
- getMid() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.
- getMidPoint() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
-
Deprecated.as of 3.1, replaced by
Interval.getBarycenter()
- getMin() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
- getMin() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
- getMin() - Method in exception class org.apache.commons.math3.exception.NumberIsTooSmallException
- getMin() - Method in class org.apache.commons.math3.optim.univariate.SearchInterval
-
Gets the lower bound.
- getMin() - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
- getMin() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.
- getMin() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Returns the minimum of the available values
- getMin() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the minimum of the available values
- getMin() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Returns an array whose ith entry is the minimum of the ith entries of the arrays that have been added using
MultivariateSummaryStatistics.addValue(double[])
- getMin() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
-
Returns an array whose ith entry is the minimum of the ith entries of the arrays that correspond to each multivariate sample
- getMin() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
-
Returns the minimum of the available values
- getMin() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
- getMin() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the minimum of the values that have been added.
- getMin() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Returns an array whose ith entry is the minimum of the ith entries of the arrays that have been added using
MultivariateSummaryStatistics.addValue(double[])
- getMin() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the minimum of the values that have been added.
- getMinimalIterationCount() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Get the min limit for the number of iterations.
- getMinimalIterationCount() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
-
Get the min limit for the number of iterations.
- getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the currently configured minimum implementation.
- getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Returns the currently configured minimum implementation
- getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the currently configured minimum implementation
- getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Returns the currently configured minimum implementation
- getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the currently configured minimum implementation
- getMinIndex() - Method in class org.apache.commons.math3.linear.RealVector
-
Get the index of the minimum entry.
- getMinPts() - Method in class org.apache.commons.math3.ml.clustering.DBSCANClusterer
-
Returns the minimum number of points needed for a cluster.
- getMinPts() - Method in class org.apache.commons.math3.stat.clustering.DBSCANClusterer
-
Deprecated.Returns the minimum number of points needed for a cluster.
- getMinReduction() - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator
-
Get the minimal reduction factor for stepsize control.
- getMinReduction() - Method in class org.apache.commons.math3.ode.MultistepIntegrator
-
Get the minimal reduction factor for stepsize control.
- getMinReduction() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
-
Get the minimal reduction factor for stepsize control.
- getMinReduction() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Get the minimal reduction factor for stepsize control.
- getMinStep() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
-
Get the minimal step.
- getMinStep() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Get the minimal step.
- getMinus() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Get the tree on the minus side of the cut hyperplane.
- getMinus() - Method in class org.apache.commons.math3.geometry.partitioning.SubHyperplane.SplitSubHyperplane
-
Get the part of the sub-hyperplane on the minus side of the splitting hyperplane.
- getMinus() - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet.Split
-
Get the part of the arcs set on the minus side of the splitting arc.
- getMinValue() - Method in class org.apache.commons.math3.linear.RealVector
-
Get the value of the minimum entry.
- getMode() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
-
Returns the mode
c
of this distribution. - getMode() - Method in class org.apache.commons.math3.random.ValueServer
-
Returns the data generation mode.
- getMode() - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the mode value(s) in comparator order.
- getMode(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Private helper method.
- getModelFunction() - Method in class org.apache.commons.math3.fitting.AbstractCurveFitter.TheoreticalValuesFunction
- getModelFunction() - Method in class org.apache.commons.math3.fitting.CurveFitter.TheoreticalValuesFunction
-
Deprecated.
- getModelFunction() - Method in class org.apache.commons.math3.optim.nonlinear.vector.ModelFunction
-
Deprecated.Gets the model function to be optimized.
- getModelFunctionJacobian() - Method in class org.apache.commons.math3.fitting.AbstractCurveFitter.TheoreticalValuesFunction
- getModelFunctionJacobian() - Method in class org.apache.commons.math3.fitting.CurveFitter.TheoreticalValuesFunction
-
Deprecated.
- getModelFunctionJacobian() - Method in class org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian
-
Deprecated.Gets the Jacobian of the model function to be optimized.
- getMu() - Method in class org.apache.commons.math3.random.ValueServer
-
Returns the mean used when operating in
ValueServer.GAUSSIAN_MODE
,ValueServer.EXPONENTIAL_MODE
orValueServer.UNIFORM_MODE
. - getMutationPolicy() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
Returns the mutation policy.
- getMutationRate() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
Returns the mutation rate.
- getN() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
-
Get the number of spline segments.
- getN() - Method in class org.apache.commons.math3.stat.correlation.Covariance
-
Returns the number of observations (length of covariate vectors)
- getN() - Method in class org.apache.commons.math3.stat.correlation.StorelessBivariateCovariance
-
Returns the number of observations.
- getN() - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
-
This
Covariance
method is not supported by aStorelessCovariance
, since the number of bivariate observations does not have to be the same for different pairs of covariates - i.e., N as defined inCovariance.getN()
is undefined. - getN() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Returns the number of available values
- getN() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the number of available values
- getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
-
Returns the number of values that have been added.
- getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
-
Returns the number of values that have been added.
- getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
-
Returns the number of values that have been added.
- getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
-
Returns the number of values that have been added.
- getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
-
Returns the number of values that have been added.
- getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Returns the number of values that have been added.
- getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Returns the number of values that have been added.
- getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
-
Get the number of vectors in the sample.
- getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
-
Get the number of vectors in the sample.
- getN() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Returns the number of available values
- getN() - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
-
Returns the number of values that have been added.
- getN() - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
-
Returns the number of values that have been added.
- getN() - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
-
Returns the number of values that have been added.
- getN() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
-
Returns the number of available values
- getN() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
-
Returns the number of available values
- getN() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
- getN() - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
-
Returns the number of values that have been added.
- getN() - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
-
Returns the number of values that have been added.
- getN() - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
-
Returns the number of values that have been added.
- getN() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
-
Returns the number of values that have been added.
- getN() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
-
Returns the number of values that have been added.
- getN() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the number of available values
- getN() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
-
Returns the number of available values
- getN() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Returns the number of available values
- getN() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the number of available values
- getN() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
Gets the number of observations added to the regression model.
- getN() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
-
Returns the number of observations added to the regression model.
- getN() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Returns the number of observations that have been added to the model.
- getN() - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
-
Returns the number of observations added to the regression model.
- getN() - Method in class org.apache.commons.math3.util.Combinations
-
Gets the size of the set from which combinations are drawn.
- getName() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Get the name of the method.
- getName() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Get the name of the method.
- getName() - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator
-
Get the name of the method.
- getName() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
-
Get the name of the method.
- getName() - Method in exception class org.apache.commons.math3.ode.UnknownParameterException
- getName() - Method in enum org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType
-
Gets the name of the enum
- getNanPositions(NaturalRanking.IntDoublePair[]) - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Returns a list of indexes where
ranks
isNaN.
- getNaNPositions(double[]) - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
-
Returns a list containing the indices of NaN values in the input array.
- getNanStrategy() - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Return the NaNStrategy
- getNaNStrategy() - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Get the
NaN Handling
strategy used for computation. - getNbPoints() - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
-
Get the number of points to use.
- getNearestCluster(Collection<CentroidCluster<T>>, T) - Method in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
-
Returns the nearest
Cluster
to the given point - getNearestCluster(Collection<Cluster<T>>, T) - Static method in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
-
Deprecated.Returns the nearest
Cluster
to the given point - getNeighbors(T, Collection<T>) - Method in class org.apache.commons.math3.ml.clustering.DBSCANClusterer
-
Returns a list of density-reachable neighbors of a
point
. - getNeighbors(T, Collection<T>) - Method in class org.apache.commons.math3.stat.clustering.DBSCANClusterer
-
Deprecated.Returns a list of density-reachable neighbors of a
point
. - getNeighbours(Iterable<Neuron>) - Method in class org.apache.commons.math3.ml.neuralnet.Network
-
Retrieves the neurons in the neighbourhood of any neuron in the
neurons
list. - getNeighbours(Iterable<Neuron>, Iterable<Neuron>) - Method in class org.apache.commons.math3.ml.neuralnet.Network
-
Retrieves the neurons in the neighbourhood of any neuron in the
neurons
list. - getNeighbours(Neuron) - Method in class org.apache.commons.math3.ml.neuralnet.Network
-
Retrieves the neighbours of the given neuron.
- getNeighbours(Neuron, Iterable<Neuron>) - Method in class org.apache.commons.math3.ml.neuralnet.Network
-
Retrieves the neighbours of the given neuron.
- getNetwork() - Method in class org.apache.commons.math3.ml.neuralnet.oned.NeuronString
-
Retrieves the underlying network.
- getNetwork() - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
-
Retrieves the underlying network.
- getNeuron() - Method in class org.apache.commons.math3.ml.neuralnet.MapUtils.PairNeuronDouble
- getNeuron(int, int) - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
-
Retrieves the neuron at location
(i, j)
in the map. - getNeuron(int, int, NeuronSquareMesh2D.HorizontalDirection, NeuronSquareMesh2D.VerticalDirection) - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
-
Retrieves the neuron at
(location[0], location[1])
in the map. - getNeuron(long) - Method in class org.apache.commons.math3.ml.neuralnet.Network
-
Retrieves the neuron with the given (unique)
id
. - getNeurons(Comparator<Neuron>) - Method in class org.apache.commons.math3.ml.neuralnet.Network
-
Creates a list of the neurons, sorted in a custom order.
- getNewtonCoefficients() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
-
Returns a copy of coefficients in Newton form formula.
- getNext() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.ConnectableSegment
-
Get the next segment.
- getNext() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Deprecated.Get the node containing the next larger or equal element.
- getNext() - Method in class org.apache.commons.math3.random.ValueServer
-
Returns the next generated value, generated according to the mode value (see MODE constants).
- getNextDigest() - Method in class org.apache.commons.math3.random.ValueServer
-
Gets a random value in DIGEST_MODE.
- getNextExponential() - Method in class org.apache.commons.math3.random.ValueServer
-
Gets an exponentially distributed random value with mean = mu.
- getNextGaussian() - Method in class org.apache.commons.math3.random.ValueServer
-
Gets a Gaussian distributed random value with mean = mu and standard deviation = sigma.
- getNextIndex() - Method in class org.apache.commons.math3.random.HaltonSequenceGenerator
-
Returns the index i of the next point in the Halton sequence that will be returned by calling
HaltonSequenceGenerator.nextVector()
. - getNextIndex() - Method in class org.apache.commons.math3.random.SobolSequenceGenerator
-
Returns the index i of the next point in the Sobol sequence that will be returned by calling
SobolSequenceGenerator.nextVector()
. - getNextReplay() - Method in class org.apache.commons.math3.random.ValueServer
-
Gets next sequential value from the
valuesFileURL
. - getNextUniform() - Method in class org.apache.commons.math3.random.ValueServer
-
Gets a uniformly distributed random value with mean = mu.
- getNextValue() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Generates a random value from this distribution.
- getNode() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.ConnectableSegment
-
Get the node containing segment.
- getNode() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Edge
-
Get the node whose cut hyperplane contains this edge.
- getNorm() - Method in class org.apache.commons.math3.complex.Quaternion
-
Computes the norm of the quaternion.
- getNorm() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Get the L2 norm for the vector.
- getNorm() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Get the L2 norm for the vector.
- getNorm() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Get the L2 norm for the vector.
- getNorm() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Get the L2 norm for the vector.
- getNorm() - Method in interface org.apache.commons.math3.geometry.Vector
-
Get the L2 norm for the vector.
- getNorm() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns the maximum absolute row sum norm of the matrix.
- getNorm() - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Returns the L2 norm of the vector.
- getNorm() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Returns the maximum absolute row sum norm of the matrix.
- getNorm() - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Returns the maximum absolute row sum norm of the matrix.
- getNorm() - Method in class org.apache.commons.math3.linear.RealVector
-
Returns the L2 norm of the vector.
- getNorm() - Method in class org.apache.commons.math3.linear.SchurTransformer
-
Computes the L1 norm of the (quasi-)triangular matrix T.
- getNorm() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Returns the L2 norm of the matrix.
- getNorm1() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Get the L1 norm for the vector.
- getNorm1() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Get the L1 norm for the vector.
- getNorm1() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Get the L1 norm for the vector.
- getNorm1() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Get the L1 norm for the vector.
- getNorm1() - Method in interface org.apache.commons.math3.geometry.Vector
-
Get the L1 norm for the vector.
- getNormal() - Method in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere.Facet
-
Return a reference to the vector normal to this facet.
- getNormal() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Get the normalized normal vector.
- getNormalApproximationInterval(int, int, double) - Static method in class org.apache.commons.math3.stat.interval.IntervalUtils
-
Create a binomial confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level using the Normal approximation to the binomial distribution.
- getNormInf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Get the L∞ norm for the vector.
- getNormInf() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Get the L∞ norm for the vector.
- getNormInf() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Get the L∞ norm for the vector.
- getNormInf() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Get the L∞ norm for the vector.
- getNormInf() - Method in interface org.apache.commons.math3.geometry.Vector
-
Get the L∞ norm for the vector.
- getNormOfResidual() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
-
Returns the norm of the residual.
- getNormOfResidual() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
-
Returns the norm of the residual.
- getNormOfResidual() - Method in class org.apache.commons.math3.linear.SymmLQ.State
-
Returns the norm of the updated, preconditioned residual.
- getNormSq() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Get the square of the norm for the vector.
- getNormSq() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Get the square of the norm for the vector.
- getNormSq() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Get the square of the norm for the vector.
- getNormSq() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Get the square of the norm for the vector.
- getNormSq() - Method in interface org.apache.commons.math3.geometry.Vector
-
Get the square of the norm for the vector.
- getNotLarger(T) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
-
Deprecated.Get the node whose element is not larger than the reference object.
- getNotSmaller(T) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
-
Deprecated.Get the node whose element is not smaller than the reference object.
- getNSteps() - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator
-
Get the number of steps of the multistep method (excluding the one being computed).
- getNSteps() - Method in class org.apache.commons.math3.ode.MultistepIntegrator
-
Get the number of steps of the multistep method (excluding the one being computed).
- getNSteps() - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
-
Deprecated.as of 3.6, this method is not used anymore
- getNumArtificialVariables() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get the number of artificial variables.
- getNumArtificialVariables() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Get the number of artificial variables.
- getNumberOfAttemptedUpdates() - Method in class org.apache.commons.math3.ml.neuralnet.Neuron
-
Retrieves the number of calls to the
compareAndSetFeatures
method. - getNumberOfCalls() - Method in class org.apache.commons.math3.ml.neuralnet.sofm.KohonenUpdateAction
-
Retrieves the number of calls to the
update
method. - getNumberOfColumns() - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
-
Gets the number of neurons in each column of this map.
- getNumberOfElements() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
-
Get the number of elements (e.g.
- getNumberOfEquations() - Method in class org.apache.commons.math3.ode.FieldEquationsMapper
-
Get the number of equations mapped.
- getNumberOfParameters() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
-
Returns the number of parameters estimated in the model.
- getNumberOfPoints() - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
- getNumberOfRoots() - Method in class org.apache.commons.math3.complex.RootsOfUnity
-
Returns the number of roots of unity currently stored.
- getNumberOfRows() - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
-
Gets the number of neurons in each row of this map.
- getNumberOfSecondaryStates() - Method in class org.apache.commons.math3.ode.FieldODEState
-
Get the number of secondary states.
- getNumberOfSuccesses() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
Access the number of successes.
- getNumberOfSuccesses() - Method in class org.apache.commons.math3.distribution.PascalDistribution
-
Access the number of successes for this distribution.
- getNumberOfSuccessfulUpdates() - Method in class org.apache.commons.math3.ml.neuralnet.Neuron
-
Retrieves the number of successful calls to the
compareAndSetFeatures
method. - getNumberOfTrials() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
-
Access the number of trials for this distribution.
- getNumDecisionVariables() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get the number of decision variables.
- getNumDecisionVariables() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Get the number of decision variables.
- getNumElements() - Method in interface org.apache.commons.math3.util.DoubleArray
-
Returns the number of elements currently in the array.
- getNumElements() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Returns the number of elements currently in the array.
- getNumerator() - Method in class org.apache.commons.math3.fraction.BigFraction
-
Access the numerator as a
BigInteger
. - getNumerator() - Method in class org.apache.commons.math3.fraction.Fraction
-
Access the numerator.
- getNumeratorAsInt() - Method in class org.apache.commons.math3.fraction.BigFraction
-
Access the numerator as a
int
. - getNumeratorAsLong() - Method in class org.apache.commons.math3.fraction.BigFraction
-
Access the numerator as a
long
. - getNumeratorDegreesOfFreedom() - Method in class org.apache.commons.math3.distribution.FDistribution
-
Access the numerator degrees of freedom.
- getNumeratorFormat() - Method in class org.apache.commons.math3.fraction.AbstractFormat
-
Access the numerator format.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.BetaDistribution
-
Use this method to get the numerical value of the mean of this distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
-
Use this method to get the numerical value of the mean of this distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
-
Use this method to get the numerical value of the mean of this distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Use this method to get the numerical value of the mean of this distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution
-
Use this method to get the numerical value of the mean of this distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
-
Use this method to get the numerical value of the mean of this distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
-
Use this method to get the numerical value of the mean of this distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
-
Use this method to get the numerical value of the mean of this distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.FDistribution
-
Use this method to get the numerical value of the mean of this distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.GammaDistribution
-
Use this method to get the numerical value of the mean of this distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.GeometricDistribution
-
Use this method to get the numerical value of the mean of this distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.GumbelDistribution
-
Use this method to get the numerical value of the mean of this distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
Use this method to get the numerical value of the mean of this distribution.
- getNumericalMean() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
-
Use this method to get the numerical value of the mean of this distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.LaplaceDistribution
-
Use this method to get the numerical value of the mean of this distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.LevyDistribution
-
Use this method to get the numerical value of the mean of this distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.LogisticDistribution
-
Use this method to get the numerical value of the mean of this distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
-
Use this method to get the numerical value of the mean of this distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.NakagamiDistribution
-
Use this method to get the numerical value of the mean of this distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.NormalDistribution
-
Use this method to get the numerical value of the mean of this distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
-
Use this method to get the numerical value of the mean of this distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.PascalDistribution
-
Use this method to get the numerical value of the mean of this distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
-
Use this method to get the numerical value of the mean of this distribution.
- getNumericalMean() - Method in interface org.apache.commons.math3.distribution.RealDistribution
-
Use this method to get the numerical value of the mean of this distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.TDistribution
-
Use this method to get the numerical value of the mean of this distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
-
Use this method to get the numerical value of the mean of this distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
-
Use this method to get the numerical value of the mean of this distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
-
Use this method to get the numerical value of the mean of this distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
-
Use this method to get the numerical value of the mean of this distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
-
Use this method to get the numerical value of the mean of this distribution.
- getNumericalMean() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Use this method to get the numerical value of the mean of this distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.BetaDistribution
-
Use this method to get the numerical value of the variance of this distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
-
Use this method to get the numerical value of the variance of this distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
-
Use this method to get the numerical value of the variance of this distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Use this method to get the numerical value of the variance of this distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution
-
Use this method to get the numerical value of the variance of this distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
-
Use this method to get the numerical value of the variance of this distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
-
Use this method to get the numerical value of the variance of this distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
-
Use this method to get the numerical value of the variance of this distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.FDistribution
-
Use this method to get the numerical value of the variance of this distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.GammaDistribution
-
Use this method to get the numerical value of the variance of this distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.GeometricDistribution
-
Use this method to get the numerical value of the variance of this distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.GumbelDistribution
-
Use this method to get the numerical value of the variance of this distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
Use this method to get the numerical value of the variance of this distribution.
- getNumericalVariance() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
-
Use this method to get the numerical value of the variance of this distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.LaplaceDistribution
-
Use this method to get the numerical value of the variance of this distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.LevyDistribution
-
Use this method to get the numerical value of the variance of this distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.LogisticDistribution
-
Use this method to get the numerical value of the variance of this distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
-
Use this method to get the numerical value of the variance of this distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.NakagamiDistribution
-
Use this method to get the numerical value of the variance of this distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.NormalDistribution
-
Use this method to get the numerical value of the variance of this distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
-
Use this method to get the numerical value of the variance of this distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.PascalDistribution
-
Use this method to get the numerical value of the variance of this distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
-
Use this method to get the numerical value of the variance of this distribution.
- getNumericalVariance() - Method in interface org.apache.commons.math3.distribution.RealDistribution
-
Use this method to get the numerical value of the variance of this distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.TDistribution
-
Use this method to get the numerical value of the variance of this distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
-
Use this method to get the numerical value of the variance of this distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
-
Use this method to get the numerical value of the variance of this distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
-
Use this method to get the numerical value of the variance of this distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
-
Use this method to get the numerical value of the variance of this distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
-
Use this method to get the numerical value of the variance of this distribution.
- getNumericalVariance() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Use this method to get the numerical value of the variance of this distribution.
- getNumGenerations() - Method in class org.apache.commons.math3.genetics.FixedGenerationCount
-
Returns the number of generations that have already passed.
- getNumObjectiveFunctions() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get the number of objective functions in this tableau.
- getNumObjectiveFunctions() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Get the number of objective functions in this tableau.
- getNumSlackVariables() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get the number of slack variables.
- getNumSlackVariables() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Get the number of slack variables.
- getNumTrials() - Method in class org.apache.commons.math3.ml.clustering.MultiKMeansPlusPlusClusterer
-
Returns the number of trials this instance will do.
- getnVals() - Method in class org.apache.commons.math3.special.BesselJ.BesselJResult
- getObjectiveFunction() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunction
-
Gets the function to be optimized.
- getObjectiveFunction() - Method in class org.apache.commons.math3.optim.univariate.UnivariateObjectiveFunction
-
Gets the function to be optimized.
- getObjectiveFunction() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.Gets the objective vector function.
- getObjectiveFunctionGradient() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunctionGradient
-
Gets the gradient of the function to be optimized.
- getObjectiveFunctionValue() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
-
Get the value of the objective function.
- getObservations() - Method in class org.apache.commons.math3.fitting.CurveFitter
-
Deprecated.Get the observed points.
- getObservations() - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
-
Deprecated.Get the observed points.
- getObservationSize() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter
-
Get the number of observations (rows in the Jacobian) in this problem.
- getObservationSize() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory.LocalLeastSquaresProblem
-
Get the number of observations (rows in the Jacobian) in this problem.
- getObservationSize() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem
-
Get the number of observations (rows in the Jacobian) in this problem.
- getOffset() - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryProjection
-
Offset of the point with respect to the boundary it is projected on.
- getOffset(Plane) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Get the offset (oriented distance) of a parallel plane.
- getOffset(Vector3D) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
-
Get the offset (oriented distance) of a direction.
- getOffset(Line) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Get the offset (oriented distance) of a parallel line.
- getOffset(Point<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
-
Get the offset (oriented distance) of a point.
- getOffset(Point<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Get the offset (oriented distance) of a point.
- getOffset(Point<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Get the offset (oriented distance) of a point.
- getOffset(Point<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
-
Get the offset (oriented distance) of a point.
- getOffset(Point<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
-
Get the offset (oriented distance) of a point.
- getOffset(Point<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
-
Get the offset (oriented distance) of a point.
- getOffset(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
-
Get the offset (oriented distance) of a vector.
- getOffset(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Get the offset (oriented distance) of a vector.
- getOffset(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Get the offset (oriented distance) of a vector.
- getOmegaInverse() - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
-
Get the inverse of the covariance.
- getOne() - Method in class org.apache.commons.math3.complex.ComplexField
-
Get the multiplicative identity of the field.
- getOne() - Method in class org.apache.commons.math3.dfp.Dfp
-
Get the constant 1.
- getOne() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant 1.
- getOne() - Method in interface org.apache.commons.math3.Field
-
Get the multiplicative identity of the field.
- getOne() - Method in class org.apache.commons.math3.fraction.BigFractionField
-
Get the multiplicative identity of the field.
- getOne() - Method in class org.apache.commons.math3.fraction.FractionField
-
Get the multiplicative identity of the field.
- getOne() - Method in class org.apache.commons.math3.util.BigRealField
-
Get the multiplicative identity of the field.
- getOne() - Method in class org.apache.commons.math3.util.Decimal64Field
-
Get the multiplicative identity of the field.
- getOptima() - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
-
Gets all the optima found during the last call to
optimize
. - getOptima() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer
-
Gets all the optima found during the last call to
optimize
. - getOptima() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer
-
Deprecated.Gets all the optima found during the last call to
optimize
. - getOptima() - Method in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
-
Gets all the optima found during the last call to
optimize
. - getOptima() - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
-
Deprecated.Get all the optima found during the last call to
optimize
. - getOptima() - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
-
Deprecated.Get all the optima found during the last call to
optimize
. - getOptima() - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
-
Deprecated.Get all the optima found during the last call to
optimize
. - getOptimizer() - Method in class org.apache.commons.math3.fitting.AbstractCurveFitter
-
Creates an optimizer set up to fit the appropriate curve.
- getOrder() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Get the derivation order.
- getOrder() - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Get the derivation order.
- getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldIntegrator
-
Get the order of the method.
- getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
-
Get the order of the method.
- getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator
-
Get the order of the method.
- getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
Get the order of the method.
- getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
-
Get the order of the method.
- getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Get the order of the method.
- getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54FieldIntegrator
-
Get the order of the method.
- getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
-
Get the order of the method.
- getOrderOfRegressors() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
Gets the order of the regressors, useful if some type of reordering has been called.
- getOrigin() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Get the line point closest to the origin.
- getOrigin() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Get the origin point of the plane frame.
- getOriginal() - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryProjection
-
Get the original point.
- getOriginalNumDecisionVariables() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get the original number of decision variables.
- getOriginalNumDecisionVariables() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Get the original number of decision variables.
- getOriginOffset() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Get the offset of the origin.
- getOrthoTolerance() - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
-
Gets the value of a tuning parameter.
- getOutgoing() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Vertex
-
Get outgoing edge.
- getOutgoing() - Method in class org.apache.commons.math3.geometry.spherical.twod.Vertex
-
Get outgoing edge.
- getOutline(PolyhedronsSet) - Method in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor
-
Extract the outline of a polyhedrons set.
- getOutsidePoints() - Method in class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
-
Gather some outside points.
- getOutsideSplitters() - Method in class org.apache.commons.math3.geometry.partitioning.Characterization
-
Get the nodes that were used to split the outside touching part.
- getP() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
-
Returns the P rows permutation matrix.
- getP() - Method in class org.apache.commons.math3.linear.HessenbergTransformer
-
Returns the matrix P of the transform.
- getP() - Method in class org.apache.commons.math3.linear.LUDecomposition
-
Returns the P rows permutation matrix.
- getP() - Method in class org.apache.commons.math3.linear.RRQRDecomposition
-
Returns the pivot matrix, P, used in the QR Decomposition of matrix A such that AP = QR.
- getP() - Method in class org.apache.commons.math3.linear.SchurTransformer
-
Returns the matrix P of the transform.
- getPairComparator() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer
- getPairComparator() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer
-
Deprecated.
- getParameter(String) - Method in interface org.apache.commons.math3.ode.ParameterizedODE
-
Get parameter value from its name.
- getParameter(String) - Method in class org.apache.commons.math3.ode.ParameterizedWrapper
-
Get parameter value from its name.
- getParameterEstimate(int) - Method in class org.apache.commons.math3.stat.regression.RegressionResults
-
Returns the parameter estimate for the regressor at the given index.
- getParameterEstimates() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
-
Returns a copy of the regression parameters estimates.
- getParameterName() - Method in class org.apache.commons.math3.ode.ParameterConfiguration
-
Get parameter name.
- getParameterRelativeTolerance() - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
-
Gets the value of a tuning parameter.
- getParameterSize() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter
-
Get the number of parameters (columns in the Jacobian) in this problem.
- getParameterSize() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory.LocalLeastSquaresProblem
-
Get the number of parameters (columns in the Jacobian) in this problem.
- getParameterSize() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem
-
Get the number of parameters (columns in the Jacobian) in this problem.
- getParametersNames() - Method in class org.apache.commons.math3.ode.AbstractParameterizable
-
Get the names of the supported parameters.
- getParametersNames() - Method in interface org.apache.commons.math3.ode.Parameterizable
-
Get the names of the supported parameters.
- getParametersNames() - Method in class org.apache.commons.math3.ode.ParameterizedWrapper
-
Get the names of the supported parameters.
- getParametersNames() - Method in class org.apache.commons.math3.ode.ParameterJacobianWrapper
-
Get the names of the supported parameters.
- getParent() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Get the parent node.
- getPartialCorrelations(int) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
In the original algorithm only the partial correlations of the regressors is returned to the user.
- getPartialDerivative(int...) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Get a partial derivative.
- getPartialDerivativeIndex(int...) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Get the index of a partial derivative in the array.
- getPartialDerivativeIndex(int, int, int[][], int...) - Static method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Get the index of a partial derivative in an array.
- getPartialDerivativeOrders(int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Get the derivation orders for a specific index in the array.
- getPct(char) - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the percentage of values that are equal to v (as a proportion between 0 and 1).
- getPct(int) - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the percentage of values that are equal to v (as a proportion between 0 and 1).
- getPct(long) - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the percentage of values that are equal to v (as a proportion between 0 and 1).
- getPct(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the percentage of values that are equal to v (as a proportion between 0 and 1).
- getPercentile(double) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns an estimate for the pth percentile of the stored values.
- getPercentileImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the currently configured percentile implementation.
- getPercentileValue() - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Markers
-
Returns the percentile computed thus far.
- getPercentileValue() - Method in interface org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.PSquareMarkers
-
Returns Percentile value computed thus far.
- getPhase(Vector3D) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
-
Get the phase angle of a direction.
- getPhi() - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
-
Get the polar (co-latitude) angle.
- getPhi() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
-
Get the polar angle \( \varphi \).
- getPi() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant π.
- getPiSplit() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant π split in two pieces.
- getPivot() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
-
Returns the pivot permutation vector.
- getPivot() - Method in class org.apache.commons.math3.linear.LUDecomposition
-
Returns the pivot permutation vector.
- getPivotColumn(SimplexTableau) - Method in class org.apache.commons.math3.optim.linear.SimplexSolver
-
Returns the column with the most negative coefficient in the objective function row.
- getPivotColumn(SimplexTableau) - Method in class org.apache.commons.math3.optimization.linear.SimplexSolver
-
Deprecated.Returns the column with the most negative coefficient in the objective function row.
- getPivotingStrategy() - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Get the
PivotingStrategyInterface
used in KthSelector for computation. - getPivotingStrategy() - Method in class org.apache.commons.math3.util.KthSelector
-
Get the pivotin strategy.
- getPivotRow(SimplexTableau, int) - Method in class org.apache.commons.math3.optim.linear.SimplexSolver
-
Returns the row with the minimum ratio as given by the minimum ratio test (MRT).
- getPivotRow(SimplexTableau, int) - Method in class org.apache.commons.math3.optimization.linear.SimplexSolver
-
Deprecated.Returns the row with the minimum ratio as given by the minimum ratio test (MRT).
- getPivots(double[]) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Get pivots which is either cached or a newly created one
- getPlus() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Get the tree on the plus side of the cut hyperplane.
- getPlus() - Method in class org.apache.commons.math3.geometry.partitioning.SubHyperplane.SplitSubHyperplane
-
Get the part of the sub-hyperplane on the plus side of the splitting hyperplane.
- getPlus() - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet.Split
-
Get the part of the arcs set on the plus side of the splitting arc.
- getPlusInside() - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryAttribute
-
Get the part of the node cut sub-hyperplane that belongs to the boundary and has the inside of the region on the plus side of its underlying hyperplane.
- getPlusOutside() - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryAttribute
-
Get the part of the node cut sub-hyperplane that belongs to the boundary and has the outside of the region on the plus side of its underlying hyperplane.
- getPmf() - Method in class org.apache.commons.math3.distribution.EnumeratedDistribution
-
Return the probability mass function as a list of invalid input: '<'value, probability> pairs.
- getPoint() - Method in class org.apache.commons.math3.fitting.leastsquares.DenseWeightedEvaluation
-
Get the abscissa (independent variables) of this evaluation.
- getPoint() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory.LocalLeastSquaresProblem.LazyUnweightedEvaluation
-
Get the abscissa (independent variables) of this evaluation.
- getPoint() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory.LocalLeastSquaresProblem.UnweightedEvaluation
-
Get the abscissa (independent variables) of this evaluation.
- getPoint() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation
-
Get the abscissa (independent variables) of this evaluation.
- getPoint() - Method in class org.apache.commons.math3.fitting.leastsquares.OptimumImpl
-
Get the abscissa (independent variables) of this evaluation.
- getPoint() - Method in interface org.apache.commons.math3.ml.clustering.Clusterable
-
Gets the n-dimensional point.
- getPoint() - Method in class org.apache.commons.math3.ml.clustering.DoublePoint
-
Gets the n-dimensional point.
- getPoint() - Method in class org.apache.commons.math3.optim.PointValuePair
-
Gets the point.
- getPoint() - Method in class org.apache.commons.math3.optim.PointVectorValuePair
-
Gets the point.
- getPoint() - Method in class org.apache.commons.math3.optim.univariate.UnivariatePointValuePair
-
Get the point.
- getPoint() - Method in class org.apache.commons.math3.optimization.PointValuePair
-
Deprecated.Gets the point.
- getPoint() - Method in class org.apache.commons.math3.optimization.PointVectorValuePair
-
Deprecated.Gets the point.
- getPoint() - Method in class org.apache.commons.math3.optimization.univariate.UnivariatePointValuePair
-
Deprecated.Get the point.
- getPoint() - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
-
Deprecated.Get the n-dimensional point in integer space.
- getPoint() - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
-
Deprecated.Get the n-dimensional point in integer space.
- getPoint(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
-
Gets the integration point at the given index.
- getPoint(int) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
Get the simplex point stored at the requested
index
. - getPoint(int) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.Get the simplex point stored at the requested
index
. - getPointAt(double) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
-
Get a circle point from its phase around the circle.
- getPointAt(double) - Method in class org.apache.commons.math3.geometry.spherical.twod.Edge
-
Get an intermediate point.
- getPointAt(Vector1D, double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Get one point from the plane.
- getPointAt(Vector2D, double) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Get one point from the 3D-space.
- getPointFromLargestNumberCluster(Collection<? extends Cluster<T>>) - Method in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
-
Get a random point from the
Cluster
with the largest number of points - getPointFromLargestNumberCluster(Collection<Cluster<T>>) - Method in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
-
Deprecated.Get a random point from the
Cluster
with the largest number of points - getPointFromLargestVarianceCluster(Collection<CentroidCluster<T>>) - Method in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
-
Get a random point from the
Cluster
with the largest distance variance. - getPointFromLargestVarianceCluster(Collection<Cluster<T>>) - Method in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
-
Deprecated.Get a random point from the
Cluster
with the largest distance variance. - getPointRef() - Method in class org.apache.commons.math3.optim.PointValuePair
-
Gets a reference to the point.
- getPointRef() - Method in class org.apache.commons.math3.optim.PointVectorValuePair
-
Gets a reference to the point.
- getPointRef() - Method in class org.apache.commons.math3.optimization.PointValuePair
-
Deprecated.Gets a reference to the point.
- getPointRef() - Method in class org.apache.commons.math3.optimization.PointVectorValuePair
-
Deprecated.Gets a reference to the point.
- getPoints() - Method in class org.apache.commons.math3.ml.clustering.Cluster
-
Get the points contained in the cluster.
- getPoints() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
Get the points of the simplex.
- getPoints() - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.Get the points of the simplex.
- getPoints() - Method in class org.apache.commons.math3.stat.clustering.Cluster
-
Deprecated.Get the points contained in the cluster.
- getPole() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
-
Get the pole of the circle.
- getPolynomials() - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
-
Compute the interpolation polynomials.
- getPolynomials() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
-
Get a copy of the interpolating polynomials array.
- getPopulationLimit() - Method in class org.apache.commons.math3.genetics.ListPopulation
-
Access the maximum population size.
- getPopulationLimit() - Method in interface org.apache.commons.math3.genetics.Population
-
Access the maximum population size.
- getPopulationSize() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
Access the population size.
- getPopulationSize() - Method in class org.apache.commons.math3.genetics.ListPopulation
-
Access the current population size.
- getPopulationSize() - Method in interface org.apache.commons.math3.genetics.Population
-
Access the current population size.
- getPopulationSize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.PopulationSize
- getPopulationSize() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.PopulationSize
-
Deprecated.
- getPopulationVariance() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the population variance of the available values.
- getPopulationVariance() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the population variance of the values that have been added.
- getPopulationVariance() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the population variance of the values that have been added.
- getPosition() - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking.IntDoublePair
-
Returns the original position of the pair.
- getPositivePolarForm() - Method in class org.apache.commons.math3.complex.Quaternion
-
Returns the polar form of the quaternion.
- getPrefix() - Method in class org.apache.commons.math3.geometry.VectorFormat
-
Get the format prefix.
- getPrefix() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
-
Get the format prefix.
- getPrefix() - Method in class org.apache.commons.math3.linear.RealVectorFormat
-
Get the format prefix.
- getPrevious() - Method in exception class org.apache.commons.math3.exception.NonMonotonicSequenceException
- getPrevious() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.ConnectableSegment
-
Get the previous segment.
- getPrevious() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Deprecated.Get the node containing the next smaller or equal element.
- getPreviousState() - Method in class org.apache.commons.math3.ode.sampling.AbstractFieldStepInterpolator
-
Get the state at previous grid point time.
- getPreviousState() - Method in interface org.apache.commons.math3.ode.sampling.FieldStepInterpolator
-
Get the state at previous grid point time.
- getPreviousTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Get the previous soft grid point time.
- getPreviousTime() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
-
Get the previous grid point time.
- getPrimary() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Get the primary set of differential equations.
- getPrimaryMapper() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Get an equations mapper for the primary equations set.
- getPrimaryState() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Get primary part of the current state.
- getPrimaryStateDot() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Get primary part of the current state derivative.
- getProbabilityOfSuccess() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
-
Access the probability of success for this distribution.
- getProbabilityOfSuccess() - Method in class org.apache.commons.math3.distribution.GeometricDistribution
-
Access the probability of success for this distribution.
- getProbabilityOfSuccess() - Method in class org.apache.commons.math3.distribution.PascalDistribution
-
Access the probability of success for this distribution.
- getProblem(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math3.fitting.AbstractCurveFitter
-
Creates a least squares problem corresponding to the appropriate curve.
- getProblem(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math3.fitting.GaussianCurveFitter
-
Creates a least squares problem corresponding to the appropriate curve.
- getProblem(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math3.fitting.HarmonicCurveFitter
-
Creates a least squares problem corresponding to the appropriate curve.
- getProblem(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math3.fitting.PolynomialCurveFitter
-
Creates a least squares problem corresponding to the appropriate curve.
- getProblem(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math3.fitting.SimpleCurveFitter
-
Creates a least squares problem corresponding to the appropriate curve.
- getProcessNoise() - Method in class org.apache.commons.math3.filter.DefaultProcessModel
-
Returns the process noise matrix.
- getProcessNoise() - Method in interface org.apache.commons.math3.filter.ProcessModel
-
Returns the process noise matrix.
- getProjected() - Method in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor.BoundaryProjector
-
Get the projection of the polyhedrons set on the plane.
- getProjected() - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryProjection
-
Projected point.
- getProjection() - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryProjector
-
Get the projection.
- getProperInstance() - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
-
Returns the default complex format for the current locale.
- getProperInstance() - Static method in class org.apache.commons.math3.fraction.FractionFormat
-
Returns the default complex format for the current locale.
- getProperInstance(Locale) - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
-
Returns the default complex format for the given locale.
- getProperInstance(Locale) - Static method in class org.apache.commons.math3.fraction.FractionFormat
-
Returns the default complex format for the given locale.
- getPT() - Method in class org.apache.commons.math3.linear.HessenbergTransformer
-
Returns the transpose of the matrix P of the transform.
- getPT() - Method in class org.apache.commons.math3.linear.SchurTransformer
-
Returns the transpose of the matrix P of the transform.
- getQ() - Method in class org.apache.commons.math3.linear.QRDecomposition
-
Returns the matrix Q of the decomposition.
- getQ() - Method in class org.apache.commons.math3.linear.TriDiagonalTransformer
-
Returns the matrix Q of the transform.
- getQ0() - Method in class org.apache.commons.math3.complex.Quaternion
-
Gets the first component of the quaternion (scalar part).
- getQ0() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Get the scalar coordinate of the quaternion.
- getQ0() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Get the scalar coordinate of the quaternion.
- getQ1() - Method in class org.apache.commons.math3.complex.Quaternion
-
Gets the second component of the quaternion (first component of the vector part).
- getQ1() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Get the first coordinate of the vectorial part of the quaternion.
- getQ1() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Get the first coordinate of the vectorial part of the quaternion.
- getQ2() - Method in class org.apache.commons.math3.complex.Quaternion
-
Gets the third component of the quaternion (second component of the vector part).
- getQ2() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Get the second coordinate of the vectorial part of the quaternion.
- getQ2() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Get the second coordinate of the vectorial part of the quaternion.
- getQ3() - Method in class org.apache.commons.math3.complex.Quaternion
-
Gets the fourth component of the quaternion (third component of the vector part).
- getQ3() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Get the third coordinate of the vectorial part of the quaternion.
- getQ3() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Get the third coordinate of the vectorial part of the quaternion.
- getQT() - Method in class org.apache.commons.math3.linear.QRDecomposition
-
Returns the transpose of the matrix Q of the decomposition.
- getQT() - Method in class org.apache.commons.math3.linear.TriDiagonalTransformer
-
Returns the transpose of the matrix Q of the transform.
- getQuadraticMean() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the quadratic mean, a.k.a.
- getQuadraticMean() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the quadratic mean, a.k.a.
- getQuadraticMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
-
Returns the quadratic mean, a.k.a.
- getQuadraticMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the quadratic mean, a.k.a.
- getQuantile() - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Returns the value of the quantile field (determines what percentile is computed when evaluate() is called with no quantile argument).
- getR() - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
-
Get the radius.
- getR() - Method in class org.apache.commons.math3.linear.QRDecomposition
-
Returns the matrix R of the decomposition.
- getR() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Returns Pearson's product moment correlation coefficient, usually denoted r.
- getRadius() - Method in class org.apache.commons.math3.geometry.enclosing.EnclosingBall
-
Get the radius of the ball.
- getRadixDigits() - Method in class org.apache.commons.math3.dfp.Dfp
-
Get the number of radix digits of the instance.
- getRadixDigits() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the number of radix digits of the
Dfp
instances built by this factory. - getRandomGenerator() - Static method in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
Returns the (static) random generator.
- getRandomGenerator() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
-
Returns the random generator this instance will use.
- getRandomGenerator() - Method in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
-
Returns the random generator this instance will use.
- getRandomGenerator() - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Returns the RandomGenerator used to generate non-secure random data.
- getRank() - Method in class org.apache.commons.math3.linear.RectangularCholeskyDecomposition
-
Get the rank of the symmetric positive semidefinite matrix.
- getRank() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Return the effective numerical matrix rank.
- getRank() - Method in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
-
Get the rank of the covariance matrix.
- getRank(double) - Method in class org.apache.commons.math3.linear.RRQRDecomposition
-
Return the effective numerical matrix rank.
- getRankCorrelation() - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
-
Returns a
PearsonsCorrelation
instance constructed from the ranked input data. - getRankingThreshold() - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
-
Gets the value of a tuning parameter.
- getRatio() - Method in class org.apache.commons.math3.genetics.UniformCrossover
-
Returns the mixing ratio used by this
CrossoverPolicy
. - getReal() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Get the real value of the number.
- getReal() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Get the real value of the number.
- getReal() - Method in class org.apache.commons.math3.complex.Complex
-
Access the real part.
- getReal() - Method in class org.apache.commons.math3.dfp.Dfp
-
Get the real value of the number.
- getReal() - Method in interface org.apache.commons.math3.RealFieldElement
-
Get the real value of the number.
- getReal() - Method in class org.apache.commons.math3.util.Decimal64
-
Get the real value of the number.
- getReal(int) - Method in class org.apache.commons.math3.complex.RootsOfUnity
-
Get the real part of the
k
-thn
-th root of unity. - getRealEigenvalue(int) - Method in class org.apache.commons.math3.linear.EigenDecomposition
-
Returns the real part of the ith eigenvalue of the original matrix.
- getRealEigenvalues() - Method in class org.apache.commons.math3.linear.EigenDecomposition
-
Gets a copy of the real parts of the eigenvalues of the original matrix.
- getRealFormat() - Method in class org.apache.commons.math3.complex.ComplexFormat
-
Access the realFormat.
- getReducedFraction(int, int) - Static method in class org.apache.commons.math3.fraction.BigFraction
-
Creates a
BigFraction
instance with the 2 parts of a fraction Y/Z. - getReducedFraction(int, int) - Static method in class org.apache.commons.math3.fraction.Fraction
-
Creates a
Fraction
instance with the 2 parts of a fraction Y/Z. - getRegressionSumSquares() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
-
Returns the sum of squared deviations of the predicted y values about their mean (which equals the mean of y).
- getRegressionSumSquares() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Returns the sum of squared deviations of the predicted y values about their mean (which equals the mean of y).
- getRegressionSumSquares(double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Computes SSR from b1.
- getRelationship() - Method in class org.apache.commons.math3.optim.linear.LinearConstraint
-
Gets the relationship between left and right hand sides.
- getRelationship() - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
-
Deprecated.Get the relationship between left and right hand sides.
- getRelativeAccuracy() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Get the relative accuracy.
- getRelativeAccuracy() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
-
Get the relative accuracy.
- getRelativeAccuracy() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Get the relative accuracy of the solver.
- getRelativeAccuracy() - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
-
Get the relative accuracy of the solver.
- getRelativeAccuracy() - Method in interface org.apache.commons.math3.analysis.solvers.BracketedRealFieldUnivariateSolver
-
Get the relative accuracy of the solver.
- getRelativeAccuracy() - Method in class org.apache.commons.math3.analysis.solvers.FieldBracketingNthOrderBrentSolver
-
Get the relative accuracy.
- getRelativeAccuracy() - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
-
Deprecated.Get the relative accuracy.
- getRelativeThreshold() - Method in class org.apache.commons.math3.optim.AbstractConvergenceChecker
- getRelativeThreshold() - Method in class org.apache.commons.math3.optimization.AbstractConvergenceChecker
-
Deprecated.
- getRemA() - Method in class org.apache.commons.math3.util.FastMath.CodyWaite
- getRemainingRegion() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
-
Get the remaining region of the hyperplane.
- getRemB() - Method in class org.apache.commons.math3.util.FastMath.CodyWaite
- getRepresentation() - Method in class org.apache.commons.math3.genetics.AbstractListChromosome
-
Returns the (immutable) inner representation of the chromosome.
- getResidual() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
-
Returns the residual.
- getResidual() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
-
Returns the residual.
- getResiduals() - Method in class org.apache.commons.math3.fitting.leastsquares.DenseWeightedEvaluation
-
Get the weighted residuals.
- getResiduals() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory.LocalLeastSquaresProblem.LazyUnweightedEvaluation
-
Get the weighted residuals.
- getResiduals() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory.LocalLeastSquaresProblem.UnweightedEvaluation
-
Get the weighted residuals.
- getResiduals() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation
-
Get the weighted residuals.
- getResiduals() - Method in class org.apache.commons.math3.fitting.leastsquares.OptimumImpl
-
Get the weighted residuals.
- getResult() - Method in class org.apache.commons.math3.stat.correlation.StorelessBivariateCovariance
-
Return the current covariance estimate.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
-
Returns the current value of the Statistic.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
-
Returns the current value of the Statistic.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.FourthMoment
-
Returns the current value of the Statistic.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
-
Returns the current value of the Statistic.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
-
Returns the current value of the Statistic.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
-
Returns the current value of the Statistic.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
-
Returns the current value of the Statistic.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
-
Returns the value of the statistic based on the values that have been added.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Returns the current value of the Statistic.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.ThirdMoment
-
Returns the current value of the Statistic.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Returns the current value of the Statistic.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
-
Get the covariance matrix.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
-
Get the mean vector.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
-
Returns the current value of the Statistic.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
-
Returns the current value of the Statistic.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
-
Returns the current value of the Statistic.
- getResult() - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
-
Returns the current value of the Statistic.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
-
Returns the current value of the Statistic.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
-
Returns the current value of the Statistic.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
-
Returns the current value of the Statistic.
- getResult() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
-
Returns the current value of the Statistic.
- getResults(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Returns an array of the results of a statistic.
- getReverse() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Get the reverse of the instance.
- getReverse() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
-
Get the reverse of the instance.
- getReverse() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
-
Get the reverse of the instance.
- getRhsOffset() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get the offset of the right hand side.
- getRhsOffset() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Get the offset of the right hand side.
- getRightHandSideVector() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
-
Returns the current right-hand side of the linear system to be solved.
- getRightHandSideVector() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
-
Returns the current right-hand side of the linear system to be solved.
- getRMS() - Method in class org.apache.commons.math3.fitting.leastsquares.AbstractEvaluation
-
Get the normalized cost.
- getRMS() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation
-
Get the normalized cost.
- getRMS() - Method in class org.apache.commons.math3.fitting.leastsquares.OptimumImpl
-
Get the normalized cost.
- getRMS() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
-
Deprecated.Gets the root-mean-square (RMS) value.
- getRMS() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.Get the Root Mean Square value.
- getRootMatrix() - Method in class org.apache.commons.math3.linear.RectangularCholeskyDecomposition
-
Get the root of the covariance matrix.
- getRootMatrix() - Method in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
-
Get the root of the covariance matrix.
- getRoundingMode() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the current rounding mode.
- getRoundingMode() - Method in class org.apache.commons.math3.util.BigReal
-
Gets the rounding mode for division operations The default is
RoundingMode.HALF_UP
- getRow() - Method in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization.DataRow
-
Get a data row.
- getRow() - Method in exception class org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException
- getRow() - Method in exception class org.apache.commons.math3.linear.NonSymmetricMatrixException
- getRow() - Method in class org.apache.commons.math3.ml.neuralnet.twod.util.LocationFinder.Location
- getRow(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Get the entries in row number
row
as an array. - getRow(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Get the entries at the given row index.
- getRow(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Get the entries in row number
row
as an array. - getRow(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Get the entries at the given row index.
- getRow(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Get the entries in row number
row
as an array. - getRow(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Get the entries at the given row index.
- getRow(int) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get the row from the tableau.
- getRowDimension() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Returns the number of rows in the matrix.
- getRowDimension() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns the number of rows of this matrix.
- getRowDimension() - Method in interface org.apache.commons.math3.linear.AnyMatrix
-
Returns the number of rows in the matrix.
- getRowDimension() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Returns the number of rows in the matrix.
- getRowDimension() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Returns the number of rows of this matrix.
- getRowDimension() - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Returns the number of rows in the matrix.
- getRowDimension() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Returns the number of rows of this matrix.
- getRowDimension() - Method in class org.apache.commons.math3.linear.DiagonalMatrix
-
Returns the number of rows of this matrix.
- getRowDimension() - Method in class org.apache.commons.math3.linear.JacobiPreconditioner
-
Returns the dimension of the codomain of this operator.
- getRowDimension() - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Returns the number of rows of this matrix.
- getRowDimension() - Method in class org.apache.commons.math3.linear.RealLinearOperator
-
Returns the dimension of the codomain of this operator.
- getRowDimension() - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
-
Returns the number of rows in the matrix.
- getRowMatrix(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Get the entries in row number
row
as a row matrix. - getRowMatrix(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Get the entries at the given row index as a row matrix.
- getRowMatrix(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Get the entries in row number
row
as a row matrix. - getRowMatrix(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Get the entries at the given row index as a row matrix.
- getRowMatrix(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Get the entries in row number
row
as a row matrix. - getRowMatrix(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Get the entries at the given row index as a row matrix.
- getRowPrefix() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
-
Get the format prefix.
- getRowSeparator() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
-
Get the format separator between rows of the matrix.
- getRowSuffix() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
-
Get the format suffix.
- getRowVector(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Get the entries in row number
row
as a vector. - getRowVector(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns the entries in row number
row
as a vector. - getRowVector(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Get the entries in row number
row
as a vector. - getRowVector(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Returns the entries in row number
row
as a vector. - getRowVector(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Get the entries in row number
row
as a vector. - getRowVector(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Returns the entries in row number
row
as a vector. - getRSquare() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Returns the coefficient of determination, usually denoted r-square.
- getRSquared() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
-
Returns the coefficient of multiple determination, usually denoted r-square.
- getRule(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
-
Gets a copy of the quadrature rule with the given number of integration points.
- getRule(BaseRuleFactory<? extends Number>, int) - Static method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
- getRuleInternal(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
-
Gets a rule.
- getRuntimeClass() - Method in class org.apache.commons.math3.complex.ComplexField
-
Returns the runtime class of the FieldElement.
- getRuntimeClass() - Method in class org.apache.commons.math3.dfp.DfpField
-
Returns the runtime class of the FieldElement.
- getRuntimeClass() - Method in interface org.apache.commons.math3.Field
-
Returns the runtime class of the FieldElement.
- getRuntimeClass() - Method in class org.apache.commons.math3.fraction.BigFractionField
-
Returns the runtime class of the FieldElement.
- getRuntimeClass() - Method in class org.apache.commons.math3.fraction.FractionField
-
Returns the runtime class of the FieldElement.
- getRuntimeClass() - Method in class org.apache.commons.math3.util.BigRealField
-
Returns the runtime class of the FieldElement.
- getRuntimeClass() - Method in class org.apache.commons.math3.util.Decimal64Field
-
Returns the runtime class of the FieldElement.
- getS() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Returns the diagonal matrix Σ of the decomposition.
- getSafety() - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator
-
Get the safety factor for stepsize control.
- getSafety() - Method in class org.apache.commons.math3.ode.MultistepIntegrator
-
Get the safety factor for stepsize control.
- getSafety() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
-
Get the safety factor for stepsize control.
- getSafety() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Get the safety factor for stepsize control.
- getSampleSize() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
Access the sample size.
- getSampleStats() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Returns a
StatisticalSummary
describing this distribution. - getScalarPart() - Method in class org.apache.commons.math3.complex.Quaternion
-
Gets the scalar part of the quaternion.
- getScale() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
-
Access the scale parameter.
- getScale() - Method in class org.apache.commons.math3.distribution.GammaDistribution
-
Returns the scale parameter of
this
distribution. - getScale() - Method in class org.apache.commons.math3.distribution.GumbelDistribution
-
Access the scale parameter,
beta
. - getScale() - Method in class org.apache.commons.math3.distribution.LaplaceDistribution
-
Access the scale parameter,
beta
. - getScale() - Method in class org.apache.commons.math3.distribution.LevyDistribution
-
Get the scale parameter of the distribution.
- getScale() - Method in class org.apache.commons.math3.distribution.LogisticDistribution
-
Access the scale parameter,
s
. - getScale() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
-
Returns the scale parameter of this distribution.
- getScale() - Method in class org.apache.commons.math3.distribution.NakagamiDistribution
-
Access the scale parameter,
omega
. - getScale() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
-
Returns the scale parameter of this distribution.
- getScale() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
-
Access the scale parameter,
beta
. - getScale() - Method in class org.apache.commons.math3.util.BigReal
-
Sets the scale for division operations.
- getSecond() - Method in class org.apache.commons.math3.genetics.ChromosomePair
-
Access the second chromosome.
- getSecond() - Method in class org.apache.commons.math3.util.Pair
-
Get the second element of the pair.
- getSecondaryDerivative(int) - Method in class org.apache.commons.math3.ode.FieldODEStateAndDerivative
-
Get derivative of the secondary state at time.
- getSecondaryDiagonalRef() - Method in class org.apache.commons.math3.linear.BiDiagonalTransformer
-
Get the secondary diagonal elements of the matrix B of the transform.
- getSecondaryDiagonalRef() - Method in class org.apache.commons.math3.linear.TriDiagonalTransformer
-
Get the secondary diagonal elements of the matrix T of the transform.
- getSecondaryMappers() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Get the equations mappers for the secondary equations sets.
- getSecondaryState(int) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Get secondary part of the current state.
- getSecondaryState(int) - Method in class org.apache.commons.math3.ode.FieldODEState
-
Get secondary state at time.
- getSecondaryStateDimension(int) - Method in class org.apache.commons.math3.ode.FieldODEState
-
Get secondary state dimension.
- getSecondaryStateDot(int) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Get secondary part of the current state derivative.
- getSecondMoment() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Returns a statistic related to the Second Central Moment.
- getSecondMoment() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns a statistic related to the Second Central Moment.
- getSecRan() - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Returns the SecureRandom used to generate secure random data.
- getSegments() - Method in class org.apache.commons.math3.geometry.euclidean.threed.SubLine
-
Get the endpoints of the sub-line.
- getSegments() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.SegmentsBuilder
-
Get the segments.
- getSegments() - Method in class org.apache.commons.math3.geometry.euclidean.twod.SubLine
-
Get the endpoints of the sub-line.
- getSelectionPolicy() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
Returns the selection policy.
- getSeparator() - Method in class org.apache.commons.math3.geometry.VectorFormat
-
Get the format separator between components.
- getSeparator() - Method in class org.apache.commons.math3.linear.RealVectorFormat
-
Get the format separator between components.
- getShape() - Method in class org.apache.commons.math3.distribution.GammaDistribution
-
Returns the shape parameter of
this
distribution. - getShape() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
-
Returns the shape parameter of this distribution.
- getShape() - Method in class org.apache.commons.math3.distribution.NakagamiDistribution
-
Access the shape parameter,
mu
. - getShape() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
-
Returns the shape parameter of this distribution.
- getShape() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
-
Access the shape parameter,
alpha
. - getSide() - Method in class org.apache.commons.math3.geometry.partitioning.SubHyperplane.SplitSubHyperplane
-
Get the side of the split sub-hyperplane with respect to its splitter.
- getSide() - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet.Split
-
Get the side of the split arc with respect to its splitter.
- getSigma() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.Sigma
- getSigma() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.Sigma
-
Deprecated.
- getSigma() - Method in class org.apache.commons.math3.random.ValueServer
-
Returns the standard deviation used when operating in
ValueServer.GAUSSIAN_MODE
. - getSigma(double) - Method in class org.apache.commons.math3.fitting.leastsquares.AbstractEvaluation
-
Get an estimate of the standard deviation of the parameters.
- getSigma(double) - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation
-
Get an estimate of the standard deviation of the parameters.
- getSigma(double) - Method in class org.apache.commons.math3.fitting.leastsquares.OptimumImpl
-
Get an estimate of the standard deviation of the parameters.
- getSignificance() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Returns the significance level of the slope (equiv) correlation.
- getSingularValues() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Returns the diagonal elements of the matrix Σ of the decomposition.
- getSize() - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Get the array size required for holding partial derivatives data.
- getSize() - Method in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere
-
Get the size of the sphere.
- getSize() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
-
Get the size of the interval.
- getSize() - Method in class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint
-
Get the size of the instance.
- getSize() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Get the size of the instance.
- getSize() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
-
Get the size of the instance.
- getSize() - Method in class org.apache.commons.math3.geometry.partitioning.BoundarySizeVisitor
-
Get the size of the boundary.
- getSize() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
-
Get the size of the instance.
- getSize() - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
-
Get the size of the instance.
- getSize() - Method in class org.apache.commons.math3.geometry.spherical.oned.Arc
-
Get the angular size of the arc.
- getSize() - Method in class org.apache.commons.math3.geometry.spherical.oned.SubLimitAngle
-
Get the size of the instance.
- getSize() - Method in class org.apache.commons.math3.ml.neuralnet.Neuron
-
Gets the length of the feature set.
- getSize() - Method in class org.apache.commons.math3.ml.neuralnet.oned.NeuronString
-
Gets the number of neurons.
- getSize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
Get simplex size.
- getSize() - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.Get simplex size.
- getSize() - Method in class org.apache.commons.math3.util.MultidimensionalCounter
-
Get the total number of elements.
- getSizes() - Method in class org.apache.commons.math3.util.MultidimensionalCounter
-
Get the number of multidimensional counter slots in each dimension.
- getSkewness() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the skewness of the available values.
- getSkewnessImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the currently configured skewness implementation.
- getSlackVariableOffset() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get the offset of the first slack variable.
- getSlackVariableOffset() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Get the offset of the first slack variable.
- getSlope() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Returns the slope of the estimated regression line.
- getSlopeConfidenceInterval() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Returns the half-width of a 95% confidence interval for the slope estimate.
- getSlopeConfidenceInterval(double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Returns the half-width of a (100-100*alpha)% confidence interval for the slope estimate.
- getSlopeStdErr() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Returns the standard error of the slope estimate, usually denoted s(b1).
- getSmallest() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
-
Deprecated.Get the node whose element is the smallest one in the tree.
- getSmallest() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Deprecated.Get the node whose element is the smallest one in the tree rooted at this node.
- getSolution() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
-
Returns the current estimate of the solution to the linear system to be solved.
- getSolution() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
-
Returns the current estimate of the solution to the linear system to be solved.
- getSolution() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get the current solution.
- getSolution() - Method in class org.apache.commons.math3.optim.linear.SolutionCallback
-
Retrieve the best solution found so far.
- getSolution() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Get the current solution.
- getSolver() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition
-
Get a solver for finding the A × X = B solution in least square sense.
- getSolver() - Method in class org.apache.commons.math3.linear.EigenDecomposition
-
Gets a solver for finding the A × X = B solution in exact linear sense.
- getSolver() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
-
Get a solver for finding the A × X = B solution in exact linear sense.
- getSolver() - Method in class org.apache.commons.math3.linear.LUDecomposition
-
Get a solver for finding the A × X = B solution in exact linear sense.
- getSolver() - Method in class org.apache.commons.math3.linear.QRDecomposition
-
Get a solver for finding the A × X = B solution in least square sense.
- getSolver() - Method in class org.apache.commons.math3.linear.RRQRDecomposition
-
Get a solver for finding the A × X = B solution in least square sense.
- getSolver() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Get a solver for finding the A × X = B solution in least square sense.
- getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.BetaDistribution
-
Return the absolute accuracy setting of the solver used to estimate inverse cumulative probabilities.
- getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.FDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.GammaDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.NakagamiDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.NormalDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.TDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
-
Returns the solver absolute accuracy for inverse cumulative computation.
- getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
-
Return the absolute accuracy setting of the solver used to estimate inverse cumulative probabilities.
- getSortedValues() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the current set of values in an array of double primitives, sorted in ascending order.
- getSourceString() - Method in class org.apache.commons.math3.exception.util.DummyLocalizable
-
Gets the source (non-localized) string.
- getSourceString() - Method in interface org.apache.commons.math3.exception.util.Localizable
-
Gets the source (non-localized) string.
- getSourceString() - Method in enum org.apache.commons.math3.exception.util.LocalizedFormats
-
Gets the source (non-localized) string.
- getSpace() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Get the space to which the point belongs.
- getSpace() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Get the space to which the point belongs.
- getSpace() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Get the space to which the point belongs.
- getSpace() - Method in interface org.apache.commons.math3.geometry.Point
-
Get the space to which the point belongs.
- getSpace() - Method in class org.apache.commons.math3.geometry.spherical.oned.S1Point
-
Get the space to which the point belongs.
- getSpace() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
-
Get the space to which the point belongs.
- getSparsity() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
- getSplitters() - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryAttribute
-
Get the sub-hyperplanes that were used to split the boundary part.
- getSqr2() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant √2.
- getSqr2Reciprocal() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant √2 / 2.
- getSqr2Split() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant √2 split in two pieces.
- getSqr3() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant √3.
- getSqr3Reciprocal() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant √3 / 3.
- getSquareRoot() - Method in class org.apache.commons.math3.linear.EigenDecomposition
-
Computes the square-root of the matrix.
- getStandardDeviation() - Method in class org.apache.commons.math3.distribution.NormalDistribution
-
Access the standard deviation.
- getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Returns the standard deviation of the available values.
- getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the standard deviation of the available values.
- getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Returns an array whose ith entry is the standard deviation of the ith entries of the arrays that have been added using
MultivariateSummaryStatistics.addValue(double[])
- getStandardDeviation() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
-
Returns an array whose ith entry is the standard deviation of the ith entries of the arrays that correspond to each multivariate sample
- getStandardDeviation() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
-
Returns the standard deviation of the available values.
- getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
- getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the standard deviation of the values that have been added.
- getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
-
Returns the standard deviation of the available values.
- getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Returns an array whose ith entry is the standard deviation of the ith entries of the arrays that have been added using
MultivariateSummaryStatistics.addValue(double[])
- getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the standard deviation of the values that have been added.
- getStandardDeviations() - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
-
Gets the square root of each element on the diagonal of the covariance matrix.
- getStart() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter
-
Gets the initial guess.
- getStart() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory.LocalLeastSquaresProblem
-
Gets the initial guess.
- getStart() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem
-
Gets the initial guess.
- getStart() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Segment
-
Get the start point of the segment.
- getStart() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Edge
-
Get start vertex.
- getStart() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Segment
-
Get the start point of the segment.
- getStart() - Method in class org.apache.commons.math3.geometry.spherical.twod.Edge
-
Get start vertex.
- getStarterIntegrator() - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator
-
Get the starter integrator.
- getStarterIntegrator() - Method in class org.apache.commons.math3.ode.MultistepIntegrator
-
Get the starter integrator.
- getStartIndex() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Returns the "start index" of the internal array.
- getStartNode() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.ConnectableSegment
-
Get the node whose intersection with current node defines start point.
- getStartPoint() - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
-
Gets the initial guess.
- getStartPoint() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.
- getStartPoint() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.Gets the initial values of the optimized parameters.
- getStartValue() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
- getStartValue() - Method in class org.apache.commons.math3.optim.univariate.SearchInterval
-
Gets the start value.
- getStartValue() - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
- getStartValue() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.
- getState() - Method in class org.apache.commons.math3.ode.FieldODEState
-
Get main state at time.
- getStateDimension() - Method in class org.apache.commons.math3.filter.KalmanFilter
-
Returns the dimension of the state estimation vector.
- getStateDimension() - Method in class org.apache.commons.math3.ode.FieldODEState
-
Get main state dimension.
- getStateEstimation() - Method in class org.apache.commons.math3.filter.KalmanFilter
-
Returns the current state estimation vector.
- getStateEstimationVector() - Method in class org.apache.commons.math3.filter.KalmanFilter
-
Returns a copy of the current state estimation vector.
- getStateTransitionMatrix() - Method in class org.apache.commons.math3.filter.DefaultProcessModel
-
Returns the state transition matrix.
- getStateTransitionMatrix() - Method in interface org.apache.commons.math3.filter.ProcessModel
-
Returns the state transition matrix.
- getStatisticsDHistory() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
- getStatisticsDHistory() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- getStatisticsFitnessHistory() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
- getStatisticsFitnessHistory() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- getStatisticsMeanHistory() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
- getStatisticsMeanHistory() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- getStatisticsSigmaHistory() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
- getStatisticsSigmaHistory() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- getStdErrorOfEstimate(int) - Method in class org.apache.commons.math3.stat.regression.RegressionResults
-
Returns the standard error of the parameter estimate at index, usually denoted s(bindex).
- getStdErrorOfEstimates() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
-
Returns the standard error of the parameter estimates, usually denoted s(bi).
- getStepHandlers() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Get all the step handlers that have been added to the integrator.
- getStepHandlers() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Get all the step handlers that have been added to the integrator.
- getStepHandlers() - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator
-
Get all the step handlers that have been added to the integrator.
- getStepHandlers() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
-
Get all the step handlers that have been added to the integrator.
- getStepSize() - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
-
Get the step size.
- getStepSize() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Get the current step size.
- getStepStart() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Getcurrent step start.
- getStirlingError(double) - Static method in class org.apache.commons.math3.distribution.SaddlePointExpansion
-
Compute the error of Stirling's series at the given value.
- getStrict() - Method in exception class org.apache.commons.math3.exception.NonMonotonicSequenceException
- getSubMatrix(int[], int[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Get a submatrix.
- getSubMatrix(int[], int[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Gets a submatrix.
- getSubMatrix(int[], int[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Get a submatrix.
- getSubMatrix(int[], int[]) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Gets a submatrix.
- getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Get a submatrix.
- getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Gets a submatrix.
- getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Get a submatrix.
- getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Gets a submatrix.
- getSubMatrix(int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Get a submatrix.
- getSubMatrix(int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Gets a submatrix.
- getSubSpace() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D
-
Get the n-1 dimension subspace of this space.
- getSubSpace() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D
-
Get the n-1 dimension subspace of this space.
- getSubSpace() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D
-
Get the n-1 dimension subspace of this space.
- getSubSpace() - Method in interface org.apache.commons.math3.geometry.Space
-
Get the n-1 dimension subspace of this space.
- getSubSpace() - Method in class org.apache.commons.math3.geometry.spherical.oned.Sphere1D
-
Get the n-1 dimension subspace of this space.
- getSubSpace() - Method in class org.apache.commons.math3.geometry.spherical.twod.Sphere2D
-
Get the n-1 dimension subspace of this space.
- getSubVector(int, int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Get a subvector from consecutive elements.
- getSubVector(int, int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Get a subvector from consecutive elements.
- getSubVector(int, int) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Get a subvector from consecutive elements.
- getSubVector(int, int) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Get a subvector from consecutive elements.
- getSubVector(int, int) - Method in class org.apache.commons.math3.linear.RealVector
-
Get a subvector from consecutive elements.
- getSubVector(int, int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Get a subvector from consecutive elements.
- getSuffix() - Method in class org.apache.commons.math3.geometry.VectorFormat
-
Get the format suffix.
- getSuffix() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
-
Get the format suffix.
- getSuffix() - Method in class org.apache.commons.math3.linear.RealVectorFormat
-
Get the format suffix.
- getSum() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Returns the sum of the values that have been added to Univariate.
- getSum() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the sum of the values that have been added to Univariate.
- getSum() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Returns an array whose ith entry is the sum of the ith entries of the arrays that have been added using
MultivariateSummaryStatistics.addValue(double[])
- getSum() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
-
Returns an array whose ith entry is the sum of the ith entries of the arrays that correspond to each multivariate sample
- getSum() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
-
Returns the sum of the values that have been added to Univariate.
- getSum() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
- getSum() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the sum of the values that have been added
- getSum() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Returns an array whose ith entry is the sum of the ith entries of the arrays that have been added using
MultivariateSummaryStatistics.addValue(double[])
- getSum() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the sum of the values that have been added
- getSumFreq() - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the sum of all frequencies.
- getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the currently configured sum implementation.
- getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Returns the currently configured Sum implementation
- getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the currently configured Sum implementation
- getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Returns the currently configured Sum implementation
- getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the currently configured Sum implementation
- getSumLog() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Returns an array whose ith entry is the sum of logs of the ith entries of the arrays that have been added using
MultivariateSummaryStatistics.addValue(double[])
- getSumLog() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
-
Returns an array whose ith entry is the sum of logs of the ith entries of the arrays that correspond to each multivariate sample
- getSumLog() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Returns an array whose ith entry is the sum of logs of the ith entries of the arrays that have been added using
MultivariateSummaryStatistics.addValue(double[])
- getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
-
Returns the currently configured sum of logs implementation
- getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Returns the currently configured sum of logs implementation
- getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the currently configured sum of logs implementation
- getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Returns the currently configured sum of logs implementation
- getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the currently configured sum of logs implementation
- getSummary() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Return a
StatisticalSummaryValues
instance reporting current aggregate statistics. - getSummary() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Return a
StatisticalSummaryValues
instance reporting current statistics. - getSummary() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Return a
StatisticalSummaryValues
instance reporting current statistics. - getSumOfCrossProducts() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Returns the sum of crossproducts, xi*yi.
- getSumOfLogs() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Returns the sum of the logs of all the aggregated data.
- getSumOfLogs() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the sum of the logs of the values that have been added.
- getSumsq() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Returns the sum of the squares of all the aggregated data.
- getSumsq() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the sum of the squares of the available values.
- getSumsq() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the sum of the squares of the values that have been added.
- getSumsq() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the sum of the squares of the values that have been added.
- getSumSq() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Returns an array whose ith entry is the sum of squares of the ith entries of the arrays that have been added using
MultivariateSummaryStatistics.addValue(double[])
- getSumSq() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
-
Returns an array whose ith entry is the sum of squares of the ith entries of the arrays that correspond to each multivariate sample
- getSumSq() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Returns an array whose ith entry is the sum of squares of the ith entries of the arrays that have been added using
MultivariateSummaryStatistics.addValue(double[])
- getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the currently configured sum of squares implementation.
- getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Returns the currently configured sum of squares implementation
- getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the currently configured sum of squares implementation
- getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Returns the currently configured sum of squares implementation
- getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the currently configured sum of squares implementation
- getSumSquaredErrors() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Returns the sum of squared errors (SSE) associated with the regression model.
- getSup() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
-
Get the upper bound of the interval.
- getSup() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Get the highest value belonging to the instance.
- getSup() - Method in class org.apache.commons.math3.geometry.spherical.oned.Arc
-
Get the upper angular bound of the arc.
- getSupport() - Method in class org.apache.commons.math3.geometry.enclosing.EnclosingBall
-
Get the support points used to define the ball.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.BetaDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.FDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.GammaDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.GeometricDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.GumbelDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.LaplaceDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.LevyDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.LogisticDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.NakagamiDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.NormalDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.PascalDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in interface org.apache.commons.math3.distribution.RealDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.TDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
-
Access the lower bound of the support.
- getSupportLowerBound() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Access the lower bound of the support.
- getSupportSize() - Method in class org.apache.commons.math3.geometry.enclosing.EnclosingBall
-
Get the number of support points used to define the ball.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.BetaDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.FDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.GammaDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.GeometricDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.GumbelDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.LaplaceDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.LevyDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.LogisticDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.NakagamiDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.NormalDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.PascalDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in interface org.apache.commons.math3.distribution.RealDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.TDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
-
Access the upper bound of the support.
- getSupportUpperBound() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Access the upper bound of the support.
- getT() - Method in class org.apache.commons.math3.linear.SchurTransformer
-
Returns the quasi-triangular Schur matrix T of the transform.
- getT() - Method in class org.apache.commons.math3.linear.TriDiagonalTransformer
-
Returns the tridiagonal matrix T of the transform.
- getTarget() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
-
Deprecated.Gets the observed values to be matched by the objective vector function.
- getTarget() - Method in class org.apache.commons.math3.optim.nonlinear.vector.Target
-
Deprecated.Gets the initial guess.
- getTarget() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.Gets the observed values to be matched by the objective vector function.
- getTarget() - Method in class org.apache.commons.math3.optimization.Target
-
Deprecated.Gets the initial guess.
- getTargetRef() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.As of 3.1.
- getTargetSize() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
-
Deprecated.Gets the number of observed values.
- getTheta() - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
-
Get the azimuthal angle in x-y plane.
- getTheta() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
-
Get the azimuthal angle \( \theta \) in the x-y plane.
- getThreshold() - Method in exception class org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException
- getThreshold() - Method in exception class org.apache.commons.math3.linear.NonSymmetricMatrixException
- getThrowable() - Method in class org.apache.commons.math3.exception.util.ExceptionContext
-
Get a reference to the exception to which the context relates.
- getTiesStrategy() - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Return the TiesStrategy
- getTime() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Get current time.
- getTime() - Method in class org.apache.commons.math3.ode.FieldODEState
-
Get time.
- getTolerance() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
-
Get the tolerance below which points are considered to belong to the hyperplane.
- getTolerance() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Get the tolerance below which points are considered identical.
- getTolerance() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Get the tolerance below which points are considered to belong to the hyperplane.
- getTolerance() - Method in class org.apache.commons.math3.geometry.euclidean.twod.hull.AbstractConvexHullGenerator2D
-
Get the tolerance below which points are considered identical.
- getTolerance() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Get the tolerance below which points are considered to belong to the hyperplane.
- getTolerance() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Get the tolerance below which points are considered to belong to hyperplanes.
- getTolerance() - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
-
Get the tolerance below which points are considered to belong to the hyperplane.
- getTolerance() - Method in class org.apache.commons.math3.geometry.spherical.oned.Arc
-
Get the tolerance below which angles are considered identical.
- getTolerance() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
-
Get the tolerance below which points are considered to belong to the hyperplane.
- getTolerance() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
-
Get the tolerance below which points are considered to belong to the hyperplane.
- getTotalDimension() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Return the dimension of the complete set of equations.
- getTotalDimension() - Method in class org.apache.commons.math3.ode.FieldEquationsMapper
-
Return the dimension of the complete set of equations.
- getTotalSumSquares() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
-
Returns the sum of squared deviations of the y values about their mean.
- getTotalSumSquares() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Returns the sum of squared deviations of the y values about their mean.
- getTrace() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Returns the trace of the matrix (the sum of the elements on the main diagonal).
- getTrace() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns the trace of the matrix (the sum of the elements on the main diagonal).
- getTrace() - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Returns the trace of the matrix (the sum of the elements on the main diagonal).
- getTrace() - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Returns the trace of the matrix (the sum of the elements on the main diagonal).
- getTransform(double, double, double, double, double, double) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Get a
Transform
embedding an affine transform. - getTransform(AffineTransform) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Deprecated.as of 3.6, replaced with
Line.getTransform(double, double, double, double, double, double)
- getTransform(Rotation) - Static method in class org.apache.commons.math3.geometry.spherical.twod.Circle
-
Get a
Transform
embedding a 3D rotation. - getTransformer(Class<?>) - Method in class org.apache.commons.math3.util.TransformerMap
-
Returns the Transformer that is mapped to a class if mapping is not present, this returns null.
- getTree(boolean) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Get the underlying BSP tree.
- getTree(boolean) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
-
Get the underlying BSP tree.
- getTriggeredIncreasing() - Method in enum org.apache.commons.math3.ode.events.FilterType
-
Get the increasing status of triggered events.
- getTwo() - Method in class org.apache.commons.math3.dfp.Dfp
-
Get the constant 2.
- getTwo() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant 2.
- getU() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Get the plane first canonical vector.
- getU() - Method in class org.apache.commons.math3.linear.BiDiagonalTransformer
-
Returns the matrix U of the transform.
- getU() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
-
Returns the matrix U of the decomposition.
- getU() - Method in class org.apache.commons.math3.linear.LUDecomposition
-
Returns the matrix U of the decomposition.
- getU() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Returns the matrix U of the decomposition.
- getUniqueCount() - Method in class org.apache.commons.math3.stat.Frequency
-
Returns the number of values in the frequency table.
- getUnprocessed(List<PolygonsSet.ConnectableSegment>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
-
Get first unprocessed segment from a list.
- getUpper() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
-
Deprecated.as of 3.1, replaced by
Interval.getSup()
- getUpper() - Method in class org.apache.commons.math3.optim.SimpleBounds
-
Gets the upper bounds.
- getUpper() - Method in class org.apache.commons.math3.optimization.SimpleBounds
-
Deprecated.Gets the lower bounds.
- getUpperBound() - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
- getUpperBound() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.
- getUpperBound() - Method in class org.apache.commons.math3.stat.interval.ConfidenceInterval
- getUpperBounds() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Returns a fresh copy of the array of upper bounds for the bins.
- getUpperDomain(int, int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
Return the highest domain value for the given hypergeometric distribution parameters.
- getUT() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Returns the transpose of the matrix U of the decomposition.
- getV() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Get the plane second canonical vector.
- getV() - Method in class org.apache.commons.math3.linear.BiDiagonalTransformer
-
Returns the matrix V of the transform.
- getV() - Method in class org.apache.commons.math3.linear.EigenDecomposition
-
Gets the matrix V of the decomposition.
- getV() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Returns the matrix V of the decomposition.
- getVals() - Method in class org.apache.commons.math3.special.BesselJ.BesselJResult
- getValue() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Get the value part of the derivative structure.
- getValue() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Get the value of the function.
- getValue() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapEntry
-
Get the value of the entry.
- getValue() - Method in class org.apache.commons.math3.linear.RealVector.Entry
-
Get the value of the entry.
- getValue() - Method in class org.apache.commons.math3.optim.linear.LinearConstraint
-
Gets the value of the constraint (right hand side).
- getValue() - Method in class org.apache.commons.math3.optim.PointVectorValuePair
-
Gets the value of the objective function.
- getValue() - Method in class org.apache.commons.math3.optim.univariate.UnivariatePointValuePair
-
Get the value of the objective function.
- getValue() - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
-
Deprecated.Get the value of the constraint (right hand side).
- getValue() - Method in class org.apache.commons.math3.optimization.PointVectorValuePair
-
Deprecated.Gets the value of the objective function.
- getValue() - Method in class org.apache.commons.math3.optimization.univariate.UnivariatePointValuePair
-
Deprecated.Get the value of the objective function.
- getValue() - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking.IntDoublePair
-
Returns the value of the pair.
- getValue() - Method in class org.apache.commons.math3.util.MathArrays.PairDoubleInteger
- getValue() - Method in class org.apache.commons.math3.util.Pair
-
Get the value.
- getValue(double[]) - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
-
Deprecated.Compute the value of the linear equation at the current point
- getValue(String) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
-
Gets the value associated to the given context key.
- getValue(RealVector) - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
-
Deprecated.Compute the value of the linear equation at the current point
- getValueRef() - Method in class org.apache.commons.math3.optim.PointVectorValuePair
-
Gets a reference to the value of the objective function.
- getValueRef() - Method in class org.apache.commons.math3.optimization.PointVectorValuePair
-
Deprecated.Gets a reference to the value of the objective function.
- getValues() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the current set of values in an array of double primitives.
- getValues() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
-
Returns the current set of values in an array of double primitives.
- getValuesFileURL() - Method in class org.apache.commons.math3.random.ValueServer
-
Returns the URL for the file used to build the empirical distribution when using
ValueServer.DIGEST_MODE
. - getVariance() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Returns the variance of the available values.
- getVariance() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the (sample) variance of the available values.
- getVariance() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
-
Returns the variance of the available values.
- getVariance() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
- getVariance() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the (sample) variance of the available values.
- getVariance() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the (sample) variance of the available values.
- getVarianceDirection() - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Returns the varianceDirection property.
- getVarianceImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the currently configured variance implementation.
- getVarianceImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns the currently configured variance implementation
- getVarianceImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns the currently configured variance implementation
- getVcvElement(int, int) - Method in class org.apache.commons.math3.stat.regression.RegressionResults
-
Gets the i-jth element of the variance-covariance matrix.
- getVector() - Method in class org.apache.commons.math3.geometry.spherical.oned.S1Point
-
Get the corresponding normalized vector in the 2D euclidean space.
- getVector() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
-
Get the corresponding normalized vector in the 3D euclidean space.
- getVectorPart() - Method in class org.apache.commons.math3.complex.Quaternion
-
Gets the three components of the vector part of the quaternion.
- getVertices() - Method in class org.apache.commons.math3.geometry.euclidean.twod.hull.ConvexHull2D
-
Get the vertices of the convex hull.
- getVertices() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
-
Get the vertices of the polygon.
- getVertices() - Method in interface org.apache.commons.math3.geometry.hull.ConvexHull
-
Get the vertices of the convex hull.
- getVT() - Method in class org.apache.commons.math3.linear.EigenDecomposition
-
Gets the transpose of the matrix V of the decomposition.
- getVT() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Returns the transpose of the matrix V of the decomposition.
- getWeight() - Method in class org.apache.commons.math3.fitting.WeightedObservedPoint
-
Gets the weight of the measurement in the fitting process.
- getWeight() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
-
Deprecated.Gets the weight matrix of the observations.
- getWeight() - Method in class org.apache.commons.math3.optim.nonlinear.vector.Weight
-
Deprecated.Gets the initial guess.
- getWeight() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.Gets the weight matrix of the observations.
- getWeight() - Method in class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint
-
Deprecated.Get the weight of the measurement in the fitting process.
- getWeight() - Method in class org.apache.commons.math3.optimization.Weight
-
Deprecated.Gets the initial guess.
- getWeight(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
-
Gets the weight of the integration point at the given index.
- getWeightRef() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.As of 3.1.
- getWeightSquareRoot() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
-
Deprecated.Gets the square-root of the weight matrix.
- getWeightSquareRoot() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.Gets the square-root of the weight matrix.
- getWholeFormat() - Method in class org.apache.commons.math3.fraction.ProperBigFractionFormat
-
Access the whole format.
- getWholeFormat() - Method in class org.apache.commons.math3.fraction.ProperFractionFormat
-
Access the whole format.
- getWidth() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get the width of the tableau.
- getWidth() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Get the width of the tableau.
- getWilsonScoreInterval(int, int, double) - Static method in class org.apache.commons.math3.stat.interval.IntervalUtils
-
Create a Wilson score binomial confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
- getWindowSize() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Returns the maximum number of values that can be stored in the dataset, or INFINITE_WINDOW (-1) if there is no limit.
- getWindowSize() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
-
Returns the maximum number of values that can be stored in the dataset, or INFINITE_WINDOW (-1) if there is no limit.
- getWorkArray(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Get the work array to operate.
- getWrongColumnDimension() - Method in exception class org.apache.commons.math3.linear.MatrixDimensionMismatchException
- getWrongDimension(int) - Method in exception class org.apache.commons.math3.exception.MultiDimensionMismatchException
- getWrongDimensions() - Method in exception class org.apache.commons.math3.exception.MultiDimensionMismatchException
- getWrongRowDimension() - Method in exception class org.apache.commons.math3.linear.MatrixDimensionMismatchException
- getX() - Method in class org.apache.commons.math3.fitting.WeightedObservedPoint
-
Gets the abscissa of the point.
- getX() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Get the abscissa of the vector.
- getX() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Get the abscissa of the vector.
- getX() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Get the abscissa of the vector.
- getX() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Get the abscissa of the vector.
- getX() - Method in class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint
-
Deprecated.Get the abscissa of the point.
- getX() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
- getXAxis() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
-
Get the X axis of the circle.
- getXSumSquares() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Returns the sum of squared deviations of the x values about their mean.
- getY() - Method in class org.apache.commons.math3.fitting.WeightedObservedPoint
-
Gets the observed value of the function at x.
- getY() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Get the ordinate of the vector.
- getY() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Get the ordinate of the vector.
- getY() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Get the ordinate of the vector.
- getY() - Method in class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint
-
Deprecated.Get the observed value of the function at x.
- getY() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
- getYAxis() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
-
Get the Y axis of the circle.
- getZ() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Get the height of the vector.
- getZ() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Get the height of the vector.
- getZero() - Method in class org.apache.commons.math3.complex.ComplexField
-
Get the additive identity of the field.
- getZero() - Method in class org.apache.commons.math3.dfp.Dfp
-
Get the constant 0.
- getZero() - Method in class org.apache.commons.math3.dfp.DfpField
-
Get the constant 0.
- getZero() - Method in interface org.apache.commons.math3.Field
-
Get the additive identity of the field.
- getZero() - Method in class org.apache.commons.math3.fraction.BigFractionField
-
Get the additive identity of the field.
- getZero() - Method in class org.apache.commons.math3.fraction.FractionField
-
Get the additive identity of the field.
- getZero() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Get the null vector of the vectorial space or origin point of the affine space.
- getZero() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Get the null vector of the vectorial space or origin point of the affine space.
- getZero() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Get the null vector of the vectorial space or origin point of the affine space.
- getZero() - Method in interface org.apache.commons.math3.geometry.Vector
-
Get the null vector of the vectorial space or origin point of the affine space.
- getZero() - Method in class org.apache.commons.math3.util.BigRealField
-
Get the additive identity of the field.
- getZero() - Method in class org.apache.commons.math3.util.Decimal64Field
-
Get the additive identity of the field.
- GillFieldIntegrator<T> - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements the Gill fourth order Runge-Kutta integrator for Ordinary Differential Equations .
- GillFieldIntegrator(Field<T>, T) - Constructor for class org.apache.commons.math3.ode.nonstiff.GillFieldIntegrator
-
Simple constructor.
- GillFieldStepInterpolator<T> - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements a step interpolator for the Gill fourth order Runge-Kutta integrator.
- GillFieldStepInterpolator(Field<T>, boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Constructor for class org.apache.commons.math3.ode.nonstiff.GillFieldStepInterpolator
-
Simple constructor.
- GillIntegrator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements the Gill fourth order Runge-Kutta integrator for Ordinary Differential Equations .
- GillIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.GillIntegrator
-
Simple constructor.
- GillStepInterpolator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements a step interpolator for the Gill fourth order Runge-Kutta integrator.
- GillStepInterpolator() - Constructor for class org.apache.commons.math3.ode.nonstiff.GillStepInterpolator
-
Simple constructor.
- GillStepInterpolator(GillStepInterpolator) - Constructor for class org.apache.commons.math3.ode.nonstiff.GillStepInterpolator
-
Copy constructor.
- GLD_RATIO - Static variable in class org.apache.commons.math3.random.ISAACRandom
-
The golden ratio
- globalCurrentState - Variable in class org.apache.commons.math3.ode.sampling.AbstractFieldStepInterpolator
-
Global current state.
- globalCurrentTime - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
global current time
- globalFitInfo - Variable in class org.apache.commons.math3.stat.regression.RegressionResults
-
array storing global results, SSE, MSE, RSQ, adjRSQ
- globalPreviousState - Variable in class org.apache.commons.math3.ode.sampling.AbstractFieldStepInterpolator
-
Global previous state.
- globalPreviousTime - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
global previous time
- GLSMultipleLinearRegression - Class in org.apache.commons.math3.stat.regression
-
The GLS implementation of multiple linear regression.
- GLSMultipleLinearRegression() - Constructor for class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
- gmax - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The value of max(|alpha[1]|, gamma[1], ..., gamma[k-1]).
- gmin - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The value of min(|alpha[1]|, gamma[1], ..., gamma[k-1]).
- goal - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
-
Type of optimization.
- goal - Variable in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
-
Type of optimization.
- goal - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.Type of optimization.
- goal - Variable in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
-
Deprecated.Type of optimization goal: either
GoalType.MAXIMIZE
orGoalType.MINIMIZE
. - goal - Variable in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.Optimization type
- GoalType - Enum in org.apache.commons.math3.optim.nonlinear.scalar
-
Goal type for an optimization problem (minimization or maximization of a scalar function.
- GoalType - Enum in org.apache.commons.math3.optimization
-
Deprecated.As of 3.1 (to be removed in 4.0).
- GoalType() - Constructor for enum org.apache.commons.math3.optim.nonlinear.scalar.GoalType
- GoalType() - Constructor for enum org.apache.commons.math3.optimization.GoalType
-
Deprecated.
- GOLD - Static variable in class org.apache.commons.math3.optim.univariate.BracketFinder
-
Golden section.
- GOLD - Static variable in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.Golden section.
- GOLDEN_SECTION - Static variable in class org.apache.commons.math3.optim.univariate.BrentOptimizer
-
Golden section.
- GOLDEN_SECTION - Static variable in class org.apache.commons.math3.optimization.univariate.BrentOptimizer
-
Deprecated.Golden section.
- goodb - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
Copy of the
goodb
parameter. - gradient - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.GradientMultivariateOptimizer
-
Gradient of the objective function.
- gradient - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunctionGradient
-
Function to be optimized.
- gradient - Variable in class org.apache.commons.math3.optimization.general.AbstractDifferentiableOptimizer
-
Deprecated.Objective function gradient.
- gradient - Variable in class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer
-
Deprecated.Objective function gradient.
- gradient() - Method in interface org.apache.commons.math3.analysis.DifferentiableMultivariateFunction
-
Deprecated.Returns the gradient function.
- gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.Gaussian.Parametric
-
Computes the value of the gradient at
x
. - gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator.Parametric
-
Computes the value of the gradient at
x
. - gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.Logistic.Parametric
-
Computes the value of the gradient at
x
. - gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.Logit.Parametric
-
Computes the value of the gradient at
x
. - gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.Sigmoid.Parametric
-
Computes the value of the gradient at
x
. - gradient(double, double...) - Method in interface org.apache.commons.math3.analysis.ParametricUnivariateFunction
-
Compute the gradient of the function with respect to its parameters.
- gradient(double, double...) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction.Parametric
-
Compute the gradient of the function with respect to its parameters.
- gradientAtTrustRegionCenter - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Gradient of the quadratic model at
BOBYQAOptimizer.originShift
+BOBYQAOptimizer.trustRegionCenterOffset
. - gradientAtTrustRegionCenter - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Gradient of the quadratic model at
BOBYQAOptimizer.originShift
+BOBYQAOptimizer.trustRegionCenterOffset
. - GradientFunction - Class in org.apache.commons.math3.analysis.differentiation
-
Class representing the gradient of a multivariate function.
- GradientFunction(MultivariateDifferentiableFunction) - Constructor for class org.apache.commons.math3.analysis.differentiation.GradientFunction
-
Simple constructor.
- GradientMultivariateOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar
-
Base class for implementing optimizers for multivariate scalar differentiable functions.
- GradientMultivariateOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.GradientMultivariateOptimizer
- GraggBulirschStoerIntegrator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements a Gragg-Bulirsch-Stoer integrator for Ordinary Differential Equations.
- GraggBulirschStoerIntegrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
Simple constructor.
- GraggBulirschStoerIntegrator(double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
Simple constructor.
- GraggBulirschStoerStepInterpolator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements an interpolator for the Gragg-Bulirsch-Stoer integrator.
- GraggBulirschStoerStepInterpolator() - Constructor for class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
-
Simple constructor.
- GraggBulirschStoerStepInterpolator(double[], double[], double[], double[], double[][], boolean, EquationsMapper, EquationsMapper[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
-
Simple constructor.
- GraggBulirschStoerStepInterpolator(GraggBulirschStoerStepInterpolator) - Constructor for class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
-
Copy constructor.
- GREATER_THAN - Enum constant in enum org.apache.commons.math3.stat.inference.AlternativeHypothesis
-
Represents a right-sided test.
- GREATER_THAN_TRAP - Static variable in class org.apache.commons.math3.dfp.Dfp
-
Name for traps triggered by greaterThan.
- greaterThan(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
-
Check if instance is greater than x.
- growLimit - Variable in class org.apache.commons.math3.optim.univariate.BracketFinder
-
Factor for expanding the interval.
- growLimit - Variable in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.Factor for expanding the interval.
- growTable() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Grow the tables.
- growTable() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Grow the tables.
- gTest(double[], long[]) - Method in class org.apache.commons.math3.stat.inference.GTest
-
Returns the observed significance level, or p-value, associated with a G-Test for goodness of fit comparing the
observed
frequency counts to those in theexpected
array. - gTest(double[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- gTest(double[], long[], double) - Method in class org.apache.commons.math3.stat.inference.GTest
-
Performs a G-Test (Log-Likelihood Ratio Test) for goodness of fit evaluating the null hypothesis that the observed counts conform to the frequency distribution described by the expected counts, with significance level
alpha
. - gTest(double[], long[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- GTest - Class in org.apache.commons.math3.stat.inference
-
Implements G Test statistics.
- GTest() - Constructor for class org.apache.commons.math3.stat.inference.GTest
- gTestDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math3.stat.inference.GTest
-
Returns the observed significance level, or p-value, associated with a G-Value (Log-Likelihood Ratio) for two sample test comparing bin frequency counts in
observed1
andobserved2
. - gTestDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- gTestDataSetsComparison(long[], long[], double) - Method in class org.apache.commons.math3.stat.inference.GTest
-
Performs a G-Test (Log-Likelihood Ratio Test) comparing two binned data sets.
- gTestDataSetsComparison(long[], long[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- gTestIntrinsic(double[], long[]) - Method in class org.apache.commons.math3.stat.inference.GTest
-
Returns the intrinsic (Hardy-Weinberg proportions) p-Value, as described in p64-69 of McDonald, J.H.
- gTestIntrinsic(double[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- guess() - Method in class org.apache.commons.math3.fitting.GaussianCurveFitter.ParameterGuesser
-
Gets an estimation of the parameters.
- guess() - Method in class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
-
Deprecated.Gets an estimation of the parameters.
- guess() - Method in class org.apache.commons.math3.fitting.HarmonicCurveFitter.ParameterGuesser
-
Gets an estimation of the parameters.
- guess() - Method in class org.apache.commons.math3.fitting.HarmonicFitter.ParameterGuesser
-
Deprecated.Gets an estimation of the parameters.
- guess() - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
-
Deprecated.Gets an estimation of the parameters.
- guess() - Method in class org.apache.commons.math3.optimization.fitting.HarmonicFitter.ParameterGuesser
-
Deprecated.Gets an estimation of the parameters.
- guessAOmega(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.fitting.HarmonicCurveFitter.ParameterGuesser
-
Estimate a first guess of the amplitude and angular frequency.
- guessAOmega(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.fitting.HarmonicFitter.ParameterGuesser
-
Deprecated.Estimate a first guess of the amplitude and angular frequency.
- guessAOmega(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.optimization.fitting.HarmonicFitter.ParameterGuesser
-
Deprecated.Estimate a first guess of the amplitude and angular frequency.
- guessParametersErrors() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.as of version 3.1,
AbstractLeastSquaresOptimizer.computeSigma(double[],double)
should be used instead. It should be emphasized thatguessParametersErrors
andcomputeSigma
are not strictly equivalent. - guessPhi(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.fitting.HarmonicCurveFitter.ParameterGuesser
-
Estimate a first guess of the phase.
- guessPhi(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.fitting.HarmonicFitter.ParameterGuesser
-
Deprecated.Estimate a first guess of the phase.
- guessPhi(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.optimization.fitting.HarmonicFitter.ParameterGuesser
-
Deprecated.Estimate a first guess of the phase.
- guessX(double, double[], double[], int, int) - Method in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
-
Guess an x value by nth order inverse polynomial interpolation.
- guessX(T, T[], T[], int, int) - Method in class org.apache.commons.math3.analysis.solvers.FieldBracketingNthOrderBrentSolver
-
Guess an x value by nth order inverse polynomial interpolation.
- GumbelDistribution - Class in org.apache.commons.math3.distribution
-
This class implements the Gumbel distribution.
- GumbelDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.GumbelDistribution
-
Build a new instance.
- GumbelDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.GumbelDistribution
-
Build a new instance.
H
- h - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
current time step
- h - Variable in class org.apache.commons.math3.ode.sampling.FieldStepNormalizer
-
Fixed time step.
- h - Variable in class org.apache.commons.math3.ode.sampling.StepNormalizer
-
Fixed time step.
- h(double) - Method in class org.apache.commons.math3.distribution.ZipfDistribution.ZipfRejectionInversionSampler
-
h(x) := 1/x^exponent
- H_SIZE - Static variable in class org.apache.commons.math3.random.ISAACRandom
-
Half-size of rsl[] and mem[]
- H0 - Static variable in class org.apache.commons.math3.analysis.integration.gauss.HermiteRuleFactory
-
π-1/4
- H1 - Static variable in class org.apache.commons.math3.analysis.integration.gauss.HermiteRuleFactory
-
π-1/4 √2
- HALF - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Constant 1/2.
- HALF - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Constant 1/2.
- HALF_LOG_2_PI - Static variable in class org.apache.commons.math3.distribution.SaddlePointExpansion
-
1/2 * log(2 π).
- HALF_LOG_2_PI - Static variable in class org.apache.commons.math3.special.Gamma
-
Avoid repeated computation of log of 2 PI in logGamma
- HALF_LOG_TWO_PI - Static variable in class org.apache.commons.math3.special.Beta
-
The constant value of ½log 2π.
- halfC - Variable in class org.apache.commons.math3.distribution.LevyDistribution
-
Half of c (for calculations).
- halfSampleSpan - Variable in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
-
Half sample span.
- HaltonSequenceGenerator - Class in org.apache.commons.math3.random
-
Implementation of a Halton sequence.
- HaltonSequenceGenerator(int) - Constructor for class org.apache.commons.math3.random.HaltonSequenceGenerator
-
Construct a new Halton sequence generator for the given space dimension.
- HaltonSequenceGenerator(int, int[], int[]) - Constructor for class org.apache.commons.math3.random.HaltonSequenceGenerator
-
Construct a new Halton sequence generator with the given base numbers and weights for each dimension.
- handler - Variable in class org.apache.commons.math3.ode.events.EventState
-
Event handler.
- handler - Variable in class org.apache.commons.math3.ode.events.FieldEventState
-
Event handler.
- handler - Variable in class org.apache.commons.math3.ode.sampling.FieldStepNormalizer
-
Underlying step handler.
- handler - Variable in class org.apache.commons.math3.ode.sampling.StepNormalizer
-
Underlying step handler.
- handleStep(double, double[], double[], boolean) - Method in interface org.apache.commons.math3.ode.sampling.FixedStepHandler
-
Handle the last accepted step
- handleStep(FieldODEStateAndDerivative<T>, boolean) - Method in interface org.apache.commons.math3.ode.sampling.FieldFixedStepHandler
-
Handle the last accepted step
- handleStep(FieldStepInterpolator<T>, boolean) - Method in class org.apache.commons.math3.ode.ContinuousOutputFieldModel
-
Handle the last accepted step.
- handleStep(FieldStepInterpolator<T>, boolean) - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator.FieldNordsieckInitializer
-
Handle the last accepted step
- handleStep(FieldStepInterpolator<T>, boolean) - Method in interface org.apache.commons.math3.ode.sampling.FieldStepHandler
-
Handle the last accepted step
- handleStep(FieldStepInterpolator<T>, boolean) - Method in class org.apache.commons.math3.ode.sampling.FieldStepNormalizer
-
Handle the last accepted step
- handleStep(StepInterpolator, boolean) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
-
Handle the last accepted step.
- handleStep(StepInterpolator, boolean) - Method in class org.apache.commons.math3.ode.MultistepIntegrator.NordsieckInitializer
-
Handle the last accepted step
- handleStep(StepInterpolator, boolean) - Method in class org.apache.commons.math3.ode.sampling.DummyStepHandler
-
Handle the last accepted step.
- handleStep(StepInterpolator, boolean) - Method in interface org.apache.commons.math3.ode.sampling.StepHandler
-
Handle the last accepted step
- handleStep(StepInterpolator, boolean) - Method in class org.apache.commons.math3.ode.sampling.StepNormalizer
-
Handle the last accepted step
- HarmonicCurveFitter - Class in org.apache.commons.math3.fitting
-
Fits points to a
harmonic oscillator
function. - HarmonicCurveFitter(double[], int) - Constructor for class org.apache.commons.math3.fitting.HarmonicCurveFitter
-
Contructor used by the factory methods.
- HarmonicCurveFitter.ParameterGuesser - Class in org.apache.commons.math3.fitting
-
This class guesses harmonic coefficients from a sample.
- HarmonicFitter - Class in org.apache.commons.math3.fitting
-
Deprecated.As of 3.3. Please use
HarmonicCurveFitter
andWeightedObservedPoints
instead. - HarmonicFitter - Class in org.apache.commons.math3.optimization.fitting
-
Deprecated.As of 3.1 (to be removed in 4.0).
- HarmonicFitter(MultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.fitting.HarmonicFitter
-
Deprecated.Simple constructor.
- HarmonicFitter(DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.HarmonicFitter
-
Deprecated.Simple constructor.
- HarmonicFitter.ParameterGuesser - Class in org.apache.commons.math3.fitting
-
Deprecated.This class guesses harmonic coefficients from a sample.
- HarmonicFitter.ParameterGuesser - Class in org.apache.commons.math3.optimization.fitting
-
Deprecated.This class guesses harmonic coefficients from a sample.
- HarmonicOscillator - Class in org.apache.commons.math3.analysis.function
-
simple harmonic oscillator function.
- HarmonicOscillator(double, double, double) - Constructor for class org.apache.commons.math3.analysis.function.HarmonicOscillator
-
Harmonic oscillator function.
- HarmonicOscillator.Parametric - Class in org.apache.commons.math3.analysis.function
-
Parametric function where the input array contains the parameters of the harmonic oscillator function, ordered as follows: Amplitude Angular frequency Phase
- hasComplexEigenvalues() - Method in class org.apache.commons.math3.linear.EigenDecomposition
-
Returns whether the calculated eigen values are complex or real.
- hasConverged - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
true
if the default convergence criterion is verified. - hasConverged() - Method in class org.apache.commons.math3.linear.SymmLQ.State
-
Returns
true
if the default stopping criterion is fulfilled. - hash(double) - Static method in class org.apache.commons.math3.util.MathUtils
-
Returns an integer hash code representing the given double value.
- hash(double[]) - Static method in class org.apache.commons.math3.util.MathUtils
-
Returns an integer hash code representing the given double array.
- hashCode() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Get a hashCode for the derivative structure.
- hashCode() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Get a hashCode for the derivative structure.
- hashCode() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
- hashCode() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils.JacobiKey
-
Get hash code.
- hashCode() - Method in class org.apache.commons.math3.complex.Complex
-
Get a hashCode for the complex number.
- hashCode() - Method in class org.apache.commons.math3.complex.Quaternion
- hashCode() - Method in class org.apache.commons.math3.dfp.Dfp
-
Gets a hashCode for the instance.
- hashCode() - Method in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization.DataRow
- hashCode() - Method in class org.apache.commons.math3.fraction.BigFraction
-
Gets a hashCode for the fraction.
- hashCode() - Method in class org.apache.commons.math3.fraction.Fraction
-
Gets a hashCode for the fraction.
- hashCode() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Get a hashCode for the 1D vector.
- hashCode() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Get a hashCode for the 3D vector.
- hashCode() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Get a hashCode for the 3D vector.
- hashCode() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Get a hashCode for the 2D vector.
- hashCode() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Deprecated.
- hashCode() - Method in class org.apache.commons.math3.geometry.spherical.oned.S1Point
-
Get a hashCode for the 2D vector.
- hashCode() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
-
Get a hashCode for the 2D vector.
- hashCode() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Computes a hashcode for the matrix.
- hashCode() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Computes a hashcode for the matrix.
- hashCode() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Get a hashCode for the real vector.
- hashCode() - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
.
- hashCode() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
.
- hashCode() - Method in class org.apache.commons.math3.linear.RealVector
-
.
- hashCode() - Method in class org.apache.commons.math3.linear.SparseFieldVector
- hashCode() - Method in class org.apache.commons.math3.ml.clustering.DoublePoint
- hashCode() - Method in class org.apache.commons.math3.optim.linear.LinearConstraint
- hashCode() - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
- hashCode() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
- hashCode() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.DoubleIndex
- hashCode() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.DoubleIndex
-
Deprecated.
- hashCode() - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
-
Deprecated.
- hashCode() - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
-
Deprecated.
- hashCode() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.
- hashCode() - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
-
Deprecated.
- hashCode() - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
-
Deprecated.
- hashCode() - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
-
Returns hash code based on getResult() and getN()
- hashCode() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics.AggregatingSummaryStatistics
-
Returns hash code based on values of statistics
- hashCode() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
- hashCode() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
- hashCode() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Returns hash code based on values of statistics
- hashCode() - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
-
Returns hash code based on getResult() and getN()
- hashCode() - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Marker
- hashCode() - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Markers
- hashCode() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
-
Returns hash code based on values of statistics
- hashCode() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Returns hash code based on values of statistics
- hashCode() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Returns hash code based on values of statistics
- hashCode() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Returns hash code based on values of statistics
- hashCode() - Method in class org.apache.commons.math3.stat.Frequency
- hashCode() - Method in class org.apache.commons.math3.util.BigReal
- hashCode() - Method in class org.apache.commons.math3.util.Decimal64
-
The current implementation returns the same value as
new Double(this.doubleValue()).hashCode()
- hashCode() - Method in class org.apache.commons.math3.util.DefaultTransformer
- hashCode() - Method in class org.apache.commons.math3.util.Pair
-
Compute a hash code.
- hashCode() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Returns a hash code consistent with equals.
- hashCode() - Method in class org.apache.commons.math3.util.TransformerMap
- hashOf(int) - Static method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Compute the hash value of a key
- hashOf(int) - Static method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Compute the hash value of a key
- hasIntercept - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
boolean flag whether a regression constant is added
- hasIntercept - Variable in class org.apache.commons.math3.stat.regression.SimpleRegression
-
include an intercept or not
- hasIntercept() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
A getter method which determines whether a constant is included.
- hasIntercept() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
-
Returns true if the regression model has been computed including an intercept.
- hasIntercept() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Returns true if the model includes an intercept term.
- hasIntercept() - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
-
Returns true if a constant has been included false otherwise.
- hasNext() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet.SubIntervalsIterator
- hasNext() - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet.SubArcsIterator
- hasNext() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapSparseIterator
- hasNext() - Method in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
- hasNext() - Method in class org.apache.commons.math3.util.Combinations.LexicographicIterator
- hasNext() - Method in class org.apache.commons.math3.util.Combinations.SingletonIterator
- hasNext() - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor
- hasNext() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
- hasNext() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator
-
Check if there is a next element in the map.
- hasNext() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator
-
Check if there is a next element in the map.
- hasTies(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Returns true iff there are ties in the combined sample formed from x and y.
- HEAD - Enum constant in enum org.apache.commons.math3.util.MathArrays.Position
-
Designates the beginning of the array (near index 0).
- height(int) - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Markers
-
Return marker height given index
- height(int) - Method in interface org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.PSquareMarkers
-
Returns the marker height (or percentile) of a given marker index.
- helper1(double) - Static method in class org.apache.commons.math3.distribution.ZipfDistribution.ZipfRejectionInversionSampler
-
Helper function that calculates
log(1+x)/x
. - helper2(double) - Static method in class org.apache.commons.math3.distribution.ZipfDistribution.ZipfRejectionInversionSampler
-
Helper function to calculate
(exp(x)-1)/x
. - hermite - Variable in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
-
Generator of Gauss-Hermite integrators.
- hermite(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
-
Creates a Gauss-Hermite integrator of the given order.
- HERMITE_COEFFICIENTS - Static variable in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
-
Coefficients for Hermite polynomials.
- HermiteInterpolator - Class in org.apache.commons.math3.analysis.interpolation
-
Polynomial interpolator using both sample values and sample derivatives.
- HermiteInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
-
Create an empty interpolator.
- HermiteRuleFactory - Class in org.apache.commons.math3.analysis.integration.gauss
-
Factory that creates a Gauss-type quadrature rule using Hermite polynomials of the first kind.
- HermiteRuleFactory() - Constructor for class org.apache.commons.math3.analysis.integration.gauss.HermiteRuleFactory
- HessenbergTransformer - Class in org.apache.commons.math3.linear
-
Class transforming a general real matrix to Hessenberg form.
- HessenbergTransformer(RealMatrix) - Constructor for class org.apache.commons.math3.linear.HessenbergTransformer
-
Build the transformation to Hessenberg form of a general matrix.
- HEX_40000000 - Static variable in class org.apache.commons.math3.util.FastMath
-
0x40000000 - used to split a double into two parts, both with the low order bits cleared.
- HEX_40000000 - Static variable in class org.apache.commons.math3.util.FastMathCalc
-
0x40000000 - used to split a double into two parts, both with the low order bits cleared.
- hi - Variable in class org.apache.commons.math3.analysis.function.Logit
-
Higher bound.
- hi - Variable in class org.apache.commons.math3.analysis.function.Sigmoid
-
Higher asymptote.
- hi - Variable in exception class org.apache.commons.math3.exception.NoBracketingException
-
Higher end of the interval.
- hi - Variable in exception class org.apache.commons.math3.exception.OutOfRangeException
-
Higher bound.
- hi - Variable in class org.apache.commons.math3.optim.univariate.BracketFinder
-
Higher bound of the bracket.
- hi - Variable in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.Higher bound of the bracket.
- high - Variable in class org.apache.commons.math3.util.FastMath.Split
-
High order bits.
- HIGH - Static variable in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Markers
-
High marker index
- HighamHall54FieldIntegrator<T> - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements the 5(4) Higham and Hall integrator for Ordinary Differential Equations.
- HighamHall54FieldIntegrator(Field<T>, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.HighamHall54FieldIntegrator
-
Simple constructor.
- HighamHall54FieldIntegrator(Field<T>, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.HighamHall54FieldIntegrator
-
Simple constructor.
- HighamHall54FieldStepInterpolator<T> - Class in org.apache.commons.math3.ode.nonstiff
-
This class represents an interpolator over the last step during an ODE integration for the 5(4) Higham and Hall integrator.
- HighamHall54FieldStepInterpolator(Field<T>, boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Constructor for class org.apache.commons.math3.ode.nonstiff.HighamHall54FieldStepInterpolator
-
Simple constructor.
- HighamHall54Integrator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements the 5(4) Higham and Hall integrator for Ordinary Differential Equations.
- HighamHall54Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
-
Simple constructor.
- HighamHall54Integrator(double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
-
Simple constructor.
- HighamHall54StepInterpolator - Class in org.apache.commons.math3.ode.nonstiff
-
This class represents an interpolator over the last step during an ODE integration for the 5(4) Higham and Hall integrator.
- HighamHall54StepInterpolator() - Constructor for class org.apache.commons.math3.ode.nonstiff.HighamHall54StepInterpolator
-
Simple constructor.
- HighamHall54StepInterpolator(HighamHall54StepInterpolator) - Constructor for class org.apache.commons.math3.ode.nonstiff.HighamHall54StepInterpolator
-
Copy constructor.
- hIntegral(double) - Method in class org.apache.commons.math3.distribution.ZipfDistribution.ZipfRejectionInversionSampler
-
H(x) :=
(x^(1-exponent) - 1)/(1 - exponent)
, ifexponent != 1
log(x)
, ifexponent == 1
H(x) is an integral function of h(x), the derivative of H(x) is h(x). - hIntegralInverse(double) - Method in class org.apache.commons.math3.distribution.ZipfDistribution.ZipfRejectionInversionSampler
-
The inverse function of H(x).
- hIntegralNumberOfElements - Variable in class org.apache.commons.math3.distribution.ZipfDistribution.ZipfRejectionInversionSampler
-
Constant equal to
hIntegral(numberOfElements + 0.5)
. - hIntegralX1 - Variable in class org.apache.commons.math3.distribution.ZipfDistribution.ZipfRejectionInversionSampler
-
Constant equal to
hIntegral(1.5) - 1
. - HISTORY_SIZE - Static variable in class org.apache.commons.math3.ode.events.EventFilter
-
Number of past transformers updates stored.
- historySize - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Size of history queue of best values.
- historySize - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Size of history queue of best values.
- HitHistogram - Class in org.apache.commons.math3.ml.neuralnet.twod.util
-
Computes the hit histogram.
- HitHistogram(boolean, DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.neuralnet.twod.util.HitHistogram
- HOLE_BETWEEN_MODELS_TIME_RANGES - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- homoscedasticT(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- homoscedasticT(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Computes a 2-sample t statistic, under the hypothesis of equal subpopulation variances.
- homoscedasticT(double, double, double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Computes t test statistic for 2-sample t-test under the hypothesis of equal subpopulation variances.
- homoscedasticT(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- homoscedasticT(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Computes a 2-sample t statistic, comparing the means of the datasets described by two
StatisticalSummary
instances, under the assumption of equal subpopulation variances. - homoscedasticTTest(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- homoscedasticTTest(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the input arrays, under the assumption that the two samples are drawn from subpopulations with equal variances.
- homoscedasticTTest(double[], double[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- homoscedasticTTest(double[], double[], double) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Performs a two-sided t-test evaluating the null hypothesis that
sample1
andsample2
are drawn from populations with the same mean, with significance levelalpha
, assuming that the subpopulation variances are equal. - homoscedasticTTest(double, double, double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Computes p-value for 2-sided, 2-sample t-test, under the assumption of equal subpopulation variances.
- homoscedasticTTest(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- homoscedasticTTest(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances, under the hypothesis of equal subpopulation variances.
- HorizontalDirection() - Constructor for enum org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D.HorizontalDirection
- householderVectors - Variable in class org.apache.commons.math3.linear.BiDiagonalTransformer
-
Householder vectors.
- householderVectors - Variable in class org.apache.commons.math3.linear.HessenbergTransformer
-
Householder vectors.
- householderVectors - Variable in class org.apache.commons.math3.linear.TriDiagonalTransformer
-
Householder vectors.
- How it works - Search tag in org.apache.commons.math3.transform.FastHadamardTransformer.fht(double[])
- Section
- hP - Variable in class org.apache.commons.math3.ode.ParameterConfiguration
-
Parameter step for finite difference computation.
- hParam - Variable in class org.apache.commons.math3.ode.ParameterJacobianWrapper
-
Steps for finite difference computation of the Jacobian df/dp w.r.t.
- hY - Variable in class org.apache.commons.math3.ode.JacobianMatrices.MainStateJacobianWrapper
-
Steps for finite difference computation of the jacobian df/dy w.r.t.
- HYPER - Enum constant in enum org.apache.commons.math3.geometry.partitioning.Side
-
Code for the hyperplane itself.
- HypergeometricDistribution - Class in org.apache.commons.math3.distribution
-
Implementation of the hypergeometric distribution.
- HypergeometricDistribution(int, int, int) - Constructor for class org.apache.commons.math3.distribution.HypergeometricDistribution
-
Construct a new hypergeometric distribution with the specified population size, number of successes in the population, and sample size.
- HypergeometricDistribution(RandomGenerator, int, int, int) - Constructor for class org.apache.commons.math3.distribution.HypergeometricDistribution
-
Creates a new hypergeometric distribution.
- hyperplane - Variable in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
-
Underlying hyperplane.
- Hyperplane<S> - Interface in org.apache.commons.math3.geometry.partitioning
-
This interface represents an hyperplane of a space.
- hypot(double, double) - Static method in class org.apache.commons.math3.util.FastMath
-
Returns the hypotenuse of a triangle with sides
x
andy
- sqrt(x2 +y2)
avoiding intermediate overflow or underflow. - hypot(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Returns the hypotenuse of a triangle with sides
this
andy
- sqrt(this2 +y2) avoiding intermediate overflow or underflow. - hypot(DerivativeStructure, DerivativeStructure) - Static method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Returns the hypotenuse of a triangle with sides
x
andy
- sqrt(x2 +y2) avoiding intermediate overflow or underflow. - hypot(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Returns the hypotenuse of a triangle with sides
this
andy
- sqrt(this2 +y2) avoiding intermediate overflow or underflow. - hypot(SparseGradient, SparseGradient) - Static method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Returns the hypotenuse of a triangle with sides
x
andy
- sqrt(x2 +y2) avoiding intermediate overflow or underflow. - hypot(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
-
Returns the hypotenuse of a triangle with sides
this
andy
- sqrt(this2 +y2) avoiding intermediate overflow or underflow. - hypot(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
-
Returns the hypotenuse of a triangle with sides
this
andy
- sqrt(this2 +y2) avoiding intermediate overflow or underflow. - hypot(T) - Method in interface org.apache.commons.math3.RealFieldElement
-
Returns the hypotenuse of a triangle with sides
this
andy
- sqrt(this2 +y2) avoiding intermediate overflow or underflow.
I
- I - Static variable in class org.apache.commons.math3.complex.Complex
-
The square root of -1.
- I - Static variable in class org.apache.commons.math3.complex.Quaternion
-
i
- i1 - Variable in class org.apache.commons.math3.random.AbstractWell
-
Index indirection table giving for each index the value index + m1 taking table size into account.
- i2 - Variable in class org.apache.commons.math3.random.AbstractWell
-
Index indirection table giving for each index the value index + m2 taking table size into account.
- i2s2 - Variable in class org.apache.commons.math3.analysis.function.Gaussian
-
Inverse of twice the square of the standard deviation.
- i3 - Variable in class org.apache.commons.math3.random.AbstractWell
-
Index indirection table giving for each index the value index + m3 taking table size into account.
- identifier - Variable in class org.apache.commons.math3.ml.neuralnet.Neuron
-
Identifier.
- identifier - Variable in class org.apache.commons.math3.ml.neuralnet.Neuron.SerializationProxy
-
Identifier.
- identifiers - Variable in class org.apache.commons.math3.ml.neuralnet.oned.NeuronString
-
Mapping of the 1D coordinate to the neuron identifiers (attributed by the
NeuronString.network
instance). - identifiers - Variable in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
-
Mapping of the 2D coordinates (in the rectangular mesh) to the neuron identifiers (attributed by the
NeuronSquareMesh2D.network
instance). - Identity - Class in org.apache.commons.math3.analysis.function
-
Identity function.
- Identity() - Constructor for class org.apache.commons.math3.analysis.function.Identity
- IDENTITY - Static variable in class org.apache.commons.math3.complex.Quaternion
-
Identity quaternion.
- IDENTITY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Identity rotation.
- identityPermutation(int) - Static method in class org.apache.commons.math3.genetics.RandomKey
-
Generates a representation corresponding to an identity permutation of length l which can be passed to the RandomKey constructor.
- IdentityPreconditioner() - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.IdentityPreconditioner
- IdentityPreconditioner() - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer.IdentityPreconditioner
-
Deprecated.
- ieeeFlags - Variable in class org.apache.commons.math3.dfp.DfpField
-
IEEE 854-1987 signals.
- IEEEremainder(double, double) - Static method in class org.apache.commons.math3.util.FastMath
-
Computes the remainder as prescribed by the IEEE 754 standard.
- ILL_CONDITIONED_OPERATOR - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- IllConditionedOperatorException - Exception Class in org.apache.commons.math3.linear
-
An exception to be thrown when the condition number of a
RealLinearOperator
is too high. - IllConditionedOperatorException(double) - Constructor for exception class org.apache.commons.math3.linear.IllConditionedOperatorException
-
Creates a new instance of this class.
- ILLEGAL_STATE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- ILLINOIS - Enum constant in enum org.apache.commons.math3.analysis.solvers.BaseSecantSolver.Method
-
The
Illinois
method. - IllinoisSolver - Class in org.apache.commons.math3.analysis.solvers
-
Implements the Illinois method for root-finding (approximating a zero of a univariate real function).
- IllinoisSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.IllinoisSolver
-
Construct a solver with default accuracy (1e-6).
- IllinoisSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.IllinoisSolver
-
Construct a solver.
- IllinoisSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.IllinoisSolver
-
Construct a solver.
- IllinoisSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.IllinoisSolver
-
Construct a solver.
- illuminate(double[], double, double) - Method in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere
-
Illumination.
- illumination - Variable in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere.FacetData
-
Illumination received from the sample.
- illumination() - Method in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere.FacetData
-
Get the illumination.
- illumination() - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction.MicrosphereSurfaceElement
-
Deprecated.Get the illumination of the element.
- imagEigenvalues - Variable in class org.apache.commons.math3.linear.EigenDecomposition
-
Imaginary part of the realEigenvalues.
- imagEigenvalues - Variable in class org.apache.commons.math3.linear.EigenDecomposition.Solver
-
Imaginary part of the realEigenvalues.
- imaginary - Variable in class org.apache.commons.math3.complex.Complex
-
The imaginary part.
- IMAGINARY_FORMAT - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- imaginaryCharacter - Variable in class org.apache.commons.math3.complex.ComplexFormat
-
The notation used to signify the imaginary part of the complex number.
- imaginaryFormat - Variable in class org.apache.commons.math3.complex.ComplexFormat
-
The format used for the imaginary part.
- Implementation details - Search tag in class org.apache.commons.math3.ode.nonstiff.AdamsBashforthFieldIntegrator
- Section
- Implementation details - Search tag in class org.apache.commons.math3.ode.nonstiff.AdamsBashforthIntegrator
- Section
- Implementation details - Search tag in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonFieldIntegrator
- Section
- Implementation details - Search tag in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator
- Section
- IMPLICIT_HIGH_BIT - Static variable in class org.apache.commons.math3.util.FastMath
-
Mask used to add implicit high order bit for normalized double.
- IMPLICIT_ONE - Static variable in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Deprecated.Implicit MSB for normalized numbers.
- Important note: Usage should not assume that this class is thread-safe even though some of the methods are synchronized. This qualifier will be dropped in the next major release (4.0). - Search tag in class org.apache.commons.math3.util.ResizableDoubleArray
- Section
- include(double[], double, double) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
The include method is where the QR decomposition occurs.
- includeCollinearPoints - Variable in class org.apache.commons.math3.geometry.euclidean.twod.hull.AbstractConvexHullGenerator2D
-
Indicates if collinear points on the hull shall be present in the output.
- incMoment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
-
Determines whether or not this statistic can be incremented or cleared.
- incMoment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Mean
-
Determines whether or not this statistic can be incremented or cleared.
- incMoment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Skewness
-
Determines whether or not this statistic can be incremented or cleared.
- incMoment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Whether or not
Variance.increment(double)
should increment the internal second moment. - incoming - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Vertex
-
Incoming edge.
- incoming - Variable in class org.apache.commons.math3.geometry.spherical.twod.Vertex
-
Incoming edge.
- INCONSISTENT_STATE_AT_2_PI_WRAPPING - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- InconsistentStateAt2PiWrapping() - Constructor for exception class org.apache.commons.math3.geometry.spherical.oned.ArcsSet.InconsistentStateAt2PiWrapping
-
Simple constructor.
- increasing - Variable in class org.apache.commons.math3.ode.events.EventState
-
Variation direction around pending event.
- increasing - Variable in class org.apache.commons.math3.ode.events.FieldEventState
-
Variation direction around pending event.
- INCREASING - Enum constant in enum org.apache.commons.math3.util.MathArrays.OrderDirection
-
Constant for increasing direction.
- increment - Variable in class org.apache.commons.math3.util.IntegerSequence.Incrementor
-
Increment.
- increment() - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor
-
Adds the increment value to the current iteration count.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.FourthMoment
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.ThirdMoment
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double) - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
-
Updates the internal state of the statistic to reflect the addition of the new value.
- increment(double[]) - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
-
Increment the covariance matrix with one row of data.
- increment(double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
-
Add a new vector to the sample.
- increment(double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
-
Add a new vector to the sample.
- increment(double, double) - Method in class org.apache.commons.math3.stat.correlation.StorelessBivariateCovariance
-
Update the covariance estimation with a pair of variables (x, y).
- increment(int) - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor
-
Performs multiple increments.
- INCREMENT - Enum constant in enum org.apache.commons.math3.ode.sampling.StepNormalizerMode
-
Steps are fixed increments of the start value.
- incrementAll(double[]) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
-
This default implementation just calls
AbstractStorelessUnivariateStatistic.increment(double)
in a loop over the input array. - incrementAll(double[]) - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
-
Updates the internal state of the statistic to reflect addition of all values in the values array.
- incrementAll(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
-
This default implementation just calls
AbstractStorelessUnivariateStatistic.increment(double)
in a loop over the specified portion of the input array. - incrementAll(double[], int, int) - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
-
Updates the internal state of the statistic to reflect addition of the values in the designated portion of the values array.
- incrementCount() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Increment the number of iterations.
- incrementCount() - Method in class org.apache.commons.math3.util.Incrementor
-
Deprecated.Adds one to the current iteration count.
- incrementCount(int) - Method in class org.apache.commons.math3.util.Incrementor
-
Deprecated.Performs multiple increments.
- incrementEvaluationCount() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Increment the evaluation count by one.
- incrementEvaluationCount() - Method in class org.apache.commons.math3.optim.BaseOptimizer
-
Increment the evaluation count.
- incrementExact(int) - Static method in class org.apache.commons.math3.util.FastMath
-
Increment a number, detecting overflows.
- incrementExact(long) - Static method in class org.apache.commons.math3.util.FastMath
-
Increment a number, detecting overflows.
- incrementIterationCount() - Method in class org.apache.commons.math3.optim.BaseOptimizer
-
Increment the iteration count.
- incrementIterationCount() - Method in class org.apache.commons.math3.util.IterationManager
-
Increments the iteration count by one, and throws an exception if the maximum number of iterations is reached.
- incrementIterationsCounter() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
-
Deprecated.Increment the iterations counter by 1.
- Incrementor - Class in org.apache.commons.math3.util
-
Deprecated.Use
IntegerSequence.Incrementor
instead. - Incrementor() - Constructor for class org.apache.commons.math3.util.Incrementor
-
Deprecated.Default constructor.
- Incrementor(int) - Constructor for class org.apache.commons.math3.util.Incrementor
-
Deprecated.Defines a maximal count.
- Incrementor(int, int, int, IntegerSequence.Incrementor.MaxCountExceededCallback) - Constructor for class org.apache.commons.math3.util.IntegerSequence.Incrementor
-
Creates an incrementor.
- Incrementor(int, Incrementor.MaxCountExceededCallback) - Constructor for class org.apache.commons.math3.util.Incrementor
-
Deprecated.Defines a maximal count and a callback method to be triggered at counter exhaustion.
- Incrementor.MaxCountExceededCallback - Interface in org.apache.commons.math3.util
-
Deprecated.Defines a method to be called at counter exhaustion.
- incrementPosition(int) - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Marker
-
Increment Position by d.
- incrementPositions(int, int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Markers
-
Increment positions by d.
- incrementValue(char, long) - Method in class org.apache.commons.math3.stat.Frequency
-
Increments the frequency count for v.
- incrementValue(int, long) - Method in class org.apache.commons.math3.stat.Frequency
-
Increments the frequency count for v.
- incrementValue(long, long) - Method in class org.apache.commons.math3.stat.Frequency
-
Increments the frequency count for v.
- incrementValue(Comparable<?>, long) - Method in class org.apache.commons.math3.stat.Frequency
-
Increments the frequency count for v.
- index - Variable in exception class org.apache.commons.math3.exception.NonMonotonicSequenceException
-
Index of the wrong value.
- index - Variable in exception class org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException
-
Index (diagonal element).
- index - Variable in class org.apache.commons.math3.linear.RealVector.Entry
-
Index of this entry.
- index - Variable in class org.apache.commons.math3.ode.ContinuousOutputFieldModel
-
Current interpolator index.
- index - Variable in class org.apache.commons.math3.ode.ContinuousOutputModel
-
Current interpolator index.
- index - Variable in class org.apache.commons.math3.ode.JacobianMatrices
-
Index of the instance in the expandable set.
- index - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.DoubleIndex
-
Index into sorted array.
- index - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.DoubleIndex
-
Deprecated.Index into sorted array.
- index - Variable in class org.apache.commons.math3.random.AbstractWell
-
Current index in the bytes pool.
- index - Variable in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Marker
-
The marker index which is just a serial number for the marker in the marker array of 5+1.
- index(double, int) - Method in enum org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType
-
Finds the index of array that can be used as starting index to
estimate
percentile. - index(int) - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Marker
-
Sets the index of the marker.
- INDEX - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- INDEX_LARGER_THAN_MAX - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- INDEX_NOT_POSITIVE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- INDEX_OUT_OF_RANGE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- indexOf(int, int) - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
-
Returns the index (i, j) translated into the one-dimensional array used to store the upper triangular part of the symmetric covariance matrix.
- individualDistances - Variable in class org.apache.commons.math3.ml.neuralnet.twod.util.UnifiedDistanceMatrix
-
Whether to show distance between each pair of neighbouring units.
- individualDistances(NeuronSquareMesh2D) - Method in class org.apache.commons.math3.ml.neuralnet.twod.util.UnifiedDistanceMatrix
-
Computes the distances between a unit of the map and its neighbours.
- inducedPermutation(List<S>, List<S>) - Static method in class org.apache.commons.math3.genetics.RandomKey
-
Generates a representation of a permutation corresponding to a permutation which yields
permutedData
when applied tooriginalData
. - INF - Static variable in class org.apache.commons.math3.complex.Complex
-
A complex number representing "+INF + INFi"
- INFINITE - Static variable in class org.apache.commons.math3.dfp.Dfp
-
Indicator value for Infinity.
- INFINITE_ARRAY_ELEMENT - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- INFINITE_BOUND - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- INFINITE_VALUE_CONVERSION - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- INFINITE_WINDOW - Static variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Represents an infinite window size.
- init - Variable in class org.apache.commons.math3.optim.InitialGuess
-
Initial guess.
- init - Variable in class org.apache.commons.math3.optimization.InitialGuess
-
Deprecated.Initial guess.
- init - Variable in class org.apache.commons.math3.util.IntegerSequence.Incrementor
-
Initial value the counter.
- init() - Method in class org.apache.commons.math3.linear.SymmLQ.State
-
Performs the initial phase of the SYMMLQ algorithm.
- init(double, double[], double) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
-
Initialize step handler at the start of an ODE integration.
- init(double, double[], double) - Method in class org.apache.commons.math3.ode.events.EventFilter
-
Initialize event handler at the start of an ODE integration.
- init(double, double[], double) - Method in interface org.apache.commons.math3.ode.events.EventHandler
-
Initialize event handler at the start of an ODE integration.
- init(double, double[], double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator.NordsieckInitializer
-
Initialize step handler at the start of an ODE integration.
- init(double, double[], double) - Method in class org.apache.commons.math3.ode.sampling.DummyStepHandler
-
Initialize step handler at the start of an ODE integration.
- init(double, double[], double) - Method in interface org.apache.commons.math3.ode.sampling.FixedStepHandler
-
Initialize step handler at the start of an ODE integration.
- init(double, double[], double) - Method in interface org.apache.commons.math3.ode.sampling.StepHandler
-
Initialize step handler at the start of an ODE integration.
- init(double, double[], double) - Method in class org.apache.commons.math3.ode.sampling.StepNormalizer
-
Initialize step handler at the start of an ODE integration.
- init(FieldODEStateAndDerivative<T>, T) - Method in class org.apache.commons.math3.ode.ContinuousOutputFieldModel
-
Initialize step handler at the start of an ODE integration.
- init(FieldODEStateAndDerivative<T>, T) - Method in interface org.apache.commons.math3.ode.events.FieldEventHandler
-
Initialize event handler at the start of an ODE integration.
- init(FieldODEStateAndDerivative<T>, T) - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator.FieldNordsieckInitializer
-
Initialize step handler at the start of an ODE integration.
- init(FieldODEStateAndDerivative<T>, T) - Method in interface org.apache.commons.math3.ode.sampling.FieldFixedStepHandler
-
Initialize step handler at the start of an ODE integration.
- init(FieldODEStateAndDerivative<T>, T) - Method in interface org.apache.commons.math3.ode.sampling.FieldStepHandler
-
Initialize step handler at the start of an ODE integration.
- init(FieldODEStateAndDerivative<T>, T) - Method in class org.apache.commons.math3.ode.sampling.FieldStepNormalizer
-
Initialize step handler at the start of an ODE integration.
- init(T, T[], T) - Method in class org.apache.commons.math3.ode.FieldExpandableODE
-
Initialize equations at the start of an ODE integration.
- init(T, T[], T) - Method in interface org.apache.commons.math3.ode.FirstOrderFieldDifferentialEquations
-
Initialize equations at the start of an ODE integration.
- init(T, T[], T[], T) - Method in interface org.apache.commons.math3.ode.FieldSecondaryEquations
-
Initialize equations at the start of an ODE integration.
- initDirectionVector(int, int, int[]) - Method in class org.apache.commons.math3.random.SobolSequenceGenerator
-
Calculate the direction numbers from the given polynomial.
- initFromStream(InputStream) - Method in class org.apache.commons.math3.random.SobolSequenceGenerator
-
Load the direction vector for each dimension from the given stream.
- INITIAL_CAPACITY_NOT_POSITIVE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- INITIAL_COLUMN_AFTER_FINAL_COLUMN - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- INITIAL_ROW_AFTER_FINAL_ROW - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- initialBracketingRange - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.LineSearch
-
Extent of the initial interval used to find an interval that brackets the optimum.
- initialErrorCovMatrix - Variable in class org.apache.commons.math3.filter.DefaultProcessModel
-
The initial error covariance matrix of the observed process.
- initialFive - Variable in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
-
Initial list of 5 numbers corresponding to 5 markers.
- initialGuess - Variable in class org.apache.commons.math3.fitting.GaussianCurveFitter
-
Initial guess.
- initialGuess - Variable in class org.apache.commons.math3.fitting.HarmonicCurveFitter
-
Initial guess.
- initialGuess - Variable in class org.apache.commons.math3.fitting.PolynomialCurveFitter
-
Initial guess.
- initialGuess - Variable in class org.apache.commons.math3.fitting.SimpleCurveFitter
-
Initial guess for the parameters.
- InitialGuess - Class in org.apache.commons.math3.optim
-
Starting point (first guess) of the optimization procedure.
- InitialGuess - Class in org.apache.commons.math3.optimization
-
Deprecated.As of 3.1 (to be removed in 4.0).
- InitialGuess(double[]) - Constructor for class org.apache.commons.math3.optim.InitialGuess
- InitialGuess(double[]) - Constructor for class org.apache.commons.math3.optimization.InitialGuess
-
Deprecated.
- initialGuessIndex - Variable in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
-
Location in
BaseMultiStartMultivariateOptimizer.optimData
where the updated start value will be stored. - Initial guess of the solution - Search tag in class org.apache.commons.math3.linear.SymmLQ
- Section
- InitializationCompletedMarkerException() - Constructor for exception class org.apache.commons.math3.ode.MultistepFieldIntegrator.InitializationCompletedMarkerException
-
Simple constructor.
- InitializationCompletedMarkerException() - Constructor for exception class org.apache.commons.math3.ode.MultistepIntegrator.InitializationCompletedMarkerException
-
Simple constructor.
- initializationPerformed(IterationEvent) - Method in interface org.apache.commons.math3.util.IterationListener
-
Invoked after completion of the initial phase of the iterative algorithm (prior to the main iteration loop).
- initializeArrays() - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
Initialize the integrator internal arrays.
- initializeBasicVariables(int) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Initializes the basic variable / row mapping.
- initializeCMA(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Initialization of the dynamic search parameters
- initializeCMA(double[]) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Initialization of the dynamic search parameters
- initializeColumnLabels() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Initialize the labels for the columns.
- initializeColumnLabels() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Initialize the labels for the columns.
- initializeDerivatives - Variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolator
-
Deprecated.Whether to initialize internal data used to compute the analytical derivatives of the splines.
- initializeHighOrderDerivatives(double, double[], double[][], double[][]) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
-
Initialize the high order scaled derivatives at step start.
- initializeHighOrderDerivatives(double, double[], double[][], double[][]) - Method in interface org.apache.commons.math3.ode.MultistepIntegrator.NordsieckTransformer
-
Deprecated.Initialize the high order scaled derivatives at step start.
- initializeHighOrderDerivatives(double, double[], double[][], double[][]) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
-
Initialize the high order scaled derivatives at step start.
- initializeHighOrderDerivatives(double, double[], double[][], double[][]) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
-
Initialize the high order scaled derivatives at step start.
- initializeHighOrderDerivatives(T, T[], T[][], T[][]) - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator
-
Initialize the high order scaled derivatives at step start.
- initializeHighOrderDerivatives(T, T[], T[][], T[][]) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsFieldIntegrator
-
Initialize the high order scaled derivatives at step start.
- initializeHighOrderDerivatives(T, T[], T[][], T[][]) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckFieldTransformer
-
Initialize the high order scaled derivatives at step start.
- initializeMatrix(boolean) - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
-
Initialize the internal two-dimensional array of
StorelessBivariateCovariance
instances. - initializeMembershipMatrix() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
-
Initialize the membership matrix with random values.
- initializeStep(boolean, int, double[], double, double[], double[], double[], double[]) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Initialize the integration step.
- initializeStep(boolean, int, T[], FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
-
Initialize the integration step.
- initialStateEstimateVector - Variable in class org.apache.commons.math3.filter.DefaultProcessModel
-
The initial state estimation of the observed process.
- initialStep - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
-
User supplied initial step.
- initialStep - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
User supplied initial step.
- initialStep - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.BracketingStep
-
Deprecated.Initial step.
- initialStep - Variable in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
-
Deprecated.Initial step used to bracket the optimum in line search.
- initialStepBoundFactor - Variable in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
-
Positive input variable used in determining the initial step bound.
- initialStepBoundFactor - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Deprecated.Positive input variable used in determining the initial step bound.
- initialStepBoundFactor - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.Positive input variable used in determining the initial step bound.
- initialTime - Variable in class org.apache.commons.math3.ode.ContinuousOutputFieldModel
-
Initial integration time.
- initialTime - Variable in class org.apache.commons.math3.ode.ContinuousOutputModel
-
Initial integration time.
- initialTrustRegionRadius - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
initialTrustRegionRadius XXX
- initialTrustRegionRadius - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.initialTrustRegionRadius XXX
- initIntegration(double, double[], double) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Prepare the start of an integration.
- initIntegration(FieldExpandableODE<T>, T, T[], T) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Prepare the start of an integration.
- initQRStep(int, int, SchurTransformer.ShiftInfo, double[]) - Method in class org.apache.commons.math3.linear.SchurTransformer
-
Initialize the householder vectors for the QR step.
- initRan() - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Sets the default generator to a
Well19937c
generator seeded withSystem.currentTimeMillis() + System.identityHashCode(this))
. - initState() - Method in class org.apache.commons.math3.random.ISAACRandom
-
Initialize, or reinitialize, this instance of rand.
- innerCumulativeProbability(int, int, int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
For this distribution,
X
, this method returnsP(x0 <= X <= x1)
. - innerDistribution - Variable in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
-
EnumeratedDistribution
instance (using theInteger
wrapper) used to generate the pmf. - innerDistribution - Variable in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
-
EnumeratedDistribution
(using theDouble
wrapper) used to generate the pmf. - INPUT_ARRAY - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- INPUT_DATA_FROM_UNSUPPORTED_DATASOURCE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
-
Deprecated.
- inputArray - Variable in class org.apache.commons.math3.random.EmpiricalDistribution.ArrayDataAdapter
-
Array of input data values
- inputSigma - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
- inputSigma - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- inputStream - Variable in class org.apache.commons.math3.random.EmpiricalDistribution.StreamDataAdapter
-
Input stream providing access to the data
- insert(T) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
-
Deprecated.Insert an element in the tree.
- insert(T) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Deprecated.Insert an element in a sub-tree.
- insertCut(Hyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Insert a cut sub-hyperplane in a node.
- insertCuts(BSPTree<S>, Collection<SubHyperplane<S>>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Recursively build a tree by inserting cut sub-hyperplanes.
- insertEdges(double, BSPTree<Euclidean2D>, List<PolygonsSet.Edge>) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
-
Recursively build a tree by inserting cut sub-hyperplanes.
- insertEdges(double, BSPTree<Sphere2D>, List<Edge>) - Static method in class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
-
Recursively build a tree by inserting cut sub-hyperplanes.
- insertEquationData(double[], double[]) - Method in class org.apache.commons.math3.ode.EquationsMapper
-
Insert equation data into a complete state or derivative array.
- insertEquationData(int, T[], T[]) - Method in class org.apache.commons.math3.ode.FieldEquationsMapper
-
Insert equation data into a complete state or derivative array.
- insertInTree(BSPTree<S>, boolean) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Deprecated.as of 3.4, replaced with
BSPTree.insertInTree(BSPTree, boolean, VanishingCutHandler)
- insertInTree(BSPTree<S>, boolean, BSPTree.VanishingCutHandler<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Insert the instance into another tree.
- inside - Variable in class org.apache.commons.math3.geometry.partitioning.RegionFactory.VanishingToLeaf
-
Inside/outside indocator to use for ambiguous nodes.
- INSIDE - Enum constant in enum org.apache.commons.math3.geometry.partitioning.Region.Location
-
Code for points inside the partition.
- InsideFinder<S> - Class in org.apache.commons.math3.geometry.partitioning
-
Utility class checking if inside nodes can be found on the plus and minus sides of an hyperplane.
- InsideFinder(Region<S>) - Constructor for class org.apache.commons.math3.geometry.partitioning.InsideFinder
-
Simple constructor.
- insideQuadrilateral(Vector2D, List<Vector2D>) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.hull.AklToussaintHeuristic
-
Checks if the given point is located within the convex quadrilateral.
- insideSplitters - Variable in class org.apache.commons.math3.geometry.partitioning.Characterization
-
Nodes that were used to split the outside touching part.
- insideTouching - Variable in class org.apache.commons.math3.geometry.partitioning.Characterization
-
Part of the cut sub-hyperplane that touch inside cells.
- insideTouching() - Method in class org.apache.commons.math3.geometry.partitioning.Characterization
-
Get all the parts of the cut sub-hyperplane known to touch inside cells.
- INSTANCE - Static variable in class org.apache.commons.math3.complex.ComplexField.LazyHolder
-
Cached field instance.
- INSTANCE - Static variable in class org.apache.commons.math3.fraction.BigFractionField.LazyHolder
-
Cached field instance.
- INSTANCE - Static variable in class org.apache.commons.math3.fraction.FractionField.LazyHolder
-
Cached field instance.
- INSTANCE - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D.LazyHolder
-
Cached field instance.
- INSTANCE - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D.LazyHolder
-
Cached field instance.
- INSTANCE - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D.LazyHolder
-
Cached field instance.
- INSTANCE - Static variable in class org.apache.commons.math3.geometry.spherical.oned.Sphere1D.LazyHolder
-
Cached field instance.
- INSTANCE - Static variable in class org.apache.commons.math3.geometry.spherical.twod.Sphere2D.LazyHolder
-
Cached field instance.
- INSTANCE - Static variable in class org.apache.commons.math3.ode.sampling.DummyStepHandler.LazyHolder
-
Cached field instance.
- INSTANCE - Static variable in class org.apache.commons.math3.util.BigRealField.LazyHolder
-
Cached field instance.
- INSTANCE - Static variable in class org.apache.commons.math3.util.Decimal64Field
-
The unique instance of this class.
- INSTANCES_NOT_COMPARABLE_TO_EXISTING_VALUES - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- INSUFFICIENT_DATA - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- INSUFFICIENT_DATA_FOR_T_STATISTIC - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- INSUFFICIENT_DIMENSION - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- INSUFFICIENT_OBSERVED_POINTS_IN_SAMPLE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- INSUFFICIENT_ROWS_AND_COLUMNS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- InsufficientDataException - Exception Class in org.apache.commons.math3.exception
-
Exception to be thrown when there is insufficient data to perform a computation.
- InsufficientDataException() - Constructor for exception class org.apache.commons.math3.exception.InsufficientDataException
-
Construct the exception.
- InsufficientDataException(Localizable, Object...) - Constructor for exception class org.apache.commons.math3.exception.InsufficientDataException
-
Construct the exception with a specific context.
- IntDoublePair(double, int) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking.IntDoublePair
-
Construct an IntDoublePair with the given value and position.
- INTEGER_ZERO - Static variable in exception class org.apache.commons.math3.exception.MathIllegalNumberException
-
Helper to avoid boxing warnings.
- IntegerDistribution - Interface in org.apache.commons.math3.distribution
-
Interface for distributions on the integers.
- IntegerSequence - Class in org.apache.commons.math3.util
-
Provides a sequence of integers.
- IntegerSequence() - Constructor for class org.apache.commons.math3.util.IntegerSequence
-
Utility class contains only static methods.
- IntegerSequence.Incrementor - Class in org.apache.commons.math3.util
-
Utility that increments a counter until a maximum is reached, at which point, the instance will by default throw a
MaxCountExceededException
. - IntegerSequence.Incrementor.MaxCountExceededCallback - Interface in org.apache.commons.math3.util
-
Defines a method to be called at counter exhaustion.
- IntegerSequence.Range - Class in org.apache.commons.math3.util
-
Generates a sequence of integers.
- integralKolmogorovSmirnovStatistic(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Computes the two-sample Kolmogorov-Smirnov test statistic, \(D_{n,m}=\sup_x |F_n(x)-F_m(x)|\) where \(n\) is the length of
x
, \(m\) is the length ofy
, \(F_n\) is the empirical distribution that puts mass \(1/n\) at each of the values inx
and \(F_m\) is the empirical distribution of they
values. - integralMonteCarloP(long, int, int, int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Uses Monte Carlo simulation to approximate \(P(D_{n,m} >= d/(n*m))\) where \(D_{n,m}\) is the 2-sample Kolmogorov-Smirnov statistic.
- integrate(int, UnivariateFunction, double, double) - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Integrate the function in the given interval.
- integrate(int, UnivariateFunction, double, double) - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
-
Integrate the function in the given interval.
- integrate(UnivariateFunction) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
-
Returns an estimate of the integral of
f(x) * w(x)
, wherew
is a weight function that depends on the actual flavor of the Gauss integration scheme. - integrate(UnivariateFunction) - Method in class org.apache.commons.math3.analysis.integration.gauss.SymmetricGaussIntegrator
-
Returns an estimate of the integral of
f(x) * w(x)
, wherew
is a weight function that depends on the actual flavor of the Gauss integration scheme. - integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Integrate a set of differential equations up to the given time.
- integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsBashforthIntegrator
-
Integrate a set of differential equations up to the given time.
- integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
-
Integrate a set of differential equations up to the given time.
- integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator
-
Integrate a set of differential equations up to the given time.
- integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Integrate a set of differential equations up to the given time.
- integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Integrate a set of differential equations up to the given time.
- integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
Integrate a set of differential equations up to the given time.
- integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaIntegrator
-
Integrate a set of differential equations up to the given time.
- integrate(FieldExpandableODE<T>, FieldODEState<T>, T) - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator
-
Integrate the differential equations up to the given time.
- integrate(FieldExpandableODE<T>, FieldODEState<T>, T) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsBashforthFieldIntegrator
-
Integrate the differential equations up to the given time.
- integrate(FieldExpandableODE<T>, FieldODEState<T>, T) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsFieldIntegrator
-
Integrate the differential equations up to the given time.
- integrate(FieldExpandableODE<T>, FieldODEState<T>, T) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonFieldIntegrator
-
Integrate the differential equations up to the given time.
- integrate(FieldExpandableODE<T>, FieldODEState<T>, T) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
-
Integrate the differential equations up to the given time.
- integrate(FieldExpandableODE<T>, FieldODEState<T>, T) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaFieldIntegrator
-
Integrate the differential equations up to the given time.
- integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Integrate the differential equations up to the given time.
- integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in interface org.apache.commons.math3.ode.FirstOrderIntegrator
-
Integrate the differential equations up to the given time.
- integrate(SecondOrderDifferentialEquations, double, double[], double[], double, double[], double[]) - Method in interface org.apache.commons.math3.ode.SecondOrderIntegrator
-
Integrate the differential equations up to the given time
- INTEGRATION_METHOD_NEEDS_AT_LEAST_TWO_PREVIOUS_POINTS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- integrator - Variable in class org.apache.commons.math3.ode.nonstiff.RungeKuttaStepInterpolator
-
Reference to the integrator.
- INTERNAL_ERROR - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- internalArray - Variable in class org.apache.commons.math3.util.ResizableDoubleArray
-
The internal storage array.
- InternalData(double[][], int[], int, double[], double[], double[]) - Constructor for class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer.InternalData
- interpolate() - Method in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere
-
Interpolation.
- interpolate(double[][], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
-
Deprecated.Computes an interpolating function for the data set.
- interpolate(double[][], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereProjectionInterpolator
-
Computes an interpolating function for the data set.
- interpolate(double[][], double[]) - Method in interface org.apache.commons.math3.analysis.interpolation.MultivariateInterpolator
-
Computes an interpolating function for the data set.
- interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.AkimaSplineInterpolator
-
Computes an interpolating function for the data set.
- interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.DividedDifferenceInterpolator
-
Compute an interpolating function for the dataset.
- interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.LinearInterpolator
-
Computes a linear interpolating function for the data set.
- interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
-
Compute an interpolating function by performing a loess fit on the data at the original abscissae and then building a cubic spline with a
SplineInterpolator
on the resulting fit. - interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.NevilleInterpolator
-
Computes an interpolating function for the data set.
- interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.SplineInterpolator
-
Computes an interpolating function for the data set.
- interpolate(double[], double[]) - Method in interface org.apache.commons.math3.analysis.interpolation.UnivariateInterpolator
-
Compute an interpolating function for the dataset.
- interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator
-
Compute an interpolating function for the dataset.
- interpolate(double[], double[], double[][]) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicInterpolator
-
Compute an interpolating function for the dataset.
- interpolate(double[], double[], double[][]) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolator
-
Deprecated.Compute an interpolating function for the dataset.
- interpolate(double[], double[], double[][]) - Method in interface org.apache.commons.math3.analysis.interpolation.BivariateGridInterpolator
-
Compute an interpolating function for the dataset.
- interpolate(double[], double[], double[][]) - Method in class org.apache.commons.math3.analysis.interpolation.PiecewiseBicubicSplineInterpolator
-
Compute an interpolating function for the dataset.
- interpolate(double[], double[], double[][]) - Method in class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
-
Deprecated.Compute an interpolating function for the dataset.
- interpolate(double[], double[], double[], double[][][]) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicInterpolator
-
Compute an interpolating function for the dataset.
- interpolate(double[], double[], double[], double[][][]) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolator
-
Deprecated.Compute an interpolating function for the dataset.
- interpolate(double[], double[], double[], double[][][]) - Method in interface org.apache.commons.math3.analysis.interpolation.TrivariateGridInterpolator
-
Compute an interpolating function for the dataset.
- interpolatedDerivatives - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
interpolated derivatives
- interpolatedPrimaryDerivatives - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
interpolated primary derivatives
- interpolatedPrimaryState - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
interpolated primary state
- interpolatedSecondaryDerivatives - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
interpolated secondary derivatives
- interpolatedSecondaryState - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
interpolated secondary state
- interpolatedState - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
interpolated state
- interpolatedTime - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
interpolated time
- interpolateHermiteSorted(double[], double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.AkimaSplineInterpolator
-
Creates a Hermite cubic spline interpolation from the set of (x,y) value pairs and their derivatives.
- interpolateXAtY(WeightedObservedPoint[], int, int, double) - Method in class org.apache.commons.math3.fitting.GaussianCurveFitter.ParameterGuesser
-
Interpolates using the specified points to determine X at the specified Y.
- interpolateXAtY(WeightedObservedPoint[], int, int, double) - Method in class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
-
Deprecated.Interpolates using the specified points to determine X at the specified Y.
- interpolateXAtY(WeightedObservedPoint[], int, int, double) - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
-
Deprecated.Interpolates using the specified points to determine X at the specified Y.
- InterpolatingMicrosphere - Class in org.apache.commons.math3.analysis.interpolation
-
Utility class for the
MicrosphereProjectionInterpolator
algorithm. - InterpolatingMicrosphere(int, int, double, double, double) - Constructor for class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere
-
Create an unitialiazed sphere.
- InterpolatingMicrosphere(int, int, double, double, double, UnitSphereRandomVectorGenerator) - Constructor for class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere
-
Create a sphere from randomly sampled vectors.
- InterpolatingMicrosphere(InterpolatingMicrosphere) - Constructor for class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere
-
Copy constructor.
- InterpolatingMicrosphere.Facet - Class in org.apache.commons.math3.analysis.interpolation
-
Microsphere "facet" (surface element).
- InterpolatingMicrosphere.FacetData - Class in org.apache.commons.math3.analysis.interpolation
-
Data associated with each
InterpolatingMicrosphere.Facet
. - InterpolatingMicrosphere2D - Class in org.apache.commons.math3.analysis.interpolation
-
Utility class for the
MicrosphereProjectionInterpolator
algorithm. - InterpolatingMicrosphere2D(int, double, double, double) - Constructor for class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere2D
-
Create a sphere from vectors regularly sampled around a circle.
- InterpolatingMicrosphere2D(InterpolatingMicrosphere2D) - Constructor for class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere2D
-
Copy constructor.
- interpolationPoints - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Coordinates of the interpolation points relative to
BOBYQAOptimizer.originShift
. - interpolationPoints - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Coordinates of the interpolation points relative to
BOBYQAOptimizer.originShift
. - interpolator - Variable in class org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator
-
Interpolator.
- intersection(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Get the intersection point of the instance and another line.
- intersection(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Get the intersection of a line with the instance.
- intersection(Plane) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Build the line shared by the instance and another plane.
- intersection(Plane, Plane, Plane) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Get the intersection point of three planes.
- intersection(SubLine, boolean) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SubLine
-
Get the intersection of the instance and another sub-line.
- intersection(Line) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Get the intersection point of the instance and another line.
- intersection(SubLine, boolean) - Method in class org.apache.commons.math3.geometry.euclidean.twod.SubLine
-
Get the intersection of the instance and another sub-line.
- intersection(Region<S>, Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
-
Compute the intersection of two regions.
- intersection(SubHyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Get the parts of a sub-hyperplane that are contained in the region.
- intersection(SubHyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
-
Get the parts of a sub-hyperplane that are contained in the region.
- IntersectionMerger() - Constructor for class org.apache.commons.math3.geometry.partitioning.RegionFactory.IntersectionMerger
- Interval - Class in org.apache.commons.math3.geometry.euclidean.oned
-
This class represents a 1D interval.
- Interval(double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Interval
-
Simple constructor.
- IntervalsSet - Class in org.apache.commons.math3.geometry.euclidean.oned
-
This class represents a 1D region: a set of intervals.
- IntervalsSet() - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Deprecated.as of 3.1 replaced with
IntervalsSet(double)
- IntervalsSet(double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Build an intervals set representing the whole real line.
- IntervalsSet(double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Deprecated.as of 3.3 replaced with
IntervalsSet(double, double, double)
- IntervalsSet(double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Build an intervals set corresponding to a single interval.
- IntervalsSet(Collection<SubHyperplane<Euclidean1D>>) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Deprecated.as of 3.3, replaced with
IntervalsSet(Collection, double)
- IntervalsSet(Collection<SubHyperplane<Euclidean1D>>, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Build an intervals set from a Boundary REPresentation (B-rep).
- IntervalsSet(BSPTree<Euclidean1D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Deprecated.as of 3.3, replaced with
IntervalsSet(BSPTree, double)
- IntervalsSet(BSPTree<Euclidean1D>, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Build an intervals set from an inside/outside BSP tree.
- IntervalsSet.SubIntervalsIterator - Class in org.apache.commons.math3.geometry.euclidean.oned
-
Local iterator for sub-intervals.
- IntervalUtils - Class in org.apache.commons.math3.stat.interval
-
Factory methods to generate confidence intervals for a binomial proportion.
- IntervalUtils() - Constructor for class org.apache.commons.math3.stat.interval.IntervalUtils
-
Prevent instantiation.
- intLog10() - Method in class org.apache.commons.math3.dfp.Dfp
-
Get the exponent of the greatest power of 10 that is less than or equal to abs(this).
- intMarkerPosition - Variable in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Marker
-
The integral marker position.
- intValue() - Method in class org.apache.commons.math3.dfp.Dfp
-
Convert this to an integer.
- intValue() - Method in class org.apache.commons.math3.fraction.BigFraction
-
Gets the fraction as an
int
. - intValue() - Method in class org.apache.commons.math3.fraction.Fraction
-
Gets the fraction as an
int
. - intValue() - Method in class org.apache.commons.math3.util.Decimal64
-
The current implementation performs casting to a
int
. - INV_GAMMA1P_M1_A0 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
A0
defined inDGAM1
. - INV_GAMMA1P_M1_A1 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
A1
defined inDGAM1
. - INV_GAMMA1P_M1_B1 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
B1
defined inDGAM1
. - INV_GAMMA1P_M1_B2 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
B2
defined inDGAM1
. - INV_GAMMA1P_M1_B3 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
B3
defined inDGAM1
. - INV_GAMMA1P_M1_B4 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
B4
defined inDGAM1
. - INV_GAMMA1P_M1_B5 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
B5
defined inDGAM1
. - INV_GAMMA1P_M1_B6 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
B6
defined inDGAM1
. - INV_GAMMA1P_M1_B7 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
B7
defined inDGAM1
. - INV_GAMMA1P_M1_B8 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
B8
defined inDGAM1
. - INV_GAMMA1P_M1_C - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
C
defined inDGAM1
. - INV_GAMMA1P_M1_C0 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
C0
defined inDGAM1
. - INV_GAMMA1P_M1_C1 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
C1
defined inDGAM1
. - INV_GAMMA1P_M1_C10 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
C10
defined inDGAM1
. - INV_GAMMA1P_M1_C11 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
C11
defined inDGAM1
. - INV_GAMMA1P_M1_C12 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
C12
defined inDGAM1
. - INV_GAMMA1P_M1_C13 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
C13
defined inDGAM1
. - INV_GAMMA1P_M1_C2 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
C2
defined inDGAM1
. - INV_GAMMA1P_M1_C3 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
C3
defined inDGAM1
. - INV_GAMMA1P_M1_C4 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
C4
defined inDGAM1
. - INV_GAMMA1P_M1_C5 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
C5
defined inDGAM1
. - INV_GAMMA1P_M1_C6 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
C6
defined inDGAM1
. - INV_GAMMA1P_M1_C7 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
C7
defined inDGAM1
. - INV_GAMMA1P_M1_C8 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
C8
defined inDGAM1
. - INV_GAMMA1P_M1_C9 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
C9
defined inDGAM1
. - INV_GAMMA1P_M1_P0 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
P0
defined inDGAM1
. - INV_GAMMA1P_M1_P1 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
P1
defined inDGAM1
. - INV_GAMMA1P_M1_P2 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
P2
defined inDGAM1
. - INV_GAMMA1P_M1_P3 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
P3
defined inDGAM1
. - INV_GAMMA1P_M1_P4 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
P4
defined inDGAM1
. - INV_GAMMA1P_M1_P5 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
P5
defined inDGAM1
. - INV_GAMMA1P_M1_P6 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
P6
defined inDGAM1
. - INV_GAMMA1P_M1_Q1 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
Q1
defined inDGAM1
. - INV_GAMMA1P_M1_Q2 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
Q2
defined inDGAM1
. - INV_GAMMA1P_M1_Q3 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
Q3
defined inDGAM1
. - INV_GAMMA1P_M1_Q4 - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant
Q4
defined inDGAM1
. - INVALID_BINARY_CHROMOSOME - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- INVALID_BINARY_DIGIT - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- INVALID_BRACKETING_PARAMETERS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- INVALID_FIXED_LENGTH_CHROMOSOME - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- INVALID_IMPLEMENTATION - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- INVALID_INTERVAL_INITIAL_VALUE_PARAMETERS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- INVALID_ITERATIONS_LIMITS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- INVALID_MAX_ITERATIONS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- INVALID_REGRESSION_ARRAY - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- INVALID_REGRESSION_OBSERVATION - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- INVALID_ROUNDING_METHOD - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- InvalidRepresentationException - Exception Class in org.apache.commons.math3.genetics
-
Exception indicating that the representation of a chromosome is not valid.
- InvalidRepresentationException(Localizable, Object...) - Constructor for exception class org.apache.commons.math3.genetics.InvalidRepresentationException
-
Construct an InvalidRepresentationException with a specialized message.
- inverse() - Method in class org.apache.commons.math3.linear.DiagonalMatrix
-
Computes the inverse of this diagonal matrix.
- inverse(double) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
-
Computes the inverse of this diagonal matrix.
- inverse(double[], int) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
This internal method calculates the inverse of the upper-triangular portion of the R matrix.
- inverse(int[]) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
- inverse(int[]) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- inverse(RealMatrix) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Computes the inverse of the given matrix.
- inverse(RealMatrix, double) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Computes the inverse of the given matrix.
- Inverse - Class in org.apache.commons.math3.analysis.function
-
Inverse function.
- Inverse() - Constructor for class org.apache.commons.math3.analysis.function.Inverse
- INVERSE - Enum constant in enum org.apache.commons.math3.transform.TransformType
-
The type to be specified for inverse transforms.
- inverseAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.NakagamiDistribution
-
Inverse cumulative probability accuracy.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.CauchyDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.GeometricDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.GumbelDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.LaplaceDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.LevyDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.LogisticDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in interface org.apache.commons.math3.distribution.RealDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.TriangularDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.WeibullDistribution
-
Computes the quantile function of this distribution.
- inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Computes the quantile function of this distribution.
- invGamma1pm1(double) - Static method in class org.apache.commons.math3.special.Gamma
-
Returns the value of 1 / Γ(1 + x) - 1 for -0.5 ≤ x ≤ 1.5.
- iRm1 - Variable in class org.apache.commons.math3.random.AbstractWell
-
Index indirection table giving for each index its predecessor taking table size into account.
- iRm2 - Variable in class org.apache.commons.math3.random.AbstractWell
-
Index indirection table giving for each index its second predecessor taking table size into account.
- is - Variable in class org.apache.commons.math3.analysis.function.Gaussian
-
Inverse of the standard deviation.
- isaac() - Method in class org.apache.commons.math3.random.ISAACRandom
-
Generate 256 results
- isaac2() - Method in class org.apache.commons.math3.random.ISAACRandom
-
Intermediate internal loop.
- isaac3() - Method in class org.apache.commons.math3.random.ISAACRandom
-
Lowest level internal loop.
- isaacA - Variable in class org.apache.commons.math3.random.ISAACRandom
-
Accumulator
- isaacB - Variable in class org.apache.commons.math3.random.ISAACRandom
-
The last result
- isaacC - Variable in class org.apache.commons.math3.random.ISAACRandom
-
Counter, guarantees cycle is at least 2^40
- isaacI - Variable in class org.apache.commons.math3.random.ISAACRandom
-
Service variable.
- isaacJ - Variable in class org.apache.commons.math3.random.ISAACRandom
-
Service variable.
- ISAACRandom - Class in org.apache.commons.math3.random
-
ISAAC: a fast cryptographic pseudo-random number generator
ISAAC (Indirection, Shift, Accumulate, Add, and Count) generates 32-bit random numbers. - ISAACRandom() - Constructor for class org.apache.commons.math3.random.ISAACRandom
-
Creates a new ISAAC random number generator.
- ISAACRandom(int[]) - Constructor for class org.apache.commons.math3.random.ISAACRandom
-
Creates a new ISAAC random number generator using an int array seed.
- ISAACRandom(long) - Constructor for class org.apache.commons.math3.random.ISAACRandom
-
Creates a new ISAAC random number generator using a single long seed.
- isaacX - Variable in class org.apache.commons.math3.random.ISAACRandom
-
Service variable.
- isActiveCMA - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Covariance update mechanism, default is active CMA.
- isActiveCMA - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Covariance update mechanism, default is active CMA.
- isAfterParent(BSPTree<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Check if a node is the child after its parent in ascending order.
- isAfterParent(BSPTree<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
-
Check if a node is the child after its parent in trigonometric order.
- isArcEnd(BSPTree<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
-
Check if an internal node corresponds to the end angle of an arc.
- isArcStart(BSPTree<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
-
Check if an internal node corresponds to the start angle of an arc.
- isBeforeParent(BSPTree<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Check if a node is the child before its parent in ascending order.
- isBeforeParent(BSPTree<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
-
Check if a node is the child before its parent in trigonometric order.
- isBetterScore(double, double) - Method in class org.apache.commons.math3.ml.clustering.evaluation.ClusterEvaluator
-
Returns whether the first evaluation score is considered to be better than the second one by this evaluator.
- isBetween(double, double, double) - Method in class org.apache.commons.math3.fitting.GaussianCurveFitter.ParameterGuesser
-
Determines whether a value is between two other values.
- isBetween(double, double, double) - Method in class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
-
Deprecated.Determines whether a value is between two other values.
- isBetween(double, double, double) - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
-
Deprecated.Determines whether a value is between two other values.
- isBiasCorrected - Variable in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Whether or not bias correction is applied when computing the value of the statistic.
- isBiasCorrected - Variable in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
-
Indicator for bias correction.
- isBiasCorrected() - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Returns true iff biasCorrected property is set to true.
- isBiasCorrected() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
- isBiasCorrected() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
- isBracketing(double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Check whether the function takes opposite signs at the endpoints.
- isBracketing(UnivariateFunction, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
-
Check whether the interval bounds bracket a root.
- isConvex(Vector2D[]) - Method in class org.apache.commons.math3.geometry.euclidean.twod.hull.ConvexHull2D
-
Checks whether the given hull vertices form a convex hull.
- isCounterClockWise - Variable in class org.apache.commons.math3.complex.RootsOfUnity
- isCounterClockWise() - Method in class org.apache.commons.math3.complex.RootsOfUnity
- isDefaultValue(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Determine if this value is within epsilon of zero.
- isDirect() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
-
Check if the hyperplane orientation is direct.
- isDirect() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
-
Check if the hyperplane orientation is direct.
- isDirect(BSPTree<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Check if an internal node has a direct oriented point.
- isDirect(BSPTree<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
-
Check if an internal node has a direct limit angle.
- isEmpty() - Method in class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint
-
Check if the instance is empty.
- isEmpty() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Check if the instance is empty.
- isEmpty() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
-
Check if the instance is empty.
- isEmpty() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
-
Check if the instance is empty.
- isEmpty() - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
-
Check if the instance is empty.
- isEmpty() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
-
Deprecated.Check if the tree is empty.
- isEmpty() - Method in class org.apache.commons.math3.geometry.spherical.oned.SubLimitAngle
-
Check if the instance is empty.
- isEmpty(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Check if the sub-tree starting at a given node is empty.
- isEmpty(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
-
Check if the sub-tree starting at a given node is empty.
- isEstimateBad(double[], double) - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Marker
-
Check if parabolic/nonlinear estimate is bad by checking if the ordinate found is beyond the y[0] and y[2].
- isFeasible(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.FitnessFunction
- isFeasible(double[]) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.FitnessFunction
-
Deprecated.
- isForward() - Method in class org.apache.commons.math3.ode.sampling.AbstractFieldStepInterpolator
-
Check if the natural integration direction is forward.
- isForward() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Check if the natural integration direction is forward.
- isForward() - Method in interface org.apache.commons.math3.ode.sampling.FieldStepInterpolator
-
Check if the natural integration direction is forward.
- isForward() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
-
Check if the natural integration direction is forward.
- isFull() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Check if the instance covers the full space.
- isFull() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
-
Check if the instance covers the full space.
- isFull(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Check if the sub-tree starting at a given node covers the full space.
- isFull(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
-
Check if the sub-tree starting at a given node covers the full space.
- isIncludeCollinearPoints() - Method in class org.apache.commons.math3.geometry.euclidean.twod.hull.AbstractConvexHullGenerator2D
-
Returns if collinear points on the hull will be added as hull vertices.
- isInfinite - Variable in class org.apache.commons.math3.complex.Complex
-
Record whether this complex number is infinite.
- isInfinite() - Method in class org.apache.commons.math3.complex.Complex
-
Checks whether either the real or imaginary part of this complex number takes an infinite value (either
Double.POSITIVE_INFINITY
orDouble.NEGATIVE_INFINITY
) and neither part isNaN
. - isInfinite() - Method in class org.apache.commons.math3.dfp.Dfp
-
Check if instance is infinite.
- isInfinite() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise
- isInfinite() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise
- isInfinite() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise
- isInfinite() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise
- isInfinite() - Method in interface org.apache.commons.math3.geometry.Vector
-
Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise
- isInfinite() - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Check whether any coordinate of this vector is infinite and none are
NaN
. - isInfinite() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Check whether any coordinate of this vector is infinite and none are
NaN
. - isInfinite() - Method in class org.apache.commons.math3.linear.RealVector
-
Check whether any coordinate of this vector is infinite and none are
NaN
. - isInfinite() - Method in class org.apache.commons.math3.util.Decimal64
-
Returns
true
ifthis
double precision number is infinite (Double.POSITIVE_INFINITY
orDouble.NEGATIVE_INFINITY
). - isIntervalEnd(BSPTree<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Check if an internal node corresponds to the end abscissa of an interval.
- isIntervalStart(BSPTree<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Check if an internal node corresponds to the start abscissa of an interval.
- isLastStep - Variable in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Indicator for last step.
- isLastStep - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
-
Indicator for last step.
- isLastStep() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Check if this step is the last one.
- isLoaded() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Property indicating whether or not the distribution has been loaded.
- isMinimize - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Goal type (minimize or maximize).
- isMinimize - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Number of objective variables/problem dimension
- isMinimize - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Goal type (minimize or maximize).
- isMinimize - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Number of objective variables/problem dimension
- isMonotonic(double[], MathArrays.OrderDirection, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
-
Check that an array is monotonically increasing or decreasing.
- isMonotonic(T[], MathArrays.OrderDirection, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
-
Check that an array is monotonically increasing or decreasing.
- isNaN - Variable in class org.apache.commons.math3.complex.Complex
-
Record whether this complex number is equal to NaN.
- isNaN() - Method in class org.apache.commons.math3.complex.Complex
-
Checks whether either or both parts of this complex number is
NaN
. - isNaN() - Method in class org.apache.commons.math3.dfp.Dfp
-
Check if instance is not a number.
- isNaN() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Returns true if any coordinate of this point is NaN; false otherwise
- isNaN() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Returns true if any coordinate of this vector is NaN; false otherwise
- isNaN() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Returns true if any coordinate of this point is NaN; false otherwise
- isNaN() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Returns true if any coordinate of this point is NaN; false otherwise
- isNaN() - Method in interface org.apache.commons.math3.geometry.Point
-
Returns true if any coordinate of this point is NaN; false otherwise
- isNaN() - Method in class org.apache.commons.math3.geometry.spherical.oned.S1Point
-
Returns true if any coordinate of this point is NaN; false otherwise
- isNaN() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
-
Returns true if any coordinate of this point is NaN; false otherwise
- isNaN() - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Check if any coordinate of this vector is
NaN
. - isNaN() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Check whether any coordinate of this vector is
NaN
. - isNaN() - Method in class org.apache.commons.math3.linear.RealVector
-
Check whether any coordinate of this vector is
NaN
. - isNaN() - Method in class org.apache.commons.math3.util.Decimal64
-
Returns
true
ifthis
double precision number is Not-a-Number (NaN
), false otherwise. - isNextInStep(double, StepInterpolator) - Method in class org.apache.commons.math3.ode.sampling.StepNormalizer
-
Returns a value indicating whether the next normalized time is in the current step.
- isNextInStep(T, FieldStepInterpolator<T>) - Method in class org.apache.commons.math3.ode.sampling.FieldStepNormalizer
-
Returns a value indicating whether the next normalized time is in the current step.
- isNoIntercept() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
- isNonSingular() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition.Solver
-
Check if the decomposed matrix is non-singular.
- isNonSingular() - Method in interface org.apache.commons.math3.linear.DecompositionSolver
-
Check if the decomposed matrix is non-singular.
- isNonSingular() - Method in class org.apache.commons.math3.linear.EigenDecomposition.Solver
-
Checks whether the decomposed matrix is non-singular.
- isNonSingular() - Method in interface org.apache.commons.math3.linear.FieldDecompositionSolver
-
Check if the decomposed matrix is non-singular.
- isNonSingular() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition.Solver
-
Check if the decomposed matrix is non-singular.
- isNonSingular() - Method in class org.apache.commons.math3.linear.LUDecomposition.Solver
-
Check if the decomposed matrix is non-singular.
- isNonSingular() - Method in class org.apache.commons.math3.linear.QRDecomposition.Solver
-
Check if the decomposed matrix is non-singular.
- isNonSingular() - Method in class org.apache.commons.math3.linear.RRQRDecomposition.Solver
-
Check if the decomposed matrix is non-singular.
- isNonSingular() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition.Solver
-
Check if the decomposed matrix is non-singular.
- isOptimal() - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Returns whether the problem is at an optimal state.
- isOptimal() - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Returns whether the problem is at an optimal state.
- isParallelTo(Line) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Check the instance is parallel to another line.
- isPowerOfTwo(long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Returns true if the argument is a power of two.
- isPrime(int) - Static method in class org.apache.commons.math3.primes.Primes
-
Primality test: tells if the argument is a (provable) prime or not.
- isProcessed() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.ConnectableSegment
-
Check if the segment has been processed.
- isPureQuaternion(double) - Method in class org.apache.commons.math3.complex.Quaternion
-
Checks whether the instance is a pure quaternion within a given tolerance.
- isRandomStart() - Method in class org.apache.commons.math3.genetics.CycleCrossover
-
Returns whether the starting index is chosen randomly or set to zero.
- isRepairMode - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.FitnessFunction
-
Flag indicating whether the objective variables are forced into their bounds if defined
- isRepairMode - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.FitnessFunction
-
Deprecated.Flag indicating whether the objective variables are forced into their bounds if defined
- isRestricted - Variable in class org.apache.commons.math3.optim.linear.NonNegativeConstraint
-
Whether the variables are all positive.
- isRestrictedToNonNegative() - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer
- isRestrictedToNonNegative() - Method in class org.apache.commons.math3.optim.linear.NonNegativeConstraint
-
Indicates whether all the variables must be restricted to non-negative values.
- isRoot(double, double, Complex) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver.ComplexSolver
-
Check whether the given complex root is actually a real zero in the given interval, within the solver tolerance level.
- isSame(Chromosome) - Method in class org.apache.commons.math3.genetics.BinaryChromosome
-
Returns
true
iffanother
has the same representation and therefore the same fitness. - isSame(Chromosome) - Method in class org.apache.commons.math3.genetics.Chromosome
-
Returns
true
iffanother
has the same representation and therefore the same fitness. - isSame(Chromosome) - Method in class org.apache.commons.math3.genetics.RandomKey
-
Returns
true
iffanother
is a RandomKey and encodes the same permutation. - isSatisfied(Population) - Method in class org.apache.commons.math3.genetics.FixedElapsedTime
-
Determine whether or not the maximum allowed time has passed.
- isSatisfied(Population) - Method in class org.apache.commons.math3.genetics.FixedGenerationCount
-
Determine whether or not the given number of generations have passed.
- isSatisfied(Population) - Method in interface org.apache.commons.math3.genetics.StoppingCondition
-
Determine whether or not the given population satisfies the stopping condition.
- isSequence(double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Check whether the arguments form a (strictly) increasing sequence.
- isSequence(double, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
-
Check whether the arguments form a (strictly) increasing sequence.
- isSimilarTo(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Check if the instance is similar to another line.
- isSimilarTo(Plane) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Check if the instance is similar to another plane.
- isSingular(double) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
-
Returns whether this diagonal matrix is singular, i.e.
- isSolutionOptimal() - Method in class org.apache.commons.math3.optim.linear.SolutionCallback
-
Returns if the found solution is optimal.
- isSquare() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Is this a square matrix?
- isSquare() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Is this a square matrix?
- isSquare() - Method in interface org.apache.commons.math3.linear.AnyMatrix
-
Is this a square matrix?
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.BetaDistribution
-
Use this method to get information about whether the support is connected, i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
-
Use this method to get information about whether the support is connected, i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
-
Use this method to get information about whether the support is connected, i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Use this method to get information about whether the support is connected, i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution
-
Use this method to get information about whether the support is connected, i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
-
Use this method to get information about whether the support is connected, i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
-
Use this method to get information about whether the support is connected, i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
-
Use this method to get information about whether the support is connected, i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.FDistribution
-
Use this method to get information about whether the support is connected, i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.GammaDistribution
-
Use this method to get information about whether the support is connected, i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.GeometricDistribution
-
Use this method to get information about whether the support is connected, i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.GumbelDistribution
-
Use this method to get information about whether the support is connected, i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
Use this method to get information about whether the support is connected, i.e.
- isSupportConnected() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
-
Use this method to get information about whether the support is connected, i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.LaplaceDistribution
-
Use this method to get information about whether the support is connected, i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.LevyDistribution
-
Use this method to get information about whether the support is connected, i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.LogisticDistribution
-
Use this method to get information about whether the support is connected, i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
-
Use this method to get information about whether the support is connected, i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.NakagamiDistribution
-
Use this method to get information about whether the support is connected, i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.NormalDistribution
-
Use this method to get information about whether the support is connected, i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
-
Use this method to get information about whether the support is connected, i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.PascalDistribution
-
Use this method to get information about whether the support is connected, i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
-
Use this method to get information about whether the support is connected, i.e.
- isSupportConnected() - Method in interface org.apache.commons.math3.distribution.RealDistribution
-
Use this method to get information about whether the support is connected, i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.TDistribution
-
Use this method to get information about whether the support is connected, i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
-
Use this method to get information about whether the support is connected, i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
-
Use this method to get information about whether the support is connected, i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
-
Use this method to get information about whether the support is connected, i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
-
Use this method to get information about whether the support is connected, i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
-
Use this method to get information about whether the support is connected, i.e.
- isSupportConnected() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Use this method to get information about whether the support is connected, i.e.
- isSupported(String) - Method in class org.apache.commons.math3.ode.AbstractParameterizable
-
Check if a parameter is supported.
- isSupported(String) - Method in interface org.apache.commons.math3.ode.Parameterizable
-
Check if a parameter is supported.
- isSupported(String) - Method in class org.apache.commons.math3.ode.ParameterizedWrapper
-
Check if a parameter is supported.
- isSupported(String) - Method in class org.apache.commons.math3.ode.ParameterJacobianWrapper
-
Check if a parameter is supported.
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.BetaDistribution
-
Whether or not the lower bound of support is in the domain of the density function.
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
-
Whether or not the lower bound of support is in the domain of the density function.
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Whether or not the lower bound of support is in the domain of the density function.
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution
-
Whether or not the lower bound of support is in the domain of the density function.
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
-
Whether or not the lower bound of support is in the domain of the density function.
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
-
Whether or not the lower bound of support is in the domain of the density function.
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.FDistribution
-
Whether or not the lower bound of support is in the domain of the density function.
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.GammaDistribution
-
Whether or not the lower bound of support is in the domain of the density function.
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.GumbelDistribution
-
Whether or not the lower bound of support is in the domain of the density function.
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.LaplaceDistribution
-
Whether or not the lower bound of support is in the domain of the density function.
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.LevyDistribution
-
Whether or not the lower bound of support is in the domain of the density function.
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.LogisticDistribution
-
Whether or not the lower bound of support is in the domain of the density function.
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
-
Whether or not the lower bound of support is in the domain of the density function.
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.NakagamiDistribution
-
Whether or not the lower bound of support is in the domain of the density function.
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.NormalDistribution
-
Whether or not the lower bound of support is in the domain of the density function.
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
-
Whether or not the lower bound of support is in the domain of the density function.
- isSupportLowerBoundInclusive() - Method in interface org.apache.commons.math3.distribution.RealDistribution
-
Deprecated.to be removed in 4.0
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.TDistribution
-
Whether or not the lower bound of support is in the domain of the density function.
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
-
Whether or not the lower bound of support is in the domain of the density function.
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
-
Whether or not the lower bound of support is in the domain of the density function.
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
-
Whether or not the lower bound of support is in the domain of the density function.
- isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Whether or not the lower bound of support is in the domain of the density function.
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.BetaDistribution
-
Whether or not the upper bound of support is in the domain of the density function.
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
-
Whether or not the upper bound of support is in the domain of the density function.
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Whether or not the upper bound of support is in the domain of the density function.
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution
-
Whether or not the upper bound of support is in the domain of the density function.
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
-
Whether or not the upper bound of support is in the domain of the density function.
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
-
Whether or not the upper bound of support is in the domain of the density function.
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.FDistribution
-
Whether or not the upper bound of support is in the domain of the density function.
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.GammaDistribution
-
Whether or not the upper bound of support is in the domain of the density function.
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.GumbelDistribution
-
Whether or not the upper bound of support is in the domain of the density function.
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.LaplaceDistribution
-
Whether or not the upper bound of support is in the domain of the density function.
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.LevyDistribution
-
Whether or not the upper bound of support is in the domain of the density function.
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.LogisticDistribution
-
Whether or not the upper bound of support is in the domain of the density function.
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
-
Whether or not the upper bound of support is in the domain of the density function.
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.NakagamiDistribution
-
Whether or not the upper bound of support is in the domain of the density function.
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.NormalDistribution
-
Whether or not the upper bound of support is in the domain of the density function.
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
-
Whether or not the upper bound of support is in the domain of the density function.
- isSupportUpperBoundInclusive() - Method in interface org.apache.commons.math3.distribution.RealDistribution
-
Deprecated.to be removed in 4.0
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.TDistribution
-
Whether or not the upper bound of support is in the domain of the density function.
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
-
Whether or not the upper bound of support is in the domain of the density function.
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
-
Whether or not the upper bound of support is in the domain of the density function.
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
-
Whether or not the upper bound of support is in the domain of the density function.
- isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Whether or not the upper bound of support is in the domain of the density function.
- isSymmetric - Variable in class org.apache.commons.math3.linear.EigenDecomposition
-
Whether the matrix is symmetric.
- isSymmetric(RealMatrix, double) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Checks whether a matrix is symmetric.
- isSymmetricInternal(RealMatrix, double, boolean) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Checks whether a matrix is symmetric, within a given relative tolerance.
- isSymmetricVCD - Variable in class org.apache.commons.math3.stat.regression.RegressionResults
-
boolean flag for variance covariance matrix in symm compressed storage
- isTransposable() - Method in class org.apache.commons.math3.linear.RealLinearOperator
-
Returns
true
if this operator supportsRealLinearOperator.operateTranspose(RealVector)
. - isUnitQuaternion(double) - Method in class org.apache.commons.math3.complex.Quaternion
-
Checks whether the instance is a unit quaternion within a given tolerance.
- isUpperBiDiagonal() - Method in class org.apache.commons.math3.linear.BiDiagonalTransformer
-
Check if the matrix is transformed to upper bi-diagonal.
- isValidPivotColumn(SimplexTableau, int) - Method in class org.apache.commons.math3.optim.linear.SimplexSolver
-
Checks whether the given column is valid pivot column, i.e.
- isValidPoint(double) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
-
Indicates whether a point is within the interpolation range.
- isValidPoint(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicInterpolatingFunction
-
Indicates whether a point is within the interpolation range.
- isValidPoint(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
-
Deprecated.Indicates whether a point is within the interpolation range.
- isValidPoint(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.PiecewiseBicubicSplineInterpolatingFunction
-
Indicates whether a point is within the interpolation range.
- isValidPoint(double, double, double) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicInterpolatingFunction
-
Indicates whether a point is within the interpolation range.
- isZero() - Method in class org.apache.commons.math3.dfp.Dfp
-
Check if instance is equal to zero.
- iter - Variable in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapEntry
-
Iterator pointing to the entry.
- iter - Variable in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapSparseIterator
-
Underlying iterator.
- iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
Compute the next simplex of the algorithm.
- iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
-
Compute the next simplex of the algorithm.
- iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
-
Compute the next simplex of the algorithm.
- iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.Compute the next simplex of the algorithm.
- iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
-
Deprecated.Compute the next simplex of the algorithm.
- iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
-
Deprecated.Compute the next simplex of the algorithm.
- ITERATION_CHECK_DISABLED - Static variable in class org.apache.commons.math3.optim.SimplePointChecker
-
If
SimplePointChecker.maxIterationCount
is set to this value, the number of iterations will never causeSimplePointChecker.converged(int, Pair, Pair)
to returntrue
. - ITERATION_CHECK_DISABLED - Static variable in class org.apache.commons.math3.optim.SimpleValueChecker
-
If
SimpleValueChecker.maxIterationCount
is set to this value, the number of iterations will never causeSimpleValueChecker.converged(int,PointValuePair,PointValuePair)
to returntrue
. - ITERATION_CHECK_DISABLED - Static variable in class org.apache.commons.math3.optim.SimpleVectorValueChecker
-
If
SimpleVectorValueChecker.maxIterationCount
is set to this value, the number of iterations will never causeSimpleVectorValueChecker.converged(int,PointVectorValuePair,PointVectorValuePair)
to returntrue
. - ITERATION_CHECK_DISABLED - Static variable in class org.apache.commons.math3.optim.univariate.SimpleUnivariateValueChecker
-
If
SimpleUnivariateValueChecker.maxIterationCount
is set to this value, the number of iterations will never causeSimpleUnivariateValueChecker.converged(int,UnivariatePointValuePair,UnivariatePointValuePair)
to returntrue
. - ITERATION_CHECK_DISABLED - Static variable in class org.apache.commons.math3.optimization.SimplePointChecker
-
Deprecated.If
SimplePointChecker.maxIterationCount
is set to this value, the number of iterations will never causeSimplePointChecker.converged(int, Pair, Pair)
to returntrue
. - ITERATION_CHECK_DISABLED - Static variable in class org.apache.commons.math3.optimization.SimpleValueChecker
-
Deprecated.If
SimpleValueChecker.maxIterationCount
is set to this value, the number of iterations will never causeSimpleValueChecker.converged(int,PointValuePair,PointValuePair)
to returntrue
. - ITERATION_CHECK_DISABLED - Static variable in class org.apache.commons.math3.optimization.SimpleVectorValueChecker
-
Deprecated.If
SimpleVectorValueChecker.maxIterationCount
is set to this value, the number of iterations will never causeSimpleVectorValueChecker.converged(int,PointVectorValuePair,PointVectorValuePair)
to returntrue
. - ITERATION_CHECK_DISABLED - Static variable in class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker
-
Deprecated.If
SimpleUnivariateValueChecker.maxIterationCount
is set to this value, the number of iterations will never causeSimpleUnivariateValueChecker.converged(int,UnivariatePointValuePair,UnivariatePointValuePair)
to returntrue
. - Iteration count - Search tag in class org.apache.commons.math3.linear.ConjugateGradient
- Section
- Iteration count - Search tag in class org.apache.commons.math3.linear.SymmLQ
- Section
- IterationEvent - Class in org.apache.commons.math3.util
-
The root class from which all events occurring while running an
IterationManager
should be derived. - IterationEvent(Object, int) - Constructor for class org.apache.commons.math3.util.IterationEvent
-
Creates a new instance of this class.
- IterationListener - Interface in org.apache.commons.math3.util
-
The listener interface for receiving events occurring in an iterative algorithm.
- IterationManager - Class in org.apache.commons.math3.util
-
This abstract class provides a general framework for managing iterative algorithms.
- IterationManager(int) - Constructor for class org.apache.commons.math3.util.IterationManager
-
Creates a new instance of this class.
- IterationManager(int, Incrementor.MaxCountExceededCallback) - Constructor for class org.apache.commons.math3.util.IterationManager
-
Deprecated.
- IterationManager(int, IntegerSequence.Incrementor.MaxCountExceededCallback) - Constructor for class org.apache.commons.math3.util.IterationManager
-
Creates a new instance of this class.
- iterationOrder - Variable in class org.apache.commons.math3.util.Combinations
-
Iteration order.
- IterationOrder() - Constructor for enum org.apache.commons.math3.util.Combinations.IterationOrder
- iterationPerformed(IterationEvent) - Method in interface org.apache.commons.math3.util.IterationListener
-
Invoked each time an iteration is completed (in the main iteration loop).
- iterations - Variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Deprecated.as of 3.6, this field has been replaced with
BaseAbstractUnivariateIntegrator.incrementCount()
- iterations - Variable in class org.apache.commons.math3.fitting.leastsquares.OptimumImpl
-
number of iterations to compute this optimum
- iterations - Variable in class org.apache.commons.math3.optim.BaseOptimizer
-
Iterations counter.
- iterations - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Number of iterations already performed.
- iterations - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Number of iterations already performed.
- iterations - Variable in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
-
Deprecated.Number of iterations already performed.
- iterations - Variable in class org.apache.commons.math3.util.IterationEvent
-
The number of iterations performed so far.
- iterations - Variable in class org.apache.commons.math3.util.IterationManager
-
Keeps a count of the number of iterations.
- ITERATIONS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- iterationStarted(IterationEvent) - Method in interface org.apache.commons.math3.util.IterationListener
-
Invoked each time a new iteration is completed (in the main iteration loop).
- IterativeLegendreGaussIntegrator - Class in org.apache.commons.math3.analysis.integration
-
This algorithm divides the integration interval into equally-sized sub-interval and on each of them performs a Legendre-Gauss quadrature.
- IterativeLegendreGaussIntegrator(int, double, double) - Constructor for class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator
-
Builds an integrator with given accuracies.
- IterativeLegendreGaussIntegrator(int, double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator
-
Builds an integrator with given accuracies and iterations counts.
- IterativeLegendreGaussIntegrator(int, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator
-
Builds an integrator with given iteration counts.
- IterativeLinearSolver - Class in org.apache.commons.math3.linear
-
This abstract class defines an iterative solver for the linear system A · x = b.
- IterativeLinearSolver(int) - Constructor for class org.apache.commons.math3.linear.IterativeLinearSolver
-
Creates a new instance of this class, with default iteration manager.
- IterativeLinearSolver(IterationManager) - Constructor for class org.apache.commons.math3.linear.IterativeLinearSolver
-
Creates a new instance of this class, with custom iteration manager.
- IterativeLinearSolverEvent - Class in org.apache.commons.math3.linear
-
This is the base class for all events occurring during the iterations of a
IterativeLinearSolver
. - IterativeLinearSolverEvent(Object, int) - Constructor for class org.apache.commons.math3.linear.IterativeLinearSolverEvent
-
Creates a new instance of this class.
- iterator() - Method in class org.apache.commons.math3.genetics.ListPopulation
-
Returns an iterator over the unmodifiable list of chromosomes.
- iterator() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
- iterator() - Method in class org.apache.commons.math3.geometry.partitioning.NodesSet
- iterator() - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
- iterator() - Method in class org.apache.commons.math3.linear.RealVector
-
Generic dense iterator.
- iterator() - Method in class org.apache.commons.math3.ml.neuralnet.Network
- iterator() - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
- iterator() - Method in class org.apache.commons.math3.util.Combinations
- iterator() - Method in class org.apache.commons.math3.util.IntegerSequence.Range
- iterator() - Method in class org.apache.commons.math3.util.MultidimensionalCounter
-
Create an iterator over this counter.
- iterator() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Get an iterator over map elements.
- iterator() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Get an iterator over map elements.
- Iterator() - Constructor for class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
-
Create an iterator
- Iterator() - Constructor for class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator
-
Simple constructor.
- Iterator() - Constructor for class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator
-
Simple constructor.
- ITERATOR_EXHAUSTED - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
J
- j - Variable in class org.apache.commons.math3.util.Combinations.LexicographicIterator
-
Marker: smallest index such that c[j + 1] > j
- J - Static variable in class org.apache.commons.math3.complex.Quaternion
-
j
- jacNorm - Variable in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer.InternalData
-
Norms of the columns of the jacobian matrix.
- jacNorm - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Deprecated.Norms of the columns of the jacobian matrix.
- jacNorm - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.Norms of the columns of the jacobian matrix.
- JACOBI_COEFFICIENTS - Static variable in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
-
Coefficients for Jacobi polynomials.
- jacobian - Variable in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory.LocalLeastSquaresProblem.UnweightedEvaluation
-
Derivative at point.
- jacobian - Variable in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory.LocalValueAndJacobianFunction
-
Model's Jacobian.
- jacobian - Variable in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
-
Jacobian of (r, θ invalid input: '&Phi').
- jacobian - Variable in class org.apache.commons.math3.optim.nonlinear.vector.JacobianMultivariateVectorOptimizer
-
Deprecated.Jacobian of the model function.
- jacobian - Variable in class org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian
-
Deprecated.Function to be optimized.
- jacobian() - Method in interface org.apache.commons.math3.analysis.DifferentiableMultivariateVectorFunction
-
Deprecated.Returns the jacobian function.
- jacobian() - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter.OldTheoreticalValuesFunction
-
Deprecated.Returns the jacobian function.
- jacobianEvaluations - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.Number of evaluations of the Jacobian.
- JacobianFunction - Class in org.apache.commons.math3.analysis.differentiation
-
Class representing the Jacobian of a multivariate vector function.
- JacobianFunction(MultivariateDifferentiableVectorFunction) - Constructor for class org.apache.commons.math3.analysis.differentiation.JacobianFunction
-
Simple constructor.
- JacobianMatrices - Class in org.apache.commons.math3.ode
-
This class defines a set of
secondary equations
to compute the Jacobian matrices with respect to the initial state vector and, if any, to some parameters of the primary ODE set. - JacobianMatrices(FirstOrderDifferentialEquations, double[], String...) - Constructor for class org.apache.commons.math3.ode.JacobianMatrices
-
Simple constructor for a secondary equations set computing Jacobian matrices.
- JacobianMatrices(MainStateJacobianProvider, String...) - Constructor for class org.apache.commons.math3.ode.JacobianMatrices
-
Simple constructor for a secondary equations set computing Jacobian matrices.
- JacobianMatrices.JacobiansSecondaryEquations - Class in org.apache.commons.math3.ode
-
Local implementation of secondary equations.
- JacobianMatrices.MainStateJacobianWrapper - Class in org.apache.commons.math3.ode
-
Wrapper class to compute jacobian matrices by finite differences for ODE which do not compute them by themselves.
- JacobianMatrices.MismatchedEquations - Exception Class in org.apache.commons.math3.ode
-
Special exception for equations mismatch.
- JacobianMultivariateVectorOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector
-
Deprecated.All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the
org.apache.commons.math3.fitting.leastsquares
package (cf. MATH-1008). - JacobianMultivariateVectorOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.JacobianMultivariateVectorOptimizer
-
Deprecated.
- jacobianProviders - Variable in class org.apache.commons.math3.ode.JacobianMatrices
-
FODE with exact parameter Jacobian computation skill.
- JacobiansSecondaryEquations() - Constructor for class org.apache.commons.math3.ode.JacobianMatrices.JacobiansSecondaryEquations
- JacobiKey(int, int) - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils.JacobiKey
-
Simple constructor.
- JacobiPreconditioner - Class in org.apache.commons.math3.linear
-
This class implements the standard Jacobi (diagonal) preconditioner.
- JacobiPreconditioner(double[], boolean) - Constructor for class org.apache.commons.math3.linear.JacobiPreconditioner
-
Creates a new instance of this class.
- JDKRandomGenerator - Class in org.apache.commons.math3.random
-
Extension of
java.util.Random
to implementRandomGenerator
. - JDKRandomGenerator() - Constructor for class org.apache.commons.math3.random.JDKRandomGenerator
-
Create a new JDKRandomGenerator with a default seed.
- JDKRandomGenerator(int) - Constructor for class org.apache.commons.math3.random.JDKRandomGenerator
-
Create a new JDKRandomGenerator with the given seed.
- jF - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.Objective function derivatives.
- jitter(double[], RealDistribution) - Static method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Adds random jitter to
data
using deviates sampled fromdist
. - jode - Variable in class org.apache.commons.math3.ode.JacobianMatrices
-
FODE with exact primary Jacobian computation skill.
K
- k - Variable in class org.apache.commons.math3.analysis.function.Logistic
-
Upper asymptote.
- k - Variable in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
-
The number of clusters.
- k - Variable in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
-
The number of clusters.
- k - Variable in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Dimension of the data.
- k - Variable in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Markers
-
Kth cell belonging to [1-5] of the markerArray.
- k - Variable in class org.apache.commons.math3.util.Combinations
-
Number of elements in each combination.
- k - Variable in class org.apache.commons.math3.util.Combinations.LexicographicComparator
-
Number of elements in each combination.
- k - Variable in class org.apache.commons.math3.util.Combinations.LexicographicIterator
-
Size of subsets returned by the iterator
- k(double) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
The within-bin kernel of the bin that x belongs to.
- K - Static variable in class org.apache.commons.math3.complex.Quaternion
-
k
- K - Static variable in class org.apache.commons.math3.random.Well1024a
-
Number of bits in the pool.
- K - Static variable in class org.apache.commons.math3.random.Well19937a
-
Number of bits in the pool.
- K - Static variable in class org.apache.commons.math3.random.Well19937c
-
Number of bits in the pool.
- K - Static variable in class org.apache.commons.math3.random.Well44497a
-
Number of bits in the pool.
- K - Static variable in class org.apache.commons.math3.random.Well44497b
-
Number of bits in the pool.
- K - Static variable in class org.apache.commons.math3.random.Well512a
-
Number of bits in the pool.
- K14_01 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Internal weights for stage 14, element 1.
- K14_06 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Internal weights for stage 14, element 6.
- K14_07 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Internal weights for stage 14, element 7.
- K14_08 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Internal weights for stage 14, element 8.
- K14_09 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Internal weights for stage 14, element 9.
- K14_10 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Internal weights for stage 14, element 10.
- K14_11 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Internal weights for stage 14, element 11.
- K14_12 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Internal weights for stage 14, element 12.
- K14_13 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Internal weights for stage 14, element 13.
- K15_01 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Internal weights for stage 15, element 1.
- K15_06 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Internal weights for stage 15, element 6.
- K15_07 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Internal weights for stage 15, element 7.
- K15_08 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Internal weights for stage 15, element 8.
- K15_09 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Internal weights for stage 15, element 9.
- K15_10 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Internal weights for stage 15, element 10.
- K15_11 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Internal weights for stage 15, element 11.
- K15_12 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Internal weights for stage 15, element 12.
- K15_13 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Internal weights for stage 15, element 13.
- K15_14 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Internal weights for stage 15, element 14.
- K16_01 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Internal weights for stage 16, element 1.
- K16_06 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Internal weights for stage 16, element 6.
- K16_07 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Internal weights for stage 16, element 7.
- K16_08 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Internal weights for stage 16, element 8.
- K16_09 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Internal weights for stage 16, element 9.
- K16_10 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Internal weights for stage 16, element 10.
- K16_11 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Internal weights for stage 16, element 11.
- K16_12 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Internal weights for stage 16, element 12.
- K16_13 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Internal weights for stage 16, element 13.
- K16_14 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Internal weights for stage 16, element 14.
- K16_15 - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Internal weights for stage 16, element 15.
- KalmanFilter - Class in org.apache.commons.math3.filter
-
Implementation of a Kalman filter to estimate the state xk of a discrete-time controlled process that is governed by the linear stochastic difference equation:
- KalmanFilter(ProcessModel, MeasurementModel) - Constructor for class org.apache.commons.math3.filter.KalmanFilter
-
Creates a new Kalman filter with the given process and measurement models.
- kB(int) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Mass of bin i under the within-bin kernel of the bin.
- KendallsCorrelation - Class in org.apache.commons.math3.stat.correlation
-
Implementation of Kendall's Tau-b rank correlation.
- KendallsCorrelation() - Constructor for class org.apache.commons.math3.stat.correlation.KendallsCorrelation
-
Create a KendallsCorrelation instance without data.
- KendallsCorrelation(double[][]) - Constructor for class org.apache.commons.math3.stat.correlation.KendallsCorrelation
-
Create a KendallsCorrelation from a rectangular array whose columns represent values of variables to be correlated.
- KendallsCorrelation(RealMatrix) - Constructor for class org.apache.commons.math3.stat.correlation.KendallsCorrelation
-
Create a KendallsCorrelation from a RealMatrix whose columns represent variables to be correlated.
- key - Variable in class org.apache.commons.math3.util.MathArrays.PairDoubleInteger
-
Key
- key - Variable in class org.apache.commons.math3.util.Pair
-
Key.
- key() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator
-
Get the key of current entry.
- key() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator
-
Get the key of current entry.
- keys - Variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Keys table.
- keys - Variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Keys table.
- khi - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
-
Expansion coefficient.
- khi - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
-
Expansion coefficient.
- khi - Variable in class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
-
Deprecated.Expansion coefficient.
- khi - Variable in class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
-
Deprecated.Expansion coefficient.
- KMeansPlusPlusClusterer<T> - Class in org.apache.commons.math3.ml.clustering
-
Clustering algorithm based on David Arthur and Sergei Vassilvitski k-means++ algorithm.
- KMeansPlusPlusClusterer<T> - Class in org.apache.commons.math3.stat.clustering
-
Deprecated.As of 3.2 (to be removed in 4.0), use
KMeansPlusPlusClusterer
instead - KMeansPlusPlusClusterer(int) - Constructor for class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
-
Build a clusterer.
- KMeansPlusPlusClusterer(int, int) - Constructor for class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
-
Build a clusterer.
- KMeansPlusPlusClusterer(int, int, DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
-
Build a clusterer.
- KMeansPlusPlusClusterer(int, int, DistanceMeasure, RandomGenerator) - Constructor for class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
-
Build a clusterer.
- KMeansPlusPlusClusterer(int, int, DistanceMeasure, RandomGenerator, KMeansPlusPlusClusterer.EmptyClusterStrategy) - Constructor for class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
-
Build a clusterer.
- KMeansPlusPlusClusterer(Random) - Constructor for class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
-
Deprecated.Build a clusterer.
- KMeansPlusPlusClusterer(Random, KMeansPlusPlusClusterer.EmptyClusterStrategy) - Constructor for class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
-
Deprecated.Build a clusterer.
- KMeansPlusPlusClusterer.EmptyClusterStrategy - Enum in org.apache.commons.math3.ml.clustering
-
Strategies to use for replacing an empty cluster.
- KMeansPlusPlusClusterer.EmptyClusterStrategy - Enum in org.apache.commons.math3.stat.clustering
-
Deprecated.Strategies to use for replacing an empty cluster.
- knots - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
-
Spline segment interval delimiters (knots).
- KohonenTrainingTask - Class in org.apache.commons.math3.ml.neuralnet.sofm
-
Trainer for Kohonen's Self-Organizing Map.
- KohonenTrainingTask(Network, Iterator<double[]>, KohonenUpdateAction) - Constructor for class org.apache.commons.math3.ml.neuralnet.sofm.KohonenTrainingTask
-
Creates a (sequential) trainer for the given network.
- KohonenUpdateAction - Class in org.apache.commons.math3.ml.neuralnet.sofm
-
Update formula for Kohonen's Self-Organizing Map.
- KohonenUpdateAction(DistanceMeasure, LearningFactorFunction, NeighbourhoodSizeFunction) - Constructor for class org.apache.commons.math3.ml.neuralnet.sofm.KohonenUpdateAction
- KolmogorovSmirnovDistribution - Class in org.apache.commons.math3.distribution
-
Deprecated.to be removed in version 4.0 - use
KolmogorovSmirnovTest
- KolmogorovSmirnovDistribution(int) - Constructor for class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
-
Deprecated.
- kolmogorovSmirnovStatistic(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Computes the two-sample Kolmogorov-Smirnov test statistic, \(D_{n,m}=\sup_x |F_n(x)-F_m(x)|\) where \(n\) is the length of
x
, \(m\) is the length ofy
, \(F_n\) is the empirical distribution that puts mass \(1/n\) at each of the values inx
and \(F_m\) is the empirical distribution of they
values. - kolmogorovSmirnovStatistic(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- kolmogorovSmirnovStatistic(RealDistribution, double[]) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Computes the one-sample Kolmogorov-Smirnov test statistic, \(D_n=\sup_x |F_n(x)-F(x)|\) where \(F\) is the distribution (cdf) function associated with
distribution
, \(n\) is the length ofdata
and \(F_n\) is the empirical distribution that puts mass \(1/n\) at each of the values indata
. - kolmogorovSmirnovStatistic(RealDistribution, double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- kolmogorovSmirnovTest(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Computes the p-value, or observed significance level, of a two-sample Kolmogorov-Smirnov test evaluating the null hypothesis that
x
andy
are samples drawn from the same probability distribution. - kolmogorovSmirnovTest(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- kolmogorovSmirnovTest(double[], double[], boolean) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Computes the p-value, or observed significance level, of a two-sample Kolmogorov-Smirnov test evaluating the null hypothesis that
x
andy
are samples drawn from the same probability distribution. - kolmogorovSmirnovTest(double[], double[], boolean) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- kolmogorovSmirnovTest(RealDistribution, double[]) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Computes the p-value, or observed significance level, of a one-sample Kolmogorov-Smirnov test evaluating the null hypothesis that
data
conforms todistribution
. - kolmogorovSmirnovTest(RealDistribution, double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- kolmogorovSmirnovTest(RealDistribution, double[], boolean) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Computes the p-value, or observed significance level, of a one-sample Kolmogorov-Smirnov test evaluating the null hypothesis that
data
conforms todistribution
. - kolmogorovSmirnovTest(RealDistribution, double[], boolean) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- kolmogorovSmirnovTest(RealDistribution, double[], double) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Performs a Kolmogorov-Smirnov test evaluating the null hypothesis that
data
conforms todistribution
. - kolmogorovSmirnovTest(RealDistribution, double[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- KolmogorovSmirnovTest - Class in org.apache.commons.math3.stat.inference
-
Implementation of the Kolmogorov-Smirnov (K-S) test for equality of continuous distributions.
- KolmogorovSmirnovTest() - Constructor for class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Construct a KolmogorovSmirnovTest instance with a default random data generator.
- KolmogorovSmirnovTest(RandomGenerator) - Constructor for class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Deprecated.
- KS_SUM_CAUCHY_CRITERION - Static variable in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Convergence criterion for
KolmogorovSmirnovTest.ksSum(double, double, int)
- KS_TEST - Static variable in class org.apache.commons.math3.stat.inference.TestUtils
-
Singleton K-S test instance
- ksSum(double, double, int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Computes \( 1 + 2 \sum_{i=1}^\infty (-1)^i e^{-2 i^2 t^2} \) stopping when successive partial sums are within
tolerance
of one another, or whenmaxIterations
partial sums have been computed. - kthSelector - Variable in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Default KthSelector used with default pivoting strategy
- KthSelector - Class in org.apache.commons.math3.util
-
A Simple Kth selector implementation to pick up the Kth ordered element from a work array containing the input numbers.
- KthSelector() - Constructor for class org.apache.commons.math3.util.KthSelector
-
Constructor with default
median of 3
pivoting strategy - KthSelector(PivotingStrategyInterface) - Constructor for class org.apache.commons.math3.util.KthSelector
-
Constructor with specified pivoting strategy
- Kurtosis - Class in org.apache.commons.math3.stat.descriptive.moment
-
Computes the Kurtosis of the available values.
- Kurtosis() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
-
Construct a Kurtosis
- Kurtosis(FourthMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
-
Construct a Kurtosis from an external moment
- Kurtosis(Kurtosis) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
-
Copy constructor, creates a new
Kurtosis
identical to theoriginal
- kurtosisImpl - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Kurtosis statistic implementation - can be reset by setter.
L
- lagrangeValuesAtNewPoint - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Values of the Lagrange functions at a new point.
- lagrangeValuesAtNewPoint - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Values of the Lagrange functions at a new point.
- laguerre(double, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver
-
Deprecated.This method should not be part of the public API: It will be made private in version 4.0.
- LAGUERRE_COEFFICIENTS - Static variable in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
-
Coefficients for Laguerre polynomials.
- LaguerreSolver - Class in org.apache.commons.math3.analysis.solvers
-
Implements the Laguerre's Method for root finding of real coefficient polynomials.
- LaguerreSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.LaguerreSolver
-
Construct a solver with default accuracy (1e-6).
- LaguerreSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.LaguerreSolver
-
Construct a solver.
- LaguerreSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.LaguerreSolver
-
Construct a solver.
- LaguerreSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.LaguerreSolver
-
Construct a solver.
- LaguerreSolver.ComplexSolver - Class in org.apache.commons.math3.analysis.solvers
-
Class for searching all (complex) roots.
- lambda - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Population size, offspring number.
- lambda - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.PopulationSize
-
Population size.
- lambda - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Population size, offspring number.
- lambda - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.PopulationSize
-
Deprecated.Population size.
- lanczos(double) - Static method in class org.apache.commons.math3.special.Gamma
-
Returns the Lanczos approximation used to compute the gamma function.
- LANCZOS - Static variable in class org.apache.commons.math3.special.Gamma
-
Lanczos coefficients
- LANCZOS_G - Static variable in class org.apache.commons.math3.special.Gamma
-
The value of the
g
constant in the Lanczos approximation, seeGamma.lanczos(double)
. - LaplaceDistribution - Class in org.apache.commons.math3.distribution
-
This class implements the Laplace distribution.
- LaplaceDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.LaplaceDistribution
-
Build a new instance.
- LaplaceDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.LaplaceDistribution
-
Build a new instance.
- LARGE_SAMPLE_PRODUCT - Static variable in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
When product of sample sizes exceeds this value, 2-sample K-S test uses asymptotic distribution to compute the p-value.
- LARGEST_POINTS_NUMBER - Enum constant in enum org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
-
Split the cluster with largest number of points.
- LARGEST_POINTS_NUMBER - Enum constant in enum org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
-
Deprecated.Split the cluster with largest number of points.
- LARGEST_VARIANCE - Enum constant in enum org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
-
Split the cluster with largest distance variance.
- LARGEST_VARIANCE - Enum constant in enum org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
-
Deprecated.Split the cluster with largest distance variance.
- last - Variable in class org.apache.commons.math3.ode.sampling.FieldStepNormalizer
-
Last step step.
- last - Variable in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds
-
Whether the last point should be passed to the underlying fixed step size step handler.
- last - Variable in class org.apache.commons.math3.util.MultidimensionalCounter
-
Index of last dimension.
- LAST - Enum constant in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds
-
Include the last point, but not the first point.
- lastDerivatives - Variable in class org.apache.commons.math3.ode.sampling.StepNormalizer
-
Last derivatives vector.
- lastIncluded() - Method in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds
-
Returns a value indicating whether the last point should be passed to the underlying fixed step size step handler.
- lastObservation - Variable in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
-
lastObservation is the last observation value/input sample.
- lastState - Variable in class org.apache.commons.math3.ode.sampling.StepNormalizer
-
Last state vector.
- lastTime - Variable in class org.apache.commons.math3.ode.sampling.StepNormalizer
-
Last step time.
- lazyEvaluation - Variable in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
-
Lazy evaluation.
- lazyEvaluation - Variable in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory.LocalLeastSquaresProblem
-
Whether to use lazy evaluation.
- lazyEvaluation(boolean) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
-
Configure whether evaluation will be lazy or not.
- LazyHolder() - Constructor for class org.apache.commons.math3.complex.ComplexField.LazyHolder
- LazyHolder() - Constructor for class org.apache.commons.math3.fraction.BigFractionField.LazyHolder
- LazyHolder() - Constructor for class org.apache.commons.math3.fraction.FractionField.LazyHolder
- LazyHolder() - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D.LazyHolder
- LazyHolder() - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D.LazyHolder
- LazyHolder() - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D.LazyHolder
- LazyHolder() - Constructor for class org.apache.commons.math3.geometry.spherical.oned.Sphere1D.LazyHolder
- LazyHolder() - Constructor for class org.apache.commons.math3.geometry.spherical.twod.Sphere2D.LazyHolder
- LazyHolder() - Constructor for class org.apache.commons.math3.ode.sampling.DummyStepHandler.LazyHolder
- LazyHolder() - Constructor for class org.apache.commons.math3.util.BigRealField.LazyHolder
- LazyUnweightedEvaluation(ValueAndJacobianFunction, RealVector, RealVector) - Constructor for class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory.LocalLeastSquaresProblem.LazyUnweightedEvaluation
-
Create an
LeastSquaresProblem.Evaluation
with no weights. - lcm(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Returns the least common multiple of the absolute value of two numbers, using the formula
lcm(a,b) = (a / gcd(a,b)) * b
. - lcm(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Returns the least common multiple of the absolute value of two numbers, using the formula
lcm(a,b) = (a / gcd(a,b)) * b
. - LCM_OVERFLOW_32_BITS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- LCM_OVERFLOW_64_BITS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- leaf - Variable in class org.apache.commons.math3.geometry.partitioning.BoundaryProjector
-
Leaf node closest to the test point.
- leafAfter(BSPTree<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Find the leaf node just after an internal node.
- leafAfter(BSPTree<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
-
Find the leaf node just after an internal node.
- leafBefore(BSPTree<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Find the leaf node just before an internal node.
- leafBefore(BSPTree<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
-
Find the leaf node just before an internal node.
- learningFactor - Variable in class org.apache.commons.math3.ml.neuralnet.sofm.KohonenUpdateAction
-
Learning factor update function.
- LearningFactorFunction - Interface in org.apache.commons.math3.ml.neuralnet.sofm
-
Provides the learning rate as a function of the number of calls already performed during the learning task.
- LearningFactorFunctionFactory - Class in org.apache.commons.math3.ml.neuralnet.sofm
-
Factory for creating instances of
LearningFactorFunction
. - LearningFactorFunctionFactory() - Constructor for class org.apache.commons.math3.ml.neuralnet.sofm.LearningFactorFunctionFactory
-
Class contains only static methods.
- LeastSquaresAdapter - Class in org.apache.commons.math3.fitting.leastsquares
-
An adapter that delegates to another implementation of
LeastSquaresProblem
. - LeastSquaresAdapter(LeastSquaresProblem) - Constructor for class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter
-
Delegate the
LeastSquaresProblem
interface to the given implementation. - LeastSquaresBuilder - Class in org.apache.commons.math3.fitting.leastsquares
-
A mutable builder for
LeastSquaresProblem
s. - LeastSquaresBuilder() - Constructor for class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
- LeastSquaresConverter - Class in org.apache.commons.math3.optim.nonlinear.scalar
-
This class converts
vectorial objective functions
toscalar objective functions
when the goal is to minimize them. - LeastSquaresConverter - Class in org.apache.commons.math3.optimization
-
Deprecated.As of 3.1 (to be removed in 4.0).
- LeastSquaresConverter(MultivariateVectorFunction, double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter
-
Builds a simple converter for uncorrelated residuals with identical weights.
- LeastSquaresConverter(MultivariateVectorFunction, double[]) - Constructor for class org.apache.commons.math3.optimization.LeastSquaresConverter
-
Deprecated.Build a simple converter for uncorrelated residuals with the same weight.
- LeastSquaresConverter(MultivariateVectorFunction, double[], double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter
-
Builds a simple converter for uncorrelated residuals with the specified weights.
- LeastSquaresConverter(MultivariateVectorFunction, double[], double[]) - Constructor for class org.apache.commons.math3.optimization.LeastSquaresConverter
-
Deprecated.Build a simple converter for uncorrelated residuals with the specific weights.
- LeastSquaresConverter(MultivariateVectorFunction, double[], RealMatrix) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter
-
Builds a simple converter for correlated residuals with the specified weights.
- LeastSquaresConverter(MultivariateVectorFunction, double[], RealMatrix) - Constructor for class org.apache.commons.math3.optimization.LeastSquaresConverter
-
Deprecated.Build a simple converter for correlated residuals with the specific weights.
- LeastSquaresFactory - Class in org.apache.commons.math3.fitting.leastsquares
-
A Factory for creating
LeastSquaresProblem
s. - LeastSquaresFactory() - Constructor for class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
-
Prevent instantiation.
- LeastSquaresFactory.LocalLeastSquaresProblem - Class in org.apache.commons.math3.fitting.leastsquares
-
A private, "field" immutable (not "real" immutable) implementation of
LeastSquaresProblem
. - LeastSquaresFactory.LocalLeastSquaresProblem.LazyUnweightedEvaluation - Class in org.apache.commons.math3.fitting.leastsquares
-
Container with the model lazy evaluation at a particular point.
- LeastSquaresFactory.LocalLeastSquaresProblem.UnweightedEvaluation - Class in org.apache.commons.math3.fitting.leastsquares
-
Container with the model evaluation at a particular point.
- LeastSquaresFactory.LocalValueAndJacobianFunction - Class in org.apache.commons.math3.fitting.leastsquares
-
Combine a
MultivariateVectorFunction
with aMultivariateMatrixFunction
to produce aMultivariateJacobianFunction
. - LeastSquaresOptimizer - Interface in org.apache.commons.math3.fitting.leastsquares
-
An algorithm that can be applied to a non-linear least squares problem.
- LeastSquaresOptimizer.Optimum - Interface in org.apache.commons.math3.fitting.leastsquares
-
The optimum found by the optimizer.
- LeastSquaresProblem - Interface in org.apache.commons.math3.fitting.leastsquares
-
The data necessary to define a non-linear least squares problem.
- LeastSquaresProblem.Evaluation - Interface in org.apache.commons.math3.fitting.leastsquares
-
An evaluation of a
LeastSquaresProblem
at a particular point. - left - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Deprecated.Left sub-tree.
- LEFT - Enum constant in enum org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D.HorizontalDirection
-
Column at the left of the current column.
- LEFT_HIGH - Enum constant in enum org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Skew
-
Deprecated.Code for left high trees.
- LEFT_SIDE - Enum constant in enum org.apache.commons.math3.analysis.solvers.AllowedSolution
-
Only solutions that are less than or equal to the actual root are acceptable as solutions for root-finding.
- LEGACY - Enum constant in enum org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType
-
This is the default type used in the
Percentile
.This method has the following formulae for index and estimates
\( \begin{align} &index = (N+1)p\ \\ &estimate = x_{\lceil h\,-\,1/2 \rceil} \\ &minLimit = 0 \\ &maxLimit = 1 \\ \end{align}\) - legendre - Variable in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
-
Generator of Gauss-Legendre integrators.
- legendre(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
-
Creates a Gauss-Legendre integrator of the given order.
- legendre(int, double, double) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
-
Creates a Gauss-Legendre integrator of the given order.
- LEGENDRE_COEFFICIENTS - Static variable in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
-
Coefficients for Legendre polynomials.
- LegendreGaussIntegrator - Class in org.apache.commons.math3.analysis.integration
-
Deprecated.As of 3.1 (to be removed in 4.0). Please use
IterativeLegendreGaussIntegrator
instead. - LegendreGaussIntegrator(int, double, double) - Constructor for class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
-
Deprecated.Build a Legendre-Gauss integrator with given accuracies.
- LegendreGaussIntegrator(int, double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
-
Deprecated.Build a Legendre-Gauss integrator with given accuracies and iterations counts.
- LegendreGaussIntegrator(int, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
-
Deprecated.Build a Legendre-Gauss integrator with given iteration counts.
- legendreHighPrecision - Variable in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
-
Generator of Gauss-Legendre integrators.
- legendreHighPrecision(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
-
Creates a Gauss-Legendre integrator of the given order.
- legendreHighPrecision(int, double, double) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
-
Creates an integrator of the given order, and whose call to the
integrate
method will perform an integration on the given interval. - LegendreHighPrecisionRuleFactory - Class in org.apache.commons.math3.analysis.integration.gauss
-
Factory that creates Gauss-type quadrature rule using Legendre polynomials.
- LegendreHighPrecisionRuleFactory() - Constructor for class org.apache.commons.math3.analysis.integration.gauss.LegendreHighPrecisionRuleFactory
-
Default precision is
DECIMAL128
. - LegendreHighPrecisionRuleFactory(MathContext) - Constructor for class org.apache.commons.math3.analysis.integration.gauss.LegendreHighPrecisionRuleFactory
- LegendreRuleFactory - Class in org.apache.commons.math3.analysis.integration.gauss
-
Factory that creates Gauss-type quadrature rule using Legendre polynomials.
- LegendreRuleFactory() - Constructor for class org.apache.commons.math3.analysis.integration.gauss.LegendreRuleFactory
- length - Variable in class org.apache.commons.math3.geometry.spherical.twod.Edge
-
Length of the arc.
- LENGTH - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- LEQ - Enum constant in enum org.apache.commons.math3.optim.linear.Relationship
-
Lesser than or equal relationship.
- LEQ - Enum constant in enum org.apache.commons.math3.optimization.linear.Relationship
-
Deprecated.Lesser than or equal relationship.
- LESS_THAN - Enum constant in enum org.apache.commons.math3.stat.inference.AlternativeHypothesis
-
Represents a left-sided test.
- LESS_THAN_TRAP - Static variable in class org.apache.commons.math3.dfp.Dfp
-
Name for traps triggered by lessThan.
- lessThan(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
-
Check if instance is less than x.
- LevenbergMarquardtOptimizer - Class in org.apache.commons.math3.fitting.leastsquares
-
This class solves a least-squares problem using the Levenberg-Marquardt algorithm.
- LevenbergMarquardtOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector.jacobian
-
Deprecated.All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the
org.apache.commons.math3.fitting.leastsquares
package (cf. MATH-1008). - LevenbergMarquardtOptimizer - Class in org.apache.commons.math3.optimization.general
-
Deprecated.As of 3.1 (to be removed in 4.0).
- LevenbergMarquardtOptimizer() - Constructor for class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
-
Default constructor.
- LevenbergMarquardtOptimizer() - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Deprecated.Build an optimizer for least squares problems with default values for all the tuning parameters (see the
other contructor
. - LevenbergMarquardtOptimizer() - Constructor for class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.Build an optimizer for least squares problems with default values for all the tuning parameters (see the
other contructor
. - LevenbergMarquardtOptimizer(double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Deprecated.Build an optimizer for least squares problems with default values for some of the tuning parameters (see the
other contructor
. - LevenbergMarquardtOptimizer(double, double, double) - Constructor for class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.Build an optimizer for least squares problems with default values for some of the tuning parameters (see the
other contructor
. - LevenbergMarquardtOptimizer(double, double, double, double, double) - Constructor for class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
-
Construct an instance with all parameters specified.
- LevenbergMarquardtOptimizer(double, double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Deprecated.The arguments control the behaviour of the default convergence checking procedure.
- LevenbergMarquardtOptimizer(double, double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.The arguments control the behaviour of the default convergence checking procedure.
- LevenbergMarquardtOptimizer(double, ConvergenceChecker<PointVectorValuePair>, double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Deprecated.Constructor that allows the specification of a custom convergence checker, in addition to the standard ones.
- LevenbergMarquardtOptimizer(double, ConvergenceChecker<PointVectorValuePair>, double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.Constructor that allows the specification of a custom convergence checker, in addition to the standard ones.
- LevenbergMarquardtOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Deprecated.Constructor that allows the specification of a custom convergence checker.
- LevenbergMarquardtOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.Constructor that allows the specification of a custom convergence checker.
- LevenbergMarquardtOptimizer.InternalData - Class in org.apache.commons.math3.fitting.leastsquares
-
Holds internal data.
- LevyDistribution - Class in org.apache.commons.math3.distribution
-
This class implements the Lévy distribution.
- LevyDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.LevyDistribution
-
Build a new instance.
- LevyDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.LevyDistribution
-
Creates a LevyDistribution.
- LEXICOGRAPHIC - Enum constant in enum org.apache.commons.math3.util.Combinations.IterationOrder
-
Lexicographic order.
- LexicographicComparator(int, int) - Constructor for class org.apache.commons.math3.util.Combinations.LexicographicComparator
- LexicographicIterator(int, int) - Constructor for class org.apache.commons.math3.util.Combinations.LexicographicIterator
-
Construct a CombinationIterator to enumerate k-sets from n.
- lexNorm(int[]) - Method in class org.apache.commons.math3.util.Combinations.LexicographicComparator
-
Computes the value (in base 10) represented by the digit (interpreted in base
n
) in the input array in reverse order. - LimitAngle - Class in org.apache.commons.math3.geometry.spherical.oned
-
This class represents a 1D oriented hyperplane on the circle.
- LimitAngle(S1Point, boolean, double) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
-
Simple constructor.
- lindep - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
flags for variables with linear dependency problems
- line - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Segment
-
Line containing the segment.
- line - Variable in class org.apache.commons.math3.geometry.euclidean.threed.SubLine
-
Underlying line.
- line - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Edge
-
Line supporting the edge.
- line - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Segment
-
Line containing the segment.
- line - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
-
Line search algorithm.
- line - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
-
Line search.
- line - Variable in class org.apache.commons.math3.optimization.direct.PowellOptimizer
-
Deprecated.Line search.
- Line - Class in org.apache.commons.math3.geometry.euclidean.threed
-
The class represent lines in a three dimensional space.
- Line - Class in org.apache.commons.math3.geometry.euclidean.twod
-
This class represents an oriented line in the 2D plane.
- Line(double, double, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Build a line from its internal characteristics.
- Line(Line) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Copy constructor.
- Line(Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Deprecated.as of 3.3, replaced with
Line(Vector3D, Vector3D, double)
- Line(Vector3D, Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Build a line from two points.
- Line(Line) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Copy constructor.
- Line(Vector2D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Deprecated.as of 3.3, replaced with
Line(Vector2D, double, double)
- Line(Vector2D, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Build a line from a point and an angle.
- Line(Vector2D, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Deprecated.as of 3.3, replaced with
Line(Vector2D, Vector2D, double)
- Line(Vector2D, Vector2D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Build a line from two points.
- Line.LineTransform - Class in org.apache.commons.math3.geometry.euclidean.twod
-
Class embedding an affine transform.
- linear - Variable in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Marker
-
Linear interpolator which is not serializable
- linearCombination(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Compute a linear combination accurately.
- linearCombination(double[], DerivativeStructure[]) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Compute a linear combination.
- linearCombination(double[], SparseGradient[]) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Compute a linear combination.
- linearCombination(double[], Dfp[]) - Method in class org.apache.commons.math3.dfp.Dfp
-
Compute a linear combination.
- linearCombination(double[], Decimal64[]) - Method in class org.apache.commons.math3.util.Decimal64
-
Compute a linear combination.
- linearCombination(double[], T[]) - Method in interface org.apache.commons.math3.RealFieldElement
-
Compute a linear combination.
- linearCombination(double, double[], int, double, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute linear combination.
- linearCombination(double, double[], int, double, double[], int, double, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute linear combination.
- linearCombination(double, double[], int, double, double[], int, double, double[], int, double, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute linear combination.
- linearCombination(double, double, double, double) - Static method in class org.apache.commons.math3.util.MathArrays
-
Compute a linear combination accurately.
- linearCombination(double, double, double, double, double, double) - Static method in class org.apache.commons.math3.util.MathArrays
-
Compute a linear combination accurately.
- linearCombination(double, double, double, double, double, double, double, double) - Static method in class org.apache.commons.math3.util.MathArrays
-
Compute a linear combination accurately.
- linearCombination(double, DerivativeStructure, double, DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Compute a linear combination.
- linearCombination(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Compute a linear combination.
- linearCombination(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Compute a linear combination.
- linearCombination(double, SparseGradient, double, SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Compute a linear combination.
- linearCombination(double, SparseGradient, double, SparseGradient, double, SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Compute a linear combination.
- linearCombination(double, SparseGradient, double, SparseGradient, double, SparseGradient, double, SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Compute a linear combination.
- linearCombination(double, Dfp, double, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
-
Compute a linear combination.
- linearCombination(double, Dfp, double, Dfp, double, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
-
Compute a linear combination.
- linearCombination(double, Dfp, double, Dfp, double, Dfp, double, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
-
Compute a linear combination.
- linearCombination(double, Decimal64, double, Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
-
Compute a linear combination.
- linearCombination(double, Decimal64, double, Decimal64, double, Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
-
Compute a linear combination.
- linearCombination(double, Decimal64, double, Decimal64, double, Decimal64, double, Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
-
Compute a linear combination.
- linearCombination(double, T, double, T) - Method in interface org.apache.commons.math3.RealFieldElement
-
Compute a linear combination.
- linearCombination(double, T, double, T, double, T) - Method in interface org.apache.commons.math3.RealFieldElement
-
Compute a linear combination.
- linearCombination(double, T, double, T, double, T, double, T) - Method in interface org.apache.commons.math3.RealFieldElement
-
Compute a linear combination.
- linearCombination(DerivativeStructure[], DerivativeStructure[]) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Compute a linear combination.
- linearCombination(DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Compute a linear combination.
- linearCombination(DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Compute a linear combination.
- linearCombination(DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Compute a linear combination.
- linearCombination(SparseGradient[], SparseGradient[]) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Compute a linear combination.
- linearCombination(SparseGradient, SparseGradient, SparseGradient, SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Compute a linear combination.
- linearCombination(SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Compute a linear combination.
- linearCombination(SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Compute a linear combination.
- linearCombination(Dfp[], Dfp[]) - Method in class org.apache.commons.math3.dfp.Dfp
-
Compute a linear combination.
- linearCombination(Dfp, Dfp, Dfp, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
-
Compute a linear combination.
- linearCombination(Dfp, Dfp, Dfp, Dfp, Dfp, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
-
Compute a linear combination.
- linearCombination(Dfp, Dfp, Dfp, Dfp, Dfp, Dfp, Dfp, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
-
Compute a linear combination.
- linearCombination(Decimal64[], Decimal64[]) - Method in class org.apache.commons.math3.util.Decimal64
-
Compute a linear combination.
- linearCombination(Decimal64, Decimal64, Decimal64, Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
-
Compute a linear combination.
- linearCombination(Decimal64, Decimal64, Decimal64, Decimal64, Decimal64, Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
-
Compute a linear combination.
- linearCombination(Decimal64, Decimal64, Decimal64, Decimal64, Decimal64, Decimal64, Decimal64, Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
-
Compute a linear combination.
- linearCombination(T[], T[]) - Method in interface org.apache.commons.math3.RealFieldElement
-
Compute a linear combination.
- linearCombination(T, T, T, T) - Method in interface org.apache.commons.math3.RealFieldElement
-
Compute a linear combination.
- linearCombination(T, T, T, T, T, T) - Method in interface org.apache.commons.math3.RealFieldElement
-
Compute a linear combination.
- linearCombination(T, T, T, T, T, T, T, T) - Method in interface org.apache.commons.math3.RealFieldElement
-
Compute a linear combination.
- LinearConstraint - Class in org.apache.commons.math3.optim.linear
-
A linear constraint for a linear optimization problem.
- LinearConstraint - Class in org.apache.commons.math3.optimization.linear
-
Deprecated.As of 3.1 (to be removed in 4.0).
- LinearConstraint(double[], double, Relationship, double[], double) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraint
-
Build a constraint involving two linear equations.
- LinearConstraint(double[], double, Relationship, double[], double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearConstraint
-
Deprecated.Build a constraint involving two linear equations.
- LinearConstraint(double[], Relationship, double) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraint
-
Build a constraint involving a single linear equation.
- LinearConstraint(double[], Relationship, double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearConstraint
-
Deprecated.Build a constraint involving a single linear equation.
- LinearConstraint(RealVector, double, Relationship, RealVector, double) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraint
-
Build a constraint involving two linear equations.
- LinearConstraint(RealVector, double, Relationship, RealVector, double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearConstraint
-
Deprecated.Build a constraint involving two linear equations.
- LinearConstraint(RealVector, Relationship, double) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraint
-
Build a constraint involving a single linear equation.
- LinearConstraint(RealVector, Relationship, double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearConstraint
-
Deprecated.Build a constraint involving a single linear equation.
- linearConstraints - Variable in class org.apache.commons.math3.optim.linear.LinearConstraintSet
-
Set of constraints.
- linearConstraints - Variable in class org.apache.commons.math3.optim.linear.LinearOptimizer
-
Linear constraints.
- linearConstraints - Variable in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
-
Deprecated.Linear constraints.
- LinearConstraintSet - Class in org.apache.commons.math3.optim.linear
-
Class that represents a set of
linear constraints
. - LinearConstraintSet(Collection<LinearConstraint>) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraintSet
-
Creates a set containing the given constraints.
- LinearConstraintSet(LinearConstraint...) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraintSet
-
Creates a set containing the given constraints.
- LinearInterpolator - Class in org.apache.commons.math3.analysis.interpolation
-
Implements a linear function for interpolation of real univariate functions.
- LinearInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.LinearInterpolator
- LinearObjectiveFunction - Class in org.apache.commons.math3.optim.linear
-
An objective function for a linear optimization problem.
- LinearObjectiveFunction - Class in org.apache.commons.math3.optimization.linear
-
Deprecated.As of 3.1 (to be removed in 4.0).
- LinearObjectiveFunction(double[], double) - Constructor for class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
- LinearObjectiveFunction(double[], double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
-
Deprecated.
- LinearObjectiveFunction(RealVector, double) - Constructor for class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
- LinearObjectiveFunction(RealVector, double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
-
Deprecated.
- LinearOptimizer - Class in org.apache.commons.math3.optim.linear
-
Base class for implementing linear optimizers.
- LinearOptimizer - Interface in org.apache.commons.math3.optimization.linear
-
Deprecated.As of 3.1 (to be removed in 4.0).
- LinearOptimizer() - Constructor for class org.apache.commons.math3.optim.linear.LinearOptimizer
-
Simple constructor with default settings.
- lineOptimizer - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.LineSearch
-
Optimizer used for line search.
- lines - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Vertex
-
Lines bound with this vertex.
- LineSearch - Class in org.apache.commons.math3.optim.nonlinear.scalar
-
Class for finding the minimum of the objective function along a given direction.
- LineSearch(double, double) - Constructor for class org.apache.commons.math3.optimization.direct.PowellOptimizer.LineSearch
-
Deprecated.The "BrentOptimizer" default stopping criterion uses the tolerances to check the domain (point) values, not the function values.
- LineSearch(MultivariateOptimizer, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.LineSearch
-
The
BrentOptimizer
default stopping criterion uses the tolerances to check the domain (point) values, not the function values. - LineSearchFunction(double[]) - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer.LineSearchFunction
-
Deprecated.Simple constructor.
- lineSegments - Variable in class org.apache.commons.math3.geometry.euclidean.twod.hull.ConvexHull2D
-
Line segments of the hull.
- LineTransform(double, double, double, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Line.LineTransform
-
Build an affine line transform from a n
AffineTransform
. - linkMap - Variable in class org.apache.commons.math3.ml.neuralnet.Network
-
Links.
- list - Variable in class org.apache.commons.math3.geometry.partitioning.NodesSet
-
List of sub-hyperplanes.
- LIST_OF_CHROMOSOMES_BIGGER_THAN_POPULATION_SIZE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- listeners - Variable in class org.apache.commons.math3.util.IterationManager
-
The collection of all listeners attached to this iterative algorithm.
- ListPopulation - Class in org.apache.commons.math3.genetics
-
Population of chromosomes represented by a
List
. - ListPopulation(int) - Constructor for class org.apache.commons.math3.genetics.ListPopulation
-
Creates a new ListPopulation instance and initializes its inner chromosome list.
- ListPopulation(List<Chromosome>, int) - Constructor for class org.apache.commons.math3.genetics.ListPopulation
-
Creates a new ListPopulation instance.
- lmDir - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Deprecated.Parameters evolution direction associated with lmPar.
- lmDir - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.Parameters evolution direction associated with lmPar.
- lmPar - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Deprecated.Levenberg-Marquardt parameter.
- lmPar - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.Levenberg-Marquardt parameter.
- LN_2_A - Static variable in class org.apache.commons.math3.util.FastMath
-
log(2) (high bits).
- LN_2_B - Static variable in class org.apache.commons.math3.util.FastMath
-
log(2) (low bits).
- LN_HI_PREC_COEF - Static variable in class org.apache.commons.math3.util.FastMath
-
Coefficients for log in the range of 1.0 invalid input: '<' x invalid input: '<' 1.0 + 2^-10.
- LN_MANT - Static variable in class org.apache.commons.math3.util.FastMath.lnMant
-
Extended precision logarithm table over the range 1 - 2 in increments of 2^-10.
- LN_MANT - Static variable in class org.apache.commons.math3.util.FastMathLiteralArrays
-
Extended precision logarithm table over the range 1 - 2 in increments of 2^-10.
- LN_MANT_LEN - Static variable in class org.apache.commons.math3.util.FastMath
-
Logarithm table length.
- LN_QUICK_COEF - Static variable in class org.apache.commons.math3.util.FastMath
-
Coefficients for log, when input 0.99 invalid input: '<' x invalid input: '<' 1.01.
- LN_SPLIT_COEF - Static variable in class org.apache.commons.math3.util.FastMathCalc
-
Coefficients for slowLog.
- ln10 - Variable in class org.apache.commons.math3.dfp.DfpField
-
A
Dfp
with value ln(10). - ln10String - Static variable in class org.apache.commons.math3.dfp.DfpField
-
High precision string representation of ln(10).
- ln2 - Variable in class org.apache.commons.math3.dfp.DfpField
-
A
Dfp
with value ln(2). - ln2Split - Variable in class org.apache.commons.math3.dfp.DfpField
-
A two elements
Dfp
array with value ln(2) split in two pieces. - ln2String - Static variable in class org.apache.commons.math3.dfp.DfpField
-
High precision string representation of ln(2).
- ln5 - Variable in class org.apache.commons.math3.dfp.DfpField
-
A
Dfp
with value ln(5). - ln5Split - Variable in class org.apache.commons.math3.dfp.DfpField
-
A two elements
Dfp
array with value ln(5) split in two pieces. - ln5String - Static variable in class org.apache.commons.math3.dfp.DfpField
-
High precision string representation of ln(5).
- lnMant() - Constructor for class org.apache.commons.math3.util.FastMath.lnMant
- lo - Variable in class org.apache.commons.math3.analysis.function.Logit
-
Lower bound.
- lo - Variable in class org.apache.commons.math3.analysis.function.Sigmoid
-
Lower asymptote.
- lo - Variable in exception class org.apache.commons.math3.exception.NoBracketingException
-
Lower end of the interval.
- lo - Variable in exception class org.apache.commons.math3.exception.OutOfRangeException
-
Lower bound.
- lo - Variable in class org.apache.commons.math3.optim.univariate.BracketFinder
-
Lower bound of the bracket.
- lo - Variable in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.Lower bound of the bracket.
- load(double[]) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Computes the empirical distribution from the provided array of numbers.
- load(File) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Computes the empirical distribution from the input file.
- load(URL) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Computes the empirical distribution using data read from a URL.
- LOAD_FACTOR - Static variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Load factor for the map.
- LOAD_FACTOR - Static variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Load factor for the map.
- loaded - Variable in class org.apache.commons.math3.random.EmpiricalDistribution
-
is the distribution loaded?
- loadExpFracA() - Static method in class org.apache.commons.math3.util.FastMathLiteralArrays
-
Load "EXP_FRAC_A".
- loadExpFracB() - Static method in class org.apache.commons.math3.util.FastMathLiteralArrays
-
Load "EXP_FRAC_B".
- loadExpIntA() - Static method in class org.apache.commons.math3.util.FastMathLiteralArrays
-
Load "EXP_INT_A".
- loadExpIntB() - Static method in class org.apache.commons.math3.util.FastMathLiteralArrays
-
Load "EXP_INT_B".
- loadLnMant() - Static method in class org.apache.commons.math3.util.FastMathLiteralArrays
-
Load "LN_MANT".
- Localizable - Interface in org.apache.commons.math3.exception.util
-
Interface for localizable strings.
- LocalizedFormats - Enum in org.apache.commons.math3.exception.util
-
Enumeration for localized messages formats used in exceptions messages.
- LocalizedFormats(String) - Constructor for enum org.apache.commons.math3.exception.util.LocalizedFormats
-
Simple constructor.
- LocalLeastSquaresProblem(MultivariateJacobianFunction, RealVector, RealVector, ConvergenceChecker<LeastSquaresProblem.Evaluation>, int, int, boolean, ParameterValidator) - Constructor for class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory.LocalLeastSquaresProblem
-
Create a
LeastSquaresProblem
from the given data. - LocalMaxCountExceededException(MaxCountExceededException) - Constructor for exception class org.apache.commons.math3.ode.events.EventState.LocalMaxCountExceededException
-
Simple constructor.
- LocalValueAndJacobianFunction(MultivariateVectorFunction, MultivariateMatrixFunction) - Constructor for class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory.LocalValueAndJacobianFunction
- locatePoint(double, StepInterpolator) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
-
Compare a step interval and a double.
- locatePoint(T, FieldStepInterpolator<T>) - Method in class org.apache.commons.math3.ode.ContinuousOutputFieldModel
-
Compare a step interval and a double.
- location - Variable in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
-
Vector location.
- location - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Vertex
-
Vertex location.
- location - Variable in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
-
Angle location.
- location - Variable in class org.apache.commons.math3.geometry.spherical.twod.Vertex
-
Vertex location.
- Location() - Constructor for enum org.apache.commons.math3.geometry.partitioning.Region.Location
- Location(int, int) - Constructor for class org.apache.commons.math3.ml.neuralnet.twod.util.LocationFinder.Location
- LocationFinder - Class in org.apache.commons.math3.ml.neuralnet.twod.util
-
Helper class to find the grid coordinates of a neuron.
- LocationFinder(NeuronSquareMesh2D) - Constructor for class org.apache.commons.math3.ml.neuralnet.twod.util.LocationFinder
-
Builds a finder to retrieve the locations of neurons that belong to the given
map
. - LocationFinder.Location - Class in org.apache.commons.math3.ml.neuralnet.twod.util
-
Container holding a (row, column) pair.
- locations - Variable in class org.apache.commons.math3.ml.neuralnet.twod.util.LocationFinder
-
Identifier to location mapping.
- LOESS_EXPECTS_AT_LEAST_ONE_POINT - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- LoessInterpolator - Class in org.apache.commons.math3.analysis.interpolation
-
Implements the Local Regression Algorithm (also Loess, Lowess) for interpolation of real univariate functions.
- LoessInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
-
Constructs a new
LoessInterpolator
with a bandwidth ofLoessInterpolator.DEFAULT_BANDWIDTH
,LoessInterpolator.DEFAULT_ROBUSTNESS_ITERS
robustness iterations and an accuracy of {#link #DEFAULT_ACCURACY}. - LoessInterpolator(double, int) - Constructor for class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
-
Construct a new
LoessInterpolator
with given bandwidth and number of robustness iterations. - LoessInterpolator(double, int, double) - Constructor for class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
-
Construct a new
LoessInterpolator
with given bandwidth, number of robustness iterations and accuracy. - log() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Natural logarithm.
- log() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Natural logarithm.
- log() - Method in class org.apache.commons.math3.complex.Complex
-
Compute the natural logarithm of this complex number.
- log() - Method in class org.apache.commons.math3.dfp.Dfp
-
Natural logarithm.
- log() - Method in interface org.apache.commons.math3.RealFieldElement
-
Natural logarithm.
- log() - Method in class org.apache.commons.math3.util.Decimal64
-
Natural logarithm.
- log(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Natural logarithm.
- log(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute natural logarithm of a derivative structure.
- log(double, double) - Static method in class org.apache.commons.math3.util.FastMath
-
Computes the logarithm in a given base.
- log(double, double[]) - Static method in class org.apache.commons.math3.util.FastMath
-
Internal helper method for natural logarithm function.
- log(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
Returns the natural logarithm of a.
- log(RealMatrix) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
- log(RealMatrix) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- Log - Class in org.apache.commons.math3.analysis.function
-
Natural logarithm function.
- Log() - Constructor for class org.apache.commons.math3.analysis.function.Log
- LOG_MAX_VALUE - Static variable in class org.apache.commons.math3.util.FastMath
-
StrictMath.log(Double.MAX_VALUE):
- log10() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Base 10 logarithm.
- log10() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Base 10 logarithm.
- log10() - Method in class org.apache.commons.math3.dfp.Dfp
-
Deprecated.as of 3.2, replaced by
Dfp.intLog10()
, in 4.0 the return type will be changed to Dfp - log10() - Method in class org.apache.commons.math3.util.Decimal64
-
Base 10 logarithm.
- log10(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the base 10 logarithm.
- log10(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Computes base 10 logarithm of a derivative structure.
- Log10 - Class in org.apache.commons.math3.analysis.function
-
Base 10 logarithm function.
- Log10() - Constructor for class org.apache.commons.math3.analysis.function.Log10
- log10K() - Method in class org.apache.commons.math3.dfp.Dfp
-
Get the exponent of the greatest power of 10000 that is less than or equal to the absolute value of this.
- log1mProbabilityOfSuccess - Variable in class org.apache.commons.math3.distribution.GeometricDistribution
-
log(1 - p)
where p is the probability of success. - log1mProbabilityOfSuccess - Variable in class org.apache.commons.math3.distribution.PascalDistribution
-
The value of
log(1-p)
, wherep
is the probability of success, stored for faster computation. - log1p() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Shifted natural logarithm.
- log1p() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Shifted natural logarithm.
- log1p() - Method in class org.apache.commons.math3.dfp.Dfp
-
Shifted natural logarithm.
- log1p() - Method in interface org.apache.commons.math3.RealFieldElement
-
Shifted natural logarithm.
- log1p() - Method in class org.apache.commons.math3.util.Decimal64
-
Shifted natural logarithm.
- log1p(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Computes log(1 + x).
- log1p(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Computes shifted logarithm of a derivative structure.
- Log1p - Class in org.apache.commons.math3.analysis.function
-
log(1 + p)
function. - Log1p() - Constructor for class org.apache.commons.math3.analysis.function.Log1p
- logBeta(double, double) - Static method in class org.apache.commons.math3.special.Beta
-
Returns the value of log B(p, q) for 0 ≤ x ≤ 1 and p, q > 0.
- logBeta(double, double, double, int) - Static method in class org.apache.commons.math3.special.Beta
-
Deprecated.as of version 3.1, this method is deprecated as the computation of the beta function is no longer iterative; it will be removed in version 4.0. Current implementation of this method internally calls
Beta.logBeta(double, double)
. - logBinomialProbability(int, int, double, double) - Static method in class org.apache.commons.math3.distribution.SaddlePointExpansion
-
Compute the logarithm of the PMF for a binomial distribution using the saddle point expansion.
- logDensity(double) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
-
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point
x
. - logDensity(double) - Method in class org.apache.commons.math3.distribution.BetaDistribution
-
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point
x
. - logDensity(double) - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point
x
. - logDensity(double) - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
-
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point
x
. - logDensity(double) - Method in class org.apache.commons.math3.distribution.FDistribution
-
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point
x
. - logDensity(double) - Method in class org.apache.commons.math3.distribution.GammaDistribution
-
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point
x
. - logDensity(double) - Method in class org.apache.commons.math3.distribution.LevyDistribution
-
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point
x
. - logDensity(double) - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
-
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point
x
. - logDensity(double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
-
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point
x
. - logDensity(double) - Method in class org.apache.commons.math3.distribution.ParetoDistribution
-
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point
x
. - logDensity(double) - Method in class org.apache.commons.math3.distribution.TDistribution
-
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point
x
. - logDensity(double) - Method in class org.apache.commons.math3.distribution.WeibullDistribution
-
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point
x
. - logDensityPrefactor1 - Variable in class org.apache.commons.math3.distribution.GammaDistribution
-
The constant value of
log(shape / scale * sqrt(e / (2 * pi * (shape + g + 0.5))) / L(shape))
, whereL(shape)
is the Lanczos approximation returned byGamma.lanczos(double)
. - logDensityPrefactor2 - Variable in class org.apache.commons.math3.distribution.GammaDistribution
-
The constant value of
log(shape * sqrt(e / (2 * pi * (shape + g + 0.5))) / L(shape))
, whereL(shape)
is the Lanczos approximation returned byGamma.lanczos(double)
. - logGamma(double) - Static method in class org.apache.commons.math3.special.Gamma
-
Returns the value of log Γ(x) for x > 0.
- logGamma1p(double) - Static method in class org.apache.commons.math3.special.Gamma
-
Returns the value of log Γ(1 + x) for -0.5 ≤ x ≤ 1.5.
- logGammaMinusLogGammaSum(double, double) - Static method in class org.apache.commons.math3.special.Beta
-
Returns the value of log[Γ(b) / Γ(a + b)] for a ≥ 0 and b ≥ 10.
- logGammaSum(double, double) - Static method in class org.apache.commons.math3.special.Beta
-
Returns the value of log Γ(a + b) for 1 ≤ a, b ≤ 2.
- logInternal(Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
Computes the natural log of a number between 0 and 2.
- Logistic - Class in org.apache.commons.math3.analysis.function
-
Generalised logistic function.
- Logistic(double, double, double, double, double, double) - Constructor for class org.apache.commons.math3.analysis.function.Logistic
- Logistic.Parametric - Class in org.apache.commons.math3.analysis.function
-
Parametric function where the input array contains the parameters of the
logistic function
, ordered as follows: k m b q a n - LogisticDistribution - Class in org.apache.commons.math3.distribution
-
This class implements the Logistic distribution.
- LogisticDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.LogisticDistribution
-
Build a new instance.
- LogisticDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.LogisticDistribution
-
Build a new instance.
- Logit - Class in org.apache.commons.math3.analysis.function
-
Logit function.
- Logit() - Constructor for class org.apache.commons.math3.analysis.function.Logit
-
Usual logit function, where the lower bound is 0 and the higher bound is 1.
- Logit(double, double) - Constructor for class org.apache.commons.math3.analysis.function.Logit
-
Logit function.
- Logit.Parametric - Class in org.apache.commons.math3.analysis.function
-
Parametric function where the input array contains the parameters of the logit function, ordered as follows: Lower bound Higher bound
- logLikelihood - Variable in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization
-
The log likelihood of the data given the fitted model.
- logMean - Variable in class org.apache.commons.math3.distribution.ExponentialDistribution
-
The logarithm of the mean, stored to reduce computing time.
- logMu2 - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
log(mu + 0.5), stored for efficiency.
- logMu2 - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.log(mu + 0.5), stored for efficiency.
- LogNormalDistribution - Class in org.apache.commons.math3.distribution
-
Implementation of the log-normal (gaussian) distribution.
- LogNormalDistribution() - Constructor for class org.apache.commons.math3.distribution.LogNormalDistribution
-
Create a log-normal distribution, where the mean and standard deviation of the
normally distributed
natural logarithm of the log-normal distribution are equal to zero and one respectively. - LogNormalDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.LogNormalDistribution
-
Create a log-normal distribution using the specified scale and shape.
- LogNormalDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.LogNormalDistribution
-
Create a log-normal distribution using the specified scale, shape and inverse cumulative distribution accuracy.
- LogNormalDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.LogNormalDistribution
-
Creates a log-normal distribution.
- LogNormalDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.LogNormalDistribution
-
Creates a log-normal distribution.
- logProbability(int) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnslog(P(X = x))
, wherelog
is the natural logarithm. - logProbability(int) - Method in class org.apache.commons.math3.distribution.BinomialDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnslog(P(X = x))
, wherelog
is the natural logarithm. - logProbability(int) - Method in class org.apache.commons.math3.distribution.GeometricDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnslog(P(X = x))
, wherelog
is the natural logarithm. - logProbability(int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnslog(P(X = x))
, wherelog
is the natural logarithm. - logProbability(int) - Method in class org.apache.commons.math3.distribution.PascalDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnslog(P(X = x))
, wherelog
is the natural logarithm. - logProbability(int) - Method in class org.apache.commons.math3.distribution.PoissonDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnslog(P(X = x))
, wherelog
is the natural logarithm. - logProbability(int) - Method in class org.apache.commons.math3.distribution.ZipfDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnslog(P(X = x))
, wherelog
is the natural logarithm. - logProbabilityOfSuccess - Variable in class org.apache.commons.math3.distribution.GeometricDistribution
-
log(p)
where p is the probability of success. - logProbabilityOfSuccess - Variable in class org.apache.commons.math3.distribution.PascalDistribution
-
The value of
log(p)
, wherep
is the probability of success, stored for faster computation. - logShapePlusHalfLog2Pi - Variable in class org.apache.commons.math3.distribution.LogNormalDistribution
-
The value of
log(shape) + 0.5 * log(2*PI)
stored for faster computation. - logStandardDeviationPlusHalfLog2Pi - Variable in class org.apache.commons.math3.distribution.NormalDistribution
-
The value of
log(sd) + 0.5*log(2*pi)
stored for faster computation. - longValue() - Method in class org.apache.commons.math3.fraction.BigFraction
-
Gets the fraction as a
long
. - longValue() - Method in class org.apache.commons.math3.fraction.Fraction
-
Gets the fraction as a
long
. - longValue() - Method in class org.apache.commons.math3.util.Decimal64
-
The current implementation performs casting to a
long
. - loop - Variable in class org.apache.commons.math3.geometry.euclidean.twod.NestedLoops
-
Boundary loop.
- loops - Variable in class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
-
Boundary defined as an array of closed loops start vertices.
- low - Variable in class org.apache.commons.math3.util.FastMath.Split
-
Low order bits.
- LOW - Static variable in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Markers
-
Low marker index
- lower - Variable in class org.apache.commons.math3.distribution.UniformIntegerDistribution
-
Lower bound (inclusive) of this distribution.
- lower - Variable in class org.apache.commons.math3.distribution.UniformRealDistribution
-
Lower bound of this distribution (inclusive).
- lower - Variable in class org.apache.commons.math3.geometry.euclidean.oned.Interval
-
The lower bound of the interval.
- lower - Variable in class org.apache.commons.math3.geometry.spherical.oned.Arc
-
The lower angular bound of the arc.
- lower - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.LowerBoundMapper
-
Low bound.
- lower - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionPenaltyAdapter
-
Lower bounds.
- lower - Variable in class org.apache.commons.math3.optim.SimpleBounds
-
Lower bounds.
- lower - Variable in class org.apache.commons.math3.optim.univariate.SearchInterval
-
Lower bound.
- lower - Variable in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.LowerBoundMapper
-
Deprecated.Low bound.
- lower - Variable in class org.apache.commons.math3.optimization.direct.MultivariateFunctionPenaltyAdapter
-
Deprecated.Lower bounds.
- lower - Variable in class org.apache.commons.math3.optimization.SimpleBounds
-
Deprecated.Lower bounds.
- LOWER_BOUND_NOT_BELOW_UPPER_BOUND - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- LOWER_ENDPOINT_ABOVE_UPPER_ENDPOINT - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- lowerBound - Variable in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
-
Lower bounds.
- lowerBound - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.Lower bounds.
- lowerBound - Variable in class org.apache.commons.math3.stat.interval.ConfidenceInterval
-
Lower endpoint of the interval
- LowerBoundMapper(double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.LowerBoundMapper
-
Simple constructor.
- LowerBoundMapper(double) - Constructor for class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.LowerBoundMapper
-
Deprecated.Simple constructor.
- lowerDifference - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
- lowerDifference - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.
- lowerIndirection - Variable in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Indirection array of the lower derivative elements.
- LowerUpperBoundMapper(double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.LowerUpperBoundMapper
-
Simple constructor.
- LowerUpperBoundMapper(double, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.LowerUpperBoundMapper
-
Deprecated.Simple constructor.
- lqnorm - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The estimate of the norm of P * rL[k-1].
- lsb - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Deprecated.Least Significant Bit scale.
- lTData - Variable in class org.apache.commons.math3.linear.CholeskyDecomposition
-
Row-oriented storage for LT matrix data.
- lTData - Variable in class org.apache.commons.math3.linear.CholeskyDecomposition.Solver
-
Row-oriented storage for LT matrix data.
- lu - Variable in class org.apache.commons.math3.linear.FieldLUDecomposition
-
Entries of LU decomposition.
- lu - Variable in class org.apache.commons.math3.linear.FieldLUDecomposition.Solver
-
Entries of LU decomposition.
- lu - Variable in class org.apache.commons.math3.linear.LUDecomposition
-
Entries of LU decomposition.
- lu - Variable in class org.apache.commons.math3.linear.LUDecomposition.Solver
-
Entries of LU decomposition.
- LU - Enum constant in enum org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer.Decomposition
-
Solve by forming the normal equations (JTJx=JTr) and using the
LUDecomposition
. - LUDecomposition - Class in org.apache.commons.math3.linear
-
Calculates the LUP-decomposition of a square matrix.
- LUDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.LUDecomposition
-
Calculates the LU-decomposition of the given matrix.
- LUDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math3.linear.LUDecomposition
-
Calculates the LU-decomposition of the given matrix.
- LUDecomposition.Solver - Class in org.apache.commons.math3.linear
-
Specialized solver.
- LutherFieldIntegrator<T> - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements the Luther sixth order Runge-Kutta integrator for Ordinary Differential Equations.
- LutherFieldIntegrator(Field<T>, T) - Constructor for class org.apache.commons.math3.ode.nonstiff.LutherFieldIntegrator
-
Simple constructor.
- LutherFieldStepInterpolator<T> - Class in org.apache.commons.math3.ode.nonstiff
-
This class represents an interpolator over the last step during an ODE integration for the 6th order Luther integrator.
- LutherFieldStepInterpolator(Field<T>, boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Constructor for class org.apache.commons.math3.ode.nonstiff.LutherFieldStepInterpolator
-
Simple constructor.
- LutherIntegrator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements the Luther sixth order Runge-Kutta integrator for Ordinary Differential Equations.
- LutherIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.LutherIntegrator
-
Simple constructor.
- LutherStepInterpolator - Class in org.apache.commons.math3.ode.nonstiff
-
This class represents an interpolator over the last step during an ODE integration for the 6th order Luther integrator.
- LutherStepInterpolator() - Constructor for class org.apache.commons.math3.ode.nonstiff.LutherStepInterpolator
-
Simple constructor.
- LutherStepInterpolator(LutherStepInterpolator) - Constructor for class org.apache.commons.math3.ode.nonstiff.LutherStepInterpolator
-
Copy constructor.
M
- m - Variable in class org.apache.commons.math3.analysis.function.Logistic
-
Abscissa of maximum growth.
- m - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition
-
max(row dimension, column dimension).
- m - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
Reference to the preconditioner, M.
- M - Static variable in class org.apache.commons.math3.random.MersenneTwister
-
Period second parameter.
- m1 - Variable in class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
-
First moment of values that have been added
- M1 - Static variable in class org.apache.commons.math3.random.Well1024a
-
First parameter of the algorithm.
- M1 - Static variable in class org.apache.commons.math3.random.Well19937a
-
First parameter of the algorithm.
- M1 - Static variable in class org.apache.commons.math3.random.Well19937c
-
First parameter of the algorithm.
- M1 - Static variable in class org.apache.commons.math3.random.Well44497a
-
First parameter of the algorithm.
- M1 - Static variable in class org.apache.commons.math3.random.Well44497b
-
First parameter of the algorithm.
- M1 - Static variable in class org.apache.commons.math3.random.Well512a
-
First parameter of the algorithm.
- m2 - Variable in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
-
second moment of values that have been added
- M2 - Static variable in class org.apache.commons.math3.random.Well1024a
-
Second parameter of the algorithm.
- M2 - Static variable in class org.apache.commons.math3.random.Well19937a
-
Second parameter of the algorithm.
- M2 - Static variable in class org.apache.commons.math3.random.Well19937c
-
Second parameter of the algorithm.
- M2 - Static variable in class org.apache.commons.math3.random.Well44497a
-
Second parameter of the algorithm.
- M2 - Static variable in class org.apache.commons.math3.random.Well44497b
-
Second parameter of the algorithm.
- M2 - Static variable in class org.apache.commons.math3.random.Well512a
-
Second parameter of the algorithm.
- m3 - Variable in class org.apache.commons.math3.stat.descriptive.moment.ThirdMoment
-
third moment of values that have been added
- M3 - Static variable in class org.apache.commons.math3.random.Well1024a
-
Third parameter of the algorithm.
- M3 - Static variable in class org.apache.commons.math3.random.Well19937a
-
Third parameter of the algorithm.
- M3 - Static variable in class org.apache.commons.math3.random.Well19937c
-
Third parameter of the algorithm.
- M3 - Static variable in class org.apache.commons.math3.random.Well44497a
-
Third parameter of the algorithm.
- M3 - Static variable in class org.apache.commons.math3.random.Well44497b
-
Third parameter of the algorithm.
- M3 - Static variable in class org.apache.commons.math3.random.Well512a
-
Third parameter of the algorithm.
- m4 - Variable in class org.apache.commons.math3.stat.descriptive.moment.FourthMoment
-
fourth moment of values that have been added
- MACH_PREC - Static variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The machine precision.
- MAG01 - Static variable in class org.apache.commons.math3.random.MersenneTwister
-
X * MATRIX_A for X = {0, 1}.
- main - Variable in class org.apache.commons.math3.linear.BiDiagonalTransformer
-
Main diagonal.
- main - Variable in class org.apache.commons.math3.linear.EigenDecomposition
-
Main diagonal of the tridiagonal matrix.
- main - Variable in class org.apache.commons.math3.linear.TriDiagonalTransformer
-
Main diagonal.
- main(String[]) - Static method in class org.apache.commons.math3.util.FastMath
-
Print out contents of arrays, and check the length.
- mainOptimizer - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.LineSearch
-
Optimizer on behalf of which the line search must be performed.
- mainSetDimension - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
-
Main set dimension.
- mainSetDimension - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Main set dimension.
- MainStateJacobianProvider - Interface in org.apache.commons.math3.ode
-
Interface expanding
first order differential equations
in order to compute exactly the main state jacobian matrix forpartial derivatives equations
. - MainStateJacobianWrapper(FirstOrderDifferentialEquations, double[]) - Constructor for class org.apache.commons.math3.ode.JacobianMatrices.MainStateJacobianWrapper
-
Wrap a
FirstOrderDifferentialEquations
into aMainStateJacobianProvider
. - manager - Variable in class org.apache.commons.math3.linear.IterativeLinearSolver
-
The object in charge of managing the iterations.
- ManhattanDistance - Class in org.apache.commons.math3.ml.distance
-
Calculates the L1 (sum of abs) distance between two points.
- ManhattanDistance() - Constructor for class org.apache.commons.math3.ml.distance.ManhattanDistance
- mannWhitneyU(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.MannWhitneyUTest
-
Computes the Mann-Whitney U statistic comparing mean for two independent samples possibly of different length.
- mannWhitneyUTest(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.MannWhitneyUTest
-
Returns the asymptotic observed significance level, or p-value, associated with a Mann-Whitney U statistic comparing mean for two independent samples.
- MannWhitneyUTest - Class in org.apache.commons.math3.stat.inference
-
An implementation of the Mann-Whitney U test (also called Wilcoxon rank-sum test).
- MannWhitneyUTest() - Constructor for class org.apache.commons.math3.stat.inference.MannWhitneyUTest
-
Create a test instance using where NaN's are left in place and ties get the average of applicable ranks.
- MannWhitneyUTest(NaNStrategy, TiesStrategy) - Constructor for class org.apache.commons.math3.stat.inference.MannWhitneyUTest
-
Create a test instance using the given strategies for NaN's and ties.
- mant - Variable in class org.apache.commons.math3.dfp.Dfp
-
Mantissa.
- mantissa(long) - Static method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Deprecated.Extract the mantissa from the bits of a double.
- MANTISSA_MASK - Static variable in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Deprecated.Mantissa bits mask.
- map - Variable in class org.apache.commons.math3.util.TransformerMap
-
The internal Map.
- map(UnivariateFunction) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Acts as if implemented as:
- map(UnivariateFunction) - Method in class org.apache.commons.math3.linear.RealVector
-
Acts as if implemented as:
- MAP_MODIFIED_WHILE_ITERATING - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- mapAdd(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Add a value to each entry.
- mapAdd(double) - Method in class org.apache.commons.math3.linear.RealVector
-
Add a value to each entry.
- mapAdd(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Map an addition operation to each entry.
- mapAdd(T) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Map an addition operation to each entry.
- mapAdd(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Map an addition operation to each entry.
- mapAddToSelf(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Add a value to each entry.
- mapAddToSelf(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Add a value to each entry.
- mapAddToSelf(double) - Method in class org.apache.commons.math3.linear.RealVector
-
Add a value to each entry.
- mapAddToSelf(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Map an addition operation to each entry.
- mapAddToSelf(T) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Map an addition operation to each entry.
- mapAddToSelf(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Map an addition operation to each entry.
- MapDataVisualization - Interface in org.apache.commons.math3.ml.neuralnet.twod.util
-
Interface for algorithms that compute some metrics of the projection of data on a 2D-map.
- mapDerivative(FieldODEStateAndDerivative<T>) - Method in class org.apache.commons.math3.ode.FieldEquationsMapper
-
Map a state derivative to a complete flat array.
- mapDivide(double) - Method in class org.apache.commons.math3.linear.RealVector
-
Divide each entry by the argument.
- mapDivide(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Map a division operation to each entry.
- mapDivide(T) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Map a division operation to each entry.
- mapDivide(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Map a division operation to each entry.
- mapDivideToSelf(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Divide each entry by the argument.
- mapDivideToSelf(double) - Method in class org.apache.commons.math3.linear.RealVector
-
Divide each entry by the argument.
- mapDivideToSelf(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Map a division operation to each entry.
- mapDivideToSelf(T) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Map a division operation to each entry.
- mapDivideToSelf(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Map a division operation to each entry.
- mapInv() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Map the 1/x function to each entry.
- mapInv() - Method in interface org.apache.commons.math3.linear.FieldVector
-
Map the 1/x function to each entry.
- mapInv() - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Map the 1/x function to each entry.
- mapInvToSelf() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Map the 1/x function to each entry.
- mapInvToSelf() - Method in interface org.apache.commons.math3.linear.FieldVector
-
Map the 1/x function to each entry.
- mapInvToSelf() - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Map the 1/x function to each entry.
- mapMultiply(double) - Method in class org.apache.commons.math3.linear.RealVector
-
Multiply each entry by the argument.
- mapMultiply(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Map a multiplication operation to each entry.
- mapMultiply(T) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Map a multiplication operation to each entry.
- mapMultiply(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Map a multiplication operation to each entry.
- mapMultiplyToSelf(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Multiply each entry.
- mapMultiplyToSelf(double) - Method in class org.apache.commons.math3.linear.RealVector
-
Multiply each entry.
- mapMultiplyToSelf(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Map a multiplication operation to each entry.
- mapMultiplyToSelf(T) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Map a multiplication operation to each entry.
- mapMultiplyToSelf(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Map a multiplication operation to each entry.
- mapper - Variable in class org.apache.commons.math3.ode.ExpandableStatefulODE.SecondaryComponent
-
Mapper between local and complete arrays.
- mapper - Variable in class org.apache.commons.math3.ode.FieldExpandableODE
-
Mapper for all equations.
- mapper - Variable in class org.apache.commons.math3.ode.MultistepFieldIntegrator.FieldNordsieckInitializer
-
Equation mapper.
- mapper - Variable in class org.apache.commons.math3.ode.sampling.AbstractFieldStepInterpolator
-
Mapper for ODE equations primary and secondary components.
- mappers - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter
-
Mapping functions.
- mappers - Variable in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter
-
Deprecated.Mapping functions.
- mapState(FieldODEState<T>) - Method in class org.apache.commons.math3.ode.FieldEquationsMapper
-
Map a state to a complete flat array.
- mapStateAndDerivative(T, T[], T[]) - Method in class org.apache.commons.math3.ode.FieldEquationsMapper
-
Map flat arrays to a state and derivative.
- mapSubtract(double) - Method in class org.apache.commons.math3.linear.RealVector
-
Subtract a value from each entry.
- mapSubtract(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Map a subtraction operation to each entry.
- mapSubtract(T) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Map a subtraction operation to each entry.
- mapSubtract(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Map a subtraction operation to each entry.
- mapSubtractToSelf(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Subtract a value from each entry.
- mapSubtractToSelf(double) - Method in class org.apache.commons.math3.linear.RealVector
-
Subtract a value from each entry.
- mapSubtractToSelf(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Map a subtraction operation to each entry.
- mapSubtractToSelf(T) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Map a subtraction operation to each entry.
- mapSubtractToSelf(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Map a subtraction operation to each entry.
- mapToSelf(UnivariateFunction) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Acts as if it is implemented as:
- mapToSelf(UnivariateFunction) - Method in class org.apache.commons.math3.linear.RealVector
-
Acts as if it is implemented as:
- MapUtils - Class in org.apache.commons.math3.ml.neuralnet
-
Utilities for network maps.
- MapUtils() - Constructor for class org.apache.commons.math3.ml.neuralnet.MapUtils
-
Class contains only static methods.
- MapUtils.PairNeuronDouble - Class in org.apache.commons.math3.ml.neuralnet
-
Helper data structure holding a (Neuron, double) pair.
- MapVisualization - Interface in org.apache.commons.math3.ml.neuralnet.twod.util
-
Interface for algorithms that compute some property of a 2D-map.
- Marker() - Constructor for class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Marker
-
Default constructor
- Marker(double, double, double, double) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Marker
-
Constructor of the marker with parameters
- markerArray - Variable in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Markers
-
Array of 5+1 Markers (The first marker is dummy just so we can match the rest of indexes [1-5] indicated in the original works which follows unit based index)
- markerHeight - Variable in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Marker
-
Marker height or the quantile.
- markers - Variable in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
-
Markers is the marker collection object which comes to effect only after 5 values are inserted
- Markers(List<Double>, double) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Markers
-
Constructor
- Markers(PSquarePercentile.Marker[]) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Markers
-
Constructor
- mask - Variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Bit mask for hash values.
- mask - Variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Bit mask for hash values.
- MASK - Static variable in class org.apache.commons.math3.random.ISAACRandom
-
For pseudo-random lookup
- MASK_30BITS - Static variable in class org.apache.commons.math3.util.FastMath
-
Mask used to clear low order 30 bits
- MASK_DOUBLE_EXPONENT - Static variable in class org.apache.commons.math3.util.FastMath
-
Mask used to extract exponent from double bits.
- MASK_DOUBLE_MANTISSA - Static variable in class org.apache.commons.math3.util.FastMath
-
Mask used to extract mantissa from double bits.
- MASK_NON_SIGN_INT - Static variable in class org.apache.commons.math3.util.FastMath
-
Mask used to clear the non-sign part of an int.
- MASK_NON_SIGN_LONG - Static variable in class org.apache.commons.math3.util.FastMath
-
Mask used to clear the non-sign part of a long.
- mat2quat(double[][]) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Convert an orthogonal rotation matrix to a quaternion.
- mat2quat(T[][]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Convert an orthogonal rotation matrix to a quaternion.
- mate(AbstractListChromosome<T>, AbstractListChromosome<T>) - Method in class org.apache.commons.math3.genetics.CycleCrossover
-
Helper for
CycleCrossover.crossover(Chromosome, Chromosome)
. - mate(AbstractListChromosome<T>, AbstractListChromosome<T>) - Method in class org.apache.commons.math3.genetics.NPointCrossover
- mate(AbstractListChromosome<T>, AbstractListChromosome<T>) - Method in class org.apache.commons.math3.genetics.OrderedCrossover
- mate(AbstractListChromosome<T>, AbstractListChromosome<T>) - Method in class org.apache.commons.math3.genetics.UniformCrossover
- MathArithmeticException - Exception Class in org.apache.commons.math3.exception
-
Base class for arithmetic exceptions.
- MathArithmeticException() - Constructor for exception class org.apache.commons.math3.exception.MathArithmeticException
-
Default constructor.
- MathArithmeticException(Localizable, Object...) - Constructor for exception class org.apache.commons.math3.exception.MathArithmeticException
-
Constructor with a specific message.
- MathArrays - Class in org.apache.commons.math3.util
-
Arrays utilities.
- MathArrays() - Constructor for class org.apache.commons.math3.util.MathArrays
-
Private constructor.
- MathArrays.Function - Interface in org.apache.commons.math3.util
-
Real-valued function that operate on an array or a part of it.
- MathArrays.OrderDirection - Enum in org.apache.commons.math3.util
-
Specification of ordering direction.
- MathArrays.PairDoubleInteger - Class in org.apache.commons.math3.util
-
A helper data structure holding a double and an integer value.
- MathArrays.Position - Enum in org.apache.commons.math3.util
-
Specification for indicating that some operation applies before or after a given index.
- MathIllegalArgumentException - Exception Class in org.apache.commons.math3.exception
-
Base class for all preconditions violation exceptions.
- MathIllegalArgumentException(Localizable, Object...) - Constructor for exception class org.apache.commons.math3.exception.MathIllegalArgumentException
- MathIllegalNumberException - Exception Class in org.apache.commons.math3.exception
-
Base class for exceptions raised by a wrong number.
- MathIllegalNumberException(Localizable, Number, Object...) - Constructor for exception class org.apache.commons.math3.exception.MathIllegalNumberException
-
Construct an exception.
- MathIllegalStateException - Exception Class in org.apache.commons.math3.exception
-
Base class for all exceptions that signal that the process throwing the exception is in a state that does not comply with the set of states that it is designed to be in.
- MathIllegalStateException() - Constructor for exception class org.apache.commons.math3.exception.MathIllegalStateException
-
Default constructor.
- MathIllegalStateException(Throwable, Localizable, Object...) - Constructor for exception class org.apache.commons.math3.exception.MathIllegalStateException
-
Simple constructor.
- MathIllegalStateException(Localizable, Object...) - Constructor for exception class org.apache.commons.math3.exception.MathIllegalStateException
-
Simple constructor.
- MathInternalError - Exception Class in org.apache.commons.math3.exception
-
Exception triggered when something that shouldn't happen does happen.
- MathInternalError() - Constructor for exception class org.apache.commons.math3.exception.MathInternalError
-
Simple constructor.
- MathInternalError(Throwable) - Constructor for exception class org.apache.commons.math3.exception.MathInternalError
-
Simple constructor.
- MathInternalError(Localizable, Object...) - Constructor for exception class org.apache.commons.math3.exception.MathInternalError
-
Constructor accepting a localized message.
- MathParseException - Exception Class in org.apache.commons.math3.exception
-
Class to signal parse failures.
- MathParseException(String, int) - Constructor for exception class org.apache.commons.math3.exception.MathParseException
- MathParseException(String, int, Class<?>) - Constructor for exception class org.apache.commons.math3.exception.MathParseException
- MathRuntimeException - Exception Class in org.apache.commons.math3.exception
-
As of release 4.0, all exceptions thrown by the Commons Math code (except
NullArgumentException
) inherit from this class. - MathRuntimeException(Localizable, Object...) - Constructor for exception class org.apache.commons.math3.exception.MathRuntimeException
- MathUnsupportedOperationException - Exception Class in org.apache.commons.math3.exception
-
Base class for all unsupported features.
- MathUnsupportedOperationException() - Constructor for exception class org.apache.commons.math3.exception.MathUnsupportedOperationException
-
Default constructor.
- MathUnsupportedOperationException(Localizable, Object...) - Constructor for exception class org.apache.commons.math3.exception.MathUnsupportedOperationException
- MathUtils - Class in org.apache.commons.math3.util
-
Miscellaneous utility functions.
- MathUtils() - Constructor for class org.apache.commons.math3.util.MathUtils
-
Class contains only static methods.
- matricesData - Variable in class org.apache.commons.math3.ode.JacobianMatrices
-
State and parameters Jacobian matrices in a row.
- MatrixDimensionMismatchException - Exception Class in org.apache.commons.math3.linear
-
Exception to be thrown when either the number of rows or the number of columns of a matrix do not match the expected values.
- MatrixDimensionMismatchException(int, int, int, int) - Constructor for exception class org.apache.commons.math3.linear.MatrixDimensionMismatchException
-
Construct an exception from the mismatched dimensions.
- matrixP - Variable in class org.apache.commons.math3.linear.SchurTransformer
-
P matrix.
- matrixT - Variable in class org.apache.commons.math3.linear.SchurTransformer
-
T matrix.
- MatrixUtils - Class in org.apache.commons.math3.linear
-
A collection of static methods that operate on or return matrices.
- MatrixUtils() - Constructor for class org.apache.commons.math3.linear.MatrixUtils
-
Private constructor.
- MatrixUtils.BigFractionMatrixConverter - Class in org.apache.commons.math3.linear
-
Converter for
FieldMatrix
/BigFraction
. - MatrixUtils.FractionMatrixConverter - Class in org.apache.commons.math3.linear
-
Converter for
FieldMatrix
/Fraction
. - max - Variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Upper bound for the interval.
- max - Variable in exception class org.apache.commons.math3.exception.MaxCountExceededException
-
Maximum number of evaluations.
- max - Variable in exception class org.apache.commons.math3.exception.NumberIsTooLargeException
-
Higher bound.
- max - Variable in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
-
Upper bound.
- max - Variable in class org.apache.commons.math3.random.EmpiricalDistribution
-
Max loaded value
- max - Variable in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
-
The maximum value
- max - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
max of values that have been added
- max - Variable in class org.apache.commons.math3.util.IntegerSequence.Range
-
Final value.
- max(double[]) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
- max(double[]) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- max(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the maximum of the entries in the input array, or
Double.NaN
if the array is empty. - max(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the maximum of the entries in the specified portion of the input array, or
Double.NaN
if the designated subarray is empty. - max(double, double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the maximum of two values
- max(float, float) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the maximum of two values
- max(int, int) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the maximum of two values
- max(long, long) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the maximum of two values
- max(RealMatrix) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
- max(RealMatrix) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- max(T, T) - Static method in class org.apache.commons.math3.util.MathUtils
-
Find the maximum of two field elements.
- Max - Class in org.apache.commons.math3.analysis.function
-
Maximum function.
- Max - Class in org.apache.commons.math3.stat.descriptive.rank
-
Returns the maximum of the available values.
- Max() - Constructor for class org.apache.commons.math3.analysis.function.Max
- Max() - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Max
-
Create a Max instance
- Max(Max) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Max
-
Copy constructor, creates a new
Max
identical to theoriginal
- MAX - Enum constant in enum org.apache.commons.math3.ode.events.Transformer
-
Transformer computing transformed = max(+
Precision.SAFE_MIN
, -g, +g). - MAX - Static variable in class org.apache.commons.math3.stat.StatUtils
-
max
- MAX_CACHED_LEVELS - Static variable in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Maximum number of partitioning pivots cached (each level double the number of pivots).
- MAX_COUNT_EXCEEDED - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- MAX_DIMENSION - Static variable in class org.apache.commons.math3.random.SobolSequenceGenerator
-
The maximum supported space dimension.
- MAX_EVAL_CALLBACK - Static variable in class org.apache.commons.math3.optim.AbstractOptimizationProblem
-
Callback to use for the evaluation counter.
- MAX_EXP - Static variable in class org.apache.commons.math3.dfp.Dfp
-
The maximum exponent before overflow is signaled and results flushed to infinity
- MAX_ITER_CALLBACK - Static variable in class org.apache.commons.math3.optim.AbstractOptimizationProblem
-
Callback to use for the iteration counter.
- MAX_ITERATIONS - Static variable in class org.apache.commons.math3.linear.SchurTransformer
-
Maximum allowed iterations for convergence of the transformation.
- MAX_ITERATIONS_EXCEEDED - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- maxCheckInterval - Variable in class org.apache.commons.math3.ode.events.EventState
-
Maximal time interval between events handler checks.
- maxCheckInterval - Variable in class org.apache.commons.math3.ode.events.FieldEventState
-
Maximal time interval between events handler checks.
- maxChecks - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
maximal number of checks for each iteration.
- maxCount - Variable in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
-
Maximum value for
MultidimensionalCounter.Iterator.count
. - maxCountCallback - Variable in class org.apache.commons.math3.util.Incrementor
-
Deprecated.Function called at counter exhaustion.
- maxCountCallback - Variable in class org.apache.commons.math3.util.IntegerSequence.Incrementor
-
Function called at counter exhaustion.
- MaxCountExceededException - Exception Class in org.apache.commons.math3.exception
-
Exception to be thrown when some counter maximum value is exceeded.
- MaxCountExceededException(Number) - Constructor for exception class org.apache.commons.math3.exception.MaxCountExceededException
-
Construct the exception.
- MaxCountExceededException(Localizable, Number, Object...) - Constructor for exception class org.apache.commons.math3.exception.MaxCountExceededException
-
Construct the exception with a specific context.
- maxDarkFraction - Variable in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere
-
Maximum fraction of the facets that can be dark.
- maxEval - Variable in class org.apache.commons.math3.optim.MaxEval
-
Allowed number of evalutations.
- MaxEval - Class in org.apache.commons.math3.optim
-
Maximum number of evaluations of the function to be optimized.
- MaxEval(int) - Constructor for class org.apache.commons.math3.optim.MaxEval
- MaxEvalCallback() - Constructor for class org.apache.commons.math3.optim.AbstractOptimizationProblem.MaxEvalCallback
- MaxEvalCallback() - Constructor for class org.apache.commons.math3.optim.BaseOptimizer.MaxEvalCallback
- maxEvalIndex - Variable in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
-
Location in
BaseMultiStartMultivariateOptimizer.optimData
where the updated maximum number of evaluations will be stored. - maxEvalIndex - Variable in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
-
Location in
MultiStartUnivariateOptimizer.optimData
where the updated maximum number of evaluations will be stored. - maxEvaluations - Variable in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
-
max evaluations
- maxEvaluations - Variable in class org.apache.commons.math3.optim.AbstractOptimizationProblem
-
max evaluations
- maxEvaluations - Variable in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
-
Deprecated.Maximal number of evaluations allowed.
- maxEvaluations - Variable in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
-
Deprecated.Maximal number of evaluations allowed.
- maxEvaluations - Variable in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
-
Deprecated.Maximal number of evaluations allowed.
- maxEvaluations(int) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
-
Configure the max evaluations.
- maxGenerations - Variable in class org.apache.commons.math3.genetics.FixedGenerationCount
-
Maximum number of generations (stopping criteria)
- maxGrowth - Variable in class org.apache.commons.math3.ode.MultistepFieldIntegrator
-
Maximal growth factor for stepsize control.
- maxGrowth - Variable in class org.apache.commons.math3.ode.MultistepIntegrator
-
Maximal growth factor for stepsize control.
- maxGrowth - Variable in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
-
Maximal growth factor for stepsize control.
- maxGrowth - Variable in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Maximal growth factor for stepsize control.
- MAXIMAL - Enum constant in enum org.apache.commons.math3.stat.ranking.NaNStrategy
-
NaNs are considered maximal in the ordering
- MAXIMAL_AGING - Static variable in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
-
Maximal aging triggering an attempt to balance the bracketing interval.
- MAXIMAL_AGING - Static variable in class org.apache.commons.math3.analysis.solvers.FieldBracketingNthOrderBrentSolver
-
Maximal aging triggering an attempt to balance the bracketing interval.
- maximalCount - Variable in class org.apache.commons.math3.util.Incrementor
-
Deprecated.Upper limit for the counter.
- maximalCount - Variable in class org.apache.commons.math3.util.IntegerSequence.Incrementor
-
Upper limit for the counter.
- maximalOrder - Variable in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
-
Maximal order.
- maximalOrder - Variable in class org.apache.commons.math3.analysis.solvers.FieldBracketingNthOrderBrentSolver
-
Maximal order.
- MAXIMIZE - Enum constant in enum org.apache.commons.math3.optim.nonlinear.scalar.GoalType
-
Maximization.
- MAXIMIZE - Enum constant in enum org.apache.commons.math3.optimization.GoalType
-
Deprecated.Maximization goal.
- maxImpl - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Maximum statistic implementation - can be reset by setter.
- maxImpl - Variable in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Maximum statistic implementation - can be reset by setter.
- maxImpl - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Maximum statistic implementation - can be reset by setter.
- maximum() - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
- MAXIMUM - Enum constant in enum org.apache.commons.math3.stat.ranking.TiesStrategy
-
Ties get the maximum applicable rank
- MAXIMUM_PARTIAL_SUM_COUNT - Static variable in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Bound on the number of partial sums in
KolmogorovSmirnovTest.ksSum(double, double, int)
- maxIter - Variable in class org.apache.commons.math3.fitting.GaussianCurveFitter
-
Maximum number of iterations of the optimization algorithm.
- maxIter - Variable in class org.apache.commons.math3.fitting.HarmonicCurveFitter
-
Maximum number of iterations of the optimization algorithm.
- maxIter - Variable in class org.apache.commons.math3.fitting.PolynomialCurveFitter
-
Maximum number of iterations of the optimization algorithm.
- maxIter - Variable in class org.apache.commons.math3.fitting.SimpleCurveFitter
-
Maximum number of iterations of the optimization algorithm.
- maxIter - Variable in class org.apache.commons.math3.linear.EigenDecomposition
-
Maximum number of iterations accepted in the implicit QL transformation
- maxIter - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
maximal number of iterations for which checks are performed.
- maxIter - Variable in class org.apache.commons.math3.optim.MaxIter
-
Allowed number of evalutations.
- MaxIter - Class in org.apache.commons.math3.optim
-
Maximum number of iterations performed by an (iterative) algorithm.
- MaxIter(int) - Constructor for class org.apache.commons.math3.optim.MaxIter
- maxIterationCount - Variable in class org.apache.commons.math3.ode.events.EventState
-
Upper limit in the iteration count for event localization.
- maxIterationCount - Variable in class org.apache.commons.math3.ode.events.FieldEventState
-
Upper limit in the iteration count for event localization.
- maxIterationCount - Variable in class org.apache.commons.math3.optim.SimplePointChecker
-
Number of iterations after which the
SimplePointChecker.converged(int, Pair, Pair)
method will return true (unless the check is disabled). - maxIterationCount - Variable in class org.apache.commons.math3.optim.SimpleValueChecker
-
Number of iterations after which the
SimpleValueChecker.converged(int,PointValuePair,PointValuePair)
method will return true (unless the check is disabled). - maxIterationCount - Variable in class org.apache.commons.math3.optim.SimpleVectorValueChecker
-
Number of iterations after which the
SimpleVectorValueChecker.converged(int,PointVectorValuePair,PointVectorValuePair)
method will return true (unless the check is disabled). - maxIterationCount - Variable in class org.apache.commons.math3.optim.univariate.SimpleUnivariateValueChecker
-
Number of iterations after which the
SimpleUnivariateValueChecker.converged(int,UnivariatePointValuePair,UnivariatePointValuePair)
method will return true (unless the check is disabled). - maxIterationCount - Variable in class org.apache.commons.math3.optimization.SimplePointChecker
-
Deprecated.Number of iterations after which the
SimplePointChecker.converged(int, Pair, Pair)
method will return true (unless the check is disabled). - maxIterationCount - Variable in class org.apache.commons.math3.optimization.SimpleValueChecker
-
Deprecated.Number of iterations after which the
SimpleValueChecker.converged(int,PointValuePair,PointValuePair)
method will return true (unless the check is disabled). - maxIterationCount - Variable in class org.apache.commons.math3.optimization.SimpleVectorValueChecker
-
Deprecated.Number of iterations after which the
SimpleVectorValueChecker.converged(int,PointVectorValuePair,PointVectorValuePair)
method will return true (unless the check is disabled). - maxIterationCount - Variable in class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker
-
Deprecated.Number of iterations after which the
SimpleUnivariateValueChecker.converged(int,UnivariatePointValuePair,UnivariatePointValuePair)
method will return true (unless the check is disabled). - maxIterations - Variable in class org.apache.commons.math3.distribution.PoissonDistribution
-
Maximum number of iterations for cumulative probability.
- maxIterations - Variable in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
-
max iterations
- maxIterations - Variable in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
-
The maximum number of iterations.
- maxIterations - Variable in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
-
The maximum number of iterations.
- maxIterations - Variable in class org.apache.commons.math3.optim.AbstractOptimizationProblem
-
max iterations
- maxIterations - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Maximal number of iterations allowed.
- maxIterations - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Maximal number of iterations allowed.
- maxIterations - Variable in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
-
Deprecated.Maximal number of iterations allowed.
- maxIterations(int) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
-
Configure the max iterations.
- MaxIterCallback() - Constructor for class org.apache.commons.math3.optim.AbstractOptimizationProblem.MaxIterCallback
- MaxIterCallback() - Constructor for class org.apache.commons.math3.optim.BaseOptimizer.MaxIterCallback
- maxLogY - Variable in class org.apache.commons.math3.distribution.GammaDistribution
-
Upper bound on
log(y)
(y = x / scale
) for the selection of the computation method inGammaDistribution.density(double)
. - maxOrder - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
maximal order.
- maxStep - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
-
Maximal step.
- maxStep - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Maximal step.
- maxTimePeriod - Variable in class org.apache.commons.math3.genetics.FixedElapsedTime
-
Maximum allowed time period (in nanoseconds).
- maxUlps - Variable in class org.apache.commons.math3.optim.linear.SimplexSolver
-
Amount of error to accept in floating point comparisons (as ulps).
- maxUlps - Variable in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Amount of error to accept in floating point comparisons.
- maxUlps - Variable in class org.apache.commons.math3.optimization.linear.SimplexSolver
-
Deprecated.Amount of error to accept in floating point comparisons (as ulps).
- maxUlps - Variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Amount of error to accept in floating point comparisons.
- mb - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The value of M * b.
- mContext - Variable in class org.apache.commons.math3.analysis.integration.gauss.LegendreHighPrecisionRuleFactory
-
Settings for enhanced precision computations.
- mdfft(Object, TransformType) - Method in class org.apache.commons.math3.transform.FastFourierTransformer
-
Deprecated.see MATH-736
- mdfft(FastFourierTransformer.MultiDimensionalComplexMatrix, TransformType, int, int[]) - Method in class org.apache.commons.math3.transform.FastFourierTransformer
-
Deprecated.see MATH-736
- mean - Variable in class org.apache.commons.math3.analysis.function.Gaussian
-
Mean.
- mean - Variable in class org.apache.commons.math3.distribution.ExponentialDistribution
-
The mean of this distribution.
- mean - Variable in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization.DataRow
-
Mean of the data row.
- mean - Variable in class org.apache.commons.math3.distribution.NormalDistribution
-
Mean of this distribution.
- mean - Variable in class org.apache.commons.math3.distribution.PoissonDistribution
-
Mean of the distribution.
- mean - Variable in class org.apache.commons.math3.fitting.GaussianCurveFitter.ParameterGuesser
-
Mean.
- mean - Variable in class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
-
Deprecated.Mean.
- mean - Variable in class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
-
Deprecated.Mean.
- mean - Variable in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
-
Mean vector.
- mean - Variable in class org.apache.commons.math3.random.UncorrelatedRandomVectorGenerator
-
Mean vector.
- mean - Variable in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
-
The sample mean
- mean - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
mean of values that have been added
- mean(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the arithmetic mean of the entries in the input array, or
Double.NaN
if the array is empty. - mean(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the arithmetic mean of the entries in the specified portion of the input array, or
Double.NaN
if the designated subarray is empty. - Mean - Class in org.apache.commons.math3.stat.descriptive.moment
-
Computes the arithmetic mean of a set of values.
- Mean() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Mean
-
Constructs a Mean.
- Mean(FirstMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Mean
-
Constructs a Mean with an External Moment.
- Mean(Mean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Mean
-
Copy constructor, creates a new
Mean
identical to theoriginal
- MEAN - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- MEAN - Static variable in class org.apache.commons.math3.stat.StatUtils
-
mean
- meanDifference(double[], double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the mean of the (signed) differences between corresponding elements of the input arrays -- i.e., sum(sample1[i] - sample2[i]) / sample1.length.
- meanImpl - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Mean statistic implementation - can be reset by setter.
- meanImpl - Variable in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Mean statistic implementation - can be reset by setter.
- meanImpl - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Mean statistic implementation - can be reset by setter.
- means - Variable in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
-
Vector of means.
- means - Variable in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
-
Means for each component.
- meanX - Variable in class org.apache.commons.math3.stat.correlation.StorelessBivariateCovariance
-
the mean of variable x
- meanY - Variable in class org.apache.commons.math3.stat.correlation.StorelessBivariateCovariance
-
the mean of variable y
- measure - Variable in class org.apache.commons.math3.ml.clustering.Clusterer
-
The distance measure to use.
- measure - Variable in class org.apache.commons.math3.ml.clustering.evaluation.ClusterEvaluator
-
The distance measure to use when evaluating the cluster.
- measurementMatrix - Variable in class org.apache.commons.math3.filter.DefaultMeasurementModel
-
The measurement matrix, used to associate the measurement vector to the internal state estimation vector.
- measurementMatrix - Variable in class org.apache.commons.math3.filter.KalmanFilter
-
The measurement matrix, equivalent to H.
- measurementMatrixT - Variable in class org.apache.commons.math3.filter.KalmanFilter
-
The transposed measurement matrix.
- measurementModel - Variable in class org.apache.commons.math3.filter.KalmanFilter
-
The measurement model used by this filter instance.
- MeasurementModel - Interface in org.apache.commons.math3.filter
-
Defines the measurement model for the use with a
KalmanFilter
. - measurementNoise - Variable in class org.apache.commons.math3.filter.DefaultMeasurementModel
-
The measurement noise covariance matrix.
- median - Variable in class org.apache.commons.math3.distribution.CauchyDistribution
-
The median of this distribution.
- Median - Class in org.apache.commons.math3.stat.descriptive.rank
-
Returns the median of the available values.
- Median() - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Median
-
Default constructor.
- Median(Median) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Median
-
Copy constructor, creates a new
Median
identical to theoriginal
- Median(Percentile.EstimationType, NaNStrategy, KthSelector) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Median
-
Constructs a Median with the specific
Percentile.EstimationType
,NaNStrategy
andinvalid reference
PivotingStrategy
- medianOf3(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Deprecated.Please refrain from using this method (as it wont take effect) and instead use
Percentile.withKthSelector(newKthSelector)
if required. - MedianOf3PivotingStrategy - Class in org.apache.commons.math3.util
-
Classic median of 3 strategy given begin and end indices.
- MedianOf3PivotingStrategy() - Constructor for class org.apache.commons.math3.util.MedianOf3PivotingStrategy
- mem - Variable in class org.apache.commons.math3.random.ISAACRandom
-
The internal state
- membershipMatrix - Variable in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
-
The membership matrix.
- membershipNormalization - Variable in class org.apache.commons.math3.ml.neuralnet.twod.util.SmoothedDataHistogram
-
Normalization factor.
- merge(Collection<Frequency>) - Method in class org.apache.commons.math3.stat.Frequency
-
Merge a
Collection
ofFrequency
objects into this instance. - merge(List<T>, List<T>) - Method in class org.apache.commons.math3.ml.clustering.DBSCANClusterer
-
Merges two lists together.
- merge(List<T>, List<T>) - Method in class org.apache.commons.math3.stat.clustering.DBSCANClusterer
-
Deprecated.Merges two lists together.
- merge(BSPTree<S>, BSPTree.LeafMerger<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Merge a BSP tree with the instance.
- merge(BSPTree<S>, BSPTree.LeafMerger<S>, BSPTree<S>, boolean) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Merge a BSP tree with the instance.
- merge(BSPTree<S>, BSPTree<S>, BSPTree<S>, boolean, boolean) - Method in interface org.apache.commons.math3.geometry.partitioning.BSPTree.LeafMerger
-
Merge a leaf node and a tree node.
- merge(BSPTree<S>, BSPTree<S>, BSPTree<S>, boolean, boolean) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory.DifferenceMerger
-
Merge a leaf node and a tree node.
- merge(BSPTree<S>, BSPTree<S>, BSPTree<S>, boolean, boolean) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory.IntersectionMerger
-
Merge a leaf node and a tree node.
- merge(BSPTree<S>, BSPTree<S>, BSPTree<S>, boolean, boolean) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory.UnionMerger
-
Merge a leaf node and a tree node.
- merge(BSPTree<S>, BSPTree<S>, BSPTree<S>, boolean, boolean) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory.XorMerger
-
Merge a leaf node and a tree node.
- merge(Frequency) - Method in class org.apache.commons.math3.stat.Frequency
-
Merge another Frequency object's counts into this instance.
- MersenneTwister - Class in org.apache.commons.math3.random
-
This class implements a powerful pseudo-random number generator developed by Makoto Matsumoto and Takuji Nishimura during 1996-1997.
- MersenneTwister() - Constructor for class org.apache.commons.math3.random.MersenneTwister
-
Creates a new random number generator.
- MersenneTwister(int) - Constructor for class org.apache.commons.math3.random.MersenneTwister
-
Creates a new random number generator using a single int seed.
- MersenneTwister(int[]) - Constructor for class org.apache.commons.math3.random.MersenneTwister
-
Creates a new random number generator using an int array seed.
- MersenneTwister(long) - Constructor for class org.apache.commons.math3.random.MersenneTwister
-
Creates a new random number generator using a single long seed.
- method - Variable in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
-
The Secant-based root-finding method to use.
- Method() - Constructor for enum org.apache.commons.math3.analysis.solvers.BaseSecantSolver.Method
- METHOD_NAME - Static variable in class org.apache.commons.math3.ode.nonstiff.AdamsBashforthFieldIntegrator
-
Integrator method name.
- METHOD_NAME - Static variable in class org.apache.commons.math3.ode.nonstiff.AdamsBashforthIntegrator
-
Integrator method name.
- METHOD_NAME - Static variable in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonFieldIntegrator
-
Integrator method name.
- METHOD_NAME - Static variable in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator
-
Integrator method name.
- METHOD_NAME - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldIntegrator
-
Integrator method name.
- METHOD_NAME - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
-
Integrator method name.
- METHOD_NAME - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator
-
Integrator method name.
- METHOD_NAME - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
Integrator method name.
- METHOD_NAME - Static variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
Integrator method name.
- METHOD_NAME - Static variable in class org.apache.commons.math3.ode.nonstiff.HighamHall54FieldIntegrator
-
Integrator method name.
- METHOD_NAME - Static variable in class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
-
Integrator method name.
- microsphere - Variable in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere
-
Microsphere.
- microsphere - Variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction
-
Deprecated.Internal accounting data for the interpolation algorithm.
- microsphere - Variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereProjectionInterpolator
-
Microsphere.
- microsphereData - Variable in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere
-
Microsphere data.
- microsphereElements - Variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
-
Deprecated.Number of surface elements of the microsphere.
- MicrosphereInterpolatingFunction - Class in org.apache.commons.math3.analysis.interpolation
-
Deprecated.Code will be removed in 4.0. Use
InterpolatingMicrosphere
andMicrosphereProjectionInterpolator
instead. - MicrosphereInterpolatingFunction(double[][], double[], int, int, UnitSphereRandomVectorGenerator) - Constructor for class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction
-
Deprecated.
- MicrosphereInterpolatingFunction.MicrosphereSurfaceElement - Class in org.apache.commons.math3.analysis.interpolation
-
Deprecated.Class for storing the accounting data needed to perform the microsphere projection.
- MicrosphereInterpolator - Class in org.apache.commons.math3.analysis.interpolation
-
Deprecated.Code will be removed in 4.0. Use
InterpolatingMicrosphere
andMicrosphereProjectionInterpolator
instead. - MicrosphereInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
-
Deprecated.Create a microsphere interpolator with default settings.
- MicrosphereInterpolator(int, int) - Constructor for class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
-
Deprecated.Create a microsphere interpolator.
- MicrosphereProjectionInterpolator - Class in org.apache.commons.math3.analysis.interpolation
-
Interpolator that implements the algorithm described in William Dudziak's MS thesis.
- MicrosphereProjectionInterpolator(int, int, double, double, double, double, boolean, double) - Constructor for class org.apache.commons.math3.analysis.interpolation.MicrosphereProjectionInterpolator
-
Create a microsphere interpolator.
- MicrosphereProjectionInterpolator(InterpolatingMicrosphere, double, boolean, double) - Constructor for class org.apache.commons.math3.analysis.interpolation.MicrosphereProjectionInterpolator
-
Create a microsphere interpolator.
- MicrosphereSurfaceElement(double[]) - Constructor for class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction.MicrosphereSurfaceElement
-
Deprecated.
- mid - Variable in class org.apache.commons.math3.optim.univariate.BracketFinder
-
Point inside the bracket.
- mid - Variable in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.Point inside the bracket.
- middle - Variable in class org.apache.commons.math3.geometry.spherical.oned.Arc
-
Middle point of the arc.
- midpoint(double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
-
Compute the midpoint of two values.
- MIDPOINT_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.MidPointIntegrator
-
Maximum number of iterations for midpoint.
- MidpointFieldIntegrator<T> - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements a second order Runge-Kutta integrator for Ordinary Differential Equations.
- MidpointFieldIntegrator(Field<T>, T) - Constructor for class org.apache.commons.math3.ode.nonstiff.MidpointFieldIntegrator
-
Simple constructor.
- MidpointFieldStepInterpolator<T> - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements a step interpolator for second order Runge-Kutta integrator.
- MidpointFieldStepInterpolator(Field<T>, boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Constructor for class org.apache.commons.math3.ode.nonstiff.MidpointFieldStepInterpolator
-
Simple constructor.
- MidpointIntegrator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements a second order Runge-Kutta integrator for Ordinary Differential Equations.
- MidpointIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.MidpointIntegrator
-
Simple constructor.
- MidPointIntegrator - Class in org.apache.commons.math3.analysis.integration
-
Implements the Midpoint Rule for integration of real univariate functions.
- MidPointIntegrator() - Constructor for class org.apache.commons.math3.analysis.integration.MidPointIntegrator
-
Construct a midpoint integrator with default settings.
- MidPointIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.MidPointIntegrator
-
Build a midpoint integrator with given accuracies and iterations counts.
- MidPointIntegrator(int, int) - Constructor for class org.apache.commons.math3.analysis.integration.MidPointIntegrator
-
Build a midpoint integrator with given iteration counts.
- MidpointStepInterpolator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements a step interpolator for second order Runge-Kutta integrator.
- MidpointStepInterpolator() - Constructor for class org.apache.commons.math3.ode.nonstiff.MidpointStepInterpolator
-
Simple constructor.
- MidpointStepInterpolator(MidpointStepInterpolator) - Constructor for class org.apache.commons.math3.ode.nonstiff.MidpointStepInterpolator
-
Copy constructor.
- millerRabinPrimeTest(int) - Static method in class org.apache.commons.math3.primes.SmallPrimes
-
Miller-Rabin probabilistic primality test for int type, used in such a way that a result is always guaranteed.
- MillerUpdatingRegression - Class in org.apache.commons.math3.stat.regression
-
This class is a concrete implementation of the
UpdatingMultipleLinearRegression
interface. - MillerUpdatingRegression() - Constructor for class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
Set the default constructor to private access to prevent inadvertent instantiation
- MillerUpdatingRegression(int, boolean) - Constructor for class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
Primary constructor for the MillerUpdatingRegression.
- MillerUpdatingRegression(int, boolean, double) - Constructor for class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
This is the augmented constructor for the MillerUpdatingRegression class.
- min - Variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Lower bound for the interval.
- min - Variable in exception class org.apache.commons.math3.exception.NumberIsTooSmallException
-
Higher bound.
- min - Variable in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
-
Lower bound.
- min - Variable in class org.apache.commons.math3.random.EmpiricalDistribution
-
Min loaded value
- min - Variable in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
-
The minimum value
- min - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
min of values that have been added
- min(double[]) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
- min(double[]) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- min(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the minimum of the entries in the input array, or
Double.NaN
if the array is empty. - min(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the minimum of the entries in the specified portion of the input array, or
Double.NaN
if the designated subarray is empty. - min(double, double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the minimum of two values
- min(float, float) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the minimum of two values
- min(int, int) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the minimum of two values
- min(long, long) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the minimum of two values
- min(RealMatrix) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
- min(RealMatrix) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- min(T, T) - Static method in class org.apache.commons.math3.util.MathUtils
-
Find the minimum of two field elements.
- Min - Class in org.apache.commons.math3.analysis.function
-
Minimum function.
- Min - Class in org.apache.commons.math3.stat.descriptive.rank
-
Returns the minimum of the available values.
- Min() - Constructor for class org.apache.commons.math3.analysis.function.Min
- Min() - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Min
-
Create a Min instance
- Min(Min) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Min
-
Copy constructor, creates a new
Min
identical to theoriginal
- MIN - Enum constant in enum org.apache.commons.math3.ode.events.Transformer
-
Transformer computing transformed = min(-
Precision.SAFE_MIN
, -g, +g). - MIN - Static variable in class org.apache.commons.math3.stat.StatUtils
-
min
- MIN_EXP - Static variable in class org.apache.commons.math3.dfp.Dfp
-
The minimum exponent before underflow is signaled.
- MIN_NUM_POINTS - Static variable in class org.apache.commons.math3.analysis.interpolation.PiecewiseBicubicSplineInterpolatingFunction
-
The minimum number of points that are needed to compute the function.
- MIN_RELATIVE_TOLERANCE - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
-
Minimum relative tolerance.
- MIN_RELATIVE_TOLERANCE - Static variable in class org.apache.commons.math3.optim.univariate.BrentOptimizer
-
Minimum relative tolerance.
- MIN_RELATIVE_TOLERANCE - Static variable in class org.apache.commons.math3.optimization.direct.PowellOptimizer
-
Deprecated.Minimum relative tolerance.
- MIN_RELATIVE_TOLERANCE - Static variable in class org.apache.commons.math3.optimization.univariate.BrentOptimizer
-
Deprecated.Minimum relative tolerance.
- MIN_SELECT_SIZE - Static variable in class org.apache.commons.math3.util.KthSelector
-
Minimum selection size for insertion sort rather than selection.
- MINIMAL - Enum constant in enum org.apache.commons.math3.stat.ranking.NaNStrategy
-
NaNs are considered minimal in the ordering
- MINIMAL_STEPSIZE_REACHED_DURING_INTEGRATION - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- minimalIterationCount - Variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
minimum number of iterations
- MINIMIZE - Enum constant in enum org.apache.commons.math3.optim.nonlinear.scalar.GoalType
-
Minimization.
- MINIMIZE - Enum constant in enum org.apache.commons.math3.optimization.GoalType
-
Deprecated.Minimization goal.
- minImpl - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Minimum statistic implementation - can be reset by setter.
- minImpl - Variable in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Minimum statistic implementation - can be reset by setter.
- minImpl - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Minimum statistic implementation - can be reset by setter.
- minimum() - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
- MINIMUM - Enum constant in enum org.apache.commons.math3.stat.ranking.TiesStrategy
-
Ties get the minimum applicable rank
- MINIMUM_NUMBER_POINTS - Static variable in class org.apache.commons.math3.analysis.interpolation.AkimaSplineInterpolator
-
The minimum number of points that are needed to compute the function.
- MINIMUM_PROBLEM_DIMENSION - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Minimum dimension of the problem: 2
- MINIMUM_PROBLEM_DIMENSION - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Minimum dimension of the problem: 2
- minor(BigFraction[], BigFraction[]) - Method in class org.apache.commons.math3.geometry.euclidean.twod.DiskGenerator
-
Compute a dimension 3 minor, when 3d column is known to be filled with 1.0.
- minor(BigFraction[], BigFraction[], BigFraction[]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphereGenerator
-
Compute a dimension 4 minor, when 4th column is known to be filled with 1.0.
- minPts - Variable in class org.apache.commons.math3.ml.clustering.DBSCANClusterer
-
Minimum number of points needed for a cluster.
- minPts - Variable in class org.apache.commons.math3.stat.clustering.DBSCANClusterer
-
Deprecated.Minimum number of points needed for a cluster.
- minReduction - Variable in class org.apache.commons.math3.ode.MultistepFieldIntegrator
-
Minimal reduction factor for stepsize control.
- minReduction - Variable in class org.apache.commons.math3.ode.MultistepIntegrator
-
Minimal reduction factor for stepsize control.
- minReduction - Variable in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
-
Minimal reduction factor for stepsize control.
- minReduction - Variable in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Minimal reduction factor for stepsize control.
- minStep - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
-
Minimal step.
- minStep - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Minimal step.
- minus - Variable in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Tree at the minus side of the cut hyperplane.
- minus - Variable in class org.apache.commons.math3.geometry.partitioning.SubHyperplane.SplitSubHyperplane
-
Part of the sub-hyperplane on the minus side of the splitting hyperplane.
- minus - Variable in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet.Split
-
Part of the arcs set on the minus side of the splitting arc.
- Minus - Class in org.apache.commons.math3.analysis.function
-
Minus function.
- Minus() - Constructor for class org.apache.commons.math3.analysis.function.Minus
- MINUS - Enum constant in enum org.apache.commons.math3.geometry.partitioning.Side
-
Code for the minus side of the hyperplane.
- MINUS - Enum constant in enum org.apache.commons.math3.ode.events.Transformer
-
Transformer computing transformed = -g.
- MINUS_I - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Opposite of the first canonical vector (coordinates: -1, 0, 0).
- MINUS_I - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point
-
-I (coordinates: \( \theta = \pi, \varphi = \pi/2 \)).
- MINUS_J - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Opposite of the second canonical vector (coordinates: 0, -1, 0).
- MINUS_J - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point
-
-J (coordinates: \( \theta = 3\pi/2, \varphi = \pi/2 \)).
- MINUS_K - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Opposite of the third canonical vector (coordinates: 0, 0, -1).
- MINUS_K - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point
-
-K (coordinates: \( \theta = any angle, \varphi = \pi \)).
- MINUS_ONE - Static variable in class org.apache.commons.math3.fraction.BigFraction
-
A fraction representing "-1 / 1".
- MINUS_ONE - Static variable in class org.apache.commons.math3.fraction.Fraction
-
A fraction representing "-1 / 1".
- MINUS_ONE - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Constant -1.
- MINUS_ONE - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Constant -1.
- MINUS_PLUS_SUB - Enum constant in enum org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor.Order
-
Indicator for visit order minus sub-tree, then plus sub-tree, and last cut sub-hyperplane.
- MINUS_SUB_PLUS - Enum constant in enum org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor.Order
-
Indicator for visit order minus sub-tree, then cut sub-hyperplane, and last plus sub-tree.
- minusEpsZeta - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The value of (-eps[k+1] * zeta[k-1]).
- minusFound - Variable in class org.apache.commons.math3.geometry.partitioning.InsideFinder
-
Indicator of inside leaf nodes found on the plus side.
- minusFound() - Method in class org.apache.commons.math3.geometry.partitioning.InsideFinder
-
Check if inside leaf nodes have been found on the minus side.
- minusOne - Variable in class org.apache.commons.math3.analysis.integration.gauss.LegendreHighPrecisionRuleFactory
-
The number
-1
. - minY - Variable in class org.apache.commons.math3.distribution.GammaDistribution
-
Lower bound on
y = x / scale
for the selection of the computation method inGammaDistribution.density(double)
. - MISMATCHED_LOESS_ABSCISSA_ORDINATE_ARRAYS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- MismatchedEquations() - Constructor for exception class org.apache.commons.math3.ode.JacobianMatrices.MismatchedEquations
-
Simple constructor.
- missingEntries - Variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Return value for missing entries.
- missingEntries - Variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Return value for missing entries.
- MixtureMultivariateNormalDistribution - Class in org.apache.commons.math3.distribution
-
Multivariate normal mixture distribution.
- MixtureMultivariateNormalDistribution(double[], double[][], double[][][]) - Constructor for class org.apache.commons.math3.distribution.MixtureMultivariateNormalDistribution
-
Creates a multivariate normal mixture distribution.
- MixtureMultivariateNormalDistribution(List<Pair<Double, MultivariateNormalDistribution>>) - Constructor for class org.apache.commons.math3.distribution.MixtureMultivariateNormalDistribution
-
Creates a mixture model from a list of distributions and their associated weights.
- MixtureMultivariateNormalDistribution(RandomGenerator, List<Pair<Double, MultivariateNormalDistribution>>) - Constructor for class org.apache.commons.math3.distribution.MixtureMultivariateNormalDistribution
-
Creates a mixture model from a list of distributions and their associated weights.
- MixtureMultivariateRealDistribution<T> - Class in org.apache.commons.math3.distribution
-
Class for representing mixture model distributions.
- MixtureMultivariateRealDistribution(List<Pair<Double, T>>) - Constructor for class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
-
Creates a mixture model from a list of distributions and their associated weights.
- MixtureMultivariateRealDistribution(RandomGenerator, List<Pair<Double, T>>) - Constructor for class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
-
Creates a mixture model from a list of distributions and their associated weights.
- mode - Variable in class org.apache.commons.math3.ode.sampling.FieldStepNormalizer
-
The step normalizer mode to use.
- mode - Variable in class org.apache.commons.math3.ode.sampling.StepNormalizer
-
The step normalizer mode to use.
- mode - Variable in class org.apache.commons.math3.random.ValueServer
-
mode determines how values are generated.
- mode(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the sample mode(s).
- mode(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the sample mode(s).
- model - Variable in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
-
model function
- model - Variable in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory.LocalLeastSquaresProblem.LazyUnweightedEvaluation
-
Model and Jacobian functions.
- model - Variable in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory.LocalLeastSquaresProblem
-
Model function.
- model - Variable in class org.apache.commons.math3.optim.nonlinear.vector.ModelFunction
-
Deprecated.Function to be optimized.
- model - Variable in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
-
Deprecated.Model function.
- model(MultivariateVectorFunction, MultivariateMatrixFunction) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
-
Configure the model function.
- model(MultivariateVectorFunction, MultivariateMatrixFunction) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
-
Combine a
MultivariateVectorFunction
with aMultivariateMatrixFunction
to produce aMultivariateJacobianFunction
. - model(MultivariateJacobianFunction) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
-
Configure the model function.
- ModelFunction - Class in org.apache.commons.math3.optim.nonlinear.vector
-
Deprecated.All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the
org.apache.commons.math3.fitting.leastsquares
package (cf. MATH-1008). - ModelFunction(MultivariateVectorFunction) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.ModelFunction
-
Deprecated.
- ModelFunctionJacobian - Class in org.apache.commons.math3.optim.nonlinear.vector
-
Deprecated.All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the
org.apache.commons.math3.fitting.leastsquares
package (cf. MATH-1008). - ModelFunctionJacobian(MultivariateMatrixFunction) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian
-
Deprecated.
- modelSecondDerivativesParameters - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Parameters of the implicit second derivatives of the quadratic model.
- modelSecondDerivativesParameters - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Parameters of the implicit second derivatives of the quadratic model.
- modelSecondDerivativesValues - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Explicit second derivatives of the quadratic model.
- modelSecondDerivativesValues - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Explicit second derivatives of the quadratic model.
- ModelSpecificationException - Exception Class in org.apache.commons.math3.stat.regression
-
Exception thrown when a regression model is not correctly specified.
- ModelSpecificationException(Localizable, Object...) - Constructor for exception class org.apache.commons.math3.stat.regression.ModelSpecificationException
- moment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
-
Fourth Moment on which this statistic is based
- moment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Mean
-
First moment on which this statistic is based.
- moment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Skewness
-
Third moment on which this statistic is based
- moment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
SecondMoment is used in incremental calculation of Variance
- MonotoneChain - Class in org.apache.commons.math3.geometry.euclidean.twod.hull
-
Implements Andrew's monotone chain method to generate the convex hull of a finite set of points in the two-dimensional euclidean space.
- MonotoneChain() - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.hull.MonotoneChain
-
Create a new MonotoneChain instance.
- MonotoneChain(boolean) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.hull.MonotoneChain
-
Create a new MonotoneChain instance.
- MonotoneChain(boolean, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.hull.MonotoneChain
-
Create a new MonotoneChain instance.
- MONTE_CARLO_ITERATIONS - Static variable in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Deprecated.
- monteCarloP(double, int, int, boolean, int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Uses Monte Carlo simulation to approximate \(P(D_{n,m} > d)\) where \(D_{n,m}\) is the 2-sample Kolmogorov-Smirnov statistic.
- monteCarloP(double, int, int, boolean, int) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- MOORE - Enum constant in enum org.apache.commons.math3.ml.neuralnet.SquareNeighbourhood
-
invalid input: '<'a href="http://en.wikipedia.org/wiki/Moore_neighborhood" Moore neighbourhood: in two dimensions, each (internal) neuron has eight neighbours.
- more - Variable in class org.apache.commons.math3.util.Combinations.LexicographicIterator
-
Return value for
Combinations.LexicographicIterator.hasNext()
- more - Variable in class org.apache.commons.math3.util.Combinations.SingletonIterator
-
True on initialization, false after first call to next
- moveToFrontBall(List<P>, int, List<P>) - Method in class org.apache.commons.math3.geometry.enclosing.WelzlEncloser
-
Compute enclosing ball using Welzl's move to front heuristic.
- MSE_IDX - Static variable in class org.apache.commons.math3.stat.regression.RegressionResults
-
INDEX of Mean Squared Error
- msgArguments - Variable in class org.apache.commons.math3.exception.util.ExceptionContext
-
Various informations that enrich the informative message.
- msgPatterns - Variable in class org.apache.commons.math3.exception.util.ExceptionContext
-
Various informations that enrich the informative message.
- mt - Variable in class org.apache.commons.math3.random.MersenneTwister
-
Bytes pool.
- mti - Variable in class org.apache.commons.math3.random.MersenneTwister
-
Current index in the bytes pool.
- mu - Variable in class org.apache.commons.math3.distribution.GumbelDistribution
-
The location parameter.
- mu - Variable in class org.apache.commons.math3.distribution.LaplaceDistribution
-
The location parameter.
- mu - Variable in class org.apache.commons.math3.distribution.LevyDistribution
-
Location parameter.
- mu - Variable in class org.apache.commons.math3.distribution.LogisticDistribution
-
The location parameter.
- mu - Variable in class org.apache.commons.math3.distribution.NakagamiDistribution
-
The shape parameter.
- mu - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Number of parents/points for recombination.
- mu - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Number of parents/points for recombination.
- mu - Variable in class org.apache.commons.math3.random.ValueServer
-
Mean for use with non-data-driven modes.
- mudif - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
interpolation order control parameter.
- mueff - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Variance-effectiveness of sum w_i x_i.
- mueff - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Variance-effectiveness of sum w_i x_i.
- mulAndCheck(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Multiply two integers, checking for overflow.
- mulAndCheck(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Multiply two long integers, checking for overflow.
- MullerSolver - Class in org.apache.commons.math3.analysis.solvers
-
This class implements the Muller's Method for root finding of real univariate functions.
- MullerSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver
-
Construct a solver with default accuracy (1e-6).
- MullerSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver
-
Construct a solver.
- MullerSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver
-
Construct a solver.
- MullerSolver2 - Class in org.apache.commons.math3.analysis.solvers
-
This class implements the Muller's Method for root finding of real univariate functions.
- MullerSolver2() - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver2
-
Construct a solver with default accuracy (1e-6).
- MullerSolver2(double) - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver2
-
Construct a solver.
- MullerSolver2(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver2
-
Construct a solver.
- multiDimensionalComplexArray - Variable in class org.apache.commons.math3.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
-
Deprecated.Storage array.
- MultiDimensionalComplexMatrix(Object) - Constructor for class org.apache.commons.math3.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
-
Deprecated.Simple constructor.
- MultidimensionalCounter - Class in org.apache.commons.math3.util
-
Converter between unidimensional storage structure and multidimensional conceptual structure.
- MultidimensionalCounter(int...) - Constructor for class org.apache.commons.math3.util.MultidimensionalCounter
-
Create a counter.
- MultidimensionalCounter.Iterator - Class in org.apache.commons.math3.util
-
Perform iteration over the multidimensional counter.
- MultiDimensionMismatchException - Exception Class in org.apache.commons.math3.exception
-
Exception to be thrown when two sets of dimensions differ.
- MultiDimensionMismatchException(Integer[], Integer[]) - Constructor for exception class org.apache.commons.math3.exception.MultiDimensionMismatchException
-
Construct an exception from the mismatched dimensions.
- MultiDimensionMismatchException(Localizable, Integer[], Integer[]) - Constructor for exception class org.apache.commons.math3.exception.MultiDimensionMismatchException
-
Construct an exception from the mismatched dimensions.
- MultiDirectionalSimplex - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
-
This class implements the multi-directional direct search method.
- MultiDirectionalSimplex - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.As of 3.1 (to be removed in 4.0).
- MultiDirectionalSimplex(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
-
Build a multi-directional simplex with default coefficients.
- MultiDirectionalSimplex(double[]) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
-
Deprecated.Build a multi-directional simplex with default coefficients.
- MultiDirectionalSimplex(double[][]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
-
Build a multi-directional simplex with default coefficients.
- MultiDirectionalSimplex(double[][]) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
-
Deprecated.Build a multi-directional simplex with default coefficients.
- MultiDirectionalSimplex(double[][], double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
-
Build a multi-directional simplex with specified coefficients.
- MultiDirectionalSimplex(double[][], double, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
-
Deprecated.Build a multi-directional simplex with specified coefficients.
- MultiDirectionalSimplex(double[], double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
-
Build a multi-directional simplex with specified coefficients.
- MultiDirectionalSimplex(double[], double, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
-
Deprecated.Build a multi-directional simplex with specified coefficients.
- MultiDirectionalSimplex(int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
-
Build a multi-directional simplex with default coefficients.
- MultiDirectionalSimplex(int) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
-
Deprecated.Build a multi-directional simplex with default coefficients.
- MultiDirectionalSimplex(int, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
-
Build a multi-directional simplex with default coefficients.
- MultiDirectionalSimplex(int, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
-
Deprecated.Build a multi-directional simplex with default coefficients.
- MultiDirectionalSimplex(int, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
-
Build a multi-directional simplex with specified coefficients.
- MultiDirectionalSimplex(int, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
-
Deprecated.Build a multi-directional simplex with specified coefficients.
- MultiDirectionalSimplex(int, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
-
Build a multi-directional simplex with specified coefficients.
- MultiDirectionalSimplex(int, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
-
Deprecated.Build a multi-directional simplex with specified coefficients.
- MultiKMeansPlusPlusClusterer<T> - Class in org.apache.commons.math3.ml.clustering
-
A wrapper around a k-means++ clustering algorithm which performs multiple trials and returns the best solution.
- MultiKMeansPlusPlusClusterer(KMeansPlusPlusClusterer<T>, int) - Constructor for class org.apache.commons.math3.ml.clustering.MultiKMeansPlusPlusClusterer
-
Build a clusterer.
- MultiKMeansPlusPlusClusterer(KMeansPlusPlusClusterer<T>, int, ClusterEvaluator<T>) - Constructor for class org.apache.commons.math3.ml.clustering.MultiKMeansPlusPlusClusterer
-
Build a clusterer.
- multIndirection - Variable in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Indirection arrays for multiplication.
- MultipleLinearRegression - Interface in org.apache.commons.math3.stat.regression
-
The multiple linear regression can be represented in matrix-notation.
- MULTIPLES - Enum constant in enum org.apache.commons.math3.ode.sampling.StepNormalizerMode
-
Steps are multiples of a fixed value.
- MULTIPLICATIVE - Enum constant in enum org.apache.commons.math3.util.ResizableDoubleArray.ExpansionMode
-
Multiplicative expansion mode.
- MULTIPLICATIVE_MODE - Static variable in class org.apache.commons.math3.util.ResizableDoubleArray
-
Deprecated.As of 3.1. Please use
ResizableDoubleArray.ExpansionMode.MULTIPLICATIVE
instead. - multiply(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
'×' operator.
- multiply(double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
'×' operator.
- multiply(double) - Method in class org.apache.commons.math3.complex.Complex
-
Returns a
Complex
whose value isthis * factor
, withfactor
interpreted as a real number. - multiply(double) - Method in class org.apache.commons.math3.complex.Quaternion
-
Multiplies the instance by a scalar.
- multiply(double) - Method in class org.apache.commons.math3.dfp.Dfp
-
'×' operator.
- multiply(double) - Method in interface org.apache.commons.math3.RealFieldElement
-
'×' operator.
- multiply(double) - Method in class org.apache.commons.math3.util.Decimal64
-
'×' operator.
- multiply(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Perform multiplication of two derivative structures.
- multiply(int) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Compute n × this.
- multiply(int) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Compute n × this.
- multiply(int) - Method in class org.apache.commons.math3.complex.Complex
-
Returns a
Complex
whose value isthis * factor
, withfactor
interpreted as a integer number. - multiply(int) - Method in class org.apache.commons.math3.dfp.Dfp
-
Multiply this by a single digit x.
- multiply(int) - Method in interface org.apache.commons.math3.FieldElement
-
Compute n × this.
- multiply(int) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Multiply the value of this fraction by the passed
int
, returning the result in reduced form. - multiply(int) - Method in class org.apache.commons.math3.fraction.Fraction
-
Multiply the fraction by an integer.
- multiply(int) - Method in class org.apache.commons.math3.util.BigReal
-
Compute n × this.
- multiply(int) - Method in class org.apache.commons.math3.util.Decimal64
-
Compute n × this.
- multiply(long) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Multiply the value of this fraction by the passed
long
, returning the result in reduced form. - multiply(BigInteger) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Multiplies the value of this fraction by the passed
BigInteger
, returning the result in reduced form. - multiply(DifferentiableUnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
Deprecated.as of 3.1 replaced by
FunctionUtils.multiply(UnivariateDifferentiableFunction...)
- multiply(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Compute this × a.
- multiply(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Compute this × a.
- multiply(UnivariateDifferentiableFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
Multiplies functions.
- multiply(PolynomialFunction) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
-
Multiply the instance by a polynomial.
- multiply(UnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
Multiplies functions.
- multiply(Complex) - Method in class org.apache.commons.math3.complex.Complex
-
Returns a
Complex
whose value isthis * factor
. - multiply(Quaternion) - Method in class org.apache.commons.math3.complex.Quaternion
-
Returns the Hamilton product of the instance by a quaternion.
- multiply(Quaternion, Quaternion) - Static method in class org.apache.commons.math3.complex.Quaternion
-
Returns the Hamilton product of two quaternions.
- multiply(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
-
Multiply this by x.
- multiply(BigFraction) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Multiplies the value of this fraction by another, returning the result in reduced form.
- multiply(Fraction) - Method in class org.apache.commons.math3.fraction.Fraction
-
Multiplies the value of this fraction by another, returning the result in reduced form.
- multiply(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Postmultiplying this matrix by
m
. - multiply(Array2DRowRealMatrix) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Returns the result of postmultiplying
this
bym
. - multiply(BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Returns the result of postmultiplying
this
bym
. - multiply(BlockRealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Returns the result of postmultiplying this by
m
. - multiply(DiagonalMatrix) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
-
Returns the result of postmultiplying
this
bym
. - multiply(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Postmultiply this matrix by
m
. - multiply(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Postmultiply this matrix by
m
. - multiply(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Postmultiply this matrix by
m
. - multiply(OpenMapRealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Postmultiply this matrix by
m
. - multiply(RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns the result of postmultiplying
this
bym
. - multiply(RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Returns the result of postmultiplying
this
bym
. - multiply(RealMatrix) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
-
Returns the result of postmultiplying
this
bym
. - multiply(RealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Returns the result of postmultiplying
this
bym
. - multiply(RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Returns the result of postmultiplying
this
bym
. - multiply(BigReal) - Method in class org.apache.commons.math3.util.BigReal
-
Compute this × a.
- multiply(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
-
Compute this × a.
- multiply(FastMath.Split) - Method in class org.apache.commons.math3.util.FastMath.Split
-
Multiply the instance by another one.
- multiply(T) - Method in interface org.apache.commons.math3.FieldElement
-
Compute this × a.
- Multiply - Class in org.apache.commons.math3.analysis.function
-
Multiply the two operands.
- Multiply() - Constructor for class org.apache.commons.math3.analysis.function.Multiply
- MULTIPLY_TRAP - Static variable in class org.apache.commons.math3.dfp.Dfp
-
Name for traps triggered by multiplication.
- multiplyEntry(int, int, double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Multiplies (in place) the specified entry of
this
matrix by the specified value. - multiplyEntry(int, int, double) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Multiplies (in place) the specified entry of
this
matrix by the specified value. - multiplyEntry(int, int, double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Multiplies (in place) the specified entry of
this
matrix by the specified value. - multiplyEntry(int, int, double) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
-
Multiplies (in place) the specified entry of
this
matrix by the specified value. - multiplyEntry(int, int, double) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Multiplies (in place) the specified entry of
this
matrix by the specified value. - multiplyEntry(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Multiplies (in place) the specified entry of
this
matrix by the specified value. - multiplyEntry(int, int, T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Change an entry in the specified row and column.
- multiplyEntry(int, int, T) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Change an entry in the specified row and column.
- multiplyEntry(int, int, T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Change an entry in the specified row and column.
- multiplyEntry(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Change an entry in the specified row and column.
- multiplyEntry(int, int, T) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
-
Change an entry in the specified row and column.
- multiplyExact(int, int) - Static method in class org.apache.commons.math3.util.FastMath
-
Multiply two numbers, detecting overflows.
- multiplyExact(long, long) - Static method in class org.apache.commons.math3.util.FastMath
-
Multiply two numbers, detecting overflows.
- multiplyFast(int) - Method in class org.apache.commons.math3.dfp.Dfp
-
Multiply this by a single digit 0<=x<radix.
- multiplyInPlace(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Multiply in place.
- MultiStartMultivariateOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar
-
Multi-start optimizer.
- MultiStartMultivariateOptimizer(MultivariateOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer
-
Create a multi-start optimizer from a single-start optimizer.
- MultiStartMultivariateVectorOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector
-
Deprecated.
- MultiStartMultivariateVectorOptimizer(MultivariateVectorOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer
-
Deprecated.Create a multi-start optimizer from a single-start optimizer.
- MultiStartUnivariateOptimizer - Class in org.apache.commons.math3.optim.univariate
-
Special implementation of the
UnivariateOptimizer
interface adding multi-start features to an existing optimizer. - MultiStartUnivariateOptimizer(UnivariateOptimizer, int, RandomGenerator) - Constructor for class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
-
Create a multi-start optimizer from a single-start optimizer.
- MULTISTEP_STARTER_STOPPED_EARLY - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- MultistepFieldIntegrator<T> - Class in org.apache.commons.math3.ode
-
This class is the base class for multistep integrators for Ordinary Differential Equations.
- MultistepFieldIntegrator(Field<T>, String, int, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.MultistepFieldIntegrator
-
Build a multistep integrator with the given stepsize bounds.
- MultistepFieldIntegrator(Field<T>, String, int, int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.MultistepFieldIntegrator
-
Build a multistep integrator with the given stepsize bounds.
- MultistepFieldIntegrator.FieldNordsieckInitializer - Class in org.apache.commons.math3.ode
-
Specialized step handler storing the first step.
- MultistepFieldIntegrator.InitializationCompletedMarkerException - Exception Class in org.apache.commons.math3.ode
-
Marker exception used ONLY to stop the starter integrator after first step.
- MultistepIntegrator - Class in org.apache.commons.math3.ode
-
This class is the base class for multistep integrators for Ordinary Differential Equations.
- MultistepIntegrator(String, int, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.MultistepIntegrator
-
Build a multistep integrator with the given stepsize bounds.
- MultistepIntegrator(String, int, int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.MultistepIntegrator
-
Build a multistep integrator with the given stepsize bounds.
- MultistepIntegrator.InitializationCompletedMarkerException - Exception Class in org.apache.commons.math3.ode
-
Marker exception used ONLY to stop the starter integrator after first step.
- MultistepIntegrator.NordsieckInitializer - Class in org.apache.commons.math3.ode
-
Specialized step handler storing the first step.
- MultistepIntegrator.NordsieckTransformer - Interface in org.apache.commons.math3.ode
-
Deprecated.as of 3.6 this unused interface is deprecated
- MultivariateDifferentiableFunction - Interface in org.apache.commons.math3.analysis.differentiation
-
Extension of
MultivariateFunction
representing a multivariate differentiable real function. - MultivariateDifferentiableMultiStartOptimizer - Class in org.apache.commons.math3.optimization
-
Deprecated.As of 3.1 (to be removed in 4.0).
- MultivariateDifferentiableMultiStartOptimizer(MultivariateDifferentiableOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.MultivariateDifferentiableMultiStartOptimizer
-
Deprecated.Create a multi-start optimizer from a single-start optimizer.
- MultivariateDifferentiableOptimizer - Interface in org.apache.commons.math3.optimization
-
Deprecated.As of 3.1 (to be removed in 4.0).
- MultivariateDifferentiableVectorFunction - Interface in org.apache.commons.math3.analysis.differentiation
-
Extension of
MultivariateVectorFunction
representing a multivariate differentiable vectorial function. - MultivariateDifferentiableVectorMultiStartOptimizer - Class in org.apache.commons.math3.optimization
-
Deprecated.As of 3.1 (to be removed in 4.0).
- MultivariateDifferentiableVectorMultiStartOptimizer(MultivariateDifferentiableVectorOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.MultivariateDifferentiableVectorMultiStartOptimizer
-
Deprecated.Create a multi-start optimizer from a single-start optimizer.
- MultivariateDifferentiableVectorOptimizer - Interface in org.apache.commons.math3.optimization
-
Deprecated.As of 3.1 (to be removed in 4.0).
- MultivariateFunction - Interface in org.apache.commons.math3.analysis
-
An interface representing a multivariate real function.
- MultivariateFunctionMappingAdapter - Class in org.apache.commons.math3.optim.nonlinear.scalar
-
Adapter for mapping bounded
MultivariateFunction
to unbounded ones. - MultivariateFunctionMappingAdapter - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.As of 3.1 (to be removed in 4.0).
- MultivariateFunctionMappingAdapter(MultivariateFunction, double[], double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter
-
Simple constructor.
- MultivariateFunctionMappingAdapter(MultivariateFunction, double[], double[]) - Constructor for class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter
-
Deprecated.Simple constructor.
- MultivariateFunctionMappingAdapter.LowerBoundMapper - Class in org.apache.commons.math3.optim.nonlinear.scalar
-
Local class for lower bounds mapping.
- MultivariateFunctionMappingAdapter.LowerBoundMapper - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.Local class for lower bounds mapping.
- MultivariateFunctionMappingAdapter.LowerUpperBoundMapper - Class in org.apache.commons.math3.optim.nonlinear.scalar
-
Local class for lower and bounds mapping.
- MultivariateFunctionMappingAdapter.LowerUpperBoundMapper - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.Local class for lower and bounds mapping.
- MultivariateFunctionMappingAdapter.Mapper - Interface in org.apache.commons.math3.optim.nonlinear.scalar
-
Mapping interface.
- MultivariateFunctionMappingAdapter.Mapper - Interface in org.apache.commons.math3.optimization.direct
-
Deprecated.Mapping interface.
- MultivariateFunctionMappingAdapter.NoBoundsMapper - Class in org.apache.commons.math3.optim.nonlinear.scalar
-
Local class for no bounds mapping.
- MultivariateFunctionMappingAdapter.NoBoundsMapper - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.Local class for no bounds mapping.
- MultivariateFunctionMappingAdapter.UpperBoundMapper - Class in org.apache.commons.math3.optim.nonlinear.scalar
-
Local class for upper bounds mapping.
- MultivariateFunctionMappingAdapter.UpperBoundMapper - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.Local class for upper bounds mapping.
- MultivariateFunctionPenaltyAdapter - Class in org.apache.commons.math3.optim.nonlinear.scalar
-
Adapter extending bounded
MultivariateFunction
to an unbouded domain using a penalty function. - MultivariateFunctionPenaltyAdapter - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.As of 3.1 (to be removed in 4.0).
- MultivariateFunctionPenaltyAdapter(MultivariateFunction, double[], double[], double, double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionPenaltyAdapter
-
Simple constructor.
- MultivariateFunctionPenaltyAdapter(MultivariateFunction, double[], double[], double, double[]) - Constructor for class org.apache.commons.math3.optimization.direct.MultivariateFunctionPenaltyAdapter
-
Deprecated.Simple constructor.
- MultivariateInterpolator - Interface in org.apache.commons.math3.analysis.interpolation
-
Interface representing a univariate real interpolating function.
- MultivariateJacobianFunction - Interface in org.apache.commons.math3.fitting.leastsquares
-
A interface for functions that compute a vector of values and can compute their derivatives (Jacobian).
- MultivariateMatrixFunction - Interface in org.apache.commons.math3.analysis
-
An interface representing a multivariate matrix function.
- MultivariateMultiStartOptimizer - Class in org.apache.commons.math3.optimization
-
Deprecated.As of 3.1 (to be removed in 4.0).
- MultivariateMultiStartOptimizer(MultivariateOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.MultivariateMultiStartOptimizer
-
Deprecated.Create a multi-start optimizer from a single-start optimizer.
- MultivariateNormalDistribution - Class in org.apache.commons.math3.distribution
-
Implementation of the multivariate normal (Gaussian) distribution.
- MultivariateNormalDistribution(double[], double[][]) - Constructor for class org.apache.commons.math3.distribution.MultivariateNormalDistribution
-
Creates a multivariate normal distribution with the given mean vector and covariance matrix.
- MultivariateNormalDistribution(RandomGenerator, double[], double[][]) - Constructor for class org.apache.commons.math3.distribution.MultivariateNormalDistribution
-
Creates a multivariate normal distribution with the given mean vector and covariance matrix.
- MultivariateNormalMixtureExpectationMaximization - Class in org.apache.commons.math3.distribution.fitting
-
Expectation-Maximization algorithm for fitting the parameters of multivariate normal mixture model distributions.
- MultivariateNormalMixtureExpectationMaximization(double[][]) - Constructor for class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization
-
Creates an object to fit a multivariate normal mixture model to data.
- MultivariateNormalMixtureExpectationMaximization.DataRow - Class in org.apache.commons.math3.distribution.fitting
-
Class used for sorting user-supplied data.
- MultivariateOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar
-
Base class for a multivariate scalar function optimizer.
- MultivariateOptimizer - Interface in org.apache.commons.math3.optimization
-
Deprecated.As of 3.1 (to be removed in 4.0).
- MultivariateOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
- MultivariateRealDistribution - Interface in org.apache.commons.math3.distribution
-
Base interface for multivariate distributions on the reals.
- MultivariateSummaryStatistics - Class in org.apache.commons.math3.stat.descriptive
-
Computes summary statistics for a stream of n-tuples added using the
addValue
method. - MultivariateSummaryStatistics(int, boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Construct a MultivariateSummaryStatistics instance
- MultivariateVectorFunction - Interface in org.apache.commons.math3.analysis
-
An interface representing a multivariate vectorial function.
- MultivariateVectorOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector
-
Deprecated.
- MultivariateVectorOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
-
Deprecated.
- mutate(Chromosome) - Method in class org.apache.commons.math3.genetics.BinaryMutation
-
Mutate the given chromosome.
- mutate(Chromosome) - Method in interface org.apache.commons.math3.genetics.MutationPolicy
-
Mutate the given chromosome.
- mutate(Chromosome) - Method in class org.apache.commons.math3.genetics.RandomKeyMutation
-
Mutate the given chromosome.
- MUTATION_RATE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- mutationPolicy - Variable in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
the mutation policy used by the algorithm.
- MutationPolicy - Interface in org.apache.commons.math3.genetics
-
Algorithm used to mutate a chromosome.
- mutationRate - Variable in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
the rate of mutation for the algorithm.
N
- n - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
-
Number of spline segments.
- n - Variable in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
-
Deprecated.Number of observations.
- n - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition
-
min(row dimension, column dimension).
- n - Variable in class org.apache.commons.math3.stat.correlation.Covariance
-
Number of observations (length of covariate vectors)
- n - Variable in class org.apache.commons.math3.stat.correlation.StorelessBivariateCovariance
-
number of observations
- n - Variable in class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
-
Count of values that have been added
- n - Variable in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
-
Number of vectors in the sample.
- n - Variable in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Count of values that have been added
- n - Variable in class org.apache.commons.math3.stat.descriptive.rank.Max
-
Number of values that have been added
- n - Variable in class org.apache.commons.math3.stat.descriptive.rank.Min
-
Number of values that have been added
- n - Variable in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
-
The number of observations in the sample
- n - Variable in class org.apache.commons.math3.stat.descriptive.summary.Product
-
The number of values that have been added
- n - Variable in class org.apache.commons.math3.stat.descriptive.summary.Sum
- n - Variable in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
-
Number of values that have been added
- n - Variable in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
- n - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
count of values that have been added
- n - Variable in class org.apache.commons.math3.stat.regression.SimpleRegression
-
number of observations
- n - Variable in class org.apache.commons.math3.util.Combinations.LexicographicComparator
-
Size of the set from which combinations are drawn.
- n - Variable in class org.apache.commons.math3.util.Combinations
-
Size of the set from which combinations are drawn.
- n(int, int, int, int, long, boolean) - Static method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
The function N(i, j) defined in [4] (class javadoc).
- N - Static variable in class org.apache.commons.math3.analysis.interpolation.BicubicFunction
-
Number of points.
- N - Static variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
-
Number of points.
- N - Static variable in class org.apache.commons.math3.analysis.interpolation.TricubicFunction
-
Number of points.
- N - Static variable in class org.apache.commons.math3.analysis.interpolation.TricubicSplineFunction
-
Number of points.
- N - Static variable in class org.apache.commons.math3.random.MersenneTwister
-
Size of the bytes pool.
- N_POINTS_GAUSS_LEGENDRE_INTEGRATOR_NOT_SUPPORTED - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NakagamiDistribution - Class in org.apache.commons.math3.distribution
-
This class implements the Nakagami distribution.
- NakagamiDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.NakagamiDistribution
-
Build a new instance.
- NakagamiDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.NakagamiDistribution
-
Build a new instance.
- NakagamiDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.NakagamiDistribution
-
Build a new instance.
- name - Variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
-
Name of the rotations order.
- name - Variable in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Name of the method.
- name - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
-
Name of the method.
- name - Variable in exception class org.apache.commons.math3.ode.UnknownParameterException
-
Parameter name.
- name - Variable in enum org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType
-
Simple name such as R-1, R-2 corresponding to those in wikipedia.
- nan - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Deprecated.Not A Number marker.
- NaN - Static variable in class org.apache.commons.math3.complex.Complex
-
A complex number representing "NaN + NaNi"
- NaN - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
A vector with all coordinates set to NaN.
- NaN - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
A vector with all coordinates set to NaN.
- NaN - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
A vector with all coordinates set to NaN.
- NaN - Static variable in class org.apache.commons.math3.geometry.spherical.oned.S1Point
-
A vector with all coordinates set to NaN.
- NaN - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point
-
A vector with all coordinates set to NaN.
- NAN - Static variable in class org.apache.commons.math3.util.Decimal64
-
The constant value of
Double.NaN
as aDecimal64
. - NAN - Static variable in class org.apache.commons.math3.util.FastMath.Split
-
Split version of NaN.
- NAN_ELEMENT_AT_INDEX - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NAN_NOT_ALLOWED - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NAN_STRING - Static variable in class org.apache.commons.math3.dfp.Dfp
-
String for NaN representation.
- NAN_VALUE_CONVERSION - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- nans - Variable in class org.apache.commons.math3.dfp.Dfp
-
Indicator for non-finite / non-number values.
- nanStrategy - Variable in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
NaN Handling of the input as defined by
NaNStrategy
- nanStrategy - Variable in class org.apache.commons.math3.stat.ranking.NaturalRanking
-
NaN strategy - defaults to NaNs maximal
- NaNStrategy - Enum in org.apache.commons.math3.stat.ranking
-
Strategies for handling NaN values in rank transformations.
- NaNStrategy() - Constructor for enum org.apache.commons.math3.stat.ranking.NaNStrategy
- natural(int) - Static method in class org.apache.commons.math3.util.MathArrays
-
Returns an array representing the natural number
n
. - NaturalComparator() - Constructor for class org.apache.commons.math3.stat.Frequency.NaturalComparator
- naturalFollowerConnections(List<PolygonsSet.ConnectableSegment>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
-
Connect the segments using only natural follower information.
- naturalRanking - Variable in class org.apache.commons.math3.stat.inference.MannWhitneyUTest
-
Ranking algorithm.
- naturalRanking - Variable in class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
-
Ranking algorithm.
- NaturalRanking - Class in org.apache.commons.math3.stat.ranking
-
Ranking based on the natural ordering on doubles.
- NaturalRanking() - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Create a NaturalRanking with default strategies for handling ties and NaNs.
- NaturalRanking(RandomGenerator) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Create a NaturalRanking with TiesStrategy.RANDOM and the given RandomGenerator as the source of random data.
- NaturalRanking(NaNStrategy) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Create a NaturalRanking with the given NaNStrategy.
- NaturalRanking(NaNStrategy, RandomGenerator) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Create a NaturalRanking with the given NaNStrategy, TiesStrategy.RANDOM and the given source of random data.
- NaturalRanking(NaNStrategy, TiesStrategy) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Create a NaturalRanking with the given NaNStrategy and TiesStrategy.
- NaturalRanking(TiesStrategy) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Create a NaturalRanking with the given TiesStrategy.
- NaturalRanking.IntDoublePair - Class in org.apache.commons.math3.stat.ranking
-
Represents the position of a double value in an ordering.
- nbPoints - Variable in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
-
Number of points to use.
- nDev - Variable in class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
-
Deviation of most recently added value from previous first moment, normalized by previous sample size.
- nDevSq - Variable in class org.apache.commons.math3.stat.descriptive.moment.ThirdMoment
-
Square of deviation of most recently added value from previous first moment, normalized by previous sample size.
- NEG_INFINITY_STRING - Static variable in class org.apache.commons.math3.dfp.Dfp
-
String for negative infinity representation.
- negate() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Returns the additive inverse of
this
element. - negate() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Returns the additive inverse of
this
element. - negate() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
-
Negate the instance.
- negate() - Method in class org.apache.commons.math3.complex.Complex
-
Returns a
Complex
whose value is(-this)
. - negate() - Method in class org.apache.commons.math3.dfp.Dfp
-
Returns a number that is this number with the sign bit reversed.
- negate() - Method in interface org.apache.commons.math3.FieldElement
-
Returns the additive inverse of
this
element. - negate() - Method in class org.apache.commons.math3.fraction.BigFraction
-
Return the additive inverse of this fraction, returning the result in reduced form.
- negate() - Method in class org.apache.commons.math3.fraction.Fraction
-
Return the additive inverse of this fraction.
- negate() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Get the opposite of the instance.
- negate() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Get the opposite of the instance.
- negate() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Get the opposite of the instance.
- negate() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Get the opposite of the instance.
- negate() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
-
Get the opposite of the instance.
- negate() - Method in interface org.apache.commons.math3.geometry.Vector
-
Get the opposite of the instance.
- negate() - Method in class org.apache.commons.math3.util.BigReal
-
Returns the additive inverse of
this
element. - negate() - Method in class org.apache.commons.math3.util.Decimal64
-
Returns the additive inverse of
this
element. - NEGATIVE_BRIGHTNESS_EXPONENT - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NEGATIVE_COMPLEX_MODULE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NEGATIVE_ELEMENT_AT_2D_INDEX - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NEGATIVE_ELEMENT_AT_INDEX - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NEGATIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
A vector with all coordinates set to negative infinity.
- NEGATIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
A vector with all coordinates set to negative infinity.
- NEGATIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
A vector with all coordinates set to negative infinity.
- NEGATIVE_INFINITY - Static variable in class org.apache.commons.math3.util.Decimal64
-
The constant value of
Double.NEGATIVE_INFINITY
as aDecimal64
. - NEGATIVE_INFINITY - Static variable in class org.apache.commons.math3.util.FastMath.Split
-
Split version of negative infinity.
- NEGATIVE_NUMBER_OF_SUCCESSES - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NEGATIVE_NUMBER_OF_TRIALS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NEGATIVE_VAR_COLUMN_LABEL - Static variable in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Column label for negative vars.
- NEGATIVE_VAR_COLUMN_LABEL - Static variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Column label for negative vars.
- NEGATIVE_ZERO_DOUBLE_BITS - Static variable in class org.apache.commons.math3.util.Precision
-
Negative zero bits.
- NEGATIVE_ZERO_FLOAT_BITS - Static variable in class org.apache.commons.math3.util.Precision
-
Negative zero bits.
- negativeOrNull() - Method in class org.apache.commons.math3.dfp.Dfp
-
Check if instance is less than or equal to 0.
- negInf - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Deprecated.Negative infinity marker.
- neighbourhood - Variable in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
-
Neighbourhood type.
- neighbourhood - Variable in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D.SerializationProxy
-
Neighbourhood type.
- neighbourhoodSize - Variable in class org.apache.commons.math3.ml.neuralnet.sofm.KohonenUpdateAction
-
Neighbourhood size update function.
- NeighbourhoodSizeFunction - Interface in org.apache.commons.math3.ml.neuralnet.sofm
-
Provides the network neighbourhood's size as a function of the number of calls already performed during the learning task.
- NeighbourhoodSizeFunctionFactory - Class in org.apache.commons.math3.ml.neuralnet.sofm
-
Factory for creating instances of
NeighbourhoodSizeFunction
. - NeighbourhoodSizeFunctionFactory() - Constructor for class org.apache.commons.math3.ml.neuralnet.sofm.NeighbourhoodSizeFunctionFactory
-
Class contains only static methods.
- neighbourIdList - Variable in class org.apache.commons.math3.ml.neuralnet.Network.SerializationProxy
-
Links.
- NEITHER - Enum constant in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds
-
Do not include the first and last points.
- NelderMeadSimplex - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
-
This class implements the Nelder-Mead simplex algorithm.
- NelderMeadSimplex - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.As of 3.1 (to be removed in 4.0).
- NelderMeadSimplex(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
-
Build a Nelder-Mead simplex with default coefficients.
- NelderMeadSimplex(double[]) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
-
Deprecated.Build a Nelder-Mead simplex with default coefficients.
- NelderMeadSimplex(double[][]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
-
Build a Nelder-Mead simplex with default coefficients.
- NelderMeadSimplex(double[][]) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
-
Deprecated.Build a Nelder-Mead simplex with default coefficients.
- NelderMeadSimplex(double[][], double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
-
Build a Nelder-Mead simplex with specified coefficients.
- NelderMeadSimplex(double[][], double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
-
Deprecated.Build a Nelder-Mead simplex with specified coefficients.
- NelderMeadSimplex(double[], double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
-
Build a Nelder-Mead simplex with specified coefficients.
- NelderMeadSimplex(double[], double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
-
Deprecated.Build a Nelder-Mead simplex with specified coefficients.
- NelderMeadSimplex(int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
-
Build a Nelder-Mead simplex with default coefficients.
- NelderMeadSimplex(int) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
-
Deprecated.Build a Nelder-Mead simplex with default coefficients.
- NelderMeadSimplex(int, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
-
Build a Nelder-Mead simplex with default coefficients.
- NelderMeadSimplex(int, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
-
Deprecated.Build a Nelder-Mead simplex with default coefficients.
- NelderMeadSimplex(int, double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
-
Build a Nelder-Mead simplex with specified coefficients.
- NelderMeadSimplex(int, double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
-
Deprecated.Build a Nelder-Mead simplex with specified coefficients.
- NelderMeadSimplex(int, double, double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
-
Build a Nelder-Mead simplex with specified coefficients.
- NelderMeadSimplex(int, double, double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
-
Deprecated.Build a Nelder-Mead simplex with specified coefficients.
- NestedLoops - Class in org.apache.commons.math3.geometry.euclidean.twod
-
This class represent a tree of nested 2D boundary loops.
- NestedLoops(double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.NestedLoops
-
Simple Constructor.
- NestedLoops(Vector2D[], double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.NestedLoops
-
Constructor.
- net - Variable in class org.apache.commons.math3.ml.neuralnet.sofm.KohonenTrainingTask
-
SOFM to be trained.
- network - Variable in class org.apache.commons.math3.ml.neuralnet.oned.NeuronString
-
Underlying network.
- network - Variable in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
-
Underlying network.
- Network - Class in org.apache.commons.math3.ml.neuralnet
-
Neural network, composed of
Neuron
instances and the links between them. - Network(long, int) - Constructor for class org.apache.commons.math3.ml.neuralnet.Network
- Network(long, int, Neuron[], long[][]) - Constructor for class org.apache.commons.math3.ml.neuralnet.Network
-
Constructor with restricted access, solely used for deserialization.
- Network.NeuronIdentifierComparator - Class in org.apache.commons.math3.ml.neuralnet
-
Comparator that prescribes an order of the neurons according to the increasing order of their identifier.
- Network.SerializationProxy - Class in org.apache.commons.math3.ml.neuralnet
-
Serialization.
- neuron - Variable in class org.apache.commons.math3.ml.neuralnet.MapUtils.PairNeuronDouble
-
Key.
- Neuron - Class in org.apache.commons.math3.ml.neuralnet
-
Describes a neuron element of a neural network.
- Neuron(long, double[]) - Constructor for class org.apache.commons.math3.ml.neuralnet.Neuron
-
Creates a neuron.
- Neuron.SerializationProxy - Class in org.apache.commons.math3.ml.neuralnet
-
Serialization.
- NeuronIdentifierComparator() - Constructor for class org.apache.commons.math3.ml.neuralnet.Network.NeuronIdentifierComparator
- neuronList - Variable in class org.apache.commons.math3.ml.neuralnet.Network.SerializationProxy
-
Neurons.
- neuronMap - Variable in class org.apache.commons.math3.ml.neuralnet.Network
-
Neurons.
- NeuronSquareMesh2D - Class in org.apache.commons.math3.ml.neuralnet.twod
-
Neural network with the topology of a two-dimensional surface.
- NeuronSquareMesh2D(boolean, boolean, SquareNeighbourhood, double[][][]) - Constructor for class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
-
Constructor with restricted access, solely used for deserialization.
- NeuronSquareMesh2D(boolean, boolean, SquareNeighbourhood, Network, long[][]) - Constructor for class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
-
Constructor with restricted access, solely used for making a
deep copy
. - NeuronSquareMesh2D(int, boolean, int, boolean, SquareNeighbourhood, FeatureInitializer[]) - Constructor for class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
-
Creates a two-dimensional network composed of square cells: Each neuron not located on the border of the mesh has four neurons linked to it.
- NeuronSquareMesh2D.HorizontalDirection - Enum in org.apache.commons.math3.ml.neuralnet.twod
-
Horizontal (along row) direction.
- NeuronSquareMesh2D.SerializationProxy - Class in org.apache.commons.math3.ml.neuralnet.twod
-
Serialization.
- NeuronSquareMesh2D.VerticalDirection - Enum in org.apache.commons.math3.ml.neuralnet.twod
-
Vertical (along column) direction.
- NeuronString - Class in org.apache.commons.math3.ml.neuralnet.oned
-
Neural network with the topology of a one-dimensional line.
- NeuronString(boolean, double[][]) - Constructor for class org.apache.commons.math3.ml.neuralnet.oned.NeuronString
-
Constructor with restricted access, solely used for deserialization.
- NeuronString(int, boolean, FeatureInitializer[]) - Constructor for class org.apache.commons.math3.ml.neuralnet.oned.NeuronString
-
Creates a one-dimensional network: Each neuron not located on the border of the mesh has two neurons linked to it.
- NeuronString.SerializationProxy - Class in org.apache.commons.math3.ml.neuralnet.oned
-
Serialization.
- NevilleInterpolator - Class in org.apache.commons.math3.analysis.interpolation
-
Implements the Neville's Algorithm for interpolation of real univariate functions.
- NevilleInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.NevilleInterpolator
- NEW_INSTANCE_TRAP - Static variable in class org.apache.commons.math3.dfp.Dfp
-
Name for traps triggered by newInstance.
- newCovarianceData(double[][]) - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
-
Add the covariance data.
- newDfp() - Method in class org.apache.commons.math3.dfp.DfpField
-
Makes a
Dfp
with a value of 0. - newDfp(byte) - Method in class org.apache.commons.math3.dfp.DfpField
-
Create an instance from a byte value.
- newDfp(byte, byte) - Method in class org.apache.commons.math3.dfp.DfpField
-
Creates a
Dfp
with a non-finite value. - newDfp(double) - Method in class org.apache.commons.math3.dfp.DfpField
-
Create an instance from a double value.
- newDfp(int) - Method in class org.apache.commons.math3.dfp.DfpField
-
Create an instance from an int value.
- newDfp(long) - Method in class org.apache.commons.math3.dfp.DfpField
-
Create an instance from a long value.
- newDfp(String) - Method in class org.apache.commons.math3.dfp.DfpField
-
Create a
Dfp
given a String representation. - newDfp(Dfp) - Method in class org.apache.commons.math3.dfp.DfpField
-
Copy constructor.
- newFixedLengthChromosome(List<T>) - Method in class org.apache.commons.math3.genetics.AbstractListChromosome
-
Creates a new instance of the same class as
this
is, with a givenarrayRepresentation
. - newInstance() - Method in class org.apache.commons.math3.dfp.Dfp
-
Create an instance with a value of 0.
- newInstance() - Method in class org.apache.commons.math3.dfp.DfpDec
-
Create an instance with a value of 0.
- newInstance(byte) - Method in class org.apache.commons.math3.dfp.Dfp
-
Create an instance from a byte value.
- newInstance(byte) - Method in class org.apache.commons.math3.dfp.DfpDec
-
Create an instance from a byte value.
- newInstance(byte, byte) - Method in class org.apache.commons.math3.dfp.Dfp
-
Creates an instance with a non-finite value.
- newInstance(byte, byte) - Method in class org.apache.commons.math3.dfp.DfpDec
-
Creates an instance with a non-finite value.
- newInstance(double) - Method in class org.apache.commons.math3.dfp.Dfp
-
Create an instance from a double value.
- newInstance(double) - Method in class org.apache.commons.math3.dfp.DfpDec
-
Create an instance from a double value.
- newInstance(int) - Method in class org.apache.commons.math3.dfp.Dfp
-
Create an instance from an int value.
- newInstance(int) - Method in class org.apache.commons.math3.dfp.DfpDec
-
Create an instance from an int value.
- newInstance(long) - Method in class org.apache.commons.math3.dfp.Dfp
-
Create an instance from a long value.
- newInstance(long) - Method in class org.apache.commons.math3.dfp.DfpDec
-
Create an instance from a long value.
- newInstance(String) - Method in class org.apache.commons.math3.dfp.Dfp
-
Create an instance from a String representation.
- newInstance(String) - Method in class org.apache.commons.math3.dfp.DfpDec
-
Create an instance from a String representation.
- newInstance(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
-
Create an instance by copying an existing one.
- newInstance(Dfp) - Method in class org.apache.commons.math3.dfp.DfpDec
-
Create an instance by copying an existing one.
- newMarkers(List<Double>, double) - Static method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
-
A creation method to build Markers
- newPoint - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
- newPoint - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.
- newPointAndDirection(double[], double[], double) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
-
Compute a new point (in the original space) and a new direction vector, resulting from the line search.
- newPointAndDirection(double[], double[], double) - Method in class org.apache.commons.math3.optimization.direct.PowellOptimizer
-
Deprecated.Compute a new point (in the original space) and a new direction vector, resulting from the line search.
- newSampleData(double[], double[][]) - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
-
Loads model x and y sample data, overriding any previous sample.
- newSampleData(double[], double[][], double[][]) - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
-
Replace sample data, overriding any previous sample.
- newSampleData(double[], int, int) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Loads model x and y sample data from a flat input array, overriding any previous sample.
- newSampleData(double[], int, int) - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
-
Loads model x and y sample data from a flat input array, overriding any previous sample.
- NewtonRaphsonSolver - Class in org.apache.commons.math3.analysis.solvers
-
Implements Newton's Method for finding zeros of real univariate differentiable functions.
- NewtonRaphsonSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.NewtonRaphsonSolver
-
Construct a solver.
- NewtonRaphsonSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.NewtonRaphsonSolver
-
Construct a solver.
- NewtonSolver - Class in org.apache.commons.math3.analysis.solvers
-
Deprecated.as of 3.1, replaced by
NewtonRaphsonSolver
- NewtonSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.NewtonSolver
-
Deprecated.Construct a solver.
- NewtonSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.NewtonSolver
-
Deprecated.Construct a solver.
- newXSampleData(double[][]) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Loads new x sample data, overriding any previous data.
- newXSampleData(double[][]) - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
-
Loads new x sample data, overriding any previous data.
- newYSampleData(double[]) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Loads new y sample data, overriding any previous data.
- next - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.ConnectableSegment
-
Next segment.
- next - Variable in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
-
Next entry for
RealVector.SparseEntryIterator.next()
to return. - next - Variable in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Marker
-
Next and previous markers for easy linked navigation in loops.
- next - Variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator
-
Index of next element.
- next - Variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator
-
Index of next element.
- next() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet.SubIntervalsIterator
- next() - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet.SubArcsIterator
- next() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapSparseIterator
- next() - Method in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
- next() - Method in class org.apache.commons.math3.util.Combinations.LexicographicIterator
- next() - Method in class org.apache.commons.math3.util.Combinations.SingletonIterator
- next() - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor
- next() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
- next(int) - Method in class org.apache.commons.math3.random.AbstractWell
-
Generate next pseudorandom number.
- next(int) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
-
Generate next pseudorandom number.
- next(int) - Method in class org.apache.commons.math3.random.ISAACRandom
-
Generate next pseudorandom number.
- next(int) - Method in class org.apache.commons.math3.random.MersenneTwister
-
Generate next pseudorandom number.
- next(int) - Method in class org.apache.commons.math3.random.Well1024a
-
Generate next pseudorandom number.
- next(int) - Method in class org.apache.commons.math3.random.Well19937a
-
Generate next pseudorandom number.
- next(int) - Method in class org.apache.commons.math3.random.Well19937c
-
Generate next pseudorandom number.
- next(int) - Method in class org.apache.commons.math3.random.Well44497a
-
Generate next pseudorandom number.
- next(int) - Method in class org.apache.commons.math3.random.Well44497b
-
Generate next pseudorandom number.
- next(int) - Method in class org.apache.commons.math3.random.Well512a
-
Generate next pseudorandom number.
- next(PSquarePercentile.Marker) - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Marker
-
Sets the next marker.
- NEXT_AFTER_TRAP - Static variable in class org.apache.commons.math3.dfp.Dfp
-
Name for traps triggered by nextAfter.
- nextAction - Variable in class org.apache.commons.math3.ode.events.EventState
-
Next action indicator.
- nextAction - Variable in class org.apache.commons.math3.ode.events.FieldEventState
-
Next action indicator.
- nextAfter(double, double) - Static method in class org.apache.commons.math3.util.FastMath
-
Get the next machine representable number after a number, moving in the direction of another number.
- nextAfter(float, double) - Static method in class org.apache.commons.math3.util.FastMath
-
Get the next machine representable number after a number, moving in the direction of another number.
- nextAfter(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
-
Returns the next number greater than this one in the direction of x.
- nextAfter(Dfp) - Method in class org.apache.commons.math3.dfp.DfpDec
-
Returns the next number greater than this one in the direction of x.
- nextBeta(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates a random value from the
Beta Distribution
. - nextBeta(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.Generates a random value from the
Beta Distribution
. - nextBinomial(int, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates a random value from the
Binomial Distribution
. - nextBinomial(int, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.Generates a random value from the
Binomial Distribution
. - nextBoolean() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
-
Returns the next pseudorandom, uniformly distributed
boolean
value from this random number generator's sequence. - nextBoolean() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
-
Returns the next pseudorandom, uniformly distributed
boolean
value from this random number generator's sequence. - nextBoolean() - Method in class org.apache.commons.math3.random.RandomAdaptor
-
Returns the next pseudorandom, uniformly distributed
boolean
value from this random number generator's sequence. - nextBoolean() - Method in interface org.apache.commons.math3.random.RandomGenerator
-
Returns the next pseudorandom, uniformly distributed
boolean
value from this random number generator's sequence. - nextBoolean() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
-
Returns the next pseudorandom, uniformly distributed
boolean
value from this random number generator's sequence. - nextBytes(byte[]) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
-
Generates random bytes and places them into a user-supplied byte array.
- nextBytes(byte[]) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
-
Generates random bytes and places them into a user-supplied array.
- nextBytes(byte[]) - Method in class org.apache.commons.math3.random.RandomAdaptor
-
Generates random bytes and places them into a user-supplied byte array.
- nextBytes(byte[]) - Method in interface org.apache.commons.math3.random.RandomGenerator
-
Generates random bytes and places them into a user-supplied byte array.
- nextBytes(byte[]) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
-
Generates random bytes and places them into a user-supplied byte array.
- nextBytes(byte[], int, int) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
-
Generates random bytes and places them into a user-supplied array.
- nextBytesFill(byte[], int, int) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
-
Generates random bytes and places them into a user-supplied array.
- nextCauchy(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates a random value from the
Cauchy Distribution
. - nextCauchy(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.Generates a random value from the
Cauchy Distribution
. - nextChiSquare(double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates a random value from the
ChiSquare Distribution
. - nextChiSquare(double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.Generates a random value from the
ChiSquare Distribution
. - nextDouble() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
-
Returns the next pseudorandom, uniformly distributed
double
value between0.0
and1.0
from this random number generator's sequence. - nextDouble() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
-
Returns the next pseudorandom, uniformly distributed
double
value between0.0
and1.0
from this random number generator's sequence. - nextDouble() - Method in class org.apache.commons.math3.random.RandomAdaptor
-
Returns the next pseudorandom, uniformly distributed
double
value between0.0
and1.0
from this random number generator's sequence. - nextDouble() - Method in interface org.apache.commons.math3.random.RandomGenerator
-
Returns the next pseudorandom, uniformly distributed
double
value between0.0
and1.0
from this random number generator's sequence. - nextDouble() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
-
Returns the next pseudorandom, uniformly distributed
double
value between0.0
and1.0
from this random number generator's sequence. - nextDown(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute next number towards negative infinity.
- nextDown(float) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute next number towards negative infinity.
- nextExponential(double) - Method in interface org.apache.commons.math3.random.RandomData
-
Deprecated.Generates a random value from the exponential distribution with specified mean.
- nextExponential(double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates a random value from the exponential distribution with specified mean.
- nextExponential(double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.Generates a random value from the exponential distribution with specified mean.
- nextF(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates a random value from the
F Distribution
. - nextF(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.Generates a random value from the
F Distribution
. - nextFloat() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
-
Returns the next pseudorandom, uniformly distributed
float
value between0.0
and1.0
from this random number generator's sequence. - nextFloat() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
-
Returns the next pseudorandom, uniformly distributed
float
value between0.0
and1.0
from this random number generator's sequence. - nextFloat() - Method in class org.apache.commons.math3.random.RandomAdaptor
-
Returns the next pseudorandom, uniformly distributed
float
value between0.0
and1.0
from this random number generator's sequence. - nextFloat() - Method in interface org.apache.commons.math3.random.RandomGenerator
-
Returns the next pseudorandom, uniformly distributed
float
value between0.0
and1.0
from this random number generator's sequence. - nextFloat() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
-
Returns the next pseudorandom, uniformly distributed
float
value between0.0
and1.0
from this random number generator's sequence. - nextGamma(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates a random value from the
Gamma Distribution
. - nextGamma(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.Generates a random value from the
Gamma Distribution
. - nextGaussian - Variable in class org.apache.commons.math3.random.BitsStreamGenerator
-
Next gaussian.
- nextGaussian() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
-
Returns the next pseudorandom, Gaussian ("normally") distributed
double
value with mean0.0
and standard deviation1.0
from this random number generator's sequence. - nextGaussian() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
-
Returns the next pseudorandom, Gaussian ("normally") distributed
double
value with mean0.0
and standard deviation1.0
from this random number generator's sequence. - nextGaussian() - Method in class org.apache.commons.math3.random.RandomAdaptor
-
Returns the next pseudorandom, Gaussian ("normally") distributed
double
value with mean0.0
and standard deviation1.0
from this random number generator's sequence. - nextGaussian() - Method in interface org.apache.commons.math3.random.RandomGenerator
-
Returns the next pseudorandom, Gaussian ("normally") distributed
double
value with mean0.0
and standard deviation1.0
from this random number generator's sequence. - nextGaussian() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
-
Returns the next pseudorandom, Gaussian ("normally") distributed
double
value with mean0.0
and standard deviation1.0
from this random number generator's sequence. - nextGaussian(double, double) - Method in interface org.apache.commons.math3.random.RandomData
-
Deprecated.Generates a random value from the Normal (or Gaussian) distribution with specified mean and standard deviation.
- nextGaussian(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates a random value from the Normal (or Gaussian) distribution with specified mean and standard deviation.
- nextGaussian(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.Generates a random value from the Normal (or Gaussian) distribution with specified mean and standard deviation.
- nextGeneration() - Method in class org.apache.commons.math3.genetics.ElitisticListPopulation
-
Start the population for the next generation.
- nextGeneration() - Method in interface org.apache.commons.math3.genetics.Population
-
Start the population for the next generation.
- nextGeneration(Population) - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
Evolve the given population into the next generation.
- nextHexString(int) - Method in interface org.apache.commons.math3.random.RandomData
-
Deprecated.Generates a random string of hex characters of length
len
. - nextHexString(int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates a random string of hex characters of length
len
. - nextHexString(int) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.Generates a random string of hex characters of length
len
. - nextHypergeometric(int, int, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates a random value from the
Hypergeometric Distribution
. - nextHypergeometric(int, int, int) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.Generates a random value from the
Hypergeometric Distribution
. - nextId - Variable in class org.apache.commons.math3.ml.neuralnet.Network
-
Next available neuron identifier.
- nextId - Variable in class org.apache.commons.math3.ml.neuralnet.Network.SerializationProxy
-
Next identifier.
- nextIndex(int, int) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolator
-
Deprecated.Computes the next index of an array, clipping if necessary.
- nextIndex(int, int) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolator
-
Deprecated.Compute the next index of an array, clipping if necessary.
- nextInt() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
-
Returns the next pseudorandom, uniformly distributed
int
value from this random number generator's sequence. - nextInt() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
-
Returns the next pseudorandom, uniformly distributed
int
value from this random number generator's sequence. - nextInt() - Method in class org.apache.commons.math3.random.RandomAdaptor
-
Returns the next pseudorandom, uniformly distributed
int
value from this random number generator's sequence. - nextInt() - Method in interface org.apache.commons.math3.random.RandomGenerator
-
Returns the next pseudorandom, uniformly distributed
int
value from this random number generator's sequence. - nextInt() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
-
Returns the next pseudorandom, uniformly distributed
int
value from this random number generator's sequence. - nextInt(int) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
-
Returns a pseudorandom, uniformly distributed
int
value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence. - nextInt(int) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
-
Returns a pseudorandom, uniformly distributed
int
value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence. - nextInt(int) - Method in class org.apache.commons.math3.random.RandomAdaptor
-
Returns a pseudorandom, uniformly distributed
int
value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence. - nextInt(int) - Method in interface org.apache.commons.math3.random.RandomGenerator
-
Returns a pseudorandom, uniformly distributed
int
value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence. - nextInt(int) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
-
Returns a pseudorandom, uniformly distributed
int
value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence. - nextInt(int, int) - Method in interface org.apache.commons.math3.random.RandomData
-
Deprecated.Generates a uniformly distributed random integer between
lower
andupper
(endpoints included). - nextInt(int, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates a uniformly distributed random integer between
lower
andupper
(endpoints included). - nextInt(int, int) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.Generates a uniformly distributed random integer between
lower
andupper
(endpoints included). - nextInternalNode(BSPTree<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Get the next internal node.
- nextInternalNode(BSPTree<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
-
Get the next internal node.
- nextInversionDeviate(IntegerDistribution) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.use the distribution's sample() method
- nextInversionDeviate(RealDistribution) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.use the distribution's sample() method
- nextLong() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
-
Returns the next pseudorandom, uniformly distributed
long
value from this random number generator's sequence. - nextLong() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
-
Returns the next pseudorandom, uniformly distributed
long
value from this random number generator's sequence. - nextLong() - Method in class org.apache.commons.math3.random.RandomAdaptor
-
Returns the next pseudorandom, uniformly distributed
long
value from this random number generator's sequence. - nextLong() - Method in interface org.apache.commons.math3.random.RandomGenerator
-
Returns the next pseudorandom, uniformly distributed
long
value from this random number generator's sequence. - nextLong() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
-
Returns the next pseudorandom, uniformly distributed
long
value from this random number generator's sequence. - nextLong(long) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
-
Returns a pseudorandom, uniformly distributed
long
value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence. - nextLong(long, long) - Method in interface org.apache.commons.math3.random.RandomData
-
Deprecated.Generates a uniformly distributed random long integer between
lower
andupper
(endpoints included). - nextLong(long, long) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates a uniformly distributed random long integer between
lower
andupper
(endpoints included). - nextLong(long, long) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.Generates a uniformly distributed random long integer between
lower
andupper
(endpoints included). - nextLong(RandomGenerator, long) - Static method in class org.apache.commons.math3.random.RandomDataGenerator
-
Returns a pseudorandom, uniformly distributed
long
value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence. - nextNonzero(double[], int) - Static method in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
-
Return the smallest index
j
such thatj > i && (j == weights.length || weights[j] != 0)
. - nextNormalizedDouble() - Method in class org.apache.commons.math3.random.GaussianRandomGenerator
-
Generate a random scalar with null mean and unit standard deviation.
- nextNormalizedDouble() - Method in interface org.apache.commons.math3.random.NormalizedRandomGenerator
-
Generate a random scalar with null mean and unit standard deviation.
- nextNormalizedDouble() - Method in class org.apache.commons.math3.random.StableRandomGenerator
-
Generate a random scalar with zero location and unit scale.
- nextNormalizedDouble() - Method in class org.apache.commons.math3.random.UniformRandomGenerator
-
Generate a random scalar with null mean and unit standard deviation.
- nextPascal(int, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates a random value from the
Pascal Distribution
. - nextPascal(int, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.Generates a random value from the
Pascal Distribution
. - nextPermutation(int, int) - Method in interface org.apache.commons.math3.random.RandomData
-
Deprecated.Generates an integer array of length
k
whose entries are selected randomly, without repetition, from the integers0, ..., n - 1
(inclusive). - nextPermutation(int, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates an integer array of length
k
whose entries are selected randomly, without repetition, from the integers0, ..., n - 1
(inclusive). - nextPermutation(int, int) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.Generates an integer array of length
k
whose entries are selected randomly, without repetition, from the integers0, ..., n - 1
(inclusive). - nextPoisson(double) - Method in class org.apache.commons.math3.distribution.PoissonDistribution
- nextPoisson(double) - Method in interface org.apache.commons.math3.random.RandomData
-
Deprecated.Generates a random value from the Poisson distribution with the given mean.
- nextPoisson(double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates a random value from the Poisson distribution with the given mean.
- nextPoisson(double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.Generates a random value from the Poisson distribution with the given mean.
- nextPowerOfTwo(int) - Static method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Find the smallest power of two greater than the input value
- nextPowerOfTwo(int) - Static method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Find the smallest power of two greater than the input value
- nextPrime(int) - Static method in class org.apache.commons.math3.primes.Primes
-
Return the smallest prime greater than or equal to n.
- nextSample(Collection<?>, int) - Method in interface org.apache.commons.math3.random.RandomData
-
Deprecated.Returns an array of
k
objects selected randomly from the Collectionc
. - nextSample(Collection<?>, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Returns an array of
k
objects selected randomly from the Collectionc
. - nextSample(Collection<?>, int) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.Returns an array of
k
objects selected randomly from the Collectionc
. - nextSecureHexString(int) - Method in interface org.apache.commons.math3.random.RandomData
-
Deprecated.Generates a random string of hex characters from a secure random sequence.
- nextSecureHexString(int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates a random string of hex characters from a secure random sequence.
- nextSecureHexString(int) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.Generates a random string of hex characters from a secure random sequence.
- nextSecureInt(int, int) - Method in interface org.apache.commons.math3.random.RandomData
-
Deprecated.Generates a uniformly distributed random integer between
lower
andupper
(endpoints included) from a secure random sequence. - nextSecureInt(int, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates a uniformly distributed random integer between
lower
andupper
(endpoints included) from a secure random sequence. - nextSecureInt(int, int) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.Generates a uniformly distributed random integer between
lower
andupper
(endpoints included) from a secure random sequence. - nextSecureLong(long, long) - Method in interface org.apache.commons.math3.random.RandomData
-
Deprecated.Generates a uniformly distributed random long integer between
lower
andupper
(endpoints included) from a secure random sequence. - nextSecureLong(long, long) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates a uniformly distributed random long integer between
lower
andupper
(endpoints included) from a secure random sequence. - nextSecureLong(long, long) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.Generates a uniformly distributed random long integer between
lower
andupper
(endpoints included) from a secure random sequence. - nextT(double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates a random value from the
T Distribution
. - nextT(double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.Generates a random value from the
T Distribution
. - nextUniform(double, double) - Method in interface org.apache.commons.math3.random.RandomData
-
Deprecated.Generates a uniformly distributed random value from the open interval
(lower, upper)
(i.e., endpoints excluded). - nextUniform(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates a uniformly distributed random value from the open interval
(lower, upper)
(i.e., endpoints excluded). - nextUniform(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.Generates a uniformly distributed random value from the open interval
(lower, upper)
(i.e., endpoints excluded). - nextUniform(double, double, boolean) - Method in interface org.apache.commons.math3.random.RandomData
-
Deprecated.Generates a uniformly distributed random value from the interval
(lower, upper)
or the interval[lower, upper)
. - nextUniform(double, double, boolean) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates a uniformly distributed random value from the interval
(lower, upper)
or the interval[lower, upper)
. - nextUniform(double, double, boolean) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.Generates a uniformly distributed random value from the interval
(lower, upper)
or the interval[lower, upper)
. - nextUp(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute next number towards positive infinity.
- nextUp(float) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute next number towards positive infinity.
- nextVector() - Method in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
-
Generate a correlated random vector.
- nextVector() - Method in class org.apache.commons.math3.random.HaltonSequenceGenerator
-
Generate a random vector.
- nextVector() - Method in interface org.apache.commons.math3.random.RandomVectorGenerator
-
Generate a random vector.
- nextVector() - Method in class org.apache.commons.math3.random.SobolSequenceGenerator
-
Generate a random vector.
- nextVector() - Method in class org.apache.commons.math3.random.UncorrelatedRandomVectorGenerator
-
Generate an uncorrelated random vector.
- nextVector() - Method in class org.apache.commons.math3.random.UnitSphereRandomVectorGenerator
-
Generate a random vector.
- nextWeibull(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates a random value from the
Weibull Distribution
. - nextWeibull(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.Generates a random value from the
Weibull Distribution
. - nextZipf(int, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Generates a random value from the
Zipf Distribution
. - nextZipf(int, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.Generates a random value from the
Zipf Distribution
. - NO_BIN_SELECTED - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NO_CONVERGENCE_WITH_ANY_START_POINT - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NO_DATA - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NO_DEGREES_OF_FREEDOM - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NO_DENSITY_FOR_THIS_DISTRIBUTION - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NO_FEASIBLE_SOLUTION - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NO_FITNESS - Static variable in class org.apache.commons.math3.genetics.Chromosome
-
Value assigned when no fitness has been computed yet.
- NO_OPTIMUM_COMPUTED_YET - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NO_REGRESSORS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NO_RESULT_AVAILABLE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NO_SUCH_MATRIX_ENTRY - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NoBoundsMapper() - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.NoBoundsMapper
- NoBoundsMapper() - Constructor for class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.NoBoundsMapper
-
Deprecated.Simple constructor.
- NoBracketingException - Exception Class in org.apache.commons.math3.exception
-
Exception to be thrown when function values have the same sign at both ends of an interval.
- NoBracketingException(double, double, double, double) - Constructor for exception class org.apache.commons.math3.exception.NoBracketingException
-
Construct the exception.
- NoBracketingException(Localizable, double, double, double, double, Object...) - Constructor for exception class org.apache.commons.math3.exception.NoBracketingException
-
Construct the exception with a specific context.
- nobs - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
number of observations entered
- nobs - Variable in class org.apache.commons.math3.stat.regression.RegressionResults
-
number of observations on which results are based
- nObs - Variable in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
-
number of observations
- NoDataException - Exception Class in org.apache.commons.math3.exception
-
Exception to be thrown when the required data is missing.
- NoDataException() - Constructor for exception class org.apache.commons.math3.exception.NoDataException
-
Construct the exception.
- NoDataException(Localizable) - Constructor for exception class org.apache.commons.math3.exception.NoDataException
-
Construct the exception with a specific context.
- node - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.ConnectableSegment
-
Node containing segment.
- node - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Edge
-
Node whose cut hyperplane contains this edge.
- Node(T, AVLTree.Node) - Constructor for class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Deprecated.Build a node for a specified element.
- nodeCleaner - Variable in class org.apache.commons.math3.geometry.partitioning.RegionFactory
-
Visitor removing internal nodes attributes.
- NodesCleaner() - Constructor for class org.apache.commons.math3.geometry.partitioning.RegionFactory.NodesCleaner
- NodesSet<S> - Class in org.apache.commons.math3.geometry.partitioning
-
Set of
BSP tree
nodes. - NodesSet() - Constructor for class org.apache.commons.math3.geometry.partitioning.NodesSet
-
Simple constructor.
- nodeToEdgesList - Variable in class org.apache.commons.math3.geometry.spherical.twod.EdgesBuilder
-
Reversed map.
- NoFeasibleSolutionException - Exception Class in org.apache.commons.math3.optim.linear
-
This class represents exceptions thrown by optimizers when no solution fulfills the constraints.
- NoFeasibleSolutionException - Exception Class in org.apache.commons.math3.optimization.linear
-
Deprecated.As of 3.1 (to be removed in 4.0).
- NoFeasibleSolutionException() - Constructor for exception class org.apache.commons.math3.optim.linear.NoFeasibleSolutionException
-
Simple constructor using a default message.
- NoFeasibleSolutionException() - Constructor for exception class org.apache.commons.math3.optimization.linear.NoFeasibleSolutionException
-
Deprecated.Simple constructor using a default message.
- noIntercept - Variable in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Whether or not the regression model includes an intercept.
- noInterpolationTolerance - Variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereProjectionInterpolator
-
Tolerance value below which no interpolation is necessary.
- NOISE - Enum constant in enum org.apache.commons.math3.ml.clustering.DBSCANClusterer.PointStatus
-
The point has is considered to be noise.
- NOISE - Enum constant in enum org.apache.commons.math3.stat.clustering.DBSCANClusterer.PointStatus
-
Deprecated.The point has is considered to be noise.
- NON_CONVERGENT_CONTINUED_FRACTION - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NON_INVERTIBLE_TRANSFORM - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NON_POSITIVE_DEFINITE_MATRIX - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NON_POSITIVE_DEFINITE_OPERATOR - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NON_POSITIVE_MICROSPHERE_ELEMENTS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NON_POSITIVE_POLYNOMIAL_DEGREE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NON_REAL_FINITE_ABSCISSA - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NON_REAL_FINITE_ORDINATE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NON_REAL_FINITE_WEIGHT - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NON_SELF_ADJOINT_OPERATOR - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NON_SQUARE_MATRIX - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NON_SQUARE_OPERATOR - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NON_SYMMETRIC_MATRIX - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- nonLinear - Variable in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Marker
-
Nonlinear interpolator
- NonLinearConjugateGradientOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar.gradient
-
Non-linear conjugate gradient optimizer.
- NonLinearConjugateGradientOptimizer - Class in org.apache.commons.math3.optimization.general
-
Deprecated.As of 3.1 (to be removed in 4.0).
- NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
-
Constructor with default tolerances for the line search (1e-8) and
preconditioner
. - NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
-
Constructor with default
preconditioner
. - NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>, double, double, double, Preconditioner) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
- NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>, UnivariateSolver) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
-
Deprecated.as of 3.3. Please use
NonLinearConjugateGradientOptimizer(Formula,ConvergenceChecker,double,double,double)
instead. - NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>, UnivariateSolver, Preconditioner) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
-
Deprecated.as of 3.3. Please use
NonLinearConjugateGradientOptimizer(Formula,ConvergenceChecker,double,double,double,Preconditioner)
instead. - NonLinearConjugateGradientOptimizer(ConjugateGradientFormula) - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
-
Deprecated.
- NonLinearConjugateGradientOptimizer(ConjugateGradientFormula, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
-
Deprecated.Constructor with default
line search solver
andpreconditioner
. - NonLinearConjugateGradientOptimizer(ConjugateGradientFormula, ConvergenceChecker<PointValuePair>, UnivariateSolver) - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
-
Deprecated.Constructor with default
preconditioner
. - NonLinearConjugateGradientOptimizer(ConjugateGradientFormula, ConvergenceChecker<PointValuePair>, UnivariateSolver, Preconditioner) - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
-
Deprecated.
- NonLinearConjugateGradientOptimizer.BracketingStep - Class in org.apache.commons.math3.optim.nonlinear.scalar.gradient
-
Deprecated.As of v3.3, this class is not used anymore. This setting is replaced by the
initialBracketingRange
argument to the new constructors. - NonLinearConjugateGradientOptimizer.Formula - Enum in org.apache.commons.math3.optim.nonlinear.scalar.gradient
-
Available choices of update formulas for the updating the parameter that is used to compute the successive conjugate search directions.
- NonLinearConjugateGradientOptimizer.IdentityPreconditioner - Class in org.apache.commons.math3.optim.nonlinear.scalar.gradient
-
Default identity preconditioner.
- NonLinearConjugateGradientOptimizer.IdentityPreconditioner - Class in org.apache.commons.math3.optimization.general
-
Deprecated.Default identity preconditioner.
- NonLinearConjugateGradientOptimizer.LineSearchFunction - Class in org.apache.commons.math3.optimization.general
-
Deprecated.Internal class for line search.
- NonMonotonicSequenceException - Exception Class in org.apache.commons.math3.exception
-
Exception to be thrown when the a sequence of values is not monotonically increasing or decreasing.
- NonMonotonicSequenceException(Number, Number, int) - Constructor for exception class org.apache.commons.math3.exception.NonMonotonicSequenceException
-
Construct the exception.
- NonMonotonicSequenceException(Number, Number, int, MathArrays.OrderDirection, boolean) - Constructor for exception class org.apache.commons.math3.exception.NonMonotonicSequenceException
-
Construct the exception.
- nonNegative - Variable in class org.apache.commons.math3.optim.linear.LinearOptimizer
-
Whether to restrict the variables to non-negative values.
- nonNegative - Variable in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
-
Deprecated.Whether to restrict the variables to non-negative values.
- NonNegativeConstraint - Class in org.apache.commons.math3.optim.linear
-
A constraint for a linear optimization problem indicating whether all variables must be restricted to non-negative values.
- NonNegativeConstraint(boolean) - Constructor for class org.apache.commons.math3.optim.linear.NonNegativeConstraint
- NonPositiveDefiniteMatrixException - Exception Class in org.apache.commons.math3.linear
-
Exception to be thrown when a positive definite matrix is expected.
- NonPositiveDefiniteMatrixException(double, int, double) - Constructor for exception class org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException
-
Construct an exception.
- NonPositiveDefiniteOperatorException - Exception Class in org.apache.commons.math3.linear
-
Exception to be thrown when a symmetric, definite positive
RealLinearOperator
is expected. - NonPositiveDefiniteOperatorException() - Constructor for exception class org.apache.commons.math3.linear.NonPositiveDefiniteOperatorException
-
Creates a new instance of this class.
- NonSelfAdjointOperatorException - Exception Class in org.apache.commons.math3.linear
-
Exception to be thrown when a self-adjoint
RealLinearOperator
is expected. - NonSelfAdjointOperatorException() - Constructor for exception class org.apache.commons.math3.linear.NonSelfAdjointOperatorException
-
Creates a new instance of this class.
- nonSerializableReplacement(Object) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
-
Replaces a non-serializable object with an error message string.
- nonSingular - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition.Solver
-
Singularity indicator.
- NonSquareMatrixException - Exception Class in org.apache.commons.math3.linear
-
Exception to be thrown when a square matrix is expected.
- NonSquareMatrixException(int, int) - Constructor for exception class org.apache.commons.math3.linear.NonSquareMatrixException
-
Construct an exception from the mismatched dimensions.
- NonSquareOperatorException - Exception Class in org.apache.commons.math3.linear
-
Exception to be thrown when a square linear operator is expected.
- NonSquareOperatorException(int, int) - Constructor for exception class org.apache.commons.math3.linear.NonSquareOperatorException
-
Construct an exception from the mismatched dimensions.
- NonSymmetricMatrixException - Exception Class in org.apache.commons.math3.linear
-
Exception to be thrown when a symmetric matrix is expected.
- NonSymmetricMatrixException(int, int, double) - Constructor for exception class org.apache.commons.math3.linear.NonSymmetricMatrixException
-
Construct an exception.
- nordsieck - Variable in class org.apache.commons.math3.ode.MultistepFieldIntegrator
-
Nordsieck matrix of the higher scaled derivatives.
- nordsieck - Variable in class org.apache.commons.math3.ode.MultistepIntegrator
-
Nordsieck matrix of the higher scaled derivatives.
- nordsieck - Variable in class org.apache.commons.math3.ode.nonstiff.AdamsFieldStepInterpolator
-
Nordsieck vector.
- nordsieck - Variable in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
-
Nordsieck vector.
- NordsieckInitializer(int, int) - Constructor for class org.apache.commons.math3.ode.MultistepIntegrator.NordsieckInitializer
-
Simple constructor.
- NordsieckStepInterpolator - Class in org.apache.commons.math3.ode.sampling
-
This class implements an interpolator for integrators using Nordsieck representation.
- NordsieckStepInterpolator() - Constructor for class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
-
Simple constructor.
- NordsieckStepInterpolator(NordsieckStepInterpolator) - Constructor for class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
-
Copy constructor.
- norm - Variable in class org.apache.commons.math3.analysis.function.Gaussian
-
Normalization factor.
- norm - Variable in class org.apache.commons.math3.fitting.GaussianCurveFitter.ParameterGuesser
-
Normalization factor.
- norm - Variable in class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
-
Deprecated.Normalization factor.
- norm - Variable in class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
-
Deprecated.Normalization factor.
- NORM - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- normal - Variable in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere.Facet
-
Normal vector characterizing a surface element.
- normal - Variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction.MicrosphereSurfaceElement
-
Deprecated.Normal vector characterizing a surface element.
- normal - Variable in class org.apache.commons.math3.distribution.PoissonDistribution
-
Distribution used to compute normal approximation.
- normal() - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction.MicrosphereSurfaceElement
-
Deprecated.Return the normal vector.
- NORMAL_APPROXIMATION - Static variable in class org.apache.commons.math3.stat.interval.IntervalUtils
-
Singleton NormalApproximation instance.
- normalApproximateProbability(int) - Method in class org.apache.commons.math3.distribution.PoissonDistribution
-
Calculates the Poisson distribution function using a normal approximation.
- NormalApproximationInterval - Class in org.apache.commons.math3.stat.interval
-
Implements the normal approximation method for creating a binomial proportion confidence interval.
- NormalApproximationInterval() - Constructor for class org.apache.commons.math3.stat.interval.NormalApproximationInterval
- NormalDistribution - Class in org.apache.commons.math3.distribution
-
Implementation of the normal (gaussian) distribution.
- NormalDistribution() - Constructor for class org.apache.commons.math3.distribution.NormalDistribution
-
Create a normal distribution with mean equal to zero and standard deviation equal to one.
- NormalDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.NormalDistribution
-
Create a normal distribution using the given mean and standard deviation.
- NormalDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.NormalDistribution
-
Create a normal distribution using the given mean, standard deviation and inverse cumulative distribution accuracy.
- NormalDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.NormalDistribution
-
Creates a normal distribution.
- NormalDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.NormalDistribution
-
Creates a normal distribution.
- normalization - Variable in class org.apache.commons.math3.transform.FastCosineTransformer
-
The type of DCT to be performed.
- normalization - Variable in class org.apache.commons.math3.transform.FastFourierTransformer
-
The type of DFT to be performed.
- normalization - Variable in class org.apache.commons.math3.transform.FastSineTransformer
-
The type of DST to be performed.
- normalize() - Method in class org.apache.commons.math3.complex.Quaternion
-
Computes the normalized quaternion (the versor of the instance).
- normalize() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Get a normalized vector aligned with the instance.
- normalize() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Get a normalized vector aligned with the instance.
- normalize() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Get a normalized vector aligned with the instance.
- normalize() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Get a normalized vector aligned with the instance.
- normalize() - Method in interface org.apache.commons.math3.geometry.Vector
-
Get a normalized vector aligned with the instance.
- normalize(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Normalize (standardize) the sample, so it is has a mean of 0 and a standard deviation of 1.
- normalize(LinearConstraint) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get a new equation equivalent to this one with a positive right hand side.
- normalize(LinearConstraint) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Get a new equation equivalent to this one with a positive right hand side.
- NORMALIZE_INFINITE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NORMALIZE_NAN - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- normalizeAngle(double, double) - Static method in class org.apache.commons.math3.util.MathUtils
-
Normalize an angle in a 2π wide interval around a center value.
- normalizeArray(double[], double) - Static method in class org.apache.commons.math3.util.MathArrays
-
Normalizes an array to make it sum to a specified value.
- normalizeConstraints(Collection<LinearConstraint>) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Get new versions of the constraints which have positive right hand sides.
- normalizeConstraints(Collection<LinearConstraint>) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Get new versions of the constraints which have positive right hand sides.
- normalizeCount - Variable in class org.apache.commons.math3.ml.neuralnet.twod.util.HitHistogram
-
Whether to compute relative bin counts.
- normalized - Variable in class org.apache.commons.math3.analysis.function.Sinc
-
For normalized sinc function.
- normalized - Variable in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
-
Storage for the normalized vector.
- NormalizedRandomGenerator - Interface in org.apache.commons.math3.random
-
This interface represent a normalized random generator for scalars.
- normalizeTransformedData(double[][], DftNormalization, TransformType) - Static method in class org.apache.commons.math3.transform.FastFourierTransformer
-
Applies the proper normalization to the specified transformed data.
- normps - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Norm of ps, stored for efficiency.
- normps - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Norm of ps, stored for efficiency.
- NoSubSpaceException() - Constructor for exception class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D.NoSubSpaceException
-
Simple constructor.
- NoSubSpaceException() - Constructor for exception class org.apache.commons.math3.geometry.spherical.oned.Sphere1D.NoSubSpaceException
-
Simple constructor.
- NOT_ADDITION_COMPATIBLE_MATRICES - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_CONVEX - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_CONVEX_HYPERPLANES - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_DECREASING_NUMBER_OF_POINTS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_DECREASING_SEQUENCE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_ENOUGH_DATA_FOR_NUMBER_OF_PREDICTORS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_ENOUGH_DATA_REGRESSION - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_ENOUGH_POINTS_IN_SPLINE_PARTITION - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_FINITE_NUMBER - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_INCREASING_NUMBER_OF_POINTS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_INCREASING_SEQUENCE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_MULTIPLICATION_COMPATIBLE_MATRICES - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_POSITIVE_DEFINITE_MATRIX - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_POSITIVE_DEGREES_OF_FREEDOM - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_POSITIVE_ELEMENT_AT_INDEX - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_POSITIVE_EXPONENT - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_POSITIVE_LENGTH - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_POSITIVE_MEAN - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_POSITIVE_NUMBER_OF_SAMPLES - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_POSITIVE_PERMUTATION - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_POSITIVE_POISSON_MEAN - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_POSITIVE_POPULATION_SIZE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_POSITIVE_ROW_DIMENSION - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_POSITIVE_SAMPLE_SIZE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_POSITIVE_SCALE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_POSITIVE_SHAPE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_POSITIVE_STANDARD_DEVIATION - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_POSITIVE_UPPER_BOUND - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_POSITIVE_WINDOW_SIZE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_POWER_OF_TWO - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_POWER_OF_TWO_CONSIDER_PADDING - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_POWER_OF_TWO_PLUS_ONE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_STRICTLY_DECREASING_NUMBER_OF_POINTS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_STRICTLY_DECREASING_SEQUENCE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_STRICTLY_INCREASING_KNOT_VALUES - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_STRICTLY_INCREASING_NUMBER_OF_POINTS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_STRICTLY_INCREASING_SEQUENCE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_SUBTRACTION_COMPATIBLE_MATRICES - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_SUPPORTED_IN_DIMENSION_N - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NOT_SYMMETRIC_MATRIX - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NotANumberException - Exception Class in org.apache.commons.math3.exception
-
Exception to be thrown when a number is not a number.
- NotANumberException() - Constructor for exception class org.apache.commons.math3.exception.NotANumberException
-
Construct the exception.
- NotARotationMatrixException - Exception Class in org.apache.commons.math3.geometry.euclidean.threed
-
This class represents exceptions thrown while building rotations from matrices.
- NotARotationMatrixException(Localizable, Object...) - Constructor for exception class org.apache.commons.math3.geometry.euclidean.threed.NotARotationMatrixException
-
Simple constructor.
- NotFiniteNumberException - Exception Class in org.apache.commons.math3.exception
-
Exception to be thrown when a number is not finite.
- NotFiniteNumberException(Number, Object...) - Constructor for exception class org.apache.commons.math3.exception.NotFiniteNumberException
-
Construct the exception.
- NotFiniteNumberException(Localizable, Number, Object...) - Constructor for exception class org.apache.commons.math3.exception.NotFiniteNumberException
-
Construct the exception with a specific context.
- NotPositiveException - Exception Class in org.apache.commons.math3.exception
-
Exception to be thrown when the argument is negative.
- NotPositiveException(Number) - Constructor for exception class org.apache.commons.math3.exception.NotPositiveException
-
Construct the exception.
- NotPositiveException(Localizable, Number) - Constructor for exception class org.apache.commons.math3.exception.NotPositiveException
-
Construct the exception with a specific context.
- NotStrictlyPositiveException - Exception Class in org.apache.commons.math3.exception
-
Exception to be thrown when the argument is not greater than 0.
- NotStrictlyPositiveException(Number) - Constructor for exception class org.apache.commons.math3.exception.NotStrictlyPositiveException
-
Construct the exception.
- NotStrictlyPositiveException(Localizable, Number) - Constructor for exception class org.apache.commons.math3.exception.NotStrictlyPositiveException
-
Construct the exception with a specific context.
- NPointCrossover<T> - Class in org.apache.commons.math3.genetics
-
N-point crossover policy.
- NPointCrossover(int) - Constructor for class org.apache.commons.math3.genetics.NPointCrossover
-
Creates a new
NPointCrossover
policy using the given number of points. - nSteps - Variable in class org.apache.commons.math3.ode.MultistepFieldIntegrator
-
Number of steps of the multistep method (excluding the one being computed).
- nSteps - Variable in class org.apache.commons.math3.ode.MultistepIntegrator
-
Number of steps of the multistep method (excluding the one being computed).
- nthRoot(int) - Method in class org.apache.commons.math3.complex.Complex
-
Computes the n-th roots of this complex number.
- NULL_NOT_ALLOWED - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NullArgumentException - Exception Class in org.apache.commons.math3.exception
-
All conditions checks that fail due to a
null
argument must throw this exception. - NullArgumentException() - Constructor for exception class org.apache.commons.math3.exception.NullArgumentException
-
Default constructor.
- NullArgumentException(Localizable, Object...) - Constructor for exception class org.apache.commons.math3.exception.NullArgumentException
- NUM_COEFF - Static variable in class org.apache.commons.math3.analysis.interpolation.BicubicInterpolatingFunction
-
Number of coefficients.
- NUM_COEFF - Static variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
-
Deprecated.Number of coefficients.
- numArtificialVariables - Variable in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Number of artificial variables.
- numArtificialVariables - Variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Number of artificial variables.
- NUMBER_OF_ELEMENTS_SHOULD_BE_POSITIVE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NUMBER_OF_INTERPOLATION_POINTS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NUMBER_OF_POINTS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NUMBER_OF_SAMPLES - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NUMBER_OF_SUCCESS_LARGER_THAN_POPULATION_SIZE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NUMBER_OF_SUCCESSES - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NUMBER_OF_TRIALS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NUMBER_TOO_LARGE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NUMBER_TOO_LARGE_BOUND_EXCLUDED - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NUMBER_TOO_SMALL - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NUMBER_TOO_SMALL_BOUND_EXCLUDED - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NumberIsTooLargeException - Exception Class in org.apache.commons.math3.exception
-
Exception to be thrown when a number is too large.
- NumberIsTooLargeException(Number, Number, boolean) - Constructor for exception class org.apache.commons.math3.exception.NumberIsTooLargeException
-
Construct the exception.
- NumberIsTooLargeException(Localizable, Number, Number, boolean) - Constructor for exception class org.apache.commons.math3.exception.NumberIsTooLargeException
-
Construct the exception with a specific context.
- NumberIsTooSmallException - Exception Class in org.apache.commons.math3.exception
-
Exception to be thrown when a number is too small.
- NumberIsTooSmallException(Number, Number, boolean) - Constructor for exception class org.apache.commons.math3.exception.NumberIsTooSmallException
-
Construct the exception.
- NumberIsTooSmallException(Localizable, Number, Number, boolean) - Constructor for exception class org.apache.commons.math3.exception.NumberIsTooSmallException
-
Construct the exception with a specific context.
- numberOfAttemptedUpdates - Variable in class org.apache.commons.math3.ml.neuralnet.Neuron
-
Number of attempts to update a neuron.
- numberOfCalls - Variable in class org.apache.commons.math3.ml.neuralnet.sofm.KohonenUpdateAction
-
Number of calls to
KohonenUpdateAction.update(Network,double[])
. - numberOfColumns - Variable in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
-
Number of columns.
- numberOfElements - Variable in class org.apache.commons.math3.distribution.ZipfDistribution
-
Number of elements.
- numberOfElements - Variable in class org.apache.commons.math3.distribution.ZipfDistribution.ZipfRejectionInversionSampler
-
Number of elements.
- numberOfInterpolationPoints - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
numberOfInterpolationPoints XXX
- numberOfInterpolationPoints - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.numberOfInterpolationPoints XXX
- numberOfPoints - Variable in class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator
-
Number of integration points (per interval).
- numberOfRows - Variable in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
-
Number of rows.
- numberOfSuccesses - Variable in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
The number of successes in the population.
- numberOfSuccesses - Variable in class org.apache.commons.math3.distribution.PascalDistribution
-
The number of successes.
- numberOfSuccessfulUpdates - Variable in class org.apache.commons.math3.ml.neuralnet.Neuron
-
Number of successful updates of a neuron.
- numberOfTrials - Variable in class org.apache.commons.math3.distribution.BinomialDistribution
-
The number of trials.
- NumberTransformer - Interface in org.apache.commons.math3.util
-
Subclasses implementing this interface can transform Objects to doubles.
- numDecisionVariables - Variable in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Number of decision variables.
- numDecisionVariables - Variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Number of decision variables.
- numElements - Variable in class org.apache.commons.math3.util.ResizableDoubleArray
-
The number of addressable elements in the array.
- numerator - Variable in class org.apache.commons.math3.fraction.BigFraction
-
The numerator.
- numerator - Variable in class org.apache.commons.math3.fraction.Fraction
-
The numerator.
- NUMERATOR - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NUMERATOR_FORMAT - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- NUMERATOR_OVERFLOW_AFTER_MULTIPLY - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- numeratorDegreesOfFreedom - Variable in class org.apache.commons.math3.distribution.FDistribution
-
The numerator degrees of freedom.
- numeratorFormat - Variable in class org.apache.commons.math3.fraction.AbstractFormat
-
The format used for the numerator.
- numericalMean - Variable in class org.apache.commons.math3.distribution.WeibullDistribution
-
Cached numerical mean
- numericalMean - Variable in class org.apache.commons.math3.distribution.ZipfDistribution
-
Cached numerical mean
- numericalMeanIsCalculated - Variable in class org.apache.commons.math3.distribution.WeibullDistribution
-
Whether or not the numerical mean has been calculated
- numericalMeanIsCalculated - Variable in class org.apache.commons.math3.distribution.ZipfDistribution
-
Whether or not the numerical mean has been calculated
- numericalVariance - Variable in class org.apache.commons.math3.distribution.FDistribution
-
Cached numerical variance
- numericalVariance - Variable in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
Cached numerical variance
- numericalVariance - Variable in class org.apache.commons.math3.distribution.WeibullDistribution
-
Cached numerical variance
- numericalVariance - Variable in class org.apache.commons.math3.distribution.ZipfDistribution
-
Cached numerical variance
- numericalVarianceIsCalculated - Variable in class org.apache.commons.math3.distribution.FDistribution
-
Whether or not the numerical variance has been calculated
- numericalVarianceIsCalculated - Variable in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
Whether or not the numerical variance has been calculated
- numericalVarianceIsCalculated - Variable in class org.apache.commons.math3.distribution.WeibullDistribution
-
Whether or not the numerical variance has been calculated
- numericalVarianceIsCalculated - Variable in class org.apache.commons.math3.distribution.ZipfDistribution
-
Whether or not the numerical variance has been calculated
- numGenerations - Variable in class org.apache.commons.math3.genetics.FixedGenerationCount
-
Number of generations that have passed
- numSlackVariables - Variable in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Number of slack variables.
- numSlackVariables - Variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Number of slack variables.
- numTrials - Variable in class org.apache.commons.math3.ml.clustering.MultiKMeansPlusPlusClusterer
-
The number of trial runs.
- numVars() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Find the number of variables.
- nVals - Variable in class org.apache.commons.math3.special.BesselJ.BesselJResult
-
Valid value count
- nvars - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
number of variables in regression
O
- OBJECT_TRANSFORMATION - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- objective - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.As of 3.1.
- ObjectiveFunction - Class in org.apache.commons.math3.optim.nonlinear.scalar
-
Scalar function to be optimized.
- ObjectiveFunction(MultivariateFunction) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunction
- ObjectiveFunctionGradient - Class in org.apache.commons.math3.optim.nonlinear.scalar
-
Gradient of the scalar function to be optimized.
- ObjectiveFunctionGradient(MultivariateVectorFunction) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunctionGradient
- observations - Variable in class org.apache.commons.math3.fitting.CurveFitter
-
Deprecated.Observed points.
- observations - Variable in class org.apache.commons.math3.fitting.WeightedObservedPoints
-
Observed points.
- observations - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter
-
Observations to be compared to objective function to compute residuals.
- observations - Variable in class org.apache.commons.math3.optimization.fitting.CurveFitter
-
Deprecated.Observed points.
- observations - Variable in class org.apache.commons.math3.optimization.LeastSquaresConverter
-
Deprecated.Observations to be compared to objective function to compute residuals.
- observationSize - Variable in class org.apache.commons.math3.fitting.leastsquares.AbstractEvaluation
-
number of observations
- OBSERVED_COUNTS_ALL_ZERO - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- OBSERVED_COUNTS_BOTTH_ZERO_FOR_ENTRY - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- OCTAVE_FORMAT - Static variable in class org.apache.commons.math3.linear.MatrixUtils
-
A format for
RealMatrix
objects compatible with octave. - ode - Variable in class org.apache.commons.math3.ode.JacobianMatrices.MainStateJacobianWrapper
-
Raw ODE without jacobians computation skill to be wrapped into a MainStateJacobianProvider.
- ODEIntegrator - Interface in org.apache.commons.math3.ode
-
This interface defines the common parts shared by integrators for first and second order differential equations.
- offset - Variable in class org.apache.commons.math3.geometry.partitioning.BoundaryProjection
-
Offset of the point with respect to the boundary it is projected on.
- offset - Variable in class org.apache.commons.math3.geometry.partitioning.BoundaryProjector
-
Current offset.
- offset - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Deprecated.Offset scale.
- offset - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionPenaltyAdapter
-
Penalty offset.
- offset - Variable in class org.apache.commons.math3.optimization.direct.MultivariateFunctionPenaltyAdapter
-
Deprecated.Penalty offset.
- oldb - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The value of beta[k].
- oldOptimizer - Variable in class org.apache.commons.math3.optimization.fitting.CurveFitter
-
Deprecated.as of 3.1 replaced by
CurveFitter.optimizer
- OldTheoreticalValuesFunction(ParametricUnivariateFunction) - Constructor for class org.apache.commons.math3.optimization.fitting.CurveFitter.OldTheoreticalValuesFunction
-
Deprecated.Simple constructor.
- OLSMultipleLinearRegression - Class in org.apache.commons.math3.stat.regression
-
Implements ordinary least squares (OLS) to estimate the parameters of a multiple linear regression model.
- OLSMultipleLinearRegression() - Constructor for class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
-
Create an empty OLSMultipleLinearRegression instance.
- OLSMultipleLinearRegression(double) - Constructor for class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
-
Create an empty OLSMultipleLinearRegression instance, using the given singularity threshold for the QR decomposition.
- omega - Variable in class org.apache.commons.math3.analysis.function.HarmonicOscillator
-
Angular frequency.
- omega - Variable in class org.apache.commons.math3.distribution.NakagamiDistribution
-
The scale parameter.
- omega - Variable in class org.apache.commons.math3.fitting.HarmonicCurveFitter.ParameterGuesser
-
Angular frequency.
- omega - Variable in class org.apache.commons.math3.fitting.HarmonicFitter.ParameterGuesser
-
Deprecated.Angular frequency.
- omega - Variable in class org.apache.commons.math3.optimization.fitting.HarmonicFitter.ParameterGuesser
-
Deprecated.Angular frequency.
- Omega - Variable in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
-
Covariance matrix.
- omegaCount - Variable in class org.apache.commons.math3.complex.RootsOfUnity
-
Number of roots of unity.
- omegaImaginaryClockwise - Variable in class org.apache.commons.math3.complex.RootsOfUnity
-
Imaginary part of the
n
-th roots of unity, for negative values ofn
. - omegaImaginaryCounterClockwise - Variable in class org.apache.commons.math3.complex.RootsOfUnity
-
Imaginary part of the
n
-th roots of unity, for positive values ofn
. - OmegaInverse - Variable in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
-
Inverse of covariance matrix.
- omegaReal - Variable in class org.apache.commons.math3.complex.RootsOfUnity
-
Real part of the roots.
- one - Variable in class org.apache.commons.math3.dfp.DfpField
-
A
Dfp
with value 1. - ONE - Static variable in class org.apache.commons.math3.complex.Complex
-
A complex number representing "1.0 + 0.0i"
- ONE - Static variable in class org.apache.commons.math3.fraction.BigFraction
-
A fraction representing "1".
- ONE - Static variable in class org.apache.commons.math3.fraction.Fraction
-
A fraction representing "1".
- ONE - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Unit (coordinates: 1).
- ONE - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Constant 1.
- ONE - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Constant 1.
- ONE - Static variable in class org.apache.commons.math3.util.BigReal
-
A big real representing 1.
- ONE - Static variable in class org.apache.commons.math3.util.Decimal64
-
The constant value of
1d
as aDecimal64
. - ONE_FIFTH - Static variable in class org.apache.commons.math3.fraction.BigFraction
-
A fraction representing "1/5".
- ONE_FIFTH - Static variable in class org.apache.commons.math3.fraction.Fraction
-
A fraction representing "1/5".
- ONE_HALF - Static variable in class org.apache.commons.math3.fraction.BigFraction
-
A fraction representing "1/2".
- ONE_HALF - Static variable in class org.apache.commons.math3.fraction.Fraction
-
A fraction representing "1/2".
- ONE_HUNDRED - Static variable in class org.apache.commons.math3.fraction.BigFraction
-
BigInteger
representation of 100. - one_minus_inv_sqrt_2 - Variable in class org.apache.commons.math3.ode.nonstiff.GillFieldStepInterpolator
-
First Gill coefficient.
- ONE_MINUS_INV_SQRT_2 - Static variable in class org.apache.commons.math3.ode.nonstiff.GillStepInterpolator
-
First Gill coefficient.
- ONE_OVER_A_THOUSAND - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Constant 1/1000.
- ONE_OVER_A_THOUSAND - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Constant 1/1000.
- ONE_OVER_EIGHT - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Constant 1/8.
- ONE_OVER_EIGHT - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Constant 1/8.
- ONE_OVER_FOUR - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Constant 1/4.
- ONE_OVER_FOUR - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Constant 1/4.
- ONE_OVER_TEN - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Constant 1/10.
- ONE_OVER_TEN - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Constant 1/10.
- one_plus_inv_sqrt_2 - Variable in class org.apache.commons.math3.ode.nonstiff.GillFieldStepInterpolator
-
Second Gill coefficient.
- ONE_PLUS_INV_SQRT_2 - Static variable in class org.apache.commons.math3.ode.nonstiff.GillStepInterpolator
-
Second Gill coefficient.
- ONE_QUARTER - Static variable in class org.apache.commons.math3.fraction.BigFraction
-
A fraction representing "1/4".
- ONE_QUARTER - Static variable in class org.apache.commons.math3.fraction.Fraction
-
A fraction representing "1/4".
- ONE_THIRD - Static variable in class org.apache.commons.math3.fraction.BigFraction
-
A fraction representing "1/3".
- ONE_THIRD - Static variable in class org.apache.commons.math3.fraction.Fraction
-
A fraction representing "1/3".
- ONE_WAY_ANANOVA - Static variable in class org.apache.commons.math3.stat.inference.TestUtils
-
Singleton OneWayAnova instance.
- oneHalf - Variable in class org.apache.commons.math3.analysis.integration.gauss.LegendreHighPrecisionRuleFactory
-
The number
0.5
. - oneOverB - Variable in class org.apache.commons.math3.ml.neuralnet.sofm.util.ExponentialDecayFunction
-
Factor
1 / b
. - oneOverN - Variable in class org.apache.commons.math3.analysis.function.Logistic
-
Parameter that affects near which asymptote maximum growth occurs.
- OnePointCrossover<T> - Class in org.apache.commons.math3.genetics
-
One point crossover policy.
- OnePointCrossover() - Constructor for class org.apache.commons.math3.genetics.OnePointCrossover
- ones(int, int) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
- ones(int, int) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- OneWayAnova - Class in org.apache.commons.math3.stat.inference
-
Implements one-way ANOVA (analysis of variance) statistics.
- OneWayAnova() - Constructor for class org.apache.commons.math3.stat.inference.OneWayAnova
-
Default constructor.
- OneWayAnova.AnovaStats - Class in org.apache.commons.math3.stat.inference
-
Convenience class to pass dfbg,dfwg,F values around within OneWayAnova.
- oneWayAnovaFValue(Collection<double[]>) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- oneWayAnovaPValue(Collection<double[]>) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- oneWayAnovaTest(Collection<double[]>, double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- OpenIntToDoubleHashMap - Class in org.apache.commons.math3.util
-
Open addressed map from int to double.
- OpenIntToDoubleHashMap() - Constructor for class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Build an empty map with default size and using NaN for missing entries.
- OpenIntToDoubleHashMap(double) - Constructor for class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Build an empty map with default size
- OpenIntToDoubleHashMap(int) - Constructor for class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Build an empty map with specified size and using NaN for missing entries.
- OpenIntToDoubleHashMap(int, double) - Constructor for class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Build an empty map with specified size.
- OpenIntToDoubleHashMap(OpenIntToDoubleHashMap) - Constructor for class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Copy constructor.
- OpenIntToDoubleHashMap.Iterator - Class in org.apache.commons.math3.util
-
Iterator class for the map.
- OpenIntToFieldHashMap<T> - Class in org.apache.commons.math3.util
-
Open addressed map from int to FieldElement.
- OpenIntToFieldHashMap(Field<T>) - Constructor for class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Build an empty map with default size and using zero for missing entries.
- OpenIntToFieldHashMap(Field<T>, int) - Constructor for class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Build an empty map with specified size and using zero for missing entries.
- OpenIntToFieldHashMap(Field<T>, int, T) - Constructor for class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Build an empty map with specified size.
- OpenIntToFieldHashMap(Field<T>, T) - Constructor for class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Build an empty map with default size
- OpenIntToFieldHashMap(OpenIntToFieldHashMap<T>) - Constructor for class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Copy constructor.
- OpenIntToFieldHashMap.Iterator - Class in org.apache.commons.math3.util
-
Iterator class for the map.
- OpenMapEntry(OpenIntToDoubleHashMap.Iterator) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapEntry
-
Build an entry from an iterator point to an element.
- OpenMapRealMatrix - Class in org.apache.commons.math3.linear
-
Sparse matrix implementation based on an open addressed map.
- OpenMapRealMatrix(int, int) - Constructor for class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Build a sparse matrix with the supplied row and column dimensions.
- OpenMapRealMatrix(OpenMapRealMatrix) - Constructor for class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Build a matrix by copying another one.
- OpenMapRealVector - Class in org.apache.commons.math3.linear
-
This class implements the
RealVector
interface with aOpenIntToDoubleHashMap
backing store. - OpenMapRealVector() - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
-
Build a 0-length vector.
- OpenMapRealVector(double[]) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
-
Create from an array.
- OpenMapRealVector(double[], double) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
-
Create from an array, specifying zero tolerance.
- OpenMapRealVector(int) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
-
Construct a vector of zeroes.
- OpenMapRealVector(int, double) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
-
Construct a vector of zeroes, specifying zero tolerance.
- OpenMapRealVector(int, int) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
-
Build a vector with known the sparseness (for advanced use only).
- OpenMapRealVector(int, int, double) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
-
Build a vector with known the sparseness and zero tolerance setting (for advanced use only).
- OpenMapRealVector(Double[]) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
-
Create from an array.
- OpenMapRealVector(Double[], double) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
-
Create from an array.
- OpenMapRealVector(OpenMapRealVector) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
-
Copy constructor.
- OpenMapRealVector(OpenMapRealVector, int) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
-
Build a resized vector, for use with append.
- OpenMapRealVector(RealVector) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
-
Generic copy constructor.
- OpenMapRealVector.OpenMapEntry - Class in org.apache.commons.math3.linear
-
Implementation of
Entry
optimized for OpenMap. - OpenMapRealVector.OpenMapSparseIterator - Class in org.apache.commons.math3.linear
-
Iterator class to do iteration over just the non-zero elements.
- OpenMapSparseIterator() - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapSparseIterator
-
Simple constructor.
- operate(double[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns the result of multiplying this by the vector
v
. - operate(double[]) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Returns the result of multiplying this by the vector
v
. - operate(double[]) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Returns the result of multiplying this by the vector
v
. - operate(double[]) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
-
Returns the result of multiplying this by the vector
v
. - operate(double[]) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Returns the result of multiplying this by the vector
v
. - operate(FieldVector<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Returns the result of multiplying this by the vector
v
. - operate(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Returns the result of multiplying this by the vector
v
. - operate(RealVector) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns the result of multiplying
this
by the vectorx
. - operate(RealVector) - Method in class org.apache.commons.math3.linear.JacobiPreconditioner
-
Returns the result of multiplying
this
by the vectorx
. - operate(RealVector) - Method in class org.apache.commons.math3.linear.RealLinearOperator
-
Returns the result of multiplying
this
by the vectorx
. - operate(RealVector) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Returns the result of multiplying this by the vector
v
. - operate(T[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Returns the result of multiplying this by the vector
v
. - operate(T[]) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Returns the result of multiplying this by the vector
v
. - operate(T[]) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Returns the result of multiplying this by the vector
v
. - operate(T[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Returns the result of multiplying this by the vector
v
. - operateTranspose(RealVector) - Method in class org.apache.commons.math3.linear.RealLinearOperator
-
Returns the result of multiplying the transpose of
this
operator by the vectorx
(optional operation). - OPERATOR - Static variable in class org.apache.commons.math3.linear.ConjugateGradient
-
Key for the exception context.
- OPERATOR - Static variable in class org.apache.commons.math3.linear.SymmLQ
-
Key for the exception context.
- oppositeRelationship() - Method in enum org.apache.commons.math3.optim.linear.Relationship
-
Gets the relationship obtained when multiplying all coefficients by -1.
- oppositeRelationship() - Method in enum org.apache.commons.math3.optimization.linear.Relationship
-
Deprecated.Get the relationship obtained when multiplying all coefficients by -1.
- optima - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer
-
Found optima.
- optima - Variable in class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer
-
Deprecated.Found optima.
- optima - Variable in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
-
Found optima.
- optima - Variable in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
-
Deprecated.Found optima.
- optima - Variable in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
-
Deprecated.Found optima.
- optima - Variable in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
-
Deprecated.Found optima.
- optimalStep - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
optimal steps for each order.
- optimData - Variable in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
-
Optimization data.
- optimData - Variable in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
-
Optimization data.
- OptimizationData - Interface in org.apache.commons.math3.optim
-
Marker interface.
- OptimizationData - Interface in org.apache.commons.math3.optimization
-
Deprecated.As of 3.1 (to be removed in 4.0).
- OptimizationProblem<PAIR> - Interface in org.apache.commons.math3.optim
-
Common settings for all optimization problems.
- optimize() - Method in class org.apache.commons.math3.optim.BaseOptimizer
-
Performs the optimization.
- optimize(int, FUNC, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
-
Deprecated.Optimize an objective function.
- optimize(int, FUNC, double[], double[], double[]) - Method in interface org.apache.commons.math3.optimization.BaseMultivariateVectorOptimizer
-
Deprecated.As of 3.1. In 4.0, this will be replaced by the declaration corresponding to this
method
. - optimize(int, FUNC, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.As of 3.1. Please use
BaseAbstractMultivariateVectorOptimizer.optimize(int,MultivariateVectorFunction,OptimizationData[])
instead. - optimize(int, FUNC, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
-
Deprecated.Optimize an objective function.
- optimize(int, FUNC, GoalType, double[]) - Method in interface org.apache.commons.math3.optimization.BaseMultivariateOptimizer
-
Deprecated.As of 3.1. In 4.0, it will be replaced by the declaration corresponding to this
method
. - optimize(int, FUNC, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.As of 3.1. Please use
BaseAbstractMultivariateOptimizer.optimize(int,MultivariateFunction,GoalType,OptimizationData[])
instead. - optimize(int, FUNC, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateSimpleBoundsOptimizer
-
Deprecated.Optimize an objective function.
- optimize(int, FUNC, GoalType, double[], double[], double[]) - Method in interface org.apache.commons.math3.optimization.BaseMultivariateSimpleBoundsOptimizer
-
Deprecated.Optimize an objective function.
- optimize(int, FUNC, GoalType, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateSimpleBoundsOptimizer
-
Deprecated.Optimize an objective function.
- optimize(int, FUNC, GoalType, double, double) - Method in interface org.apache.commons.math3.optimization.univariate.BaseUnivariateOptimizer
-
Deprecated.Find an optimum in the given interval.
- optimize(int, FUNC, GoalType, double, double) - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
-
Deprecated.Find an optimum in the given interval.
- optimize(int, FUNC, GoalType, double, double, double) - Method in interface org.apache.commons.math3.optimization.univariate.BaseUnivariateOptimizer
-
Deprecated.Find an optimum in the given interval, start at startValue.
- optimize(int, FUNC, GoalType, double, double, double) - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
-
Deprecated.Find an optimum in the given interval, start at startValue.
- optimize(int, FUNC, GoalType, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.Optimize an objective function.
- optimize(int, FUNC, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.Optimize an objective function.
- optimize(int, DifferentiableMultivariateVectorFunction, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.As of 3.1. Please use
optimize(int,MultivariateDifferentiableVectorFunction,OptimizationData...)
instead. - optimize(int, MultivariateDifferentiableFunction, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer
-
Deprecated.Optimize an objective function.
- optimize(int, MultivariateDifferentiableVectorFunction, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.As of 3.1. Please use
optimize(int,MultivariateDifferentiableVectorFunction,OptimizationData...)
instead. - optimize(int, UnivariateFunction, GoalType, double, double) - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.Find an optimum in the given interval.
- optimize(int, UnivariateFunction, GoalType, double, double, double) - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.Find an optimum in the given interval, start at startValue.
- optimize(LeastSquaresProblem) - Method in class org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer
-
Solve the non-linear least squares problem.
- optimize(LeastSquaresProblem) - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresOptimizer
-
Solve the non-linear least squares problem.
- optimize(LeastSquaresProblem) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
-
Solve the non-linear least squares problem.
- optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
-
Stores data and performs the optimization.
- optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
-
Stores data and performs the optimization.
- optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.BaseOptimizer
-
Stores data and performs the optimization.
- optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer
-
Stores data and performs the optimization.
- optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.linear.SimplexSolver
-
Stores data and performs the optimization.
- optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
-
Stores data and performs the optimization.
- optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.GradientMultivariateOptimizer
-
Stores data and performs the optimization.
- optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
-
Stores data and performs the optimization.
- optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Stores data and performs the optimization.
- optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer
-
Stores data and performs the optimization.
- optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
-
Deprecated.Stores data and performs the optimization.
- optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.JacobianMultivariateVectorOptimizer
-
Deprecated.Stores data and performs the optimization.
- optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
-
Deprecated.Stores data and performs the optimization.
- optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
-
Stores data and performs the optimization.
- optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
-
Stores data and performs the optimization.
- optimize(LinearObjectiveFunction, Collection<LinearConstraint>, GoalType, boolean) - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
-
Deprecated.Optimizes an objective function.
- optimize(LinearObjectiveFunction, Collection<LinearConstraint>, GoalType, boolean) - Method in interface org.apache.commons.math3.optimization.linear.LinearOptimizer
-
Deprecated.Optimizes an objective function.
- optimizeInternal(int, FUNC, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.As of 3.1. Please use
BaseAbstractMultivariateVectorOptimizer.optimizeInternal(int,MultivariateVectorFunction,OptimizationData[])
instead. - optimizeInternal(int, FUNC, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.As of 3.1. Please use
BaseAbstractMultivariateOptimizer.optimize(int,MultivariateFunction,GoalType,OptimizationData[])
instead. - optimizeInternal(int, FUNC, GoalType, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.Optimize an objective function.
- optimizeInternal(int, FUNC, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.Optimize an objective function.
- optimizeInternal(int, DifferentiableMultivariateFunction, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer
-
Deprecated.Optimize an objective function.
- optimizeInternal(int, MultivariateDifferentiableFunction, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractDifferentiableOptimizer
-
Deprecated.
- optimizeInternal(int, MultivariateDifferentiableFunction, GoalType, OptimizationData...) - Method in class org.apache.commons.math3.optimization.general.AbstractDifferentiableOptimizer
-
Deprecated.Optimize an objective function.
- optimizeInternal(int, MultivariateDifferentiableVectorFunction, OptimizationData...) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.As of 3.1. Override is necessary only until this class's generic argument is changed to
MultivariateDifferentiableVectorFunction
. - optimizeInternal(int, MultivariateFunction, GoalType, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Optimize an objective function.
- optimizeInternal(int, MultivariateFunction, GoalType, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.SimplexOptimizer
-
Deprecated.Optimize an objective function.
- optimizer - Variable in class org.apache.commons.math3.fitting.CurveFitter
-
Deprecated.Optimizer to use for the fitting.
- optimizer - Variable in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
-
Underlying classical optimizer.
- optimizer - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer
-
Underlying optimizer.
- optimizer - Variable in class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer
-
Deprecated.Underlying optimizer.
- optimizer - Variable in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
-
Underlying classical optimizer.
- optimizer - Variable in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
-
Deprecated.Underlying classical optimizer.
- optimizer - Variable in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
-
Deprecated.Underlying classical optimizer.
- optimizer - Variable in class org.apache.commons.math3.optimization.fitting.CurveFitter
-
Deprecated.Optimizer to use for the fitting.
- optimizer - Variable in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
-
Deprecated.Underlying classical optimizer.
- OptimumImpl - Class in org.apache.commons.math3.fitting.leastsquares
-
A pedantic implementation of
LeastSquaresOptimizer.Optimum
. - OptimumImpl(LeastSquaresProblem.Evaluation, int, int) - Constructor for class org.apache.commons.math3.fitting.leastsquares.OptimumImpl
-
Construct an optimum from an evaluation and the values of the counters.
- order - Variable in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure.DataTransferObject
-
Derivation order.
- order - Variable in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Derivation order.
- order - Variable in class org.apache.commons.math3.special.BesselJ
-
Order of the function computed when
BesselJ.value(double)
is used - Order() - Constructor for enum org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor.Order
- orderControl1 - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
first order control factor.
- orderControl2 - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
second order control factor.
- OrderDirection() - Constructor for enum org.apache.commons.math3.util.MathArrays.OrderDirection
- OrderedCrossover<T> - Class in org.apache.commons.math3.genetics
-
Order 1 Crossover [OX1] builds offspring from ordered chromosomes by copying a consecutive slice from one parent, and filling up the remaining genes from the other parent as they appear.
- OrderedCrossover() - Constructor for class org.apache.commons.math3.genetics.OrderedCrossover
- OrderedTuple - Class in org.apache.commons.math3.geometry.partitioning.utilities
-
Deprecated.as of 3.4, this class is not used anymore and considered to be out of scope of Apache Commons Math
- OrderedTuple(double...) - Constructor for class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Deprecated.Build an ordered T-uple from its components.
- ordinate - Variable in class org.apache.commons.math3.analysis.function.StepFunction
-
Ordinates.
- org.apache.commons.math3 - package org.apache.commons.math3
-
Common classes used throughout the commons-math library.
- org.apache.commons.math3.analysis - package org.apache.commons.math3.analysis
-
Parent package for common numerical analysis procedures, including root finding, function interpolation and integration.
- org.apache.commons.math3.analysis.differentiation - package org.apache.commons.math3.analysis.differentiation
-
This package holds the main interfaces and basic building block classes dealing with differentiation.
- org.apache.commons.math3.analysis.function - package org.apache.commons.math3.analysis.function
-
The
function
package contains function objects that wrap the methods contained inMath
, as well as common mathematical functions such as the gaussian and sinc functions. - org.apache.commons.math3.analysis.integration - package org.apache.commons.math3.analysis.integration
-
Numerical integration (quadrature) algorithms for univariate real functions.
- org.apache.commons.math3.analysis.integration.gauss - package org.apache.commons.math3.analysis.integration.gauss
-
Gauss family of quadrature schemes.
- org.apache.commons.math3.analysis.interpolation - package org.apache.commons.math3.analysis.interpolation
-
Univariate real functions interpolation algorithms.
- org.apache.commons.math3.analysis.polynomials - package org.apache.commons.math3.analysis.polynomials
-
Univariate real polynomials implementations, seen as differentiable univariate real functions.
- org.apache.commons.math3.analysis.solvers - package org.apache.commons.math3.analysis.solvers
-
Root finding algorithms, for univariate real functions.
- org.apache.commons.math3.complex - package org.apache.commons.math3.complex
-
Complex number type and implementations of complex transcendental functions.
- org.apache.commons.math3.dfp - package org.apache.commons.math3.dfp
-
Decimal floating point library for Java
- org.apache.commons.math3.distribution - package org.apache.commons.math3.distribution
-
Implementations of common discrete and continuous distributions.
- org.apache.commons.math3.distribution.fitting - package org.apache.commons.math3.distribution.fitting
-
Fitting of parameters against distributions.
- org.apache.commons.math3.exception - package org.apache.commons.math3.exception
-
Specialized exceptions for algorithms errors.
- org.apache.commons.math3.exception.util - package org.apache.commons.math3.exception.util
-
Classes supporting exception localization.
- org.apache.commons.math3.filter - package org.apache.commons.math3.filter
-
Implementations of common discrete-time linear filters.
- org.apache.commons.math3.fitting - package org.apache.commons.math3.fitting
-
Classes to perform curve fitting.
- org.apache.commons.math3.fitting.leastsquares - package org.apache.commons.math3.fitting.leastsquares
-
This package provides algorithms that minimize the residuals between observations and model values.
- org.apache.commons.math3.fraction - package org.apache.commons.math3.fraction
-
Fraction number type and fraction number formatting.
- org.apache.commons.math3.genetics - package org.apache.commons.math3.genetics
-
This package provides Genetic Algorithms components and implementations.
- org.apache.commons.math3.geometry - package org.apache.commons.math3.geometry
-
This package is the top level package for geometry.
- org.apache.commons.math3.geometry.enclosing - package org.apache.commons.math3.geometry.enclosing
-
This package provides interfaces and classes related to the smallest enclosing ball problem.
- org.apache.commons.math3.geometry.euclidean.oned - package org.apache.commons.math3.geometry.euclidean.oned
-
This package provides basic 1D geometry components.
- org.apache.commons.math3.geometry.euclidean.threed - package org.apache.commons.math3.geometry.euclidean.threed
-
This package provides basic 3D geometry components.
- org.apache.commons.math3.geometry.euclidean.twod - package org.apache.commons.math3.geometry.euclidean.twod
-
This package provides basic 2D geometry components.
- org.apache.commons.math3.geometry.euclidean.twod.hull - package org.apache.commons.math3.geometry.euclidean.twod.hull
-
This package provides algorithms to generate the convex hull for a set of points in an two-dimensional euclidean space.
- org.apache.commons.math3.geometry.hull - package org.apache.commons.math3.geometry.hull
-
This package provides interfaces and classes related to the convex hull problem.
- org.apache.commons.math3.geometry.partitioning - package org.apache.commons.math3.geometry.partitioning
-
This package provides classes to implement Binary Space Partition trees.
- org.apache.commons.math3.geometry.partitioning.utilities - package org.apache.commons.math3.geometry.partitioning.utilities
-
This package provides multidimensional ordering features for partitioning.
- org.apache.commons.math3.geometry.spherical.oned - package org.apache.commons.math3.geometry.spherical.oned
-
This package provides basic geometry components on the 1-sphere.
- org.apache.commons.math3.geometry.spherical.twod - package org.apache.commons.math3.geometry.spherical.twod
-
This package provides basic geometry components on the 2-sphere.
- org.apache.commons.math3.linear - package org.apache.commons.math3.linear
-
Linear algebra support.
- org.apache.commons.math3.ml.clustering - package org.apache.commons.math3.ml.clustering
-
Clustering algorithms.
- org.apache.commons.math3.ml.clustering.evaluation - package org.apache.commons.math3.ml.clustering.evaluation
-
Cluster evaluation methods.
- org.apache.commons.math3.ml.distance - package org.apache.commons.math3.ml.distance
-
Common distance measures.
- org.apache.commons.math3.ml.neuralnet - package org.apache.commons.math3.ml.neuralnet
-
Neural networks.
- org.apache.commons.math3.ml.neuralnet.oned - package org.apache.commons.math3.ml.neuralnet.oned
-
One-dimensional neural networks.
- org.apache.commons.math3.ml.neuralnet.sofm - package org.apache.commons.math3.ml.neuralnet.sofm
-
Self Organizing Feature Map.
- org.apache.commons.math3.ml.neuralnet.sofm.util - package org.apache.commons.math3.ml.neuralnet.sofm.util
-
Miscellaneous utilities.
- org.apache.commons.math3.ml.neuralnet.twod - package org.apache.commons.math3.ml.neuralnet.twod
-
Two-dimensional neural networks.
- org.apache.commons.math3.ml.neuralnet.twod.util - package org.apache.commons.math3.ml.neuralnet.twod.util
-
Utilities to visualize two-dimensional neural networks.
- org.apache.commons.math3.ode - package org.apache.commons.math3.ode
-
This package provides classes to solve Ordinary Differential Equations problems.
- org.apache.commons.math3.ode.events - package org.apache.commons.math3.ode.events
-
This package provides classes to handle discrete events occurring during Ordinary Differential Equations integration.
- org.apache.commons.math3.ode.nonstiff - package org.apache.commons.math3.ode.nonstiff
-
This package provides classes to solve non-stiff Ordinary Differential Equations problems.
- org.apache.commons.math3.ode.sampling - package org.apache.commons.math3.ode.sampling
-
This package provides classes to handle sampling steps during Ordinary Differential Equations integration.
- org.apache.commons.math3.optim - package org.apache.commons.math3.optim
-
Generally, optimizers are algorithms that will either
minimize
ormaximize
a scalar function, called theobjective function
. - org.apache.commons.math3.optim.linear - package org.apache.commons.math3.optim.linear
-
Optimization algorithms for linear constrained problems.
- org.apache.commons.math3.optim.nonlinear.scalar - package org.apache.commons.math3.optim.nonlinear.scalar
-
Algorithms for optimizing a scalar function.
- org.apache.commons.math3.optim.nonlinear.scalar.gradient - package org.apache.commons.math3.optim.nonlinear.scalar.gradient
-
This package provides optimization algorithms that require derivatives.
- org.apache.commons.math3.optim.nonlinear.scalar.noderiv - package org.apache.commons.math3.optim.nonlinear.scalar.noderiv
-
This package provides optimization algorithms that do not require derivatives.
- org.apache.commons.math3.optim.nonlinear.vector - package org.apache.commons.math3.optim.nonlinear.vector
-
Algorithms for optimizing a vector function.
- org.apache.commons.math3.optim.nonlinear.vector.jacobian - package org.apache.commons.math3.optim.nonlinear.vector.jacobian
-
This package provides optimization algorithms that require derivatives.
- org.apache.commons.math3.optim.univariate - package org.apache.commons.math3.optim.univariate
-
One-dimensional optimization algorithms.
- org.apache.commons.math3.optimization - package org.apache.commons.math3.optimization
-
All classes and sub-packages of this package are deprecated.
- org.apache.commons.math3.optimization.direct - package org.apache.commons.math3.optimization.direct
-
This package provides optimization algorithms that don't require derivatives.
- org.apache.commons.math3.optimization.fitting - package org.apache.commons.math3.optimization.fitting
-
This package provides classes to perform curve fitting.
- org.apache.commons.math3.optimization.general - package org.apache.commons.math3.optimization.general
-
This package provides optimization algorithms that require derivatives.
- org.apache.commons.math3.optimization.linear - package org.apache.commons.math3.optimization.linear
-
This package provides optimization algorithms for linear constrained problems.
- org.apache.commons.math3.optimization.univariate - package org.apache.commons.math3.optimization.univariate
-
Univariate real functions minimum finding algorithms.
- org.apache.commons.math3.primes - package org.apache.commons.math3.primes
-
Methods related to prime numbers like primality test, factor decomposition.
- org.apache.commons.math3.random - package org.apache.commons.math3.random
-
Random number and random data generators.
- org.apache.commons.math3.special - package org.apache.commons.math3.special
-
Implementations of special functions such as Beta and Gamma.
- org.apache.commons.math3.stat - package org.apache.commons.math3.stat
-
Data storage, manipulation and summary routines.
- org.apache.commons.math3.stat.clustering - package org.apache.commons.math3.stat.clustering
-
All classes and sub-packages of this package are deprecated.
- org.apache.commons.math3.stat.correlation - package org.apache.commons.math3.stat.correlation
-
Correlations/Covariance computations.
- org.apache.commons.math3.stat.descriptive - package org.apache.commons.math3.stat.descriptive
-
Generic univariate summary statistic objects.
- org.apache.commons.math3.stat.descriptive.moment - package org.apache.commons.math3.stat.descriptive.moment
-
Summary statistics based on moments.
- org.apache.commons.math3.stat.descriptive.rank - package org.apache.commons.math3.stat.descriptive.rank
-
Summary statistics based on ranks.
- org.apache.commons.math3.stat.descriptive.summary - package org.apache.commons.math3.stat.descriptive.summary
-
Other summary statistics.
- org.apache.commons.math3.stat.inference - package org.apache.commons.math3.stat.inference
-
Classes providing hypothesis testing.
- org.apache.commons.math3.stat.interval - package org.apache.commons.math3.stat.interval
-
Classes providing binomial proportion confidence interval construction.
- org.apache.commons.math3.stat.ranking - package org.apache.commons.math3.stat.ranking
-
Classes providing rank transformations.
- org.apache.commons.math3.stat.regression - package org.apache.commons.math3.stat.regression
-
Statistical routines involving multivariate data.
- org.apache.commons.math3.transform - package org.apache.commons.math3.transform
-
Implementations of transform methods, including Fast Fourier transforms.
- org.apache.commons.math3.util - package org.apache.commons.math3.util
-
Convenience routines and common data structures used throughout the commons-math library.
- OrientedPoint - Class in org.apache.commons.math3.geometry.euclidean.oned
-
This class represents a 1D oriented hyperplane.
- OrientedPoint(Vector1D, boolean) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
-
Deprecated.as of 3.3, replaced with
OrientedPoint(Vector1D, boolean, double)
- OrientedPoint(Vector1D, boolean, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
-
Simple constructor.
- origin - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Origin of the plane frame.
- original - Variable in class org.apache.commons.math3.geometry.partitioning.BoundaryProjection
-
Original point.
- original - Variable in class org.apache.commons.math3.geometry.partitioning.BoundaryProjector
-
Original point.
- originalIsClockwise - Variable in class org.apache.commons.math3.geometry.euclidean.twod.NestedLoops
-
Indicator for original loop orientation.
- originOffset - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Offset of the origin with respect to the plane.
- originOffset - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Offset of the frame origin.
- originShift - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Shift of origin that should reduce the contributions from rounding errors to values of the model and Lagrange functions.
- originShift - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Shift of origin that should reduce the contributions from rounding errors to values of the model and Lagrange functions.
- ort - Variable in class org.apache.commons.math3.linear.HessenbergTransformer
-
Temporary storage vector.
- orthogonal() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Get a vector orthogonal to the instance.
- orthogonal() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Get a vector orthogonal to the instance.
- ORTHOGONAL_DCT_I - Enum constant in enum org.apache.commons.math3.transform.DctNormalization
-
Should be passed to the constructor of
FastCosineTransformer
to use the orthogonal normalization convention. - ORTHOGONAL_DST_I - Enum constant in enum org.apache.commons.math3.transform.DstNormalization
-
Should be passed to the constructor of
FastSineTransformer
to use the orthogonal normalization convention. - orthogonalizeMatrix(double[][], double) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Perfect orthogonality on a 3X3 matrix.
- orthogonalizeMatrix(T[][], double) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Perfect orthogonality on a 3X3 matrix.
- orthoTolerance - Variable in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
-
Desired max cosine on the orthogonality between the function vector and the columns of the jacobian.
- orthoTolerance - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Deprecated.Desired max cosine on the orthogonality between the function vector and the columns of the jacobian.
- orthoTolerance - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.Desired max cosine on the orthogonality between the function vector and the columns of the jacobian.
- OUT_OF_BOUND_SIGNIFICANCE_LEVEL - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- OUT_OF_BOUNDS_CONFIDENCE_LEVEL - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- OUT_OF_BOUNDS_QUANTILE_VALUE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- OUT_OF_ORDER_ABSCISSA_ARRAY - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- OUT_OF_PLANE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- OUT_OF_RANGE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- OUT_OF_RANGE_LEFT - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- OUT_OF_RANGE_RIGHT - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- OUT_OF_RANGE_ROOT_OF_UNITY_INDEX - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- OUT_OF_RANGE_SIMPLE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- outerProduct(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Compute the outer product.
- outerProduct(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Compute the outer product.
- outerProduct(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Compute the outer product.
- outerProduct(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Compute the outer product.
- outerProduct(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Compute the outer product.
- outerProduct(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
-
Compute the outer product.
- outerProduct(SparseFieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Optimized method to compute outer product when both vectors are sparse.
- outgoing - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Vertex
-
Outgoing edge.
- outgoing - Variable in class org.apache.commons.math3.geometry.spherical.twod.Vertex
-
Outgoing edge.
- OUTLINE_BOUNDARY_LOOP_OPEN - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- OutlineExtractor - Class in org.apache.commons.math3.geometry.euclidean.threed
-
Extractor for
polyhedrons sets
outlines. - OutlineExtractor(Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor
-
Build an extractor for a specific projection plane.
- OutlineExtractor.BoundaryProjector - Class in org.apache.commons.math3.geometry.euclidean.threed
-
Visitor projecting the boundary facets on a plane.
- OutOfRangeException - Exception Class in org.apache.commons.math3.exception
-
Exception to be thrown when some argument is out of range.
- OutOfRangeException(Number, Number, Number) - Constructor for exception class org.apache.commons.math3.exception.OutOfRangeException
-
Construct an exception from the mismatched dimensions.
- OutOfRangeException(Localizable, Number, Number, Number) - Constructor for exception class org.apache.commons.math3.exception.OutOfRangeException
-
Construct an exception from the mismatched dimensions with a specific context information.
- OUTSIDE - Enum constant in enum org.apache.commons.math3.geometry.partitioning.Region.Location
-
Code for points outside of the partition.
- outsideSplitters - Variable in class org.apache.commons.math3.geometry.partitioning.Characterization
-
Nodes that were used to split the outside touching part.
- outsideTouching - Variable in class org.apache.commons.math3.geometry.partitioning.Characterization
-
Part of the cut sub-hyperplane that touch outside cells.
- outsideTouching() - Method in class org.apache.commons.math3.geometry.partitioning.Characterization
-
Get all the parts of the cut sub-hyperplane known to touch outside cells.
- OVERFLOW - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- OVERFLOW_IN_ADDITION - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- OVERFLOW_IN_FRACTION - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- OVERFLOW_IN_MULTIPLICATION - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- OVERFLOW_IN_SUBTRACTION - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
P
- p - Variable in class org.apache.commons.math3.analysis.function.Power
-
Power.
- p - Variable in class org.apache.commons.math3.linear.RRQRDecomposition
-
An array to record the column pivoting for later creation of P.
- p - Variable in class org.apache.commons.math3.linear.RRQRDecomposition.Solver
-
A permutation matrix for the pivots used in the QR decomposition
- Pair<K,
V> - Class in org.apache.commons.math3.util -
Generic pair.
- Pair(K, V) - Constructor for class org.apache.commons.math3.util.Pair
-
Create an entry representing a mapping from the specified key to the specified value.
- Pair(Pair<? extends K, ? extends V>) - Constructor for class org.apache.commons.math3.util.Pair
-
Create an entry representing the same mapping as the specified entry.
- PairDoubleInteger(double, int) - Constructor for class org.apache.commons.math3.util.MathArrays.PairDoubleInteger
- pairedT(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- pairedT(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Computes a paired, 2-sample t-statistic based on the data in the input arrays.
- pairedTTest(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- pairedTTest(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Returns the observed significance level, or p-value, associated with a paired, two-sample, two-tailed t-test based on the data in the input arrays.
- pairedTTest(double[], double[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- pairedTTest(double[], double[], double) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Performs a paired t-test evaluating the null hypothesis that the mean of the paired differences between
sample1
andsample2
is 0 in favor of the two-sided alternative that the mean paired difference is not equal to 0, with significance levelalpha
. - PairNeuronDouble(Neuron, double) - Constructor for class org.apache.commons.math3.ml.neuralnet.MapUtils.PairNeuronDouble
- paramDim - Variable in class org.apache.commons.math3.ode.JacobianMatrices
-
Parameters dimension.
- ParameterConfiguration - Class in org.apache.commons.math3.ode
-
Simple container pairing a parameter name with a step in order to compute the associated Jacobian matrix by finite difference.
- ParameterConfiguration(String, double) - Constructor for class org.apache.commons.math3.ode.ParameterConfiguration
-
Parameter name and step pair constructor.
- ParameterGuesser(Collection<WeightedObservedPoint>) - Constructor for class org.apache.commons.math3.fitting.GaussianCurveFitter.ParameterGuesser
-
Constructs instance with the specified observed points.
- ParameterGuesser(Collection<WeightedObservedPoint>) - Constructor for class org.apache.commons.math3.fitting.HarmonicCurveFitter.ParameterGuesser
-
Simple constructor.
- ParameterGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
-
Deprecated.Constructs instance with the specified observed points.
- ParameterGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math3.fitting.HarmonicFitter.ParameterGuesser
-
Deprecated.Simple constructor.
- ParameterGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
-
Deprecated.Constructs instance with the specified observed points.
- ParameterGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math3.optimization.fitting.HarmonicFitter.ParameterGuesser
-
Deprecated.Simple constructor.
- Parameterizable - Interface in org.apache.commons.math3.ode
-
This interface enables to process any parameterizable object.
- ParameterizedODE - Interface in org.apache.commons.math3.ode
-
Interface to compute by finite difference Jacobian matrix for some parameter when computing
partial derivatives equations
. - ParameterizedWrapper - Class in org.apache.commons.math3.ode
-
Wrapper class enabling
basic simple
ODE instances to be used when processingJacobianMatrices
. - ParameterizedWrapper(FirstOrderDifferentialEquations) - Constructor for class org.apache.commons.math3.ode.ParameterizedWrapper
-
Simple constructor.
- ParameterJacobianProvider - Interface in org.apache.commons.math3.ode
-
Interface to compute exactly Jacobian matrix for some parameter when computing
partial derivatives equations
. - ParameterJacobianWrapper - Class in org.apache.commons.math3.ode
-
Wrapper class to compute Jacobian matrices by finite differences for ODE which do not compute them by themselves.
- ParameterJacobianWrapper(FirstOrderDifferentialEquations, ParameterizedODE, ParameterConfiguration[]) - Constructor for class org.apache.commons.math3.ode.ParameterJacobianWrapper
-
Wrap a
ParameterizedODE
into aParameterJacobianProvider
. - parameterName - Variable in class org.apache.commons.math3.ode.ParameterConfiguration
-
Parameter name.
- parameters - Variable in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Number of free parameters.
- parameters - Variable in class org.apache.commons.math3.stat.regression.RegressionResults
-
regression slope parameters
- parametersNames - Variable in class org.apache.commons.math3.ode.AbstractParameterizable
-
List of the parameters names.
- parameterValidator(ParameterValidator) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
-
Configure the validator of the model parameters.
- ParameterValidator - Interface in org.apache.commons.math3.fitting.leastsquares
-
Interface for validating a set of model parameters.
- Parametric() - Constructor for class org.apache.commons.math3.analysis.function.Gaussian.Parametric
- Parametric() - Constructor for class org.apache.commons.math3.analysis.function.HarmonicOscillator.Parametric
- Parametric() - Constructor for class org.apache.commons.math3.analysis.function.Logistic.Parametric
- Parametric() - Constructor for class org.apache.commons.math3.analysis.function.Logit.Parametric
- Parametric() - Constructor for class org.apache.commons.math3.analysis.function.Sigmoid.Parametric
- Parametric() - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialFunction.Parametric
- ParametricUnivariateFunction - Interface in org.apache.commons.math3.analysis
-
An interface representing a real function that depends on one independent variable plus some extra parameters.
- paramValidator - Variable in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
-
Validator.
- paramValidator - Variable in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory.LocalLeastSquaresProblem
-
Model parameters validator.
- parent - Variable in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Parent tree.
- parent - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Deprecated.Parent tree.
- ParetoDistribution - Class in org.apache.commons.math3.distribution
-
Implementation of the Pareto distribution.
- ParetoDistribution() - Constructor for class org.apache.commons.math3.distribution.ParetoDistribution
-
Create a Pareto distribution with a scale of
1
and a shape of1
. - ParetoDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.ParetoDistribution
-
Create a Pareto distribution using the specified scale and shape.
- ParetoDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.ParetoDistribution
-
Create a Pareto distribution using the specified scale, shape and inverse cumulative distribution accuracy.
- ParetoDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.ParetoDistribution
-
Creates a Pareto distribution.
- ParetoDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.ParetoDistribution
-
Creates a Pareto distribution.
- parRelativeTolerance - Variable in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
-
Desired relative error in the approximate solution parameters.
- parRelativeTolerance - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Deprecated.Desired relative error in the approximate solution parameters.
- parRelativeTolerance - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.Desired relative error in the approximate solution parameters.
- parse(String) - Method in class org.apache.commons.math3.complex.ComplexFormat
-
Parses a string to produce a
Complex
object. - parse(String) - Method in class org.apache.commons.math3.fraction.BigFractionFormat
-
Parses a string to produce a
BigFraction
object. - parse(String) - Method in class org.apache.commons.math3.fraction.FractionFormat
-
Parses a string to produce a
Fraction
object. - parse(String) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
-
Parses a string to produce a
Vector
object. - parse(String) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
-
Parses a string to produce a
Vector3D
object. - parse(String) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
-
Parses a string to produce a
Vector
object. - parse(String) - Method in class org.apache.commons.math3.geometry.VectorFormat
-
Parses a string to produce a
Vector
object. - parse(String) - Method in class org.apache.commons.math3.linear.RealMatrixFormat
-
Parse a string to produce a
RealMatrix
object. - parse(String) - Method in class org.apache.commons.math3.linear.RealVectorFormat
-
Parse a string to produce a
RealVector
object. - parse(String, ParsePosition) - Method in class org.apache.commons.math3.complex.ComplexFormat
-
Parses a string to produce a
Complex
object. - parse(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.BigFractionFormat
-
Parses a string to produce a
BigFraction
object. - parse(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.FractionFormat
-
Parses a string to produce a
Fraction
object. - parse(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.ProperBigFractionFormat
-
Parses a string to produce a
BigFraction
object. - parse(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.ProperFractionFormat
-
Parses a string to produce a
Fraction
object. - parse(String, ParsePosition) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
-
Parses a string to produce a
Vector
object. - parse(String, ParsePosition) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
-
Parses a string to produce a
Vector3D
object. - parse(String, ParsePosition) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
-
Parses a string to produce a
Vector
object. - parse(String, ParsePosition) - Method in class org.apache.commons.math3.geometry.VectorFormat
-
Parses a string to produce a
Vector
object. - parse(String, ParsePosition) - Method in class org.apache.commons.math3.linear.RealMatrixFormat
-
Parse a string to produce a
RealMatrix
object. - parse(String, ParsePosition) - Method in class org.apache.commons.math3.linear.RealVectorFormat
-
Parse a string to produce a
RealVector
object. - parseAndIgnoreWhitespace(String, ParsePosition) - Static method in class org.apache.commons.math3.fraction.AbstractFormat
-
Parses
source
until a non-whitespace character is found. - parseAndIgnoreWhitespace(String, ParsePosition) - Static method in class org.apache.commons.math3.util.CompositeFormat
-
Parses
source
until a non-whitespace character is found. - parseCoordinates(int, String, ParsePosition) - Method in class org.apache.commons.math3.geometry.VectorFormat
-
Parses a string to produce an array of coordinates.
- parseFixedstring(String, String, ParsePosition) - Static method in class org.apache.commons.math3.util.CompositeFormat
-
Parse
source
for an expected fixed string. - parseNextBigInteger(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.BigFractionFormat
-
Parses a string to produce a
BigInteger
. - parseNextCharacter(String, ParsePosition) - Static method in class org.apache.commons.math3.fraction.AbstractFormat
-
Parses
source
until a non-whitespace character is found. - parseNextCharacter(String, ParsePosition) - Static method in class org.apache.commons.math3.util.CompositeFormat
-
Parses
source
until a non-whitespace character is found. - parseNumber(String, double, ParsePosition) - Static method in class org.apache.commons.math3.util.CompositeFormat
-
Parses
source
for special double values. - parseNumber(String, NumberFormat, ParsePosition) - Static method in class org.apache.commons.math3.util.CompositeFormat
-
Parses
source
for a number. - parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
-
Scans the list of (required and optional) optimization data that characterize the problem.
- parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.BaseOptimizer
-
Scans the list of (required and optional) optimization data that characterize the problem.
- parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer
-
Scans the list of (required and optional) optimization data that characterize the problem.
- parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.linear.SimplexSolver
-
Scans the list of (required and optional) optimization data that characterize the problem.
- parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
-
Scans the list of (required and optional) optimization data that characterize the problem.
- parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.GradientMultivariateOptimizer
-
Scans the list of (required and optional) optimization data that characterize the problem.
- parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
-
Scans the list of (required and optional) optimization data that characterize the problem.
- parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Scans the list of (required and optional) optimization data that characterize the problem.
- parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer
-
Scans the list of (required and optional) optimization data that characterize the problem.
- parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
-
Deprecated.Scans the list of (required and optional) optimization data that characterize the problem.
- parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.JacobianMultivariateVectorOptimizer
-
Deprecated.Scans the list of (required and optional) optimization data that characterize the problem.
- parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
-
Deprecated.Scans the list of (required and optional) optimization data that characterize the problem.
- parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
-
Scans the list of (required and optional) optimization data that characterize the problem.
- parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.Scans the list of (required and optional) optimization data that characterize the problem.
- parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.Scans the list of (required and optional) optimization data that characterize the problem.
- parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Scans the list of (required and optional) optimization data that characterize the problem.
- parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.SimplexOptimizer
-
Deprecated.Scans the list of (required and optional) optimization data that characterize the problem.
- PART_OF_CLUSTER - Enum constant in enum org.apache.commons.math3.ml.clustering.DBSCANClusterer.PointStatus
-
The point is already part of a cluster.
- PART_OF_CLUSTER - Enum constant in enum org.apache.commons.math3.stat.clustering.DBSCANClusterer.PointStatus
-
Deprecated.The point is already part of a cluster.
- partialDerivative(int) - Method in interface org.apache.commons.math3.analysis.DifferentiableMultivariateFunction
-
Deprecated.Returns the partial derivative of the function with respect to a point coordinate.
- partialDerivative(int, double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
-
Deprecated.
- partialDerivatives - Variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
-
Deprecated.Partial derivatives.
- partialDerivativeX - Variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
-
First partial derivative along x.
- partialDerivativeX() - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
- partialDerivativeX(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
-
Deprecated.
- partialDerivativeXX - Variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
-
Second partial derivative along x.
- partialDerivativeXX() - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
- partialDerivativeXX(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
-
Deprecated.
- partialDerivativeXY - Variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
-
Second crossed partial derivative.
- partialDerivativeXY() - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
- partialDerivativeXY(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
-
Deprecated.
- partialDerivativeY - Variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
-
First partial derivative along y.
- partialDerivativeY() - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
- partialDerivativeY(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
-
Deprecated.
- partialDerivativeYY - Variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
-
Second partial derivative along y.
- partialDerivativeYY() - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
- partialDerivativeYY(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
-
Deprecated.
- partition(double[], int, int, int) - Method in class org.apache.commons.math3.util.KthSelector
-
Partition an array slice around a pivot.Partitioning exchanges array elements such that all elements smaller than pivot are before it and all elements larger than pivot are after it.
- PascalDistribution - Class in org.apache.commons.math3.distribution
-
Implementation of the Pascal distribution.
- PascalDistribution(int, double) - Constructor for class org.apache.commons.math3.distribution.PascalDistribution
-
Create a Pascal distribution with the given number of successes and probability of success.
- PascalDistribution(RandomGenerator, int, double) - Constructor for class org.apache.commons.math3.distribution.PascalDistribution
-
Create a Pascal distribution with the given number of successes and probability of success.
- PATH_IS_EXPLORED - Static variable in exception class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer.PathIsExploredException
-
Message string.
- PATH_IS_EXPLORED - Static variable in exception class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer.PathIsExploredException
-
Deprecated.Message string.
- PathIsExploredException() - Constructor for exception class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer.PathIsExploredException
- PathIsExploredException() - Constructor for exception class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer.PathIsExploredException
-
Deprecated.
- pB(int) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
The probability of bin i.
- pBminus(int) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
The combined probability of the bins up to but not including bin i.
- pc - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Evolution path.
- pc - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Evolution path.
- PearsonsCorrelation - Class in org.apache.commons.math3.stat.correlation
-
Computes Pearson's product-moment correlation coefficients for pairs of arrays or columns of a matrix.
- PearsonsCorrelation() - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
-
Create a PearsonsCorrelation instance without data.
- PearsonsCorrelation(double[][]) - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
-
Create a PearsonsCorrelation from a rectangular array whose columns represent values of variables to be correlated.
- PearsonsCorrelation(RealMatrix) - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
-
Create a PearsonsCorrelation from a RealMatrix whose columns represent variables to be correlated.
- PearsonsCorrelation(RealMatrix, int) - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
-
Create a PearsonsCorrelation from a covariance matrix.
- PearsonsCorrelation(Covariance) - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
-
Create a PearsonsCorrelation from a
Covariance
. - PEGASUS - Enum constant in enum org.apache.commons.math3.analysis.solvers.BaseSecantSolver.Method
-
The
Pegasus
method. - PegasusSolver - Class in org.apache.commons.math3.analysis.solvers
-
Implements the Pegasus method for root-finding (approximating a zero of a univariate real function).
- PegasusSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.PegasusSolver
-
Construct a solver with default accuracy (1e-6).
- PegasusSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.PegasusSolver
-
Construct a solver.
- PegasusSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.PegasusSolver
-
Construct a solver.
- PegasusSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.PegasusSolver
-
Construct a solver.
- pelzGood(double, int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Computes the Pelz-Good approximation for \(P(D_n invalid input: '<' d)\) as described in [2] in the class javadoc.
- penalty - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.ValuePenaltyPair
-
Penalty value for repair of out out of bounds points.
- penalty(double[], double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.FitnessFunction
- penalty(double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.FitnessFunction
-
Deprecated.
- pending - Variable in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet.SubIntervalsIterator
-
Sub-interval no yet returned.
- pending - Variable in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet.SubArcsIterator
-
Sub-arc no yet returned.
- pendingEvent - Variable in class org.apache.commons.math3.ode.events.EventState
-
Indicator of event expected during the step.
- pendingEvent - Variable in class org.apache.commons.math3.ode.events.FieldEventState
-
Indicator of event expected during the step.
- pendingEventTime - Variable in class org.apache.commons.math3.ode.events.EventState
-
Occurrence time of the pending event.
- pendingEventTime - Variable in class org.apache.commons.math3.ode.events.FieldEventState
-
Occurrence time of the pending event.
- percentageValue() - Method in class org.apache.commons.math3.fraction.BigFraction
-
Gets the fraction percentage as a
double
. - percentageValue() - Method in class org.apache.commons.math3.fraction.Fraction
-
Gets the fraction percentage as a
double
. - percentile(double[], double) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns an estimate of the
p
th percentile of the values in thevalues
array. - percentile(double[], int, int, double) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns an estimate of the
p
th percentile of the values in thevalues
array, starting with the element in (0-based) positionbegin
in the array and includinglength
values. - Percentile - Class in org.apache.commons.math3.stat.descriptive.rank
-
Provides percentile computation.
- Percentile() - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Constructs a Percentile with the following defaults.
- Percentile(double) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Constructs a Percentile with the specific quantile value and the following default method type:
Percentile.EstimationType.LEGACY
default NaN strategy:NaNStrategy.REMOVED
a Kth Selector :KthSelector
- Percentile(double, Percentile.EstimationType, NaNStrategy, KthSelector) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Constructs a Percentile with the specific quantile value,
Percentile.EstimationType
,NaNStrategy
andKthSelector
. - Percentile(Percentile) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Copy constructor, creates a new
Percentile
identical to theoriginal
- PERCENTILE - Static variable in class org.apache.commons.math3.stat.StatUtils
-
percentile
- PERCENTILE_IMPLEMENTATION_CANNOT_ACCESS_METHOD - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- PERCENTILE_IMPLEMENTATION_UNSUPPORTED_METHOD - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- Percentile.EstimationType - Enum in org.apache.commons.math3.stat.descriptive.rank
-
An enum for various estimation strategies of a percentile referred in wikipedia on quantile with the names of enum matching those of types mentioned in wikipedia.
- percentileImpl - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Percentile statistic implementation - can be reset by setter.
- performDoubleQRStep(int, int, int, SchurTransformer.ShiftInfo, double[]) - Method in class org.apache.commons.math3.linear.SchurTransformer
-
Perform a double QR step involving rows l:idx and columns m:n
- performHouseholderReflection(int, double[][]) - Method in class org.apache.commons.math3.linear.QRDecomposition
-
Perform Householder reflection for a minor A(minor, minor) of A.
- performHouseholderReflection(int, double[][]) - Method in class org.apache.commons.math3.linear.RRQRDecomposition
-
Perform Householder reflection for a minor A(minor, minor) of A.
- performRowOperations(int, int) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Perform the row operations of the simplex algorithm with the selected pivot column and row.
- performTest - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
stability check enabling parameter.
- period - Variable in class org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator
-
Period.
- permutation - Variable in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer.InternalData
-
Columns permutation array.
- permutation - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Deprecated.Columns permutation array.
- permutation - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.Columns permutation array.
- PERMUTATION_EXCEEDS_N - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- PERMUTATION_SIZE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- PermutationChromosome<T> - Interface in org.apache.commons.math3.genetics
-
Interface indicating that the chromosome represents a permutation of objects.
- perturb(int) - Static method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Perturb the hash for starting probing.
- perturb(int) - Static method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Perturb the hash for starting probing.
- PERTURB_SHIFT - Static variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Number of bits to perturb the index when probing for collision resolution.
- PERTURB_SHIFT - Static variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Number of bits to perturb the index when probing for collision resolution.
- PG_SUM_RELATIVE_ERROR - Static variable in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Convergence criterion for the sums in #pelzGood(double, double, int)}
- phase - Variable in class org.apache.commons.math3.analysis.function.HarmonicOscillator
-
Phase.
- phi - Variable in class org.apache.commons.math3.fitting.HarmonicCurveFitter.ParameterGuesser
-
Phase.
- phi - Variable in class org.apache.commons.math3.fitting.HarmonicFitter.ParameterGuesser
-
Deprecated.Phase.
- phi - Variable in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
-
Polar angle (co-latitude) Φ.
- phi - Variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point
-
Polar angle \( \varphi \).
- phi - Variable in class org.apache.commons.math3.optimization.fitting.HarmonicFitter.ParameterGuesser
-
Deprecated.Phase.
- phiHessian - Variable in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
-
Hessian of polar (co-latitude) angle Φ.
- pi - Variable in class org.apache.commons.math3.dfp.DfpField
-
A
Dfp
with value π. - PI - Static variable in class org.apache.commons.math3.util.FastMath
-
Archimede's constant PI, ratio of circle circumference to diameter.
- PI_O_4_BITS - Static variable in class org.apache.commons.math3.util.FastMath
-
Bits of pi/4, need for reducePayneHanek().
- PI_SQUARED - Static variable in class org.apache.commons.math3.util.MathUtils
-
\(\pi^2\)
- PI2 - Static variable in class org.apache.commons.math3.special.BesselJ
-
-2 / pi
- PiecewiseBicubicSplineInterpolatingFunction - Class in org.apache.commons.math3.analysis.interpolation
-
Function that implements the bicubic spline interpolation.
- PiecewiseBicubicSplineInterpolatingFunction(double[], double[], double[][]) - Constructor for class org.apache.commons.math3.analysis.interpolation.PiecewiseBicubicSplineInterpolatingFunction
- PiecewiseBicubicSplineInterpolator - Class in org.apache.commons.math3.analysis.interpolation
-
Generates a piecewise-bicubic interpolating function.
- PiecewiseBicubicSplineInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.PiecewiseBicubicSplineInterpolator
- piSplit - Variable in class org.apache.commons.math3.dfp.DfpField
-
A two elements
Dfp
array with value π split in two pieces. - piString - Static variable in class org.apache.commons.math3.dfp.DfpField
-
High precision string representation of π.
- pivot - Variable in class org.apache.commons.math3.linear.FieldLUDecomposition
-
Pivot permutation associated with LU decomposition.
- pivot - Variable in class org.apache.commons.math3.linear.FieldLUDecomposition.Solver
-
Pivot permutation associated with LU decomposition.
- pivot - Variable in class org.apache.commons.math3.linear.LUDecomposition
-
Pivot permutation associated with LU decomposition.
- pivot - Variable in class org.apache.commons.math3.linear.LUDecomposition.Solver
-
Pivot permutation associated with LU decomposition.
- pivotIndex(double[], int, int) - Method in class org.apache.commons.math3.util.CentralPivotingStrategy
-
Find pivot index of the array so that partition and Kth element selection can be made
- pivotIndex(double[], int, int) - Method in class org.apache.commons.math3.util.MedianOf3PivotingStrategy
-
Find pivot index of the array so that partition and Kth element selection can be made
- pivotIndex(double[], int, int) - Method in interface org.apache.commons.math3.util.PivotingStrategyInterface
-
Find pivot index of the array so that partition and Kth element selection can be made
- pivotIndex(double[], int, int) - Method in class org.apache.commons.math3.util.RandomPivotingStrategy
-
Find pivot index of the array so that partition and Kth element selection can be made
- pivotingBall(Iterable<P>) - Method in class org.apache.commons.math3.geometry.enclosing.WelzlEncloser
-
Compute enclosing ball using Gärtner's pivoting heuristic.
- pivotingStrategy - Variable in class org.apache.commons.math3.util.KthSelector
-
A
PivotingStrategyInterface
used for pivoting - PivotingStrategyInterface - Interface in org.apache.commons.math3.util
-
A strategy to pick a pivoting index of an array for doing partitioning.
- PIVOTS_HEAP_LENGTH - Static variable in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Maximum number of cached pivots in the pivots cached array
- pivotSelection - Variable in class org.apache.commons.math3.optim.linear.SimplexSolver
-
The pivot selection method to use.
- PivotSelectionRule - Enum in org.apache.commons.math3.optim.linear
-
Pivot selection rule to the use for a Simplex solver.
- PivotSelectionRule() - Constructor for enum org.apache.commons.math3.optim.linear.PivotSelectionRule
- Plane - Class in org.apache.commons.math3.geometry.euclidean.threed
-
The class represent planes in a three dimensional space.
- Plane(Plane) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Copy constructor.
- Plane(Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Deprecated.as of 3.3, replaced with
Plane(Vector3D, double)
- Plane(Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Build a plane normal to a given direction and containing the origin.
- Plane(Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Deprecated.as of 3.3, replaced with
Plane(Vector3D, Vector3D, double)
- Plane(Vector3D, Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Build a plane from a point and a normal.
- Plane(Vector3D, Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Deprecated.as of 3.3, replaced with
Plane(Vector3D, Vector3D, Vector3D, double)
- Plane(Vector3D, Vector3D, Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Build a plane from three points.
- Please use their replacements, to be found under org.apache.commons.math3.ml.clustering - Search tag in package org.apache.commons.math3.stat.clustering
- Section
- Please use their replacements, to be found under org.apache.commons.math3.optim org.apache.commons.math3.fitting - Search tag in package org.apache.commons.math3.optimization
- Section
- plus - Variable in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Tree at the plus side of the cut hyperplane.
- plus - Variable in class org.apache.commons.math3.geometry.partitioning.SubHyperplane.SplitSubHyperplane
-
Part of the sub-hyperplane on the plus side of the splitting hyperplane.
- plus - Variable in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet.Split
-
Part of the arcs set on the plus side of the splitting arc.
- PLUS - Enum constant in enum org.apache.commons.math3.geometry.partitioning.Side
-
Code for the plus side of the hyperplane.
- PLUS - Enum constant in enum org.apache.commons.math3.ode.events.Transformer
-
Transformer computing transformed = g.
- PLUS_I - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
First canonical vector (coordinates: 1, 0, 0).
- PLUS_I - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point
-
+I (coordinates: \( \theta = 0, \varphi = \pi/2 \)).
- PLUS_J - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Second canonical vector (coordinates: 0, 1, 0).
- PLUS_J - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point
-
+J (coordinates: \( \theta = \pi/2, \varphi = \pi/2 \))).
- PLUS_K - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Third canonical vector (coordinates: 0, 0, 1).
- PLUS_K - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point
-
+K (coordinates: \( \theta = any angle, \varphi = 0 \)).
- PLUS_MINUS_SUB - Enum constant in enum org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor.Order
-
Indicator for visit order plus sub-tree, then minus sub-tree, and last cut sub-hyperplane.
- PLUS_SUB_MINUS - Enum constant in enum org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor.Order
-
Indicator for visit order plus sub-tree, then cut sub-hyperplane, and last minus sub-tree.
- plusFound - Variable in class org.apache.commons.math3.geometry.partitioning.InsideFinder
-
Indicator of inside leaf nodes found on the plus side.
- plusFound() - Method in class org.apache.commons.math3.geometry.partitioning.InsideFinder
-
Check if inside leaf nodes have been found on the plus side.
- plusInside - Variable in class org.apache.commons.math3.geometry.partitioning.BoundaryAttribute
-
Part of the node cut sub-hyperplane that belongs to the boundary and has the inside of the region on the plus side of its underlying hyperplane (may be null).
- plusOutside - Variable in class org.apache.commons.math3.geometry.partitioning.BoundaryAttribute
-
Part of the node cut sub-hyperplane that belongs to the boundary and has the outside of the region on the plus side of its underlying hyperplane (may be null).
- pode - Variable in class org.apache.commons.math3.ode.JacobianMatrices
-
FODE without exact parameter Jacobian computation skill.
- pode - Variable in class org.apache.commons.math3.ode.ParameterJacobianWrapper
-
Raw ODE without Jacobian computation skill to be wrapped into a ParameterJacobianProvider.
- point - Variable in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory.LocalLeastSquaresProblem.LazyUnweightedEvaluation
-
Point of evaluation.
- point - Variable in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory.LocalLeastSquaresProblem.UnweightedEvaluation
-
Point of evaluation.
- point - Variable in class org.apache.commons.math3.ml.clustering.DoublePoint
-
Point coordinates.
- point - Variable in class org.apache.commons.math3.optim.PointValuePair.DataTransferObject
-
Point coordinates.
- point - Variable in class org.apache.commons.math3.optim.PointVectorValuePair.DataTransferObject
-
Point coordinates.
- point - Variable in class org.apache.commons.math3.optim.univariate.UnivariatePointValuePair
-
Point.
- point - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.As of 3.1.
- point - Variable in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
-
Deprecated.Current point.
- point - Variable in class org.apache.commons.math3.optimization.PointValuePair.DataTransferObject
-
Deprecated.Point coordinates.
- point - Variable in class org.apache.commons.math3.optimization.PointVectorValuePair.DataTransferObject
-
Deprecated.Point coordinates.
- point - Variable in class org.apache.commons.math3.optimization.univariate.UnivariatePointValuePair
-
Deprecated.Point.
- point - Variable in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
-
Deprecated.Point coordinates.
- point - Variable in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
-
Deprecated.Point coordinates.
- Point<S> - Interface in org.apache.commons.math3.geometry
-
This interface represents a generic geometrical point.
- pointAt(double) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Get one point from the line.
- pointIsBetween(Vector2D[], int, int) - Method in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor
-
Check if a point is geometrically between its neighbor in an array.
- points - Variable in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
-
Nodes.
- points - Variable in class org.apache.commons.math3.fitting.AbstractCurveFitter.TheoreticalValuesFunction
-
Observations.
- points - Variable in class org.apache.commons.math3.ml.clustering.Cluster
-
The points contained in this cluster.
- points - Variable in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
-
The list of points used in the last call to
FuzzyKMeansClusterer.cluster(Collection)
. - points - Variable in class org.apache.commons.math3.stat.clustering.Cluster
-
Deprecated.The points contained in this cluster.
- pointsAndWeights - Variable in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
-
List of points and weights, indexed by the order of the rule.
- pointsAndWeightsDouble - Variable in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
-
Cache for double-precision rules.
- PointStatus() - Constructor for enum org.apache.commons.math3.ml.clustering.DBSCANClusterer.PointStatus
- PointStatus() - Constructor for enum org.apache.commons.math3.stat.clustering.DBSCANClusterer.PointStatus
-
Deprecated.
- PointValuePair - Class in org.apache.commons.math3.optim
-
This class holds a point and the value of an objective function at that point.
- PointValuePair - Class in org.apache.commons.math3.optimization
-
Deprecated.As of 3.1 (to be removed in 4.0).
- PointValuePair(double[], double) - Constructor for class org.apache.commons.math3.optim.PointValuePair
-
Builds a point/objective function value pair.
- PointValuePair(double[], double) - Constructor for class org.apache.commons.math3.optimization.PointValuePair
-
Deprecated.Builds a point/objective function value pair.
- PointValuePair(double[], double, boolean) - Constructor for class org.apache.commons.math3.optim.PointValuePair
-
Builds a point/objective function value pair.
- PointValuePair(double[], double, boolean) - Constructor for class org.apache.commons.math3.optimization.PointValuePair
-
Deprecated.Builds a point/objective function value pair.
- PointValuePair.DataTransferObject - Class in org.apache.commons.math3.optim
-
Internal class used only for serialization.
- PointValuePair.DataTransferObject - Class in org.apache.commons.math3.optimization
-
Deprecated.Internal class used only for serialization.
- PointVectorValuePair - Class in org.apache.commons.math3.optim
-
This class holds a point and the vectorial value of an objective function at that point.
- PointVectorValuePair - Class in org.apache.commons.math3.optimization
-
Deprecated.As of 3.1 (to be removed in 4.0).
- PointVectorValuePair(double[], double[]) - Constructor for class org.apache.commons.math3.optim.PointVectorValuePair
-
Builds a point/objective function value pair.
- PointVectorValuePair(double[], double[]) - Constructor for class org.apache.commons.math3.optimization.PointVectorValuePair
-
Deprecated.Builds a point/objective function value pair.
- PointVectorValuePair(double[], double[], boolean) - Constructor for class org.apache.commons.math3.optim.PointVectorValuePair
-
Build a point/objective function value pair.
- PointVectorValuePair(double[], double[], boolean) - Constructor for class org.apache.commons.math3.optimization.PointVectorValuePair
-
Deprecated.Build a point/objective function value pair.
- PointVectorValuePair.DataTransferObject - Class in org.apache.commons.math3.optim
-
Internal class used only for serialization.
- PointVectorValuePair.DataTransferObject - Class in org.apache.commons.math3.optimization
-
Deprecated.Internal class used only for serialization.
- PoissonDistribution - Class in org.apache.commons.math3.distribution
-
Implementation of the Poisson distribution.
- PoissonDistribution(double) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution
-
Creates a new Poisson distribution with specified mean.
- PoissonDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution
-
Creates a new Poisson distribution with the specified mean and convergence criterion.
- PoissonDistribution(double, double, int) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution
-
Creates a new Poisson distribution with specified mean, convergence criterion and maximum number of iterations.
- PoissonDistribution(double, int) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution
-
Creates a new Poisson distribution with the specified mean and maximum number of iterations.
- PoissonDistribution(RandomGenerator, double, double, int) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution
-
Creates a new Poisson distribution with specified mean, convergence criterion and maximum number of iterations.
- POLAK_RIBIERE - Enum constant in enum org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.Formula
-
Polak-Ribière formula.
- POLAK_RIBIERE - Enum constant in enum org.apache.commons.math3.optimization.general.ConjugateGradientFormula
-
Deprecated.Polak-Ribière formula.
- polar2Complex(double, double) - Static method in class org.apache.commons.math3.complex.ComplexUtils
-
Creates a complex number from the given polar representation.
- pole - Variable in class org.apache.commons.math3.geometry.spherical.twod.Circle
-
Pole or circle center.
- PollardRho - Class in org.apache.commons.math3.primes
-
Implementation of the Pollard's rho factorization algorithm.
- PollardRho() - Constructor for class org.apache.commons.math3.primes.PollardRho
-
Hide utility class.
- polyCosine(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Computes cos(x) - 1, where |x| invalid input: '<' 1/16.
- polygon - Variable in class org.apache.commons.math3.geometry.euclidean.twod.NestedLoops
-
Polygon enclosing a finite region.
- PolygonsSet - Class in org.apache.commons.math3.geometry.euclidean.twod
-
This class represents a 2D region: a set of polygons.
- PolygonsSet() - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
-
Deprecated.as of 3.3, replaced with
PolygonsSet(double)
- PolygonsSet(double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
-
Build a polygons set representing the whole plane.
- PolygonsSet(double, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
-
Deprecated.as of 3.3, replaced with
PolygonsSet(double, double, double, double, double)
- PolygonsSet(double, double, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
-
Build a parallellepipedic box.
- PolygonsSet(double, Vector2D...) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
-
Build a polygon from a simple list of vertices.
- PolygonsSet(Collection<SubHyperplane<Euclidean2D>>) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
-
Deprecated.as of 3.3, replaced with
PolygonsSet(Collection, double)
- PolygonsSet(Collection<SubHyperplane<Euclidean2D>>, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
-
Build a polygons set from a Boundary REPresentation (B-rep).
- PolygonsSet(BSPTree<Euclidean2D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
-
Deprecated.as of 3.3, replaced with
PolygonsSet(BSPTree, double)
- PolygonsSet(BSPTree<Euclidean2D>, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
-
Build a polygons set from a BSP tree.
- PolygonsSet.ConnectableSegment - Class in org.apache.commons.math3.geometry.euclidean.twod
-
Private extension of Segment allowing connection.
- PolygonsSet.Edge - Class in org.apache.commons.math3.geometry.euclidean.twod
-
Internal class for holding edges while they are processed to build a BSP tree.
- PolygonsSet.SegmentsBuilder - Class in org.apache.commons.math3.geometry.euclidean.twod
-
Visitor building segments.
- PolygonsSet.Vertex - Class in org.apache.commons.math3.geometry.euclidean.twod
-
Internal class for holding vertices while they are processed to build a BSP tree.
- PolyhedronsSet - Class in org.apache.commons.math3.geometry.euclidean.threed
-
This class represents a 3D region: a set of polyhedrons.
- PolyhedronsSet() - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
-
Deprecated.as of 3.3, replaced with
PolyhedronsSet(double)
- PolyhedronsSet(double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
-
Build a polyhedrons set representing the whole real line.
- PolyhedronsSet(double, double, double, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
-
Deprecated.as of 3.3, replaced with
PolyhedronsSet(double, double, double, double, double, double, double)
- PolyhedronsSet(double, double, double, double, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
-
Build a parallellepipedic box.
- PolyhedronsSet(Collection<SubHyperplane<Euclidean3D>>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
-
Deprecated.as of 3.3, replaced with
PolyhedronsSet(Collection, double)
- PolyhedronsSet(Collection<SubHyperplane<Euclidean3D>>, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
-
Build a polyhedrons set from a Boundary REPresentation (B-rep) specified by sub-hyperplanes.
- PolyhedronsSet(List<Vector3D>, List<int[]>, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
-
Build a polyhedrons set from a Boundary REPresentation (B-rep) specified by connected vertices.
- PolyhedronsSet(BSPTree<Euclidean3D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
-
Deprecated.as of 3.3, replaced with
PolyhedronsSet(BSPTree, double)
- PolyhedronsSet(BSPTree<Euclidean3D>, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
-
Build a polyhedrons set from a BSP tree.
- PolyhedronsSet.FacetsContributionVisitor - Class in org.apache.commons.math3.geometry.euclidean.threed
-
Visitor computing geometrical properties.
- PolyhedronsSet.RotationTransform - Class in org.apache.commons.math3.geometry.euclidean.threed
-
3D rotation as a Transform.
- PolyhedronsSet.TranslationTransform - Class in org.apache.commons.math3.geometry.euclidean.threed
-
3D translation as a transform.
- polynomial(double...) - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
-
Create a polynomial from its coefficients.
- POLYNOMIAL - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- POLYNOMIAL_INTERPOLANTS_MISMATCH_SEGMENTS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- PolynomialCurveFitter - Class in org.apache.commons.math3.fitting
-
Fits points to a
polynomial
function. - PolynomialCurveFitter(double[], int) - Constructor for class org.apache.commons.math3.fitting.PolynomialCurveFitter
-
Contructor used by the factory methods.
- polynomialDerivative() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
-
Returns the derivative as a
PolynomialFunction
. - PolynomialFitter - Class in org.apache.commons.math3.fitting
-
Deprecated.As of 3.3. Please use
PolynomialCurveFitter
andWeightedObservedPoints
instead. - PolynomialFitter - Class in org.apache.commons.math3.optimization.fitting
-
Deprecated.As of 3.1 (to be removed in 4.0).
- PolynomialFitter(int, DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.PolynomialFitter
-
Deprecated.Since 3.1 (to be removed in 4.0). Please use
PolynomialFitter(DifferentiableMultivariateVectorOptimizer)
instead. - PolynomialFitter(MultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.fitting.PolynomialFitter
-
Deprecated.Simple constructor.
- PolynomialFitter(DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.PolynomialFitter
-
Deprecated.Simple constructor.
- polynomialFunction - Variable in class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver
-
Function.
- PolynomialFunction - Class in org.apache.commons.math3.analysis.polynomials
-
Immutable representation of a real polynomial function with real coefficients.
- PolynomialFunction(double[]) - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
-
Construct a polynomial with the given coefficients.
- PolynomialFunction.Parametric - Class in org.apache.commons.math3.analysis.polynomials
-
Dedicated parametric polynomial class.
- PolynomialFunctionLagrangeForm - Class in org.apache.commons.math3.analysis.polynomials
-
Implements the representation of a real polynomial function in Lagrange Form.
- PolynomialFunctionLagrangeForm(double[], double[]) - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
-
Construct a Lagrange polynomial with the given abscissas and function values.
- PolynomialFunctionNewtonForm - Class in org.apache.commons.math3.analysis.polynomials
-
Implements the representation of a real polynomial function in Newton Form.
- PolynomialFunctionNewtonForm(double[], double[]) - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
-
Construct a Newton polynomial with the given a[] and c[].
- polynomials - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
-
The polynomial functions that make up the spline.
- polynomials - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
-
Interpolation polynomials.
- PolynomialSolver - Interface in org.apache.commons.math3.analysis.solvers
-
Interface for (polynomial) root-finding algorithms.
- polynomialSplineDerivative() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
-
Get the derivative of the polynomial spline function.
- PolynomialSplineFunction - Class in org.apache.commons.math3.analysis.polynomials
-
Represents a polynomial spline function.
- PolynomialSplineFunction(double[], PolynomialFunction[]) - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
-
Construct a polynomial spline function with the given segment delimiters and interpolating polynomials.
- PolynomialsUtils - Class in org.apache.commons.math3.analysis.polynomials
-
A collection of static methods that operate on or return polynomials.
- PolynomialsUtils() - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
-
Private constructor, to prevent instantiation.
- PolynomialsUtils.JacobiKey - Class in org.apache.commons.math3.analysis.polynomials
-
Inner class for Jacobi polynomials keys.
- PolynomialsUtils.RecurrenceCoefficientsGenerator - Interface in org.apache.commons.math3.analysis.polynomials
-
Interface for recurrence coefficients generation.
- polySine(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Computes sin(x) - x, where |x| invalid input: '<' 1/16.
- Population - Interface in org.apache.commons.math3.genetics
-
A collection of chromosomes that facilitates generational evolution.
- POPULATION_LIMIT_NOT_POSITIVE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- POPULATION_SIZE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- populationLimit - Variable in class org.apache.commons.math3.genetics.ListPopulation
-
maximal size of the population
- populationSize - Variable in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
The population size.
- PopulationSize(int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.PopulationSize
- PopulationSize(int) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer.PopulationSize
-
Deprecated.
- populationVariance(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the population variance of the entries in the input array, or
Double.NaN
if the array is empty. - populationVariance(double[], double) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the population variance of the entries in the input array, using the precomputed mean value.
- populationVariance(double[], double, int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the population variance of the entries in the specified portion of the input array, using the precomputed mean value.
- populationVariance(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the population variance of the entries in the specified portion of the input array, or
Double.NaN
if the designated subarray is empty. - POS_INFINITY_STRING - Static variable in class org.apache.commons.math3.dfp.Dfp
-
String for positive infinity representation.
- posInf - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Deprecated.Positive infinity marker.
- position - Variable in class org.apache.commons.math3.stat.ranking.NaturalRanking.IntDoublePair
-
Original position of the pair
- Position() - Constructor for enum org.apache.commons.math3.util.MathArrays.Position
- POSITIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
A vector with all coordinates set to positive infinity.
- POSITIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
A vector with all coordinates set to positive infinity.
- POSITIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
A vector with all coordinates set to positive infinity.
- POSITIVE_INFINITY - Static variable in class org.apache.commons.math3.util.Decimal64
-
The constant value of
Double.POSITIVE_INFINITY
as aDecimal64
. - POSITIVE_INFINITY - Static variable in class org.apache.commons.math3.util.FastMath.Split
-
Split version of positive infinity.
- POSITIVE_ZERO - Static variable in class org.apache.commons.math3.util.Precision
-
Positive zero.
- POSITIVE_ZERO_DOUBLE_BITS - Static variable in class org.apache.commons.math3.util.Precision
-
Positive zero bits.
- POSITIVE_ZERO_FLOAT_BITS - Static variable in class org.apache.commons.math3.util.Precision
-
Positive zero bits.
- positiveOrNull() - Method in class org.apache.commons.math3.dfp.Dfp
-
Check if instance is greater than or equal to 0.
- pow(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Power operation.
- pow(double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Power operation.
- pow(double) - Method in class org.apache.commons.math3.complex.Complex
-
Returns of value of this complex number raised to the power of
x
. - pow(double) - Method in class org.apache.commons.math3.dfp.Dfp
-
Power operation.
- pow(double) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Returns a
double
whose value is (thisexponent), returning the result in reduced form. - pow(double) - Method in interface org.apache.commons.math3.RealFieldElement
-
Power operation.
- pow(double) - Method in class org.apache.commons.math3.util.Decimal64
-
Power operation.
- pow(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute power of a derivative structure.
- pow(double[], int, double, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute power of a derivative structure.
- pow(double[], int, int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute integer power of a derivative structure.
- pow(double, double) - Static method in class org.apache.commons.math3.util.FastMath
-
Power function.
- pow(double, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute power of a double to a derivative structure.
- pow(double, int) - Static method in class org.apache.commons.math3.util.FastMath
-
Raise a double to an int power.
- pow(double, long) - Static method in class org.apache.commons.math3.util.FastMath
-
Raise a double to a long power.
- pow(double, DerivativeStructure) - Static method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Compute ax where a is a double and x a
DerivativeStructure
- pow(double, SparseGradient) - Static method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Compute ax where a is a double and x a
SparseGradient
- pow(int) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Integer power operation.
- pow(int) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Integer power operation.
- pow(int) - Method in class org.apache.commons.math3.dfp.Dfp
-
Integer power operation.
- pow(int) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Returns a
BigFraction
whose value is(this<sup>exponent</sup>)
, returning the result in reduced form. - pow(int) - Method in interface org.apache.commons.math3.RealFieldElement
-
Integer power operation.
- pow(int) - Method in class org.apache.commons.math3.util.Decimal64
-
Integer power operation.
- pow(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Raise an int to an int power.
- pow(int, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Deprecated.As of 3.3. Please use
ArithmeticUtils.pow(int,int)
instead. - pow(long) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Returns a
BigFraction
whose value is (thisexponent), returning the result in reduced form. - pow(long) - Method in class org.apache.commons.math3.util.FastMath.Split
-
Computes this^e.
- pow(long, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Raise a long to an int power.
- pow(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Deprecated.As of 3.3. Please use
ArithmeticUtils.pow(long,int)
instead. - pow(BigInteger) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Returns a
BigFraction
whose value is (thisexponent), returning the result in reduced form. - pow(BigInteger, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Raise a BigInteger to an int power.
- pow(BigInteger, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Raise a BigInteger to a long power.
- pow(BigInteger, BigInteger) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Raise a BigInteger to a BigInteger power.
- pow(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Power operation.
- pow(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Power operation.
- pow(Complex) - Method in class org.apache.commons.math3.complex.Complex
-
Returns of value of this complex number raised to the power of
x
. - pow(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
-
Power operation.
- pow(Dfp, int) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
Raises base to the power a by successive squaring.
- pow(Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
Computes x to the y power.
- pow(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
-
Power operation.
- pow(T) - Method in interface org.apache.commons.math3.RealFieldElement
-
Power operation.
- Pow - Class in org.apache.commons.math3.analysis.function
-
Power function.
- Pow() - Constructor for class org.apache.commons.math3.analysis.function.Pow
- POW_TRAP - Static variable in class org.apache.commons.math3.dfp.DfpMath
-
Name for traps triggered by pow.
- PowellOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
-
Powell's algorithm.
- PowellOptimizer - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.As of 3.1 (to be removed in 4.0).
- PowellOptimizer(double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
-
The parameters control the default convergence checking procedure.
- PowellOptimizer(double, double) - Constructor for class org.apache.commons.math3.optimization.direct.PowellOptimizer
-
Deprecated.The parameters control the default convergence checking procedure.
- PowellOptimizer(double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
-
Builds an instance with the default convergence checking procedure.
- PowellOptimizer(double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.PowellOptimizer
-
Deprecated.Builds an instance with the default convergence checking procedure.
- PowellOptimizer(double, double, double, double, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
-
This constructor allows to specify a user-defined convergence checker, in addition to the parameters that control the default convergence checking procedure and the line search tolerances.
- PowellOptimizer(double, double, double, double, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.PowellOptimizer
-
Deprecated.This constructor allows to specify a user-defined convergence checker, in addition to the parameters that control the default convergence checking procedure and the line search tolerances.
- PowellOptimizer(double, double, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
-
This constructor allows to specify a user-defined convergence checker, in addition to the parameters that control the default convergence checking procedure.
- PowellOptimizer(double, double, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.PowellOptimizer
-
Deprecated.This constructor allows to specify a user-defined convergence checker, in addition to the parameters that control the default convergence checking procedure.
- PowellOptimizer.LineSearch - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.Class for finding the minimum of the objective function along a given direction.
- power(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Returns the result multiplying this with itself
p
times. - power(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns the result of multiplying
this
with itselfp
times. - power(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Returns the result multiplying this with itself
p
times. - power(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Returns the result of multiplying
this
with itselfp
times. - Power - Class in org.apache.commons.math3.analysis.function
-
Power function.
- Power(double) - Constructor for class org.apache.commons.math3.analysis.function.Power
- POWER_NEGATIVE_PARAMETERS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- power10(int) - Method in class org.apache.commons.math3.dfp.Dfp
-
Return the specified power of 10.
- power10K(int) - Method in class org.apache.commons.math3.dfp.Dfp
-
Get the specified power of 10000.
- POWERS_OF_TWO - Static variable in class org.apache.commons.math3.transform.TransformUtils
-
Table of the powers of 2 to facilitate binary search lookup.
- Precision - Class in org.apache.commons.math3.util
-
Utilities for comparing numbers.
- Precision() - Constructor for class org.apache.commons.math3.util.Precision
-
Private constructor.
- precondition(double[], double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.IdentityPreconditioner
-
Precondition a search direction.
- precondition(double[], double[]) - Method in interface org.apache.commons.math3.optim.nonlinear.scalar.gradient.Preconditioner
-
Precondition a search direction.
- precondition(double[], double[]) - Method in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer.IdentityPreconditioner
-
Deprecated.Precondition a search direction.
- precondition(double[], double[]) - Method in interface org.apache.commons.math3.optimization.general.Preconditioner
-
Deprecated.Precondition a search direction.
- PreconditionedIterativeLinearSolver - Class in org.apache.commons.math3.linear
-
This abstract class defines preconditioned iterative solvers.
- PreconditionedIterativeLinearSolver(int) - Constructor for class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
-
Creates a new instance of this class, with default iteration manager.
- PreconditionedIterativeLinearSolver(IterationManager) - Constructor for class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
-
Creates a new instance of this class, with custom iteration manager.
- preconditioner - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
-
Preconditioner (may be null).
- preconditioner - Variable in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
-
Deprecated.Preconditioner (may be null).
- Preconditioner - Interface in org.apache.commons.math3.optim.nonlinear.scalar.gradient
-
This interface represents a preconditioner for differentiable scalar objective function optimizers.
- Preconditioner - Interface in org.apache.commons.math3.optimization.general
-
Deprecated.As of 3.1 (to be removed in 4.0).
- Preconditioning - Search tag in class org.apache.commons.math3.linear.SymmLQ
- Section
- predict() - Method in class org.apache.commons.math3.filter.KalmanFilter
-
Predict the internal state estimation one time step ahead.
- predict(double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Returns the "predicted"
y
value associated with the suppliedx
value, based on the data that has been added to the model when this method is activated. - predict(double[]) - Method in class org.apache.commons.math3.filter.KalmanFilter
-
Predict the internal state estimation one time step ahead.
- predict(RealVector) - Method in class org.apache.commons.math3.filter.KalmanFilter
-
Predict the internal state estimation one time step ahead.
- prefix - Variable in class org.apache.commons.math3.geometry.VectorFormat
-
Prefix.
- prefix - Variable in class org.apache.commons.math3.linear.RealMatrixFormat
-
Prefix.
- prefix - Variable in class org.apache.commons.math3.linear.RealVectorFormat
-
Prefix.
- prelim(double[], double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
SUBROUTINE PRELIM sets the elements of XBASE, XPT, FVAL, GOPT, HQ, PQ, BMAT and ZMAT for the first iteration, and it maintains the values of NF and KOPT.
- prelim(double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.SUBROUTINE PRELIM sets the elements of XBASE, XPT, FVAL, GOPT, HQ, PQ, BMAT and ZMAT for the first iteration, and it maintains the values of NF and KOPT.
- preMultiply(double[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns the (row) vector result of premultiplying this by the vector
v
. - preMultiply(double[]) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Returns the (row) vector result of premultiplying this by the vector
v
. - preMultiply(double[]) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Returns the (row) vector result of premultiplying this by the vector
v
. - preMultiply(double[]) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
-
Returns the (row) vector result of premultiplying this by the vector
v
. - preMultiply(double[]) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Returns the (row) vector result of premultiplying this by the vector
v
. - preMultiply(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Premultiply this matrix by
m
. - preMultiply(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Premultiply this matrix by
m
. - preMultiply(FieldVector<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Returns the (row) vector result of premultiplying this by the vector
v
. - preMultiply(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Returns the (row) vector result of premultiplying this by the vector
v
. - preMultiply(RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns the result of premultiplying
this
bym
. - preMultiply(RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Returns the result of premultiplying
this
bym
. - preMultiply(RealVector) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns the (row) vector result of premultiplying this by the vector
v
. - preMultiply(RealVector) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
-
Returns the (row) vector result of premultiplying this by the vector
v
. - preMultiply(RealVector) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Returns the (row) vector result of premultiplying this by the vector
v
. - preMultiply(T[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Returns the (row) vector result of premultiplying this by the vector
v
. - preMultiply(T[]) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Returns the (row) vector result of premultiplying this by the vector
v
. - preMultiply(T[]) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Returns the (row) vector result of premultiplying this by the vector
v
. - preMultiply(T[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Returns the (row) vector result of premultiplying this by the vector
v
. - previous - Variable in exception class org.apache.commons.math3.exception.NonMonotonicSequenceException
-
Previous value.
- previous - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.ConnectableSegment
-
Previous segment.
- previous - Variable in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonFieldIntegrator.Corrector
-
Previous state.
- previous - Variable in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator.Corrector
-
Previous state.
- previous - Variable in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Marker
-
The previous marker links
- previous(PSquarePercentile.Marker) - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Marker
-
Sets the previous marker.
- previousEventTime - Variable in class org.apache.commons.math3.ode.events.EventState
-
Occurrence time of the previous event.
- previousEventTime - Variable in class org.apache.commons.math3.ode.events.FieldEventState
-
Occurrence time of the previous event.
- previousIndex(int) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolator
-
Deprecated.Computes the previous index of an array, clipping if necessary.
- previousIndex(int) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolator
-
Deprecated.Compute the previous index of an array, clipping if necessary.
- previousInternalNode(BSPTree<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Get the previous internal node.
- previousInternalNode(BSPTree<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
-
Get the previous internal node.
- previousState - Variable in class org.apache.commons.math3.ode.nonstiff.RungeKuttaStepInterpolator
-
Previous state.
- previousStateLinearCombination(T...) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaFieldStepInterpolator
-
Compute a state by linear combination added to previous state.
- primary - Variable in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Primary differential equation.
- primary - Variable in class org.apache.commons.math3.ode.FieldExpandableODE
-
Primary differential equation.
- primaryMapper - Variable in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Mapper for primary equation.
- primaryMapper - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Equations mapper for the primary equations set.
- primaryState - Variable in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
State.
- primaryStateDot - Variable in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
State derivative.
- primeFactors(int) - Static method in class org.apache.commons.math3.primes.PollardRho
-
Factorization using Pollard's rho algorithm.
- primeFactors(int) - Static method in class org.apache.commons.math3.primes.Primes
-
Prime factors decomposition
- Primes - Class in org.apache.commons.math3.primes
-
Methods related to prime numbers in the range of
int
: primality test prime number generation factorization - Primes() - Constructor for class org.apache.commons.math3.primes.Primes
-
Hide utility class.
- PRIMES - Static variable in class org.apache.commons.math3.primes.SmallPrimes
-
The first 512 prime numbers.
- PRIMES - Static variable in class org.apache.commons.math3.random.HaltonSequenceGenerator
-
The first 40 primes.
- PRIMES_LAST - Static variable in class org.apache.commons.math3.primes.SmallPrimes
-
The last number in PRIMES.
- printarray(PrintStream, String, int, double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
-
Print an array.
- printarray(PrintStream, String, int, double[][]) - Static method in class org.apache.commons.math3.util.FastMathCalc
-
Print an array.
- printMethod() - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
- printMethod() - Static method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.
- printState(int) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
- printState(int) - Static method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.
- probabilities - Variable in class org.apache.commons.math3.distribution.EnumeratedDistribution
-
Probabilities of respective random variable values.
- probability(double) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X = x)
. - probability(double) - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X = x)
. - probability(double) - Method in interface org.apache.commons.math3.distribution.RealDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X = x)
. - probability(double) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X = x)
. - probability(double, double) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(x0 < X <= x1)
. - probability(double, double) - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(x0 < X <= x1)
. - probability(double, double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(x0 < X <= x1)
. - probability(int) - Method in class org.apache.commons.math3.distribution.BinomialDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X = x)
. - probability(int) - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X = x)
. - probability(int) - Method in class org.apache.commons.math3.distribution.GeometricDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X = x)
. - probability(int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X = x)
. - probability(int) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X = x)
. - probability(int) - Method in class org.apache.commons.math3.distribution.PascalDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X = x)
. - probability(int) - Method in class org.apache.commons.math3.distribution.PoissonDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X = x)
. - probability(int) - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X = x)
. - probability(int) - Method in class org.apache.commons.math3.distribution.ZipfDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X = x)
. - probability(T) - Method in class org.apache.commons.math3.distribution.EnumeratedDistribution
-
For a random variable
X
whose values are distributed according to this distribution, this method returnsP(X = x)
. - probabilityOfSuccess - Variable in class org.apache.commons.math3.distribution.BinomialDistribution
-
The probability of success.
- probabilityOfSuccess - Variable in class org.apache.commons.math3.distribution.GeometricDistribution
-
The probability of success.
- probabilityOfSuccess - Variable in class org.apache.commons.math3.distribution.PascalDistribution
-
The probability of success.
- probe(int, int) - Static method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Compute next probe for collision resolution
- probe(int, int) - Static method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Compute next probe for collision resolution
- problem - Variable in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter
-
the delegate problem
- processDataPoint(double) - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Markers
-
Process a data point
- processDataPoint(double) - Method in interface org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.PSquareMarkers
-
Process a data point by moving the marker heights based on estimator.
- processed - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.ConnectableSegment
-
Indicator for completely processed segments.
- processModel - Variable in class org.apache.commons.math3.filter.KalmanFilter
-
The process model used by this filter instance.
- ProcessModel - Interface in org.apache.commons.math3.filter
-
Defines the process dynamics model for the use with a
KalmanFilter
. - processNoiseCovMatrix - Variable in class org.apache.commons.math3.filter.DefaultProcessModel
-
The process noise covariance matrix.
- product(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the product of the entries in the input array, or
Double.NaN
if the array is empty. - product(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the product of the entries in the specified portion of the input array, or
Double.NaN
if the designated subarray is empty. - Product - Class in org.apache.commons.math3.stat.descriptive.summary
-
Returns the product of the available values.
- Product() - Constructor for class org.apache.commons.math3.stat.descriptive.summary.Product
-
Create a Product instance
- Product(Product) - Constructor for class org.apache.commons.math3.stat.descriptive.summary.Product
-
Copy constructor, creates a new
Product
identical to theoriginal
- PRODUCT - Static variable in class org.apache.commons.math3.stat.StatUtils
-
prod
- productsSums - Variable in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
-
Sums of products for each component.
- project(Point<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
-
Project a point to the hyperplane.
- project(Point<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Project a point to the hyperplane.
- project(Point<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Project a point to the hyperplane.
- project(Point<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
-
Project a point to the hyperplane.
- project(Point<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
-
Project a point to the hyperplane.
- project(Point<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
-
Project a point to the hyperplane.
- projected - Variable in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor.BoundaryProjector
-
Projection of the polyhedrons set on the plane.
- projected - Variable in class org.apache.commons.math3.geometry.partitioning.BoundaryProjection
-
Projected point.
- projected - Variable in class org.apache.commons.math3.geometry.partitioning.BoundaryProjector
-
Current best projected point.
- projection(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Find the orthogonal projection of this vector onto another vector.
- projection(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Find the orthogonal projection of this vector onto another vector.
- projection(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Find the orthogonal projection of this vector onto another vector.
- projection(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Find the orthogonal projection of this vector onto another vector.
- projection(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
-
Find the orthogonal projection of this vector onto another vector.
- projectToBoundary(Point<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
Project a point on the boundary of the region.
- projectToBoundary(Point<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
-
Project a point on the boundary of the region.
- projectToBoundary(Point<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Project a point on the boundary of the region.
- projectToBoundary(Point<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
-
Project a point on the boundary of the region.
- PROPAGATION_DIRECTION_MISMATCH - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- ProperBigFractionFormat - Class in org.apache.commons.math3.fraction
-
Formats a BigFraction number in proper format.
- ProperBigFractionFormat() - Constructor for class org.apache.commons.math3.fraction.ProperBigFractionFormat
-
Create a proper formatting instance with the default number format for the whole, numerator, and denominator.
- ProperBigFractionFormat(NumberFormat) - Constructor for class org.apache.commons.math3.fraction.ProperBigFractionFormat
-
Create a proper formatting instance with a custom number format for the whole, numerator, and denominator.
- ProperBigFractionFormat(NumberFormat, NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.fraction.ProperBigFractionFormat
-
Create a proper formatting instance with a custom number format for each of the whole, numerator, and denominator.
- ProperFractionFormat - Class in org.apache.commons.math3.fraction
-
Formats a Fraction number in proper format.
- ProperFractionFormat() - Constructor for class org.apache.commons.math3.fraction.ProperFractionFormat
-
Create a proper formatting instance with the default number format for the whole, numerator, and denominator.
- ProperFractionFormat(NumberFormat) - Constructor for class org.apache.commons.math3.fraction.ProperFractionFormat
-
Create a proper formatting instance with a custom number format for the whole, numerator, and denominator.
- ProperFractionFormat(NumberFormat, NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.fraction.ProperFractionFormat
-
Create a proper formatting instance with a custom number format for each of the whole, numerator, and denominator.
- PropertiesComputer - Class in org.apache.commons.math3.geometry.spherical.twod
-
Visitor computing geometrical properties.
- PropertiesComputer(double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.PropertiesComputer
-
Simple constructor.
- prototype - Variable in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Prototype of the step interpolator.
- prototype - Variable in class org.apache.commons.math3.ode.nonstiff.RungeKuttaIntegrator
-
Prototype of the step interpolator.
- providesResidual() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
-
Returns
true
ifIterativeLinearSolverEvent.getResidual()
is supported. - providesResidual() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
-
Returns
true
ifIterativeLinearSolverEvent.getResidual()
is supported. - pruneAroundConvexCell(Object, Object, Object) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Prune a tree around a cell.
- ps - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Evolution path for sigma.
- ps - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Evolution path for sigma.
- pseudoInverse - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition.Solver
-
Pseudo-inverse of the initial matrix.
- PSQUARE_CONSTANT - Static variable in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
-
The maximum array size used for psquare algorithm
- PSquarePercentile - Class in org.apache.commons.math3.stat.descriptive.rank
-
A
StorelessUnivariateStatistic
estimating percentiles using the invalid input: '<'ahref=http://www.cs.wustl.edu/~jain/papers/ftp/psqr.pdf>P2 Algorithm as explained by Raj Jain and Imrich Chlamtac in P2 Algorithm for Dynamic Calculation of Quantiles and Histogram Without Storing Observations. - PSquarePercentile() - Constructor for class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
-
Default constructor that assumes a
default quantile
needed - PSquarePercentile(double) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
-
Constructs a PSquarePercentile with the specific percentile value.
- PSquarePercentile.FixedCapacityList<E> - Class in org.apache.commons.math3.stat.descriptive.rank
-
A simple fixed capacity list that has an upper bound to growth.
- PSquarePercentile.Marker - Class in org.apache.commons.math3.stat.descriptive.rank
-
The class modeling the attributes of the marker of the P-square algorithm
- PSquarePercentile.Markers - Class in org.apache.commons.math3.stat.descriptive.rank
-
Markers is an encapsulation of the five markers/buckets as indicated in the original works.
- PSquarePercentile.PSquareMarkers - Interface in org.apache.commons.math3.stat.descriptive.rank
-
An interface that encapsulates abstractions of the P-square algorithm markers as is explained in the original works.
- push(double[], double) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Pushes the current best fitness value in a history queue.
- push(double[], double) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Pushes the current best fitness value in a history queue.
- put(int, double) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Put a value associated with a key in the map.
- put(int, T) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Put a value associated with a key in the map.
- putTransformer(Class<?>, NumberTransformer) - Method in class org.apache.commons.math3.util.TransformerMap
-
Sets a Class to Transformer Mapping in the Map.
- pValue - Variable in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
-
Computed p value (i,e percentile value of data set hither to received)
Q
- q - Variable in class org.apache.commons.math3.analysis.function.Logistic
-
Parameter that affects the position of the curve along the ordinate axis.
- Q - Static variable in class org.apache.commons.math3.ode.nonstiff.LutherIntegrator
-
Square root.
- Q - Static variable in class org.apache.commons.math3.ode.nonstiff.LutherStepInterpolator
-
Square root.
- q0 - Variable in class org.apache.commons.math3.complex.Quaternion
-
First component (scalar part).
- q0 - Variable in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Scalar coordinate of the quaternion.
- q0 - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Scalar coordinate of the quaternion.
- q1 - Variable in class org.apache.commons.math3.complex.Quaternion
-
Second component (first vector part).
- q1 - Variable in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
First coordinate of the vectorial part of the quaternion.
- q1 - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
First coordinate of the vectorial part of the quaternion.
- q2 - Variable in class org.apache.commons.math3.complex.Quaternion
-
Third component (second vector part).
- q2 - Variable in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Second coordinate of the vectorial part of the quaternion.
- q2 - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Second coordinate of the vectorial part of the quaternion.
- q3 - Variable in class org.apache.commons.math3.complex.Quaternion
-
Fourth component (third vector part).
- q3 - Variable in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Third coordinate of the vectorial part of the quaternion.
- q3 - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Third coordinate of the vectorial part of the quaternion.
- QNAN - Static variable in class org.apache.commons.math3.dfp.Dfp
-
Indicator value for quiet NaN.
- qr - Variable in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
-
Cached QR decomposition of X matrix
- QR - Enum constant in enum org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer.Decomposition
-
Solve the linear least squares problem (Jx=r) using the
QRDecomposition
. - qrDecomposition(RealMatrix) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Deprecated.Decompose a matrix A as A.P = Q.R using Householder transforms.
- qrDecomposition(RealMatrix) - Method in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.Decompose a matrix A as A.P = Q.R using Householder transforms.
- qrDecomposition(RealMatrix, int) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
-
Decompose a matrix A as A.P = Q.R using Householder transforms.
- QRDecomposition - Class in org.apache.commons.math3.linear
-
Calculates the QR-decomposition of a matrix.
- QRDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.QRDecomposition
-
Calculates the QR-decomposition of the given matrix.
- QRDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math3.linear.QRDecomposition
-
Calculates the QR-decomposition of the given matrix.
- QRDecomposition.Solver - Class in org.apache.commons.math3.linear
-
Specialized solver.
- qrRankingThreshold - Variable in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
-
Threshold for QR ranking.
- qrRankingThreshold - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Deprecated.Threshold for QR ranking.
- qrRankingThreshold - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.Threshold for QR ranking.
- qrt - Variable in class org.apache.commons.math3.linear.QRDecomposition
-
A packed TRANSPOSED representation of the QR decomposition.
- qrt - Variable in class org.apache.commons.math3.linear.QRDecomposition.Solver
-
A packed TRANSPOSED representation of the QR decomposition.
- qTy(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Deprecated.Compute the product Qt.y for some Q.R.
- qTy(double[]) - Method in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.Compute the product Qt.y for some Q.R.
- qTy(double[], LevenbergMarquardtOptimizer.InternalData) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
-
Compute the product Qt.y for some Q.R.
- quadMult(double[], double[], double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
-
Compute (a[0] + a[1]) * (b[0] + b[1]) in extended precision.
- quantile - Variable in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Determines what percentile is computed when evaluate() is activated with no quantile argument
- quantile - Variable in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
-
The quantile needed should be in range of 0-1.
- quantile() - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
-
Returns the quantile estimated by this statistic in the range [0.0-1.0]
- QuantizationError - Class in org.apache.commons.math3.ml.neuralnet.twod.util
-
Computes the quantization error histogram.
- QuantizationError(DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.neuralnet.twod.util.QuantizationError
- quasiSigmoidDecay(double, double, long) - Static method in class org.apache.commons.math3.ml.neuralnet.sofm.LearningFactorFunctionFactory
-
Creates an sigmoid-like
LearningFactorFunction function
. - quasiSigmoidDecay(double, double, long) - Static method in class org.apache.commons.math3.ml.neuralnet.sofm.NeighbourhoodSizeFunctionFactory
-
Creates an sigmoid-like
NeighbourhoodSizeFunction function
. - QuasiSigmoidDecayFunction - Class in org.apache.commons.math3.ml.neuralnet.sofm.util
-
Decay function whose shape is similar to a sigmoid.
- QuasiSigmoidDecayFunction(double, double, long) - Constructor for class org.apache.commons.math3.ml.neuralnet.sofm.util.QuasiSigmoidDecayFunction
-
Creates an instance.
- Quaternion - Class in org.apache.commons.math3.complex
-
This class implements quaternions (Hamilton's hypercomplex numbers).
- Quaternion(double[]) - Constructor for class org.apache.commons.math3.complex.Quaternion
-
Builds a pure quaternion from a vector (assuming that the scalar part is zero).
- Quaternion(double, double[]) - Constructor for class org.apache.commons.math3.complex.Quaternion
-
Builds a quaternion from scalar and vector parts.
- Quaternion(double, double, double, double) - Constructor for class org.apache.commons.math3.complex.Quaternion
-
Builds a quaternion from its components.
R
- r - Variable in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
-
Radius.
- r - Variable in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
-
The current estimate of the residual.
- r - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
the off diagonal portion of the R matrix
- R_1 - Enum constant in enum org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType
-
The method R_1 has the following formulae for index and estimates
\( \begin{align} &index= Np + 1/2\, \\ &estimate= x_{\lceil h\,-\,1/2 \rceil} \\ &minLimit = 0 \\ \end{align}\) - R_2 - Enum constant in enum org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType
-
The method R_2 has the following formulae for index and estimates
\( \begin{align} &index= Np + 1/2\, \\ &estimate=\frac{x_{\lceil h\,-\,1/2 \rceil} + x_{\lfloor h\,+\,1/2 \rfloor}}{2} \\ &minLimit = 0 \\ &maxLimit = 1 \\ \end{align}\) - R_3 - Enum constant in enum org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType
-
The method R_3 has the following formulae for index and estimates
\( \begin{align} &index= Np \\ &estimate= x_{\lfloor h \rceil}\, \\ &minLimit = 0.5/N \\ \end{align}\) - R_4 - Enum constant in enum org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType
-
The method R_4 has the following formulae for index and estimates
\( \begin{align} &index= Np\, \\ &estimate= x_{\lfloor h \rfloor} + (h - \lfloor h \rfloor) (x_{\lfloor h \rfloor + 1} - x_{\lfloor h \rfloor}) \\ &minLimit = 1/N \\ &maxLimit = 1 \\ \end{align}\) - R_5 - Enum constant in enum org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType
-
The method R_5 has the following formulae for index and estimates
\( \begin{align} &index= Np + 1/2\\ &estimate= x_{\lfloor h \rfloor} + (h - \lfloor h \rfloor) (x_{\lfloor h \rfloor + 1} - x_{\lfloor h \rfloor}) \\ &minLimit = 0.5/N \\ &maxLimit = (N-0.5)/N \end{align}\) - R_6 - Enum constant in enum org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType
-
The method R_6 has the following formulae for index and estimates
\( \begin{align} &index= (N + 1)p \\ &estimate= x_{\lfloor h \rfloor} + (h - \lfloor h \rfloor) (x_{\lfloor h \rfloor + 1} - x_{\lfloor h \rfloor}) \\ &minLimit = 1/(N+1) \\ &maxLimit = N/(N+1) \\ \end{align}\) - R_7 - Enum constant in enum org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType
-
The method R_7 implements Microsoft Excel style computation has the following formulae for index and estimates.
\( \begin{align} &index = (N-1)p + 1 \\ &estimate = x_{\lfloor h \rfloor} + (h - \lfloor h \rfloor) (x_{\lfloor h \rfloor + 1} - x_{\lfloor h \rfloor}) \\ &minLimit = 0 \\ &maxLimit = 1 \\ \end{align}\) - R_8 - Enum constant in enum org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType
-
The method R_8 has the following formulae for index and estimates
\( \begin{align} &index = (N + 1/3)p + 1/3 \\ &estimate = x_{\lfloor h \rfloor} + (h - \lfloor h \rfloor) (x_{\lfloor h \rfloor + 1} - x_{\lfloor h \rfloor}) \\ &minLimit = (2/3)/(N+1/3) \\ &maxLimit = (N-1/3)/(N+1/3) \\ \end{align}\) - R_9 - Enum constant in enum org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType
-
The method R_9 has the following formulae for index and estimates
\( \begin{align} &index = (N + 1/4)p + 3/8\\ &estimate = x_{\lfloor h \rfloor} + (h - \lfloor h \rfloor) (x_{\lfloor h \rfloor + 1} - x_{\lfloor h \rfloor}) \\ &minLimit = (5/8)/(N+1/4) \\ &maxLimit = (N-3/8)/(N+1/4) \\ \end{align}\) - r1 - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The value of beta[k] * M^(-1) * P' * v[k].
- r2 - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The value of beta[k+1] * M^(-1) * P' * v[k+1].
- radius - Variable in class org.apache.commons.math3.geometry.enclosing.EnclosingBall
-
Radius of the ball.
- RADIX - Static variable in class org.apache.commons.math3.dfp.Dfp
-
The radix, or base of this system.
- radixDigits - Variable in class org.apache.commons.math3.dfp.DfpField
-
The number of radix digits.
- rand - Variable in class org.apache.commons.math3.random.RandomDataGenerator
-
underlying random number generator
- rand - Variable in class org.apache.commons.math3.random.UnitSphereRandomVectorGenerator
-
RNG used for generating the individual components of the vectors.
- randn(int) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
- randn(int) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- randn1(int, int) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
- randn1(int, int) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- random - Variable in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
-
RNG instance used to generate samples from the distribution.
- random - Variable in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
-
RNG instance used to generate samples from the distribution.
- random - Variable in class org.apache.commons.math3.distribution.AbstractRealDistribution
-
RNG instance used to generate samples from the distribution.
- random - Variable in class org.apache.commons.math3.distribution.EnumeratedDistribution
-
RNG instance used to generate samples from the distribution.
- random - Variable in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
-
Random generator for choosing initial centers.
- random - Variable in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
-
Random generator for choosing initial centers.
- random - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Random generator.
- random - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Random generator.
- random - Variable in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
-
Deprecated.Random generator for choosing initial centers.
- random - Variable in class org.apache.commons.math3.util.RandomPivotingStrategy
-
Random generator to use for selecting pivot.
- random() - Static method in class org.apache.commons.math3.util.FastMath
-
Returns a pseudo-random number between 0.0 and 1.0.
- RANDOM - Enum constant in enum org.apache.commons.math3.stat.ranking.TiesStrategy
-
Ties get a random integral value from among applicable ranks
- RandomAdaptor - Class in org.apache.commons.math3.random
-
Extension of
java.util.Random
wrapping aRandomGenerator
. - RandomAdaptor() - Constructor for class org.apache.commons.math3.random.RandomAdaptor
-
Prevent instantiation without a generator argument
- RandomAdaptor(RandomGenerator) - Constructor for class org.apache.commons.math3.random.RandomAdaptor
-
Construct a RandomAdaptor wrapping the supplied RandomGenerator.
- randomBinaryRepresentation(int) - Static method in class org.apache.commons.math3.genetics.BinaryChromosome
-
Returns a representation of a random binary array of length
length
. - randomData - Variable in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
-
Deprecated.As of 3.1, to be removed in 4.0. Please use the
AbstractIntegerDistribution.random
instance variable instead. - randomData - Variable in class org.apache.commons.math3.distribution.AbstractRealDistribution
-
Deprecated.As of 3.1, to be removed in 4.0. Please use the
AbstractRealDistribution.random
instance variable instead. - randomData - Variable in class org.apache.commons.math3.random.EmpiricalDistribution
-
RandomDataGenerator instance to use in repeated calls to getNext()
- randomData - Variable in class org.apache.commons.math3.random.ValueServer
-
RandomDataImpl to use for random data generation.
- randomData - Variable in class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Source of random data - used only when ties strategy is RANDOM
- RandomData - Interface in org.apache.commons.math3.random
-
Deprecated.to be removed in 4.0. Use
RandomDataGenerator
directly - RandomDataGenerator - Class in org.apache.commons.math3.random
-
Implements the
RandomData
interface using aRandomGenerator
instance to generate non-secure data and aSecureRandom
instance to provide data for thenextSecureXxx
methods. - RandomDataGenerator() - Constructor for class org.apache.commons.math3.random.RandomDataGenerator
-
Construct a RandomDataGenerator, using a default random generator as the source of randomness.
- RandomDataGenerator(RandomGenerator) - Constructor for class org.apache.commons.math3.random.RandomDataGenerator
-
Construct a RandomDataGenerator using the supplied
RandomGenerator
as the source of (non-secure) random data. - RandomDataImpl - Class in org.apache.commons.math3.random
-
Deprecated.to be removed in 4.0. Use
RandomDataGenerator
instead - RandomDataImpl() - Constructor for class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.Construct a RandomDataImpl, using a default random generator as the source of randomness.
- RandomDataImpl(RandomGenerator) - Constructor for class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.Construct a RandomDataImpl using the supplied
RandomGenerator
as the source of (non-secure) random data. - randomGenerator - Static variable in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
Static random number generator shared by GA implementation classes.
- randomGenerator - Variable in class org.apache.commons.math3.random.RandomAdaptor
-
Wrapped randomGenerator instance
- RandomGenerator - Interface in org.apache.commons.math3.random
-
Interface extracted from
java.util.Random
. - RandomGeneratorFactory - Class in org.apache.commons.math3.random
-
Utilities for creating
RandomGenerator
instances. - RandomGeneratorFactory() - Constructor for class org.apache.commons.math3.random.RandomGeneratorFactory
-
Class contains only static methods.
- randomize(RealDistribution, FeatureInitializer) - Static method in class org.apache.commons.math3.ml.neuralnet.FeatureInitializerFactory
-
Adds some amount of random data to the given initializer.
- RandomKey<T> - Class in org.apache.commons.math3.genetics
-
Random Key chromosome is used for permutation representation.
- RandomKey(Double[]) - Constructor for class org.apache.commons.math3.genetics.RandomKey
-
Constructor.
- RandomKey(List<Double>) - Constructor for class org.apache.commons.math3.genetics.RandomKey
-
Constructor.
- RANDOMKEY_MUTATION_WRONG_CLASS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- RandomKeyMutation - Class in org.apache.commons.math3.genetics
-
Mutation operator for
RandomKey
s. - RandomKeyMutation() - Constructor for class org.apache.commons.math3.genetics.RandomKeyMutation
- randomPermutation(int) - Static method in class org.apache.commons.math3.genetics.RandomKey
-
Generates a representation corresponding to a random permutation of length l which can be passed to the RandomKey constructor.
- RandomPivotingStrategy - Class in org.apache.commons.math3.util
-
A strategy of selecting random index between begin and end indices.
- RandomPivotingStrategy(RandomGenerator) - Constructor for class org.apache.commons.math3.util.RandomPivotingStrategy
-
Simple constructor.
- randomStart - Variable in class org.apache.commons.math3.genetics.CycleCrossover
-
If the start index shall be chosen randomly.
- RandomVectorGenerator - Interface in org.apache.commons.math3.random
-
This interface represents a random generator for whole vectors.
- range(int, int) - Static method in class org.apache.commons.math3.util.IntegerSequence
-
Creates a sequence
[start .. end]
. - range(int, int, int) - Static method in class org.apache.commons.math3.util.IntegerSequence
-
Creates a sequence \( a_i, i invalid input: '<' 0 invalid input: '<'= n \) where \( a_i = start + i * step \) and \( n \) is such that \( a_n invalid input: '<'= max \) and \( a_{n+1} > max \).
- Range(int, int, int) - Constructor for class org.apache.commons.math3.util.IntegerSequence.Range
-
Creates a sequence \( a_i, i invalid input: '<' 0 invalid input: '<'= n \) where \( a_i = start + i * step \) and \( n \) is such that \( a_n invalid input: '<'= max \) and \( a_{n+1} > max \).
- rank - Variable in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer.InternalData
-
Rank of the Jacobian matrix.
- rank - Variable in class org.apache.commons.math3.linear.RectangularCholeskyDecomposition
-
Rank of the symmetric positive semidefinite matrix.
- rank - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Deprecated.Rank of the jacobian matrix.
- rank - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.Rank of the jacobian matrix.
- rank - Variable in class org.apache.commons.math3.stat.regression.RegressionResults
-
rank of the solution
- rank(double[]) - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Rank
data
using the natural ordering on Doubles, with NaN values handled according tonanStrategy
and ties resolved usingtiesStrategy.
- rank(double[]) - Method in interface org.apache.commons.math3.stat.ranking.RankingAlgorithm
-
Performs a rank transformation on the input data, returning an array of ranks.
- rankCorrelation - Variable in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
-
Rank correlation
- rankingAlgorithm - Variable in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
-
Ranking algorithm
- RankingAlgorithm - Interface in org.apache.commons.math3.stat.ranking
-
Interface representing a rank transformation.
- rankTransform(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
-
Applies rank transform to each of the columns of
matrix
using the currentrankingAlgorithm
. - ratio - Variable in class org.apache.commons.math3.genetics.UniformCrossover
-
The mixing ratio.
- rawHandler - Variable in class org.apache.commons.math3.ode.events.EventFilter
-
Wrapped event handler.
- rDiag - Variable in class org.apache.commons.math3.linear.QRDecomposition
-
The diagonal elements of R.
- rDiag - Variable in class org.apache.commons.math3.linear.QRDecomposition.Solver
-
The diagonal elements of R.
- readBaseExternal(ObjectInput) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Read the base state of the instance.
- readExternal(ObjectInput) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
- readExternal(ObjectInput) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
- readExternal(ObjectInput) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaStepInterpolator
- readExternal(ObjectInput) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
- readExternal(ObjectInput) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
- readObject(ObjectInputStream) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
-
Deserialize this object from the given stream.
- readObject(ObjectInputStream) - Method in class org.apache.commons.math3.ml.neuralnet.Network
-
Prevents proxy bypass.
- readObject(ObjectInputStream) - Method in class org.apache.commons.math3.ml.neuralnet.Neuron
-
Prevents proxy bypass.
- readObject(ObjectInputStream) - Method in class org.apache.commons.math3.ml.neuralnet.oned.NeuronString
-
Prevents proxy bypass.
- readObject(ObjectInputStream) - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
-
Prevents proxy bypass.
- readObject(ObjectInputStream) - Method in class org.apache.commons.math3.optim.linear.LinearConstraint
-
Deserialize the instance.
- readObject(ObjectInputStream) - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
-
Deserialize the instance.
- readObject(ObjectInputStream) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Deserialize the instance.
- readObject(ObjectInputStream) - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
-
Deprecated.Deserialize the instance.
- readObject(ObjectInputStream) - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
-
Deprecated.Deserialize the instance.
- readObject(ObjectInputStream) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Deserialize the instance.
- readObject(ObjectInputStream) - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Marker
-
Read Object to deserialize.
- readObject(ObjectInputStream) - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Markers
-
Sets previous and next markers after default read is done.
- readObject(ObjectInputStream) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Read a serialized object.
- readObject(ObjectInputStream) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Read a serialized object.
- readResolve() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure.DataTransferObject
-
Replace the deserialized data transfer object with a
DerivativeStructure
. - readResolve() - Method in class org.apache.commons.math3.complex.Complex
-
Resolve the transient fields in a deserialized Complex Object.
- readResolve() - Method in class org.apache.commons.math3.complex.ComplexField
-
Handle deserialization of the singleton.
- readResolve() - Method in class org.apache.commons.math3.fraction.BigFractionField
-
Handle deserialization of the singleton.
- readResolve() - Method in class org.apache.commons.math3.fraction.FractionField
-
Handle deserialization of the singleton.
- readResolve() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D
-
Handle deserialization of the singleton.
- readResolve() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D
-
Handle deserialization of the singleton.
- readResolve() - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates.DataTransferObject
-
Replace the deserialized data transfer object with a
SphericalCoordinates
. - readResolve() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D
-
Handle deserialization of the singleton.
- readResolve() - Method in class org.apache.commons.math3.geometry.spherical.oned.Sphere1D
-
Handle deserialization of the singleton.
- readResolve() - Method in class org.apache.commons.math3.geometry.spherical.twod.Sphere2D
-
Handle deserialization of the singleton.
- readResolve() - Method in class org.apache.commons.math3.ml.neuralnet.Network.SerializationProxy
-
Custom serialization.
- readResolve() - Method in class org.apache.commons.math3.ml.neuralnet.Neuron.SerializationProxy
-
Custom serialization.
- readResolve() - Method in class org.apache.commons.math3.ml.neuralnet.oned.NeuronString.SerializationProxy
-
Custom serialization.
- readResolve() - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D.SerializationProxy
-
Custom serialization.
- readResolve() - Method in class org.apache.commons.math3.ode.sampling.DummyStepHandler
-
Handle deserialization of the singleton.
- readResolve() - Method in class org.apache.commons.math3.optim.PointValuePair.DataTransferObject
-
Replace the deserialized data transfer object with a
PointValuePair
. - readResolve() - Method in class org.apache.commons.math3.optim.PointVectorValuePair.DataTransferObject
-
Replace the deserialized data transfer object with a
PointValuePair
. - readResolve() - Method in class org.apache.commons.math3.optimization.PointValuePair.DataTransferObject
-
Deprecated.Replace the deserialized data transfer object with a
PointValuePair
. - readResolve() - Method in class org.apache.commons.math3.optimization.PointVectorValuePair.DataTransferObject
-
Deprecated.Replace the deserialized data transfer object with a
PointValuePair
. - readResolve() - Method in class org.apache.commons.math3.util.BigRealField
-
Handle deserialization of the singleton.
- real - Variable in class org.apache.commons.math3.complex.Complex
-
The real part.
- REAL_FORMAT - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- RealDistribution - Interface in org.apache.commons.math3.distribution
-
Base interface for distributions on the reals.
- realEigenvalues - Variable in class org.apache.commons.math3.linear.EigenDecomposition
-
Real part of the realEigenvalues.
- realEigenvalues - Variable in class org.apache.commons.math3.linear.EigenDecomposition.Solver
-
Real part of the realEigenvalues.
- RealFieldElement<T> - Interface in org.apache.commons.math3
- RealFieldUnivariateFunction<T> - Interface in org.apache.commons.math3.analysis
-
An interface representing a univariate real function.
- realFormat - Variable in class org.apache.commons.math3.complex.ComplexFormat
-
The format used for the real part.
- RealLinearOperator - Class in org.apache.commons.math3.linear
-
This class defines a linear operator operating on real (
double
) vector spaces. - RealLinearOperator() - Constructor for class org.apache.commons.math3.linear.RealLinearOperator
- RealMatrix - Interface in org.apache.commons.math3.linear
-
Interface defining a real-valued matrix with basic algebraic operations.
- RealMatrixChangingVisitor - Interface in org.apache.commons.math3.linear
-
Interface defining a visitor for matrix entries.
- RealMatrixFormat - Class in org.apache.commons.math3.linear
-
Formats a
nxm
matrix in components list format "{{a00,a01, ..., a0m-1},{a10, a11, ..., a1m-1},{...},{ an-10, an-11, ..., an-1m-1}}". - RealMatrixFormat() - Constructor for class org.apache.commons.math3.linear.RealMatrixFormat
-
Create an instance with default settings.
- RealMatrixFormat(String, String, String, String, String, String) - Constructor for class org.apache.commons.math3.linear.RealMatrixFormat
-
Create an instance with custom prefix, suffix and separator.
- RealMatrixFormat(String, String, String, String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.linear.RealMatrixFormat
-
Create an instance with custom prefix, suffix, separator and format for components.
- RealMatrixFormat(NumberFormat) - Constructor for class org.apache.commons.math3.linear.RealMatrixFormat
-
Create an instance with a custom number format for components.
- RealMatrixPreservingVisitor - Interface in org.apache.commons.math3.linear
-
Interface defining a visitor for matrix entries.
- RealTransformer - Interface in org.apache.commons.math3.transform
-
Interface for one-dimensional data sets transformations producing real results.
- RealVector - Class in org.apache.commons.math3.linear
-
Class defining a real-valued vector with basic algebraic operations.
- RealVector() - Constructor for class org.apache.commons.math3.linear.RealVector
- RealVector.Entry - Class in org.apache.commons.math3.linear
-
An entry in the vector.
- RealVector.SparseEntryIterator - Class in org.apache.commons.math3.linear
-
This class should rarely be used, but is here to provide a default implementation of sparseIterator(), which is implemented by walking over the entries, skipping those that are zero.
- RealVectorChangingVisitor - Interface in org.apache.commons.math3.linear
-
This interface defines a visitor for the entries of a vector.
- RealVectorFormat - Class in org.apache.commons.math3.linear
-
Formats a vector in components list format "{v0; v1; ...; vk-1}".
- RealVectorFormat() - Constructor for class org.apache.commons.math3.linear.RealVectorFormat
-
Create an instance with default settings.
- RealVectorFormat(String, String, String) - Constructor for class org.apache.commons.math3.linear.RealVectorFormat
-
Create an instance with custom prefix, suffix and separator.
- RealVectorFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.linear.RealVectorFormat
-
Create an instance with custom prefix, suffix, separator and format for components.
- RealVectorFormat(NumberFormat) - Constructor for class org.apache.commons.math3.linear.RealVectorFormat
-
Create an instance with a custom number format for components.
- RealVectorPreservingVisitor - Interface in org.apache.commons.math3.linear
-
This interface defines a visitor for the entries of a vector.
- rebalanceLeftGrown() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Deprecated.Re-balance the instance as left sub-tree has grown.
- rebalanceLeftShrunk() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Deprecated.Re-balance the instance as left sub-tree has shrunk.
- rebalanceRightGrown() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Deprecated.Re-balance the instance as right sub-tree has grown.
- rebalanceRightShrunk() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Deprecated.Re-balance the instance as right sub-tree has shrunk.
- RECIP_2PI - Static variable in class org.apache.commons.math3.util.FastMath
-
Bits of 1/(2*pi), need for reducePayneHanek().
- reciprocal() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Returns the multiplicative inverse of
this
element. - reciprocal() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Returns the multiplicative inverse of
this
element. - reciprocal() - Method in class org.apache.commons.math3.complex.Complex
-
Returns the multiplicative inverse of
this
element. - reciprocal() - Method in class org.apache.commons.math3.dfp.Dfp
-
Returns the multiplicative inverse of
this
element. - reciprocal() - Method in interface org.apache.commons.math3.FieldElement
-
Returns the multiplicative inverse of
this
element. - reciprocal() - Method in class org.apache.commons.math3.fraction.BigFraction
-
Return the multiplicative inverse of this fraction.
- reciprocal() - Method in class org.apache.commons.math3.fraction.Fraction
-
Return the multiplicative inverse of this fraction.
- reciprocal() - Method in interface org.apache.commons.math3.RealFieldElement
-
Returns the multiplicative inverse of
this
element. - reciprocal() - Method in class org.apache.commons.math3.util.BigReal
-
Returns the multiplicative inverse of
this
element. - reciprocal() - Method in class org.apache.commons.math3.util.Decimal64
-
Returns the multiplicative inverse of
this
element. - reciprocal() - Method in class org.apache.commons.math3.util.FastMath.Split
-
Compute the reciprocal of the instance.
- recodeNaNs(NaturalRanking.IntDoublePair[], double) - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Recodes NaN values to the given value.
- RECOMPUTE_TABLES_AT_RUNTIME - Static variable in class org.apache.commons.math3.util.FastMath
-
Indicator for tables initialization.
- recomputeZ() - Method in class org.apache.commons.math3.distribution.BetaDistribution
-
Recompute the normalization factor.
- RectangularCholeskyDecomposition - Class in org.apache.commons.math3.linear
-
Calculates the rectangular Cholesky decomposition of a matrix.
- RectangularCholeskyDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.RectangularCholeskyDecomposition
-
Decompose a symmetric positive semidefinite matrix.
- RectangularCholeskyDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math3.linear.RectangularCholeskyDecomposition
-
Decompose a symmetric positive semidefinite matrix.
- recurseCloseCuts(Point<S>, double, List<BSPTree<S>>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Get the cells whose cut sub-hyperplanes are close to the point.
- recurseComplement(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
-
Recursively build the complement of a BSP tree.
- recurseComplement(BSPTree<S>, Map<BSPTree<S>, BSPTree<S>>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
-
Recursively build the complement of a BSP tree.
- recurseFirstIntersection(BSPTree<Euclidean3D>, Vector3D, Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
-
Get the first sub-hyperplane crossed by a semi-infinite line.
- recurseIntersection(BSPTree<S>, SubHyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Recursively compute the parts of a sub-hyperplane that are contained in the region.
- recurseSides(BSPTree<S>, SubHyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.InsideFinder
-
Search recursively for inside leaf nodes on each side of the given hyperplane.
- recurseTransform(BSPTree<S>, Transform<S, T>, Map<BSPTree<S>, BSPTree<S>>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Recursively transform an inside/outside BSP-tree.
- recurseTransform(BSPTree<T>, Hyperplane<S>, Transform<S, T>, Map<BSPTree<T>, BSPTree<T>>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
-
Recursively transform a BSP-tree from a sub-hyperplane.
- reduce() - Method in class org.apache.commons.math3.fraction.BigFraction
-
Reduce this
BigFraction
to its lowest terms. - reduce(double, double, double) - Static method in class org.apache.commons.math3.util.MathUtils
-
Reduce
|a - offset|
to the primary interval[0, |period|)
. - reducePayneHanek(double, double[]) - Static method in class org.apache.commons.math3.util.FastMath
-
Reduce the input argument using the Payne and Hanek method.
- reducePoints(Collection<Vector2D>) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.hull.AklToussaintHeuristic
-
Returns a point set that is reduced by all points for which it is safe to assume that they are not part of the convex hull.
- REDUCTION_FACTOR - Static variable in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
-
Reduction factor for attempts to balance the bracketing interval.
- reference - Variable in class org.apache.commons.math3.ode.nonstiff.AdamsFieldStepInterpolator
-
Reference state.
- referenceCount - Variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator
-
Reference modification count.
- referenceCount - Variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator
-
Reference modification count.
- References - Search tag in class org.apache.commons.math3.linear.ConjugateGradient
- Section
- References - Search tag in class org.apache.commons.math3.linear.SymmLQ
- Section
- referenceTime - Variable in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
-
Reference time for all arrays.
- refineSolution(RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ.State
-
Move to the CG point if it seems better.
- regcf(int) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
The regcf method conducts the linear regression and extracts the parameter vector.
- region - Variable in class org.apache.commons.math3.geometry.partitioning.InsideFinder
-
Region on which to operate.
- Region<S> - Interface in org.apache.commons.math3.geometry.partitioning
-
This interface represents a region of a space as a partition.
- Region.Location - Enum in org.apache.commons.math3.geometry.partitioning
-
Enumerate for the location of a point with respect to the region.
- region1 - Variable in class org.apache.commons.math3.geometry.partitioning.RegionFactory.DifferenceMerger
-
Region to subtract from.
- region2 - Variable in class org.apache.commons.math3.geometry.partitioning.RegionFactory.DifferenceMerger
-
Region to subtract.
- RegionFactory<S> - Class in org.apache.commons.math3.geometry.partitioning
-
This class is a factory for
Region
. - RegionFactory() - Constructor for class org.apache.commons.math3.geometry.partitioning.RegionFactory
-
Simple constructor.
- RegionFactory.DifferenceMerger - Class in org.apache.commons.math3.geometry.partitioning
-
BSP tree leaf merger computing difference of two regions.
- RegionFactory.IntersectionMerger - Class in org.apache.commons.math3.geometry.partitioning
-
BSP tree leaf merger computing intersection of two regions.
- RegionFactory.NodesCleaner - Class in org.apache.commons.math3.geometry.partitioning
-
Visitor removing internal nodes attributes.
- RegionFactory.UnionMerger - Class in org.apache.commons.math3.geometry.partitioning
-
BSP tree leaf merger computing union of two regions.
- RegionFactory.VanishingToLeaf - Class in org.apache.commons.math3.geometry.partitioning
-
Handler replacing nodes with vanishing cuts with leaf nodes.
- RegionFactory.XorMerger - Class in org.apache.commons.math3.geometry.partitioning
-
BSP tree leaf merger computing symmetric difference (exclusive or) of two regions.
- registerVariationalEquations(ExpandableStatefulODE) - Method in class org.apache.commons.math3.ode.JacobianMatrices
-
Register the variational equations for the Jacobians matrices to the expandable set.
- regress() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
Conducts a regression on the data in the model, using all regressors.
- regress() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Performs a regression on data present in buffers and outputs a RegressionResults object.
- regress() - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
-
Performs a regression on data present in buffers and outputs a RegressionResults object
- regress(int) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
Conducts a regression on the data in the model, using a subset of regressors.
- regress(int[]) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
Conducts a regression on the data in the model, using regressors in array Calling this method will change the internal order of the regressors and care is required in interpreting the hatmatrix.
- regress(int[]) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Performs a regression on data present in buffers including only regressors indexed in variablesToInclude and outputs a RegressionResults object
- regress(int[]) - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
-
Performs a regression on data present in buffers including only regressors indexed in variablesToInclude and outputs a RegressionResults object
- RegressionResults - Class in org.apache.commons.math3.stat.regression
-
Results of a Multiple Linear Regression model fit.
- RegressionResults() - Constructor for class org.apache.commons.math3.stat.regression.RegressionResults
-
Set the default constructor to private access to prevent inadvertent instantiation
- RegressionResults(double[], double[][], boolean, long, int, double, double, double, boolean, boolean) - Constructor for class org.apache.commons.math3.stat.regression.RegressionResults
-
Constructor for Regression Results.
- REGULA_FALSI - Enum constant in enum org.apache.commons.math3.analysis.solvers.BaseSecantSolver.Method
-
The
Regula Falsi
or False Position method. - RegulaFalsiSolver - Class in org.apache.commons.math3.analysis.solvers
-
Implements the Regula Falsi or False position method for root-finding (approximating a zero of a univariate real function).
- RegulaFalsiSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.RegulaFalsiSolver
-
Construct a solver with default accuracy (1e-6).
- RegulaFalsiSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.RegulaFalsiSolver
-
Construct a solver.
- RegulaFalsiSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.RegulaFalsiSolver
-
Construct a solver.
- RegulaFalsiSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.RegulaFalsiSolver
-
Construct a solver.
- regularizedBeta(double, double, double) - Static method in class org.apache.commons.math3.special.Beta
-
Returns the regularized beta function I(x, a, b).
- regularizedBeta(double, double, double, double) - Static method in class org.apache.commons.math3.special.Beta
-
Returns the regularized beta function I(x, a, b).
- regularizedBeta(double, double, double, double, int) - Static method in class org.apache.commons.math3.special.Beta
-
Returns the regularized beta function I(x, a, b).
- regularizedBeta(double, double, double, int) - Static method in class org.apache.commons.math3.special.Beta
-
Returns the regularized beta function I(x, a, b).
- regularizedGammaP(double, double) - Static method in class org.apache.commons.math3.special.Gamma
-
Returns the regularized gamma function P(a, x).
- regularizedGammaP(double, double, double, int) - Static method in class org.apache.commons.math3.special.Gamma
-
Returns the regularized gamma function P(a, x).
- regularizedGammaQ(double, double) - Static method in class org.apache.commons.math3.special.Gamma
-
Returns the regularized gamma function Q(a, x) = 1 - P(a, x).
- regularizedGammaQ(double, double, double, int) - Static method in class org.apache.commons.math3.special.Gamma
-
Returns the regularized gamma function Q(a, x) = 1 - P(a, x).
- reinitialize(double[], boolean, EquationsMapper, EquationsMapper[]) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Reinitialize the instance
- reinitialize(double[], boolean, EquationsMapper, EquationsMapper[]) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
-
Reinitialize the instance.
- reinitialize(double, double, double[], Array2DRowRealMatrix) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
-
Reinitialize the instance.
- reinitialize(AbstractIntegrator, double[], double[][], boolean, EquationsMapper, EquationsMapper[]) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Reinitialize the instance
- reinitialize(AbstractIntegrator, double[], double[][], boolean, EquationsMapper, EquationsMapper[]) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Reinitialize the instance
- reinitialize(AbstractIntegrator, double[], double[][], boolean, EquationsMapper, EquationsMapper[]) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaStepInterpolator
-
Reinitialize the instance
- reinitializeBegin(FieldStepInterpolator<T>) - Method in class org.apache.commons.math3.ode.events.FieldEventState
-
Reinitialize the beginning of the step.
- reinitializeBegin(StepInterpolator) - Method in class org.apache.commons.math3.ode.events.EventState
-
Reinitialize the beginning of the step.
- REL_TOL_UNUSED - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.LineSearch
-
Value that will pass the precondition check for
BrentOptimizer
but will not pass the convergence check, so that the custom checker will always decide when to stop the line search. - REL_TOL_UNUSED - Static variable in class org.apache.commons.math3.optimization.direct.PowellOptimizer.LineSearch
-
Deprecated.Value that will pass the precondition check for
BrentOptimizer
but will not pass the convergence check, so that the custom checker will always decide when to stop the line search. - relationship - Variable in class org.apache.commons.math3.optim.linear.LinearConstraint
-
Relationship between left and right hand sides (=, <=, >=).
- relationship - Variable in class org.apache.commons.math3.optimization.linear.LinearConstraint
-
Deprecated.Relationship between left and right hand sides (=, <=, >=).
- Relationship - Enum in org.apache.commons.math3.optim.linear
-
Types of relationships between two cells in a Solver
LinearConstraint
. - Relationship - Enum in org.apache.commons.math3.optimization.linear
-
Deprecated.As of 3.1 (to be removed in 4.0).
- Relationship(String) - Constructor for enum org.apache.commons.math3.optim.linear.Relationship
-
Simple constructor.
- Relationship(String) - Constructor for enum org.apache.commons.math3.optimization.linear.Relationship
-
Deprecated.Simple constructor.
- relativeAccuracy - Variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Maximum relative error.
- relativeAccuracy - Variable in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Relative accuracy.
- relativeAccuracy - Variable in class org.apache.commons.math3.analysis.solvers.FieldBracketingNthOrderBrentSolver
-
Relative accuracy.
- relativeCount - Variable in class org.apache.commons.math3.ml.neuralnet.twod.util.TopographicErrorHistogram
-
Whether to compute relative bin counts.
- relativeThreshold - Variable in class org.apache.commons.math3.optim.AbstractConvergenceChecker
-
Relative tolerance threshold.
- relativeThreshold - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
-
Relative threshold.
- relativeThreshold - Variable in class org.apache.commons.math3.optim.univariate.BrentOptimizer
-
Relative threshold.
- relativeThreshold - Variable in class org.apache.commons.math3.optimization.AbstractConvergenceChecker
-
Deprecated.Relative tolerance threshold.
- relativeThreshold - Variable in class org.apache.commons.math3.optimization.direct.PowellOptimizer
-
Deprecated.Relative threshold.
- relativeThreshold - Variable in class org.apache.commons.math3.optimization.univariate.BrentOptimizer
-
Deprecated.Relative threshold.
- relTol - Variable in class org.apache.commons.math3.fitting.leastsquares.EvaluationRmsChecker
-
relative tolerance for comparisons.
- remainder(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
IEEE remainder operator.
- remainder(double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
IEEE remainder operator.
- remainder(double) - Method in class org.apache.commons.math3.dfp.Dfp
-
IEEE remainder operator.
- remainder(double) - Method in interface org.apache.commons.math3.RealFieldElement
-
IEEE remainder operator.
- remainder(double) - Method in class org.apache.commons.math3.util.Decimal64
-
IEEE remainder operator.
- remainder(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Perform remainder of two derivative structures.
- remainder(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
IEEE remainder operator.
- remainder(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
IEEE remainder operator.
- remainder(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
-
Returns the IEEE remainder.
- remainder(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
-
IEEE remainder operator.
- remainder(T) - Method in interface org.apache.commons.math3.RealFieldElement
-
IEEE remainder operator.
- remainingRegion - Variable in class org.apache.commons.math3.geometry.euclidean.threed.SubLine
-
Remaining region of the hyperplane.
- remainingRegion - Variable in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
-
Remaining region of the hyperplane.
- remove() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet.SubIntervalsIterator
- remove() - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet.SubArcsIterator
- remove() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapSparseIterator
- remove() - Method in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
- remove() - Method in class org.apache.commons.math3.util.Combinations.LexicographicIterator
-
Not supported.
- remove() - Method in class org.apache.commons.math3.util.Combinations.SingletonIterator
-
Not supported
- remove() - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor
-
Not applicable.
- remove() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
- remove(int) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Remove the value associated with a key.
- remove(int) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Remove the value associated with a key.
- removeAndSlice(double[], int, int, double) - Static method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Remove the occurrence of a given value in a copied slice of array defined by the array part from [begin, begin+length).
- REMOVED - Enum constant in enum org.apache.commons.math3.stat.ranking.NaNStrategy
-
NaNs are removed before computing ranks
- REMOVED - Static variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Status indicator for removed table entries.
- REMOVED - Static variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Status indicator for removed table entries.
- removeData(double[][]) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Removes observations represented by the elements in
data
. - removeData(double, double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Removes the observation (x,y) from the regression data set.
- removeIterationListener(IterationListener) - Method in class org.apache.commons.math3.util.IterationManager
-
Removes the specified iteration listener from the list of listeners currently attached to
this
object. - removeMostRecentValue() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Removes the most recent value from the dataset.
- removeNaNs(NaturalRanking.IntDoublePair[]) - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Returns an array that is a copy of the input array with IntDoublePairs having NaN values removed.
- removeTransformer(Class<?>) - Method in class org.apache.commons.math3.util.TransformerMap
-
Removes a Class to Transformer Mapping in the Map.
- removeValues(double[], Set<Integer>) - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
-
Removes all values from the input array at the specified indices.
- reorderRegressors(int[], int) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
ALGORITHM AS274 APPL.
- repair(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.FitnessFunction
- repair(double[]) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.FitnessFunction
-
Deprecated.
- replaceAndSlice(double[], int, int, double, double) - Static method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Replace every occurrence of a given value with a replacement value in a copied slice of array defined by array part from [begin, begin+length).
- replaceMostRecentValue(double) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Replaces the most recently stored value with the given value.
- replaceWorstPoint(PointValuePair, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
Replace the worst point of the simplex by a new point.
- replaceWorstPoint(PointValuePair, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.Replace the worst point of the simplex by a new point.
- REPLAY_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
-
Replay data from valuesFilePath.
- repmat(RealMatrix, int, int) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
- repmat(RealMatrix, int, int) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- REPORT_URL - Static variable in exception class org.apache.commons.math3.exception.MathInternalError
-
URL for reporting problems.
- representableDelta(double, double) - Static method in class org.apache.commons.math3.util.Precision
-
Computes a number
delta
close tooriginalDelta
with the property that - representation - Variable in class org.apache.commons.math3.genetics.AbstractListChromosome
-
List representing the chromosome
- rescale(double) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
-
Rescale the instance.
- rescale(double[], double[], double[]) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
Update scaling array.
- rescale(T) - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator
-
Rescale the instance.
- reSeed() - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Reseeds the random number generator with
System.currentTimeMillis() + System.identityHashCode(this))
. - reSeed() - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.Reseeds the random number generator with
System.currentTimeMillis() + System.identityHashCode(this))
. - reSeed(long) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Reseeds the random number generator used by
EmpiricalDistribution.getNextValue()
. - reSeed(long) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Reseeds the random number generator with the supplied seed.
- reSeed(long) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.Reseeds the random number generator with the supplied seed.
- reSeed(long) - Method in class org.apache.commons.math3.random.ValueServer
-
Reseeds the random data generator.
- reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
-
Reseed the random generator used to generate samples.
- reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
-
Reseeds the random generator used to generate samples.
- reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
-
Reseed the random generator used to generate samples.
- reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution
-
Override with no-op (there is no generator).
- reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.EnumeratedDistribution
-
Reseed the random generator used to generate samples.
- reseedRandomGenerator(long) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
-
Reseed the random generator used to generate samples.
- reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
-
Reseeds the random generator used to generate samples.
- reseedRandomGenerator(long) - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution
-
Reseeds the random generator used to generate samples.
- reseedRandomGenerator(long) - Method in interface org.apache.commons.math3.distribution.RealDistribution
-
Reseed the random generator used to generate samples.
- reseedRandomGenerator(long) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
-
Reseed the random generator used to generate samples.
- reSeedSecure() - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Reseeds the secure random number generator with the current time in milliseconds.
- reSeedSecure() - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.Reseeds the secure random number generator with the current time in milliseconds.
- reSeedSecure(long) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Reseeds the secure random number generator with the supplied seed.
- reSeedSecure(long) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.Reseeds the secure random number generator with the supplied seed.
- reset() - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction.MicrosphereSurfaceElement
-
Deprecated.Reset "illumination" and "sampleIndex".
- reset(double, double[]) - Method in class org.apache.commons.math3.ode.events.EventState
-
Let the event handler reset the state if it wants.
- reset(Plane) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Reset the instance from another one.
- reset(Vector3D) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
-
Reset the instance as if built from a pole.
- reset(Vector3D, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Reset the instance as if built from two points.
- reset(Vector3D, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Reset the instance as if built from a point and a normal.
- reset(Vector2D, double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Reset the instance as if built from a line and an angle.
- reset(Vector2D, Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Reset the instance as if built from two points.
- reset(FieldODEStateAndDerivative<T>) - Method in class org.apache.commons.math3.ode.events.FieldEventState
-
Let the event handler reset the state if it wants.
- RESET_DERIVATIVES - Enum constant in enum org.apache.commons.math3.ode.events.Action
-
Reset derivatives indicator.
- RESET_DERIVATIVES - Enum constant in enum org.apache.commons.math3.ode.events.EventHandler.Action
-
Reset derivatives indicator.
- RESET_STATE - Enum constant in enum org.apache.commons.math3.ode.events.Action
-
Reset state indicator.
- RESET_STATE - Enum constant in enum org.apache.commons.math3.ode.events.EventHandler.Action
-
Reset state indicator.
- resetCount() - Method in class org.apache.commons.math3.util.Incrementor
-
Deprecated.Resets the counter to 0.
- resetInternalState() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
-
Reset internal state to dummy values.
- resetInternalState() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Reset internal state to dummy values.
- resetIterationCount() - Method in class org.apache.commons.math3.util.IterationManager
-
Sets the iteration count to 0.
- resetOccurred - Variable in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Indicator that a state or derivative reset was triggered by some event.
- resetOccurred - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
-
Indicator that a state or derivative reset was triggered by some event.
- resetOccurred() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Check if a reset occurred while last step was accepted.
- resetReplayFile() - Method in class org.apache.commons.math3.random.ValueServer
-
Resets REPLAY_MODE file pointer to the beginning of the
valuesFileURL
. - resetState(double, double[]) - Method in class org.apache.commons.math3.ode.events.EventFilter
-
Reset the state prior to continue the integration.
- resetState(double, double[]) - Method in interface org.apache.commons.math3.ode.events.EventHandler
-
Reset the state prior to continue the integration.
- resetState(FieldODEStateAndDerivative<T>) - Method in interface org.apache.commons.math3.ode.events.FieldEventHandler
-
Reset the state prior to continue the integration.
- resetTables(int) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
-
Reallocate the internal tables.
- residuals - Variable in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory.LocalLeastSquaresProblem.UnweightedEvaluation
-
Computed residuals.
- ResizableDoubleArray - Class in org.apache.commons.math3.util
-
A variable length
DoubleArray
implementation that automatically handles expanding and contracting its internal storage array as elements are added and removed. - ResizableDoubleArray() - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
-
Creates an instance with default properties.
- ResizableDoubleArray(double[]) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
-
Creates an instance from an existing
double[]
with the initial capacity and numElements corresponding to the size of the supplieddouble[]
array. - ResizableDoubleArray(int) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
-
Creates an instance with the specified initial capacity.
- ResizableDoubleArray(int, double) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
-
Creates an instance with the specified initial capacity and expansion factor.
- ResizableDoubleArray(int, double, double) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
-
Creates an instance with the specified initial capacity, expansion factor, and contraction criteria.
- ResizableDoubleArray(int, double, double, ResizableDoubleArray.ExpansionMode, double...) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
-
Creates an instance with the specified properties.
- ResizableDoubleArray(int, float) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
-
Deprecated.As of 3.1. Please use
ResizableDoubleArray(int,double)
instead. - ResizableDoubleArray(int, float, float) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
-
Deprecated.As of 3.1. Please use
ResizableDoubleArray(int,double,double)
instead. - ResizableDoubleArray(int, float, float, int) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
-
Deprecated.As of 3.1. Please use
ResizableDoubleArray(int,double,double,ExpansionMode,double[])
instead. - ResizableDoubleArray(ResizableDoubleArray) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
-
Copy constructor.
- ResizableDoubleArray.ExpansionMode - Enum in org.apache.commons.math3.util
-
Specification of expansion algorithm.
- RESIZE_MULTIPLIER - Static variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Multiplier for size growth when map fills up.
- RESIZE_MULTIPLIER - Static variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Multiplier for size growth when map fills up.
- resolveTie(double[], List<Integer>) - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Resolve a sequence of ties, using the configured
TiesStrategy
. - RESOURCE_NAME - Static variable in class org.apache.commons.math3.random.SobolSequenceGenerator
-
The resource containing the direction numbers.
- resplit(double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
-
Recompute a split.
- restoreNaNs(double[], List<Integer>) - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Set
ranks[i] = Double.NaN
for each i innanPositions.
- restrictStep(FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>) - Method in class org.apache.commons.math3.ode.sampling.AbstractFieldStepInterpolator
-
Create a new restricted version of the instance.
- restrictToNonNegative - Variable in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Whether to restrict the variables to non-negative values.
- restrictToNonNegative - Variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Whether to restrict the variables to non-negative values.
- restrictToNonNegative() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
-
Deprecated.
- retrieveLineSegments() - Method in class org.apache.commons.math3.geometry.euclidean.twod.hull.ConvexHull2D
-
Retrieve the line segments from the cached array or create them if needed.
- reunite(SubHyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
-
Compute the union of the instance and another sub-hyperplane.
- reunite(SubHyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
-
Compute the union of the instance and another sub-hyperplane.
- reverse - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Reverse line.
- reverse(int[]) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
- reverse(int[]) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- revert() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Revert a rotation.
- revert() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Get a line with reversed direction.
- revert() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Revert a rotation.
- revertSelf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
-
Revert the instance.
- revertSelf() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Revert the plane.
- revertSelf() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Revert the instance.
- revertSelf() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
-
Revert the instance.
- rHessian - Variable in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
-
Hessian of radius.
- rho - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
-
Reflection coefficient.
- rho - Variable in class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
-
Deprecated.Reflection coefficient.
- rhoBrent(int) - Static method in class org.apache.commons.math3.primes.PollardRho
-
Implementation of the Pollard's rho factorization algorithm.
- rhs - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
the elements of the R`Y
- RiddersSolver - Class in org.apache.commons.math3.analysis.solvers
-
Implements the Ridders' Method for root finding of real univariate functions.
- RiddersSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.RiddersSolver
-
Construct a solver with default accuracy (1e-6).
- RiddersSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.RiddersSolver
-
Construct a solver.
- RiddersSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.RiddersSolver
-
Construct a solver.
- right - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Deprecated.Right sub-tree.
- RIGHT - Enum constant in enum org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D.HorizontalDirection
-
Column at the right of the current column.
- RIGHT_HIGH - Enum constant in enum org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Skew
-
Deprecated.Code for right high trees.
- RIGHT_SIDE - Enum constant in enum org.apache.commons.math3.analysis.solvers.AllowedSolution
-
Only solutions that are greater than or equal to the actual root are acceptable as solutions for root-finding.
- rint() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Get the whole number that is the nearest to the instance, or the even one if x is exactly half way between two integers.
- rint() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Get the whole number that is the nearest to the instance, or the even one if x is exactly half way between two integers.
- rint() - Method in class org.apache.commons.math3.dfp.Dfp
-
Round to nearest integer using the round-half-even method.
- rint() - Method in interface org.apache.commons.math3.RealFieldElement
-
Get the whole number that is the nearest to the instance, or the even one if x is exactly half way between two integers.
- rint() - Method in class org.apache.commons.math3.util.Decimal64
-
Get the whole number that is the nearest to the instance, or the even one if x is exactly half way between two integers.
- rint(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Get the whole number that is the nearest to x, or the even one if x is exactly half way between two integers.
- Rint - Class in org.apache.commons.math3.analysis.function
-
rint
function. - Rint() - Constructor for class org.apache.commons.math3.analysis.function.Rint
- rjBesl(double, double, int) - Static method in class org.apache.commons.math3.special.BesselJ
-
Calculates Bessel functions \(J_{n+alpha}(x)\) for non-negative argument x, and non-negative order n + alpha.
- rMode - Variable in class org.apache.commons.math3.dfp.DfpField
-
Current rounding mode.
- rng - Variable in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Random data generator used by
KolmogorovSmirnovTest.monteCarloP(double, int, int, boolean, int)
- rnorm - Variable in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
-
The current estimate of the norm of the residual.
- rnorm - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The value of the updated, preconditioned residual P * r.
- ROBUSTNESS_ITERATIONS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- robustnessIters - Variable in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
-
The number of robustness iterations parameter: this many robustness iterations are done.
- ROMBERG_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.RombergIntegrator
-
Maximal number of iterations for Romberg.
- RombergIntegrator - Class in org.apache.commons.math3.analysis.integration
-
Implements the Romberg Algorithm for integration of real univariate functions.
- RombergIntegrator() - Constructor for class org.apache.commons.math3.analysis.integration.RombergIntegrator
-
Construct a Romberg integrator with default settings (max iteration count set to
RombergIntegrator.ROMBERG_MAX_ITERATIONS_COUNT
) - RombergIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.RombergIntegrator
-
Build a Romberg integrator with given accuracies and iterations counts.
- RombergIntegrator(int, int) - Constructor for class org.apache.commons.math3.analysis.integration.RombergIntegrator
-
Build a Romberg integrator with given iteration counts.
- root - Variable in class org.apache.commons.math3.geometry.spherical.twod.EdgesBuilder
-
Root of the tree.
- root - Variable in class org.apache.commons.math3.linear.RectangularCholeskyDecomposition
-
Permutated Cholesky root of the symmetric positive semidefinite matrix.
- root - Variable in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
-
Root of the covariance matrix.
- rootLogLikelihoodRatio(long, long, long, long) - Method in class org.apache.commons.math3.stat.inference.GTest
-
Calculates the root log-likelihood ratio for 2 state Datasets.
- rootLogLikelihoodRatio(long, long, long, long) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- rootN(double[], int, int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute nth root of a derivative structure.
- rootN(int) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Nth root.
- rootN(int) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Nth root.
- rootN(int) - Method in class org.apache.commons.math3.dfp.Dfp
-
Nth root.
- rootN(int) - Method in interface org.apache.commons.math3.RealFieldElement
-
Nth root.
- rootN(int) - Method in class org.apache.commons.math3.util.Decimal64
-
Nth root.
- ROOTS_OF_UNITY_NOT_COMPUTED_YET - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- RootsOfUnity - Class in org.apache.commons.math3.complex
-
A helper class for the computation and caching of the
n
-th roots of unity. - RootsOfUnity() - Constructor for class org.apache.commons.math3.complex.RootsOfUnity
-
Build an engine for computing the
n
-th roots of unity. - rotate(Vector3D, Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Rotate the plane around the specified point.
- rotate(Vector3D, Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
-
Rotate the region around the specified point.
- rotateCCW() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Deprecated.Perform a counter-clockwise rotation rooted at the instance.
- rotateCW() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Deprecated.Perform a clockwise rotation rooted at the instance.
- rotation - Variable in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.RotationTransform
-
Vectorial rotation.
- rotation - Variable in class org.apache.commons.math3.geometry.spherical.twod.Circle.CircleTransform
-
Underlying rotation.
- Rotation - Class in org.apache.commons.math3.geometry.euclidean.threed
-
This class implements rotations in a three-dimensional space.
- Rotation(double[][], double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Build a rotation from a 3X3 matrix.
- Rotation(double, double, double, double, boolean) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Build a rotation from the quaternion coordinates.
- Rotation(RotationOrder, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Deprecated.as of 3.6, replaced with
Rotation(RotationOrder, RotationConvention, double, double, double)
- Rotation(RotationOrder, RotationConvention, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Build a rotation from three Cardan or Euler elementary rotations.
- Rotation(Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Deprecated.as of 3.6, replaced with
Rotation(Vector3D, double, RotationConvention)
- Rotation(Vector3D, double, RotationConvention) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Build a rotation from an axis and an angle.
- Rotation(Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Build one of the rotations that transform one vector into another one.
- Rotation(Vector3D, Vector3D, Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Build the rotation that transforms a pair of vectors into another pair.
- ROTATION_MATRIX_DIMENSIONS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- RotationConvention - Enum in org.apache.commons.math3.geometry.euclidean.threed
-
This enumerates is used to differentiate the semantics of a rotation.
- RotationConvention() - Constructor for enum org.apache.commons.math3.geometry.euclidean.threed.RotationConvention
- RotationOrder - Class in org.apache.commons.math3.geometry.euclidean.threed
-
This class is a utility representing a rotation order specification for Cardan or Euler angles specification.
- RotationOrder(String, Vector3D, Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
-
Private constructor.
- RotationTransform(Vector3D, Rotation) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.RotationTransform
-
Build a rotation transform.
- round() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Get the closest long to instance value.
- round() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Get the closest long to instance value.
- round() - Method in class org.apache.commons.math3.dfp.Dfp
-
Get the closest long to instance value.
- round() - Method in interface org.apache.commons.math3.RealFieldElement
-
Get the closest long to instance value.
- round() - Method in class org.apache.commons.math3.util.Decimal64
-
Get the closest long to instance value.
- round(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Get the closest long to x.
- round(double, int) - Static method in class org.apache.commons.math3.util.Precision
-
Rounds the given value to the specified number of decimal places.
- round(double, int, int) - Static method in class org.apache.commons.math3.util.Precision
-
Rounds the given value to the specified number of decimal places.
- round(float) - Static method in class org.apache.commons.math3.util.FastMath
-
Get the closest int to x.
- round(float, int) - Static method in class org.apache.commons.math3.util.Precision
-
Rounds the given value to the specified number of decimal places.
- round(float, int, int) - Static method in class org.apache.commons.math3.util.Precision
-
Rounds the given value to the specified number of decimal places.
- round(int) - Method in class org.apache.commons.math3.dfp.Dfp
-
Round this given the next digit n using the current rounding mode.
- round(int) - Method in class org.apache.commons.math3.dfp.DfpDec
-
Round this given the next digit n using the current rounding mode.
- ROUND_CEIL - Enum constant in enum org.apache.commons.math3.dfp.DfpField.RoundingMode
-
Rounds towards positive infinity.
- ROUND_DOWN - Enum constant in enum org.apache.commons.math3.dfp.DfpField.RoundingMode
-
Rounds toward zero (truncation).
- ROUND_FLOOR - Enum constant in enum org.apache.commons.math3.dfp.DfpField.RoundingMode
-
Rounds towards negative infinity.
- ROUND_HALF_DOWN - Enum constant in enum org.apache.commons.math3.dfp.DfpField.RoundingMode
-
Rounds towards nearest unless both are equidistant in which case it rounds toward zero.
- ROUND_HALF_EVEN - Enum constant in enum org.apache.commons.math3.dfp.DfpField.RoundingMode
-
Rounds towards nearest unless both are equidistant in which case it rounds toward the even neighbor.
- ROUND_HALF_ODD - Enum constant in enum org.apache.commons.math3.dfp.DfpField.RoundingMode
-
Rounds towards nearest unless both are equidistant in which case it rounds toward the odd neighbor.
- ROUND_HALF_UP - Enum constant in enum org.apache.commons.math3.dfp.DfpField.RoundingMode
-
Rounds towards nearest unless both are equidistant in which case it rounds away from zero.
- ROUND_UP - Enum constant in enum org.apache.commons.math3.dfp.DfpField.RoundingMode
-
Rounds away from zero if discarded digit is non-zero.
- roundedK(double) - Method in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
-
Deprecated.Calculates
P(D_n < d)
using method described in [1] and doubles (see above). - roundedK(double, int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Calculates
P(D_n < d)
using method described in [1] and doubles (see above). - roundingMode - Variable in class org.apache.commons.math3.util.BigReal
-
Rounding mode for divisions.
- RoundingMode() - Constructor for enum org.apache.commons.math3.dfp.DfpField.RoundingMode
- roundUnscaled(double, double, int) - Static method in class org.apache.commons.math3.util.Precision
-
Rounds the given non-negative value to the "nearest" integer.
- row - Variable in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization.DataRow
-
One data row.
- row - Variable in exception class org.apache.commons.math3.linear.NonSymmetricMatrixException
-
Row.
- row - Variable in class org.apache.commons.math3.ml.neuralnet.twod.util.LocationFinder.Location
-
Row index.
- ROW_INDEX - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- ROW_INDEX_OUT_OF_RANGE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- rowPrefix - Variable in class org.apache.commons.math3.linear.RealMatrixFormat
-
Row prefix.
- rows - Variable in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Number of rows of the matrix.
- rows - Variable in class org.apache.commons.math3.linear.BlockRealMatrix
-
Number of rows of the matrix.
- rows - Variable in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Number of rows of the matrix.
- rows - Variable in class org.apache.commons.math3.linear.SparseFieldMatrix
-
Row dimension.
- rows - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.As of 3.1.
- rowSeparator - Variable in class org.apache.commons.math3.linear.RealMatrixFormat
-
Row separator.
- rowSuffix - Variable in class org.apache.commons.math3.linear.RealMatrixFormat
-
Row suffix.
- RRQRDecomposition - Class in org.apache.commons.math3.linear
-
Calculates the rank-revealing QR-decomposition of a matrix, with column pivoting.
- RRQRDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.RRQRDecomposition
-
Calculates the QR-decomposition of the given matrix.
- RRQRDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math3.linear.RRQRDecomposition
-
Calculates the QR-decomposition of the given matrix.
- RRQRDecomposition.Solver - Class in org.apache.commons.math3.linear
-
Specialized solver.
- rsl - Variable in class org.apache.commons.math3.random.ISAACRandom
-
The results given to the user
- RSQ_IDX - Static variable in class org.apache.commons.math3.stat.regression.RegressionResults
-
INDEX of R-Squared of regression
- rss - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
residual sum of squares for all nested regressions
- rss_set - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
has rss been called?
- RTNSIG - Static variable in class org.apache.commons.math3.special.BesselJ
-
10.0 ** (-K) for the smallest integer K such that K >= NSIG/4
- run() - Method in class org.apache.commons.math3.ml.neuralnet.sofm.KohonenTrainingTask
- RungeKuttaFieldIntegrator<T> - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements the common part of all fixed step Runge-Kutta integrators for Ordinary Differential Equations.
- RungeKuttaFieldIntegrator(Field<T>, String, T) - Constructor for class org.apache.commons.math3.ode.nonstiff.RungeKuttaFieldIntegrator
-
Simple constructor.
- RungeKuttaFieldStepInterpolator<T> - Class in org.apache.commons.math3.ode.nonstiff
-
This class represents an interpolator over the last step during an ODE integration for Runge-Kutta and embedded Runge-Kutta integrators.
- RungeKuttaFieldStepInterpolator(Field<T>, boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Constructor for class org.apache.commons.math3.ode.nonstiff.RungeKuttaFieldStepInterpolator
-
Simple constructor.
- RungeKuttaIntegrator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements the common part of all fixed step Runge-Kutta integrators for Ordinary Differential Equations.
- RungeKuttaIntegrator(String, double[], double[][], double[], RungeKuttaStepInterpolator, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.RungeKuttaIntegrator
-
Simple constructor.
- RungeKuttaStepInterpolator - Class in org.apache.commons.math3.ode.nonstiff
-
This class represents an interpolator over the last step during an ODE integration for Runge-Kutta and embedded Runge-Kutta integrators.
- RungeKuttaStepInterpolator() - Constructor for class org.apache.commons.math3.ode.nonstiff.RungeKuttaStepInterpolator
-
Simple constructor.
- RungeKuttaStepInterpolator(RungeKuttaStepInterpolator) - Constructor for class org.apache.commons.math3.ode.nonstiff.RungeKuttaStepInterpolator
-
Copy constructor.
S
- s - Variable in class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator
-
Intermediate result.
- s - Variable in class org.apache.commons.math3.distribution.LogisticDistribution
-
The scale parameter.
- s - Variable in class org.apache.commons.math3.distribution.ZipfDistribution.ZipfRejectionInversionSampler
-
Constant equal to
2 - hIntegralInverse(hIntegral(2.5) - h(2)
. - S_LIMIT - Static variable in class org.apache.commons.math3.special.Gamma
-
S limit.
- S1Point - Class in org.apache.commons.math3.geometry.spherical.oned
-
This class represents a point on the 1-sphere.
- S1Point(double) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.S1Point
-
Simple constructor.
- S1Point(double, Vector2D) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.S1Point
-
Build a point from its internal components.
- S2Point - Class in org.apache.commons.math3.geometry.spherical.twod
-
This class represents a point on the 2-sphere.
- S2Point(double, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.S2Point
-
Simple constructor.
- S2Point(double, double, Vector3D) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.S2Point
-
Build a point from its internal components.
- S2Point(Vector3D) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.S2Point
-
Simple constructor.
- SaddlePointExpansion - Class in org.apache.commons.math3.distribution
-
Utility class used by various distributions to accurately compute their respective probability mass functions.
- SaddlePointExpansion() - Constructor for class org.apache.commons.math3.distribution.SaddlePointExpansion
-
Default constructor.
- SAFE_MIN - Static variable in class org.apache.commons.math3.util.Precision
-
Safe minimum, such that
1 / SAFE_MIN
does not overflow. - safeNorm(double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Returns the Cartesian norm (2-norm), handling both overflow and underflow.
- safety - Variable in class org.apache.commons.math3.ode.MultistepFieldIntegrator
-
Safety factor for stepsize control.
- safety - Variable in class org.apache.commons.math3.ode.MultistepIntegrator
-
Safety factor for stepsize control.
- safety - Variable in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
-
Safety factor for stepsize control.
- safety - Variable in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Safety factor for stepsize control.
- SAME_SIGN_AT_ENDPOINTS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- sameOrientationAs(Hyperplane<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
-
Check if the instance has the same orientation as another hyperplane.
- sameOrientationAs(Hyperplane<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Check if the instance has the same orientation as another hyperplane.
- sameOrientationAs(Hyperplane<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Check if the instance has the same orientation as another hyperplane.
- sameOrientationAs(Hyperplane<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
-
Check if the instance has the same orientation as another hyperplane.
- sameOrientationAs(Hyperplane<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
-
Check if the instance has the same orientation as another hyperplane.
- sameOrientationAs(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
-
Check if the instance has the same orientation as another hyperplane.
- sample - Variable in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere.FacetData
-
Data value of the sample.
- sample() - Method in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere.FacetData
-
Get the data value.
- sample() - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction.MicrosphereSurfaceElement
-
Deprecated.Get the sample illuminating the element the most.
- sample() - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
-
Generate a random value sampled from this distribution.
- sample() - Method in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
-
Generates a random value vector sampled from this distribution.
- sample() - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
-
Generate a random value sampled from this distribution.
- sample() - Method in class org.apache.commons.math3.distribution.BetaDistribution
-
Generate a random value sampled from this distribution.
- sample() - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution
-
Generate a random value sampled from this distribution.
- sample() - Method in class org.apache.commons.math3.distribution.EnumeratedDistribution
-
Generate a random value sampled from this distribution.
- sample() - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
-
Generate a random value sampled from this distribution.
- sample() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
-
Generate a random value sampled from this distribution.
- sample() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
-
Generate a random value sampled from this distribution.
- sample() - Method in class org.apache.commons.math3.distribution.GammaDistribution
-
This implementation uses the following algorithms:
- sample() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
-
Generate a random value sampled from this distribution.
- sample() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
-
Generate a random value sampled from this distribution.
- sample() - Method in class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
-
Generates a random value vector sampled from this distribution.
- sample() - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
-
Generates a random value vector sampled from this distribution.
- sample() - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution
-
Generates a random value vector sampled from this distribution.
- sample() - Method in class org.apache.commons.math3.distribution.NormalDistribution
-
Generate a random value sampled from this distribution.
- sample() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
-
Generate a random value sampled from this distribution.
- sample() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
-
Generate a random value sampled from this distribution.
- sample() - Method in interface org.apache.commons.math3.distribution.RealDistribution
-
Generate a random value sampled from this distribution.
- sample() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
-
Generate a random value sampled from this distribution.
- sample() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
-
Generate a random value sampled from this distribution.
- sample() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
-
Generate a random value sampled from this distribution.
- sample(int) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
-
Generate a random sample from the distribution.
- sample(int) - Method in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
-
Generates a list of a random value vectors from the distribution.
- sample(int) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
-
Generate a random sample from the distribution.
- sample(int) - Method in class org.apache.commons.math3.distribution.EnumeratedDistribution
-
Generate a random sample from the distribution.
- sample(int) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
-
Generate a random sample from the distribution.
- sample(int) - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution
-
Generates a list of a random value vectors from the distribution.
- sample(int) - Method in interface org.apache.commons.math3.distribution.RealDistribution
-
Generate a random sample from the distribution.
- sample(int, T[]) - Method in class org.apache.commons.math3.distribution.EnumeratedDistribution
-
Generate a random sample from the distribution.
- sample(UnivariateFunction, double, double, int) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
Samples the specified univariate real function on the specified interval.
- sample(RandomGenerator) - Method in class org.apache.commons.math3.distribution.ZipfDistribution.ZipfRejectionInversionSampler
-
Generate one integral number in the range [1, numberOfElements].
- sample(RandomGenerator, double, double) - Static method in class org.apache.commons.math3.distribution.BetaDistribution.ChengBetaSampler
-
Returns one sample using Cheng's sampling algorithm.
- SAMPLE_SIZE_EXCEEDS_COLLECTION_SIZE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- SAMPLE_SIZE_LARGER_THAN_POPULATION_SIZE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- sampler - Variable in class org.apache.commons.math3.distribution.ZipfDistribution
-
The sampler to be used for the sample() method
- samples - Variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction
-
Deprecated.Sample data.
- sampleSize - Variable in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
The sample size.
- sampleStats - Variable in class org.apache.commons.math3.random.EmpiricalDistribution
-
Sample statistics
- samplingMatrix - Variable in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
-
Matrix used in computation of samples.
- sanityChecks(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Check the integration span.
- sanityChecks(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Check the integration span.
- sanityChecks(FieldODEState<T>, T) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Check the integration span.
- sanityChecks(FieldODEState<T>, T) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
-
Check the integration span.
- savedStart - Variable in class org.apache.commons.math3.ode.MultistepFieldIntegrator.FieldNordsieckInitializer
-
Saved start.
- saveMembershipMatrix(double[][]) - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
-
Copy the membership matrix into the provided matrix.
- scalAbsoluteTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
-
Allowed absolute scalar error.
- scalAbsoluteTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Allowed absolute scalar error.
- scalarAdd(double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns the result of adding
d
to each entry ofthis
. - scalarAdd(double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Returns the result of adding
d
to each entry ofthis
. - scalarAdd(double) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Returns the result of adding
d
to each entry ofthis
. - scalarAdd(T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Increment each entry of this matrix.
- scalarAdd(T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Increment each entry of this matrix.
- scalarAdd(T) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Increment each entry of this matrix.
- scalarMultiply(double) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Multiply the instance by a scalar.
- scalarMultiply(double) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Multiply the instance by a scalar.
- scalarMultiply(double) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Multiply the instance by a scalar.
- scalarMultiply(double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Multiply the instance by a scalar.
- scalarMultiply(double) - Method in interface org.apache.commons.math3.geometry.Vector
-
Multiply the instance by a scalar.
- scalarMultiply(double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns the result of multiplying each entry of
this
byd
. - scalarMultiply(double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Returns the result of multiplying each entry of
this
byd
. - scalarMultiply(double) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Returns the result of multiplying each entry of
this
byd
. - scalarMultiply(T) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Multiply the instance by a scalar.
- scalarMultiply(T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Multiply each entry by
d
. - scalarMultiply(T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Multiply each entry by
d
. - scalarMultiply(T) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Multiply each entry by
d
. - scalb(double, int) - Static method in class org.apache.commons.math3.util.FastMath
-
Multiply a double number by a power of 2.
- scalb(float, int) - Static method in class org.apache.commons.math3.util.FastMath
-
Multiply a float number by a power of 2.
- scalb(int) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Multiply the instance by a power of 2.
- scalb(int) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Multiply the instance by a power of 2.
- scalb(int) - Method in class org.apache.commons.math3.dfp.Dfp
-
Multiply the instance by a power of 2.
- scalb(int) - Method in interface org.apache.commons.math3.RealFieldElement
-
Multiply the instance by a power of 2.
- scalb(int) - Method in class org.apache.commons.math3.util.Decimal64
-
Multiply the instance by a power of 2.
- scale - Variable in class org.apache.commons.math3.distribution.CauchyDistribution
-
The scale of this distribution.
- scale - Variable in class org.apache.commons.math3.distribution.GammaDistribution
-
The scale parameter.
- scale - Variable in class org.apache.commons.math3.distribution.LogNormalDistribution
-
The scale parameter of this distribution.
- scale - Variable in class org.apache.commons.math3.distribution.ParetoDistribution
-
The scale parameter of this distribution.
- scale - Variable in class org.apache.commons.math3.distribution.WeibullDistribution
-
The scale parameter.
- scale - Variable in class org.apache.commons.math3.ml.neuralnet.sofm.util.QuasiSigmoidDecayFunction
- scale - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter
-
Optional scaling matrix (weight and correlations) for the residuals.
- scale - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionPenaltyAdapter
-
Penalty scales.
- scale - Variable in class org.apache.commons.math3.optimization.direct.MultivariateFunctionPenaltyAdapter
-
Deprecated.Penalty scales.
- scale - Variable in class org.apache.commons.math3.optimization.LeastSquaresConverter
-
Deprecated.Optional scaling matrix (weight and correlations) for the residuals.
- scale - Variable in class org.apache.commons.math3.util.BigReal
-
BigDecimal scale
- scale(double, double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Create a copy of an array scaled by a value.
- SCALE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- SCALE - Static variable in class org.apache.commons.math3.random.SobolSequenceGenerator
-
The scaling factor.
- scaleArray(double[], double) - Static method in class org.apache.commons.math3.transform.TransformUtils
-
Multiply every component in the given real array by the given real number.
- scaleArray(Complex[], double) - Static method in class org.apache.commons.math3.transform.TransformUtils
-
Multiply every component in the given complex array by the given real number.
- scaled - Variable in class org.apache.commons.math3.ode.MultistepFieldIntegrator
-
First scaled derivative (h y').
- scaled - Variable in class org.apache.commons.math3.ode.MultistepIntegrator
-
First scaled derivative (h y').
- scaled - Variable in class org.apache.commons.math3.ode.nonstiff.AdamsFieldStepInterpolator
-
First scaled derivative.
- scaled - Variable in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonFieldIntegrator.Corrector
-
Current scaled first derivative.
- scaled - Variable in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator.Corrector
-
Current scaled first derivative.
- scaled - Variable in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
-
First scaled derivative.
- scaleInPlace(double, double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Multiply each element of an array by a value.
- scalingH - Variable in class org.apache.commons.math3.ode.nonstiff.AdamsFieldStepInterpolator
-
Step size used in the first scaled derivative and Nordsieck vector.
- scalingH - Variable in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
-
Step size used in the first scaled derivative and Nordsieck vector.
- scalRelativeTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
-
Allowed relative scalar error.
- scalRelativeTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Allowed relative scalar error.
- SchurTransformer - Class in org.apache.commons.math3.linear
-
Class transforming a general real matrix to Schur form.
- SchurTransformer(RealMatrix) - Constructor for class org.apache.commons.math3.linear.SchurTransformer
-
Build the transformation to Schur form of a general real matrix.
- SchurTransformer.ShiftInfo - Class in org.apache.commons.math3.linear
-
Internal data structure holding the current shift information.
- score(List<? extends Cluster<T>>) - Method in class org.apache.commons.math3.ml.clustering.evaluation.ClusterEvaluator
-
Computes the evaluation score for the given list of clusters.
- score(List<? extends Cluster<T>>) - Method in class org.apache.commons.math3.ml.clustering.evaluation.SumOfClusterVariances
-
Computes the evaluation score for the given list of clusters.
- scramble(int, int, int, int) - Method in class org.apache.commons.math3.random.HaltonSequenceGenerator
-
Performs scrambling of digit
d_j
according to the formula: - search(double[], double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.LineSearch
-
Finds the number
alpha
that optimizesf(startPoint + alpha * direction)
. - search(double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.PowellOptimizer.LineSearch
-
Deprecated.Find the minimum of the function
f(p + alpha * d)
. - search(UnivariateFunction, GoalType, double, double) - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
-
Search new points that bracket a local optimum of the function.
- search(UnivariateFunction, GoalType, double, double) - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.Search new points that bracket a local optimum of the function.
- searchDirection - Variable in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer.LineSearchFunction
-
Deprecated.Search direction.
- searchForFitnessUpdate(Population) - Method in class org.apache.commons.math3.genetics.Chromosome
-
Searches the population for a chromosome representing the same solution, and if it finds one, updates the fitness to its value.
- searchIndex(double, double[]) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicInterpolatingFunction
- searchIndex(double, double[]) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
-
Deprecated.
- searchIndex(double, double[]) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicInterpolatingFunction
- searchIndex(double, double[]) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolatingFunction
-
Deprecated.
- searchIndex(double, double[], int, int) - Method in class org.apache.commons.math3.analysis.interpolation.PiecewiseBicubicSplineInterpolatingFunction
- SearchInterval - Class in org.apache.commons.math3.optim.univariate
-
Search interval and (optional) start value.
- SearchInterval(double, double) - Constructor for class org.apache.commons.math3.optim.univariate.SearchInterval
- SearchInterval(double, double, double) - Constructor for class org.apache.commons.math3.optim.univariate.SearchInterval
- searchIntervalIndex - Variable in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
-
Location in
MultiStartUnivariateOptimizer.optimData
where the updated start value will be stored. - searchMax - Variable in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Higher end of search interval.
- searchMax - Variable in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.Higher end of search interval.
- searchMin - Variable in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Lower end of search interval.
- searchMin - Variable in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.Lower end of search interval.
- searchStart - Variable in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Initial guess.
- searchStart - Variable in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
-
Deprecated.Initial guess .
- SecantSolver - Class in org.apache.commons.math3.analysis.solvers
-
Implements the Secant method for root-finding (approximating a zero of a univariate real function).
- SecantSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.SecantSolver
-
Construct a solver with default accuracy (1e-6).
- SecantSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.SecantSolver
-
Construct a solver.
- SecantSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.SecantSolver
-
Construct a solver.
- second - Variable in class org.apache.commons.math3.genetics.ChromosomePair
-
the second chromosome in the pair.
- secondary - Variable in class org.apache.commons.math3.linear.BiDiagonalTransformer
-
Secondary diagonal.
- secondary - Variable in class org.apache.commons.math3.linear.EigenDecomposition
-
Secondary diagonal of the tridiagonal matrix.
- secondary - Variable in class org.apache.commons.math3.linear.TriDiagonalTransformer
-
Secondary diagonal.
- SecondaryComponent(SecondaryEquations, int) - Constructor for class org.apache.commons.math3.ode.ExpandableStatefulODE.SecondaryComponent
-
Simple constructor.
- secondaryDerivative - Variable in class org.apache.commons.math3.ode.FieldODEStateAndDerivative
-
Derivative of the secondary state at time.
- SecondaryEquations - Interface in org.apache.commons.math3.ode
-
This interface allows users to add secondary differential equations to a primary set of differential equations.
- secondaryMappers - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Equations mappers for the secondary equations sets.
- secondaryState - Variable in class org.apache.commons.math3.ode.FieldODEState
-
Secondary state at time.
- secondMoment - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
SecondMoment is used to compute the mean and variance
- SecondMoment - Class in org.apache.commons.math3.stat.descriptive.moment
-
Computes a statistic related to the Second Central Moment.
- SecondMoment() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
-
Create a SecondMoment instance
- SecondMoment(SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
-
Copy constructor, creates a new
SecondMoment
identical to theoriginal
- SecondOrderDifferentialEquations - Interface in org.apache.commons.math3.ode
-
This interface represents a second order differential equations set.
- SecondOrderIntegrator - Interface in org.apache.commons.math3.ode
-
This interface represents a second order integrator for differential equations.
- secRand - Variable in class org.apache.commons.math3.random.RandomDataGenerator
-
underlying secure random number generator
- Segment - Class in org.apache.commons.math3.geometry.euclidean.threed
-
Simple container for a two-points segment.
- Segment - Class in org.apache.commons.math3.geometry.euclidean.twod
-
Simple container for a two-points segment.
- Segment(Vector3D, Vector3D, Line) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Segment
-
Build a segment.
- Segment(Vector2D, Vector2D, Line) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Segment
-
Build a segment.
- segments - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.SegmentsBuilder
-
Built segments.
- SegmentsBuilder(double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.SegmentsBuilder
-
Simple constructor.
- select(double[], int[], int) - Method in class org.apache.commons.math3.util.KthSelector
-
Select Kth value in the array.
- select(Population) - Method in interface org.apache.commons.math3.genetics.SelectionPolicy
-
Select two chromosomes from the population.
- select(Population) - Method in class org.apache.commons.math3.genetics.TournamentSelection
-
Select two chromosomes from the population.
- selectClosest(Vector2D, Iterable<BSPTree<Euclidean2D>>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.SegmentsBuilder
-
Select the node whose cut sub-hyperplane is closest to specified point.
- selectColumns(RealMatrix, int[]) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
- selectColumns(RealMatrix, int[]) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- selectedParameters - Variable in class org.apache.commons.math3.ode.JacobianMatrices
-
Selected parameters for parameter Jacobian computation.
- selectFarthest(Iterable<P>, EnclosingBall<S, P>) - Method in class org.apache.commons.math3.geometry.enclosing.WelzlEncloser
-
Select the point farthest to the current ball.
- selectionPolicy - Variable in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
the selection policy used by the algorithm.
- SelectionPolicy - Interface in org.apache.commons.math3.genetics
-
Algorithm used to select a chromosome pair from a population.
- selectPending() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet.SubIntervalsIterator
-
Walk the tree to select the pending sub-interval.
- selectPending() - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet.SubArcsIterator
-
Walk the tree to select the pending sub-arc.
- selectTransformer(Transformer, double, boolean) - Method in enum org.apache.commons.math3.ode.events.FilterType
-
Get next function transformer in the specified direction.
- SemiVariance - Class in org.apache.commons.math3.stat.descriptive.moment
-
Computes the semivariance of a set of values with respect to a given cutoff value.
- SemiVariance() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Constructs a SemiVariance with default (true)
biasCorrected
property and default (Downside)varianceDirection
property. - SemiVariance(boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Constructs a SemiVariance with the specified
biasCorrected
property and default (Downside)varianceDirection
property. - SemiVariance(boolean, SemiVariance.Direction) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Constructs a SemiVariance with the specified
isBiasCorrected
property and the specifiedDirection
property. - SemiVariance(SemiVariance) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Copy constructor, creates a new
SemiVariance
identical to theoriginal
- SemiVariance(SemiVariance.Direction) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Constructs a SemiVariance with the specified
Direction
property and default (true)biasCorrected
property - SemiVariance.Direction - Enum in org.apache.commons.math3.stat.descriptive.moment
-
The direction of the semivariance - either upside or downside.
- separator - Variable in class org.apache.commons.math3.geometry.VectorFormat
-
Separator.
- separator - Variable in class org.apache.commons.math3.linear.RealVectorFormat
-
Separator.
- sequence - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
step size sequence.
- sequence(double, double, double) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
- sequence(double, double, double) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- sequence(int, int, int) - Static method in class org.apache.commons.math3.util.MathArrays
-
Returns an array of
size
integers starting atstart
, skippingstride
numbers. - SEQUENTIAL - Enum constant in enum org.apache.commons.math3.stat.ranking.TiesStrategy
-
Ties assigned sequential ranks in order of occurrence
- SerializationProxy(boolean, boolean, SquareNeighbourhood, double[][][]) - Constructor for class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D.SerializationProxy
- SerializationProxy(boolean, double[][]) - Constructor for class org.apache.commons.math3.ml.neuralnet.oned.NeuronString.SerializationProxy
- SerializationProxy(long, double[]) - Constructor for class org.apache.commons.math3.ml.neuralnet.Neuron.SerializationProxy
- SerializationProxy(long, int, Neuron[], long[][]) - Constructor for class org.apache.commons.math3.ml.neuralnet.Network.SerializationProxy
- serializeContext(ObjectOutputStream) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
-
Serialize
ExceptionContext.context
. - serializeMessages(ObjectOutputStream) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
-
Serialize
ExceptionContext.msgPatterns
andExceptionContext.msgArguments
. - serializeRealMatrix(RealMatrix, ObjectOutputStream) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Serialize a
RealMatrix
. - serializeRealVector(RealVector, ObjectOutputStream) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Serialize a
RealVector
. - serialVersionUID - Static variable in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure.DataTransferObject
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.analysis.interpolation.DividedDifferenceInterpolator
-
serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
-
serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.analysis.interpolation.NevilleInterpolator
-
serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
-
Serialization identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.complex.Complex
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.complex.ComplexField
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.complex.Quaternion
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.complex.RootsOfUnity
-
Serializable version id.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.AbstractRealDistribution
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.BetaDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.BinomialDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.CauchyDistribution
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.ConstantRealDistribution
-
Serialization ID
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.EnumeratedDistribution
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.ExponentialDistribution
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.FDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.GammaDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.GeometricDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.GumbelDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
-
Deprecated.Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.LaplaceDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.LevyDistribution
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.LogisticDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.LogNormalDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.NakagamiDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.NormalDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.ParetoDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.PascalDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.PoissonDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.TDistribution
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.TriangularDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.UniformIntegerDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.UniformRealDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.WeibullDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.distribution.ZipfDistribution
-
Serializable version identifier.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.exception.ConvergenceException
-
Serializable version Id.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.exception.DimensionMismatchException
-
Serializable version Id.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.exception.InsufficientDataException
-
Serializable version Id.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.exception.MathArithmeticException
-
Serializable version Id.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.exception.MathIllegalArgumentException
-
Serializable version Id.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.exception.MathIllegalNumberException
-
Serializable version Id.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.exception.MathIllegalStateException
-
Serializable version Id.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.exception.MathInternalError
-
Serializable version Id.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.exception.MathParseException
-
Serializable version Id.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.exception.MathRuntimeException
-
Serializable version Id.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.exception.MathUnsupportedOperationException
-
Serializable version Id.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.exception.MaxCountExceededException
-
Serializable version Id.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.exception.MultiDimensionMismatchException
-
Serializable version Id.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.exception.NoBracketingException
-
Serializable version Id.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.exception.NoDataException
-
Serializable version Id.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.exception.NonMonotonicSequenceException
-
Serializable version Id.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.exception.NotANumberException
-
Serializable version Id.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.exception.NotFiniteNumberException
-
Serializable version Id.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.exception.NotPositiveException
-
Serializable version Id.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.exception.NotStrictlyPositiveException
-
Serializable version Id.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.exception.NullArgumentException
-
Serializable version Id.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.exception.NumberIsTooLargeException
-
Serializable version Id.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.exception.NumberIsTooSmallException
-
Serializable version Id.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.exception.OutOfRangeException
-
Serializable version Id.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.exception.TooManyEvaluationsException
-
Serializable version Id.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.exception.TooManyIterationsException
-
Serializable version Id.
- serialVersionUID - Static variable in class org.apache.commons.math3.exception.util.DummyLocalizable
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.exception.util.ExceptionContext
-
Serializable version Id.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.exception.ZeroException
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.fitting.WeightedObservedPoint
-
Serializable version id.
- serialVersionUID - Static variable in class org.apache.commons.math3.fitting.WeightedObservedPoints
-
Serializable version id.
- serialVersionUID - Static variable in class org.apache.commons.math3.fraction.AbstractFormat
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.fraction.BigFraction
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.fraction.BigFractionField
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.fraction.BigFractionFormat
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.fraction.Fraction
-
Serializable version identifier
- serialVersionUID - Static variable in exception class org.apache.commons.math3.fraction.FractionConversionException
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.fraction.FractionField
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.fraction.FractionFormat
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.fraction.ProperBigFractionFormat
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.fraction.ProperFractionFormat
-
Serializable version identifier
- serialVersionUID - Static variable in exception class org.apache.commons.math3.genetics.InvalidRepresentationException
-
Serialization version id
- serialVersionUID - Static variable in class org.apache.commons.math3.geometry.enclosing.EnclosingBall
-
Serializable UID.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D.NoSubSpaceException
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Serializable UID.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.geometry.euclidean.threed.CardanEulerSingularityException
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Serializable version identifier.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.geometry.euclidean.threed.NotARotationMatrixException
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates.DataTransferObject
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.hull.ConvexHull2D
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Serializable UID.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.geometry.spherical.oned.ArcsSet.InconsistentStateAt2PiWrapping
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.geometry.spherical.oned.S1Point
-
Serializable UID.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.geometry.spherical.oned.Sphere1D.NoSubSpaceException
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.geometry.spherical.oned.Sphere1D
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.geometry.spherical.twod.Sphere2D
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.linear.ArrayFieldVector
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.linear.ArrayRealVector
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.linear.BlockRealMatrix
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
- serialVersionUID - Static variable in class org.apache.commons.math3.linear.DiagonalMatrix
-
Serializable version identifier.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.linear.IllConditionedOperatorException
-
Serializable version Id.
- serialVersionUID - Static variable in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
-
Serialization identifier.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.linear.MatrixDimensionMismatchException
-
Serializable version Id.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException
-
Serializable version Id.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.linear.NonPositiveDefiniteOperatorException
-
Serializable version Id.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.linear.NonSelfAdjointOperatorException
-
Serializable version Id.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.linear.NonSquareMatrixException
-
Serializable version Id.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.linear.NonSquareOperatorException
-
Serializable version Id.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.linear.NonSymmetricMatrixException
-
Serializable version Id.
- serialVersionUID - Static variable in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.linear.OpenMapRealVector
-
Serializable version identifier.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.linear.SingularMatrixException
-
Serializable version Id.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.linear.SingularOperatorException
-
Serializable version Id.
- serialVersionUID - Static variable in class org.apache.commons.math3.linear.SparseFieldVector
-
Serialization identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.ml.clustering.CentroidCluster
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.ml.clustering.Cluster
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.ml.clustering.DoublePoint
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.ml.distance.CanberraDistance
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.ml.distance.ChebyshevDistance
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.ml.distance.EarthMoversDistance
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.ml.distance.EuclideanDistance
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.ml.distance.ManhattanDistance
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.ml.neuralnet.Network.NeuronIdentifierComparator
-
Version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.ml.neuralnet.Network.SerializationProxy
-
Serializable.
- serialVersionUID - Static variable in class org.apache.commons.math3.ml.neuralnet.Network
-
Serializable.
- serialVersionUID - Static variable in class org.apache.commons.math3.ml.neuralnet.Neuron.SerializationProxy
-
Serializable.
- serialVersionUID - Static variable in class org.apache.commons.math3.ml.neuralnet.Neuron
-
Serializable.
- serialVersionUID - Static variable in class org.apache.commons.math3.ml.neuralnet.oned.NeuronString.SerializationProxy
-
Serializable.
- serialVersionUID - Static variable in class org.apache.commons.math3.ml.neuralnet.oned.NeuronString
-
Serial version ID
- serialVersionUID - Static variable in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D.SerializationProxy
-
Serializable.
- serialVersionUID - Static variable in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
-
Serial version ID
- serialVersionUID - Static variable in class org.apache.commons.math3.ode.ContinuousOutputModel
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.ode.EquationsMapper
-
Serializable UID.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.ode.events.EventState.LocalMaxCountExceededException
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.ode.FieldEquationsMapper
-
Serializable UID.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.ode.JacobianMatrices.MismatchedEquations
-
Serializable UID.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.ode.MultistepFieldIntegrator.InitializationCompletedMarkerException
-
Serializable version identifier.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.ode.MultistepIntegrator.InitializationCompletedMarkerException
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaStepInterpolator
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.ode.nonstiff.EulerStepInterpolator
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.ode.nonstiff.GillStepInterpolator
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.ode.nonstiff.HighamHall54StepInterpolator
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.ode.nonstiff.LutherStepInterpolator
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.ode.nonstiff.MidpointStepInterpolator
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.ode.nonstiff.ThreeEighthesStepInterpolator
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.ode.ParameterConfiguration
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
-
Serializable version identifier
- serialVersionUID - Static variable in exception class org.apache.commons.math3.ode.UnknownParameterException
-
Serializable version Id.
- serialVersionUID - Static variable in class org.apache.commons.math3.optim.linear.LinearConstraint
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
-
Serializable version identifier.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.optim.linear.NoFeasibleSolutionException
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Serializable version identifier.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.optim.linear.UnboundedSolutionException
-
Serializable version identifier.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer.PathIsExploredException
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.optim.PointValuePair.DataTransferObject
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.optim.PointValuePair
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.optim.PointVectorValuePair.DataTransferObject
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.optim.PointVectorValuePair
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.optim.univariate.UnivariatePointValuePair
-
Serializable version identifier.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer.PathIsExploredException
-
Deprecated.Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint
-
Deprecated.Serializable version id.
- serialVersionUID - Static variable in class org.apache.commons.math3.optimization.linear.LinearConstraint
-
Deprecated.Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
-
Deprecated.Serializable version identifier.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.optimization.linear.NoFeasibleSolutionException
-
Deprecated.Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Serializable version identifier.
- serialVersionUID - Static variable in exception class org.apache.commons.math3.optimization.linear.UnboundedSolutionException
-
Deprecated.Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.optimization.PointValuePair.DataTransferObject
-
Deprecated.Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.optimization.PointValuePair
-
Deprecated.Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.optimization.PointVectorValuePair.DataTransferObject
-
Deprecated.Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.optimization.PointVectorValuePair
-
Deprecated.Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.optimization.univariate.UnivariatePointValuePair
-
Deprecated.Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.random.AbstractWell
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.random.BitsStreamGenerator
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.random.EmpiricalDistribution
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.random.ISAACRandom
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.random.JDKRandomGenerator
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.random.MersenneTwister
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.random.RandomAdaptor
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.random.RandomDataGenerator
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.random.Well1024a
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.random.Well19937a
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.random.Well19937c
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.random.Well44497a
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.random.Well44497b
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.random.Well512a
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.clustering.Cluster
-
Deprecated.Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
-
Deprecated.Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
-
Deprecated.Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics.AggregatingSummaryStatistics
-
The serialization version of this class
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Serialization UID
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.FirstMoment
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.FourthMoment
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.Mean
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.Skewness
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.ThirdMoment
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Serialization UID
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.rank.Max
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.rank.Median
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.rank.Min
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.FixedCapacityList
-
Serialization Version Id
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Marker
-
Serial Version ID
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Markers
-
Serial version id
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
-
Serial ID
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
-
Serialization id
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.summary.Product
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.summary.Sum
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Serialization UID
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
-
Serialization UID
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Serialization UID
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Serialization UID
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.Frequency.NaturalComparator
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.Frequency
-
Serializable version identifier
- serialVersionUID - Static variable in exception class org.apache.commons.math3.stat.regression.ModelSpecificationException
-
Serializable version Id.
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.regression.RegressionResults
-
UID
- serialVersionUID - Static variable in class org.apache.commons.math3.stat.regression.SimpleRegression
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.transform.FastCosineTransformer
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.transform.FastFourierTransformer
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.transform.FastHadamardTransformer
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.transform.FastSineTransformer
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.util.BigReal
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.util.BigRealField
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.util.CentralPivotingStrategy
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.util.Combinations.LexicographicComparator
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.util.Decimal64
- serialVersionUID - Static variable in class org.apache.commons.math3.util.DefaultTransformer
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.util.IterationEvent
- serialVersionUID - Static variable in class org.apache.commons.math3.util.KthSelector
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.util.MedianOf3PivotingStrategy
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Serializable version identifier
- serialVersionUID - Static variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.util.RandomPivotingStrategy
-
Serializable UID.
- serialVersionUID - Static variable in class org.apache.commons.math3.util.ResizableDoubleArray
-
Serializable version identifier.
- serialVersionUID - Static variable in class org.apache.commons.math3.util.TransformerMap
-
Serializable version identifier
- set(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Set all elements to a single value.
- set(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Set all elements to a single value.
- set(double) - Method in class org.apache.commons.math3.linear.RealVector
-
Set all elements to a single value.
- set(int, ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Set a set of consecutive elements.
- set(Complex, int...) - Method in class org.apache.commons.math3.transform.FastFourierTransformer.MultiDimensionalComplexMatrix
-
Deprecated.Set a matrix element.
- set(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Set all elements to a single value.
- set(T) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Set all elements to a single value.
- set(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Set all elements to a single value.
- SET_QUANTILE_METHOD_NAME - Static variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Name of the setQuantile method.
- setAngle(double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Set the angle of the line.
- setArity(int) - Method in class org.apache.commons.math3.genetics.TournamentSelection
-
Sets the arity (number of chromosomes drawn to the tournament).
- setAttribute(Object) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Associate an attribute with the instance.
- setBarycenter(Point<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Set the barycenter of the instance.
- setBarycenter(Vector<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Set the barycenter of the instance.
- setBiasCorrected(boolean) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Sets the biasCorrected property.
- setBiasCorrected(boolean) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
- setBiasCorrected(boolean) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
- setChromosomes(List<Chromosome>) - Method in class org.apache.commons.math3.genetics.ListPopulation
-
Deprecated.use
ListPopulation.addChromosomes(Collection)
instead - setClockWise(boolean) - Method in class org.apache.commons.math3.geometry.euclidean.twod.NestedLoops
-
Set the loop orientation.
- setColumn(int, double[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Sets the specified
column
ofthis
matrix to the entries of the specifiedarray
. - setColumn(int, double[]) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Sets the specified
column
ofthis
matrix to the entries of the specifiedarray
. - setColumn(int, double[]) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Sets the specified
column
ofthis
matrix to the entries of the specifiedarray
. - setColumn(int, T[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Set the entries in column number
column
as a column matrix. - setColumn(int, T[]) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Set the entries in column number
column
as a column matrix. - setColumn(int, T[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Set the entries in column number
column
as a column matrix. - setColumnMatrix(int, BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Sets the entries in column number
column
as a column matrix. - setColumnMatrix(int, BlockRealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Sets the entries in column number
column
as a column matrix. - setColumnMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Set the entries in column number
column
as a column matrix. - setColumnMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Set the entries in column number
column
as a column matrix. - setColumnMatrix(int, FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Set the entries in column number
column
as a column matrix. - setColumnMatrix(int, RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Sets the specified
column
ofthis
matrix to the entries of the specified columnmatrix
. - setColumnMatrix(int, RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Sets the specified
column
ofthis
matrix to the entries of the specified columnmatrix
. - setColumnMatrix(int, RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Sets the specified
column
ofthis
matrix to the entries of the specified columnmatrix
. - setColumnVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Set the entries in column number
column
as a vector. - setColumnVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Set the entries in column number
column
as a vector. - setColumnVector(int, FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Set the entries in column number
column
as a vector. - setColumnVector(int, RealVector) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Sets the specified
column
ofthis
matrix to the entries of the specifiedvector
. - setColumnVector(int, RealVector) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Sets the specified
column
ofthis
matrix to the entries of the specifiedvector
. - setColumnVector(int, RealVector) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Sets the specified
column
ofthis
matrix to the entries of the specifiedvector
. - setCompleteState(double[]) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Set the complete current state.
- setContractionCriteria(float) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Deprecated.As of 3.1 (to be removed in 4.0 as field will become "final").
- setControlFactors(double, double, double, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
Set the step size control factors.
- setCost(double) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
-
Deprecated.Sets the cost.
- setCost(double) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.Sets the cost.
- setData(double[]) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
-
Set the data array.
- setData(double[]) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Set the data array.
- setData(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
-
Set the data array.
- setData(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Set the data array.
- setDenominatorFormat(NumberFormat) - Method in class org.apache.commons.math3.fraction.AbstractFormat
-
Modify the denominator format.
- setElement(int, double) - Method in interface org.apache.commons.math3.util.DoubleArray
-
Sets the element at the specified index.
- setElement(int, double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Sets the element at the specified index.
- setElement(int, int, StorelessBivariateCovariance) - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
-
Sets the covariance element at index (i, j) in the covariance matrix
- setElitismRate(double) - Method in class org.apache.commons.math3.genetics.ElitisticListPopulation
-
Sets the elitism rate, i.e.
- setEntry(int, double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Set a single element.
- setEntry(int, double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Set a single element.
- setEntry(int, double) - Method in class org.apache.commons.math3.linear.RealVector
-
Set a single element.
- setEntry(int, int, double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Set the entry in the specified row and column.
- setEntry(int, int, double) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Set the entry in the specified row and column.
- setEntry(int, int, double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Set the entry in the specified row and column.
- setEntry(int, int, double) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
-
Set the entry in the specified row and column.
- setEntry(int, int, double) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Set the entry in the specified row and column.
- setEntry(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Set the entry in the specified row and column.
- setEntry(int, int, double) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Set an entry of the tableau.
- setEntry(int, int, double) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Set an entry of the tableau.
- setEntry(int, int, T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Set the entry in the specified row and column.
- setEntry(int, int, T) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Set the entry in the specified row and column.
- setEntry(int, int, T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Set the entry in the specified row and column.
- setEntry(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Set the entry in the specified row and column.
- setEntry(int, int, T) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
-
Set the entry in the specified row and column.
- setEntry(int, T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Set a single element.
- setEntry(int, T) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Set a single element.
- setEntry(int, T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Set a single element.
- setEquations(ExpandableStatefulODE) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Set the equations.
- setExpandable(ExpandableStatefulODE) - Method in class org.apache.commons.math3.ode.events.EventState
-
Set the equation.
- setExpansionFactor(float) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Deprecated.As of 3.1 (to be removed in 4.0 as field will become "final").
- setExpansionMode(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Deprecated.As of 3.1. Please use
ResizableDoubleArray.setExpansionMode(ExpansionMode)
instead. - setExpansionMode(ResizableDoubleArray.ExpansionMode) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Deprecated.As of 3.1 (to be removed in 4.0 as field will become "final").
- setFrame() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Reset the plane frame.
- setGeoMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Sets the implementation for the geometric mean.
- setGeoMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Sets the implementation for the geometric mean.
- setGeoMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Sets the implementation for the geometric mean.
- setGeoMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Sets the implementation for the geometric mean.
- setGeometricMeanImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Sets the implementation for the gemoetric mean.
- setHP(double) - Method in class org.apache.commons.math3.ode.ParameterConfiguration
-
Set parameter step.
- setIEEEFlags(int) - Method in class org.apache.commons.math3.dfp.DfpField
-
Sets the IEEE 854 status flags.
- setIEEEFlagsBits(int) - Method in class org.apache.commons.math3.dfp.DfpField
-
Sets some bits in the IEEE 854 status flags, without changing the already set bits.
- setImpl(StorelessUnivariateStatistic[], StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Sets statistics implementations.
- setIncoming(PolygonsSet.Edge) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Vertex
-
Set incoming edge.
- setIncoming(Edge) - Method in class org.apache.commons.math3.geometry.spherical.twod.Vertex
-
Set incoming edge.
- setIndex(int) - Method in class org.apache.commons.math3.linear.RealVector.Entry
-
Set the index of the entry.
- setInitialCapacity(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Deprecated.As of 3.1, this is a no-op.
- setInitialMainStateJacobian(double[][]) - Method in class org.apache.commons.math3.ode.JacobianMatrices
-
Set the initial value of the Jacobian matrix with respect to state.
- setInitialParameterJacobian(String, double[]) - Method in class org.apache.commons.math3.ode.JacobianMatrices
-
Set the initial value of a column of the Jacobian matrix with respect to one parameter.
- setInitialStep(double) - Method in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
-
Deprecated.Set the initial step used to bracket the optimum in line search.
- setInitialStepSize(double) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Set the initial step size.
- setInitialStepSize(T) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
-
Set the initial step size.
- setInterpolatedTime(double) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
-
Set the time of the interpolated point.
- setInterpolatedTime(double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Set the time of the interpolated point.
- setInterpolatedTime(double) - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
-
Set the time of the interpolated point.
- setInterpolationControl(boolean, int) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
Set the interpolation order control parameter.
- setIsLastStep(boolean) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Set the last state flag.
- setKurtosisImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Sets the implementation for the kurtosis.
- setMaxEvaluations(int) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Set the maximal number of differential equations function evaluations.
- setMaxEvaluations(int) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Set the maximal number of differential equations function evaluations.
- setMaxEvaluations(int) - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator
-
Set the maximal number of differential equations function evaluations.
- setMaxEvaluations(int) - Method in interface org.apache.commons.math3.ode.ODEIntegrator
-
Set the maximal number of differential equations function evaluations.
- setMaxGrowth(double) - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator
-
Set the maximal growth factor for stepsize control.
- setMaxGrowth(double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
-
Set the maximal growth factor for stepsize control.
- setMaxGrowth(double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Set the maximal growth factor for stepsize control.
- setMaxGrowth(T) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
-
Set the maximal growth factor for stepsize control.
- setMaximalCount(int) - Method in class org.apache.commons.math3.util.Incrementor
-
Deprecated.Sets the upper limit for the counter.
- setMaxImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Sets the implementation for the maximum.
- setMaxImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Sets the implementation for the maximum.
- setMaxImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Sets the implementation for the maximum.
- setMaxImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Sets the implementation for the maximum.
- setMaxImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Sets the implementation for the maximum.
- setMaxIterations(int) - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
-
Deprecated.Set the maximal number of iterations of the algorithm.
- setMaxIterations(int) - Method in interface org.apache.commons.math3.optimization.linear.LinearOptimizer
-
Deprecated.Set the maximal number of iterations of the algorithm.
- setMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Sets the implementation for the mean.
- setMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Sets the implementation for the mean.
- setMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Sets the implementation for the mean.
- setMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Sets the implementation for the mean.
- setMeanImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Sets the implementation for the mean.
- setMinImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Sets the implementation for the minimum.
- setMinImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Sets the implementation for the minimum.
- setMinImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Sets the implementation for the minimum.
- setMinImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Sets the implementation for the minimum.
- setMinImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Sets the implementation for the minimum.
- setMinReduction(double) - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator
-
Set the minimal reduction factor for stepsize control.
- setMinReduction(double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
-
Set the minimal reduction factor for stepsize control.
- setMinReduction(double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Set the minimal reduction factor for stepsize control.
- setMinReduction(T) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
-
Set the minimal reduction factor for stepsize control.
- setMode(int) - Method in class org.apache.commons.math3.random.ValueServer
-
Sets the data generation mode.
- setMu(double) - Method in class org.apache.commons.math3.random.ValueServer
-
Sets the
mean
used in data generation. - setNext(PolygonsSet.ConnectableSegment) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.ConnectableSegment
-
Set the next segment.
- setNextEdge(Edge) - Method in class org.apache.commons.math3.geometry.spherical.twod.Edge
-
Connect the instance with a following edge.
- setNode(BSPTree<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Edge
-
Set the node whose cut hyperplane contains this edge.
- setNoIntercept(boolean) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
- setNormal(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Set the normal vactor.
- setNumElements(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
This function allows you to control the number of elements contained in this array, and can be used to "throw out" the last n values in an array.
- setNumeratorFormat(NumberFormat) - Method in class org.apache.commons.math3.fraction.AbstractFormat
-
Modify the numerator format.
- setOrderControl(int, double, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
Set the order control parameters.
- setOriginOffset(double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Set the offset of the origin.
- setOutgoing(PolygonsSet.Edge) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Vertex
-
Set outgoing edge.
- setOutgoing(Edge) - Method in class org.apache.commons.math3.geometry.spherical.twod.Vertex
-
Set outgoing edge.
- setParameter(String, double) - Method in interface org.apache.commons.math3.ode.ParameterizedODE
-
Set the value for a given parameter.
- setParameter(String, double) - Method in class org.apache.commons.math3.ode.ParameterizedWrapper
-
Set the value for a given parameter.
- setParameterizedODE(ParameterizedODE) - Method in class org.apache.commons.math3.ode.JacobianMatrices
-
Set a parameter Jacobian provider.
- setParameterStep(String, double) - Method in class org.apache.commons.math3.ode.JacobianMatrices
-
Set the step associated to a parameter in order to compute by finite difference the Jacobian matrix.
- setPercentileImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Sets the implementation to be used by
DescriptiveStatistics.getPercentile(double)
. - setPoint(int, PointValuePair) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
Store a new point at location
index
. - setPoint(int, PointValuePair) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.Store a new point at location
index
. - setPoints(PointValuePair[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
Replace all points.
- setPoints(PointValuePair[]) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.Replace all points.
- setPopulationLimit(int) - Method in class org.apache.commons.math3.genetics.ListPopulation
-
Sets the maximal population size.
- setPrevious(PolygonsSet.ConnectableSegment) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.ConnectableSegment
-
Set the previous segment.
- setPrimaryState(double[]) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Set primary part of the current state.
- setProcessed(boolean) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.ConnectableSegment
-
Set the processed flag.
- setQuantile(double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Sets the value of the quantile field (determines what percentile is computed when evaluate() is called with no quantile argument).
- setRandomGenerator(RandomGenerator) - Static method in class org.apache.commons.math3.genetics.GeneticAlgorithm
-
Set the (static) random generator.
- setRoundingMode(RoundingMode) - Method in class org.apache.commons.math3.util.BigReal
-
Sets the rounding mode for decimal divisions.
- setRoundingMode(DfpField.RoundingMode) - Method in class org.apache.commons.math3.dfp.DfpField
-
Set the rounding mode.
- setRow(int, double[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Sets the specified
row
ofthis
matrix to the entries of the specifiedarray
. - setRow(int, double[]) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Sets the specified
row
ofthis
matrix to the entries of the specifiedarray
. - setRow(int, double[]) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Sets the specified
row
ofthis
matrix to the entries of the specifiedarray
. - setRow(int, T[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Set the entries in row number
row
as a row matrix. - setRow(int, T[]) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Set the entries in row number
row
as a row matrix. - setRow(int, T[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Set the entries in row number
row
as a row matrix. - setRowMatrix(int, BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Sets the entries in row number
row
as a row matrix. - setRowMatrix(int, BlockRealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Sets the entries in row number
row
as a row matrix. - setRowMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Set the entries in row number
row
as a row matrix. - setRowMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Set the entries in row number
row
as a row matrix. - setRowMatrix(int, FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Set the entries in row number
row
as a row matrix. - setRowMatrix(int, RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Sets the specified
row
ofthis
matrix to the entries of the specified rowmatrix
. - setRowMatrix(int, RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Sets the specified
row
ofthis
matrix to the entries of the specified rowmatrix
. - setRowMatrix(int, RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Sets the specified
row
ofthis
matrix to the entries of the specified rowmatrix
. - setRowVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Set the entries in row number
row
as a vector. - setRowVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Set the entries in row number
row
as a vector. - setRowVector(int, FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Set the entries in row number
row
as a vector. - setRowVector(int, RealVector) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Sets the specified
row
ofthis
matrix to the entries of the specifiedvector
. - setRowVector(int, RealVector) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Sets the specified
row
ofthis
matrix to the entries of the specifiedvector
. - setRowVector(int, RealVector) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Sets the specified
row
ofthis
matrix to the entries of the specifiedvector
. - setSafety(double) - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator
-
Set the safety factor for stepsize control.
- setSafety(double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
-
Set the safety factor for stepsize control.
- setSafety(double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
-
Set the safety factor for stepsize control.
- setSafety(T) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
-
Set the safety factor for stepsize control.
- setScale(int) - Method in class org.apache.commons.math3.util.BigReal
-
Sets the scale for division operations.
- setSecondaryState(int, double[]) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Set secondary part of the current state.
- setSecureAlgorithm(String, String) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
Sets the PRNG algorithm for the underlying SecureRandom instance using the Security Provider API.
- setSecureAlgorithm(String, String) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.Sets the PRNG algorithm for the underlying SecureRandom instance using the Security Provider API.
- setSeed(int) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
-
Sets the seed of the underlying random number generator using an
int
seed. - setSeed(int) - Method in class org.apache.commons.math3.random.AbstractWell
-
Reinitialize the generator as if just built with the given int seed.
- setSeed(int) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
-
Sets the seed of the underlying random number generator using an
int
seed. - setSeed(int) - Method in class org.apache.commons.math3.random.ISAACRandom
-
Sets the seed of the underlying random number generator using an
int
seed. - setSeed(int) - Method in class org.apache.commons.math3.random.JDKRandomGenerator
-
Sets the seed of the underlying random number generator using an
int
seed. - setSeed(int) - Method in class org.apache.commons.math3.random.MersenneTwister
-
Reinitialize the generator as if just built with the given int seed.
- setSeed(int) - Method in class org.apache.commons.math3.random.RandomAdaptor
-
Sets the seed of the underlying random number generator using an
int
seed. - setSeed(int) - Method in interface org.apache.commons.math3.random.RandomGenerator
-
Sets the seed of the underlying random number generator using an
int
seed. - setSeed(int) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
-
Sets the seed of the underlying random number generator using an
int
seed. - setSeed(int[]) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
-
Sets the seed of the underlying random number generator using an
int
array seed. - setSeed(int[]) - Method in class org.apache.commons.math3.random.AbstractWell
-
Reinitialize the generator as if just built with the given int array seed.
- setSeed(int[]) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
-
Sets the seed of the underlying random number generator using an
int
array seed. - setSeed(int[]) - Method in class org.apache.commons.math3.random.ISAACRandom
-
Sets the seed of the underlying random number generator using an
int
array seed. - setSeed(int[]) - Method in class org.apache.commons.math3.random.JDKRandomGenerator
-
Sets the seed of the underlying random number generator using an
int
array seed. - setSeed(int[]) - Method in class org.apache.commons.math3.random.MersenneTwister
-
Reinitialize the generator as if just built with the given int array seed.
- setSeed(int[]) - Method in class org.apache.commons.math3.random.RandomAdaptor
-
Sets the seed of the underlying random number generator using an
int
array seed. - setSeed(int[]) - Method in interface org.apache.commons.math3.random.RandomGenerator
-
Sets the seed of the underlying random number generator using an
int
array seed. - setSeed(int[]) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
-
Sets the seed of the underlying random number generator using an
int
array seed. - setSeed(long) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
-
Sets the seed of the underlying random number generator using a
long
seed. - setSeed(long) - Method in class org.apache.commons.math3.random.AbstractWell
-
Reinitialize the generator as if just built with the given long seed.
- setSeed(long) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
-
Sets the seed of the underlying random number generator using a
long
seed. - setSeed(long) - Method in class org.apache.commons.math3.random.ISAACRandom
-
Sets the seed of the underlying random number generator using a
long
seed. - setSeed(long) - Method in class org.apache.commons.math3.random.MersenneTwister
-
Reinitialize the generator as if just built with the given long seed.
- setSeed(long) - Method in class org.apache.commons.math3.random.RandomAdaptor
-
Sets the seed of the underlying random number generator using a
long
seed. - setSeed(long) - Method in interface org.apache.commons.math3.random.RandomGenerator
-
Sets the seed of the underlying random number generator using a
long
seed. - setSeed(long) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
-
Sets the seed of the underlying random number generator using a
long
seed. - setSigma(double) - Method in class org.apache.commons.math3.random.ValueServer
-
Sets the
standard deviation
used inValueServer.GAUSSIAN_MODE
. - setSimplex(AbstractSimplex) - Method in class org.apache.commons.math3.optimization.direct.SimplexOptimizer
-
Deprecated.As of 3.1. The initial simplex can now be passed as an argument of the
BaseAbstractMultivariateOptimizer.optimize(int,MultivariateFunction,GoalType,OptimizationData[])
method. - setSize(double) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Set the size of the instance.
- setSkewnessImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Sets the implementation for the skewness.
- setSoftCurrentTime(double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Restrict step range to a limited part of the global step.
- setSoftPreviousTime(double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Restrict step range to a limited part of the global step.
- setStabilityCheck(boolean, int, int, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
Set the stability check controls.
- setStarterIntegrator(FirstOrderFieldIntegrator<T>) - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator
-
Set the starter integrator.
- setStarterIntegrator(FirstOrderIntegrator) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
-
Set the starter integrator.
- setState(int) - Method in class org.apache.commons.math3.random.ISAACRandom
-
Set the state by copying the internal arrays.
- setStateInitialized(boolean) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Set the stateInitialized flag.
- setStateInitialized(boolean) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
-
Set the stateInitialized flag.
- setStepSize(T) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Set the current step size.
- setStepSizeControl(double, double, double[], double[]) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
-
Set the adaptive step size control parameters.
- setStepSizeControl(double, double, double[], double[]) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Set the adaptive step size control parameters.
- setStepSizeControl(double, double, double, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
-
Set the adaptive step size control parameters.
- setStepSizeControl(double, double, double, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Set the adaptive step size control parameters.
- setStepStart(FieldODEStateAndDerivative<T>) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Set current step start.
- setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Replace the submatrix starting at
row, column
using data in the inputsubMatrix
array. - setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Replace the submatrix starting at
row, column
using data in the inputsubMatrix
array. - setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Replace the submatrix starting at
row, column
using data in the inputsubMatrix
array. - setSubMatrix(double[][], int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Replace the submatrix starting at
row, column
using data in the inputsubMatrix
array. - setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Replace the submatrix starting at
(row, column)
using data in the inputsubMatrix
array. - setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Replace the submatrix starting at
(row, column)
using data in the inputsubMatrix
array. - setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Replace the submatrix starting at
(row, column)
using data in the inputsubMatrix
array. - setSubMatrix(T[][], int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Replace the submatrix starting at
(row, column)
using data in the inputsubMatrix
array. - setSubVector(int, double[]) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Set a set of consecutive elements.
- setSubVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Set a set of consecutive elements.
- setSubVector(int, FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Set a set of consecutive elements.
- setSubVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Set a set of consecutive elements.
- setSubVector(int, RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Set a sequence of consecutive elements.
- setSubVector(int, RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Set a sequence of consecutive elements.
- setSubVector(int, RealVector) - Method in class org.apache.commons.math3.linear.RealVector
-
Set a sequence of consecutive elements.
- setSumImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Sets the implementation for the Sum.
- setSumImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Sets the implementation for the Sum.
- setSumImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Sets the implementation for the Sum.
- setSumImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Sets the implementation for the Sum.
- setSumImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Sets the implementation for the sum.
- setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
-
Sets the implementation for the sum of logs.
- setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Sets the implementation for the sum of logs.
- setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Sets the implementation for the sum of logs.
- setSumLogImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Sets the implementation for the sum of logs.
- setSumLogImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Sets the implementation for the sum of logs.
- setSumsqImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Sets the implementation for the sum of squares.
- setSumsqImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Sets the implementation for the sum of squares.
- setSumsqImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Sets the implementation for the sum of squares.
- setSumsqImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Sets the implementation for the sum of squares.
- setSumsqImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Sets the implementation for the sum of squares.
- setTableau(SimplexTableau) - Method in class org.apache.commons.math3.optim.linear.SolutionCallback
-
Set the simplex tableau used during the optimization once a feasible solution has been found.
- setTime(double) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Set current time.
- setup(double[], double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Performs validity checks.
- setup(double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Performs validity checks.
- setup(int, FUNC, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Prepare for computation.
- setup(int, DifferentiableUnivariateFunction, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver
-
Deprecated.Prepare for computation.
- setup(int, UnivariateDifferentiableFunction, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractUnivariateDifferentiableSolver
-
Prepare for computation.
- setup(int, PolynomialFunction, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver
-
Prepare for computation.
- setup(int, UnivariateFunction, double, double) - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
-
Prepare for computation.
- setUp() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.Method which a subclass must override whenever its internal state depend on the
input
parsed by this base class. - setUp() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.Method which a subclass must override whenever its internal state depend on the
input
parsed by this base class. - setValue(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapEntry
-
Set the value of the entry.
- setValue(double) - Method in class org.apache.commons.math3.linear.RealVector.Entry
-
Set the value of the entry.
- setValue(String, Object) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
-
Sets the context (key, value) pair.
- setValueRange(double) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.FitnessFunction
-
Deprecated.
- setValuesFileURL(String) - Method in class org.apache.commons.math3.random.ValueServer
-
Sets the
values file URL
using a string URL representation. - setValuesFileURL(URL) - Method in class org.apache.commons.math3.random.ValueServer
-
Sets the the
values file URL
. - setVarianceDirection(SemiVariance.Direction) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Sets the variance direction
- setVarianceImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Sets the implementation for the variance.
- setVarianceImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Sets the implementation for the variance.
- setVarianceImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Sets the implementation for the variance.
- setWholeFormat(NumberFormat) - Method in class org.apache.commons.math3.fraction.ProperBigFractionFormat
-
Modify the whole format.
- setWholeFormat(NumberFormat) - Method in class org.apache.commons.math3.fraction.ProperFractionFormat
-
Modify the whole format.
- setWindowSize(int) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
WindowSize controls the number of values that contribute to the reported statistics.
- setWindowSize(int) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
-
WindowSize controls the number of values that contribute to the reported statistics.
- SGN_MASK - Static variable in class org.apache.commons.math3.util.Precision
-
Offset to order signed double numbers lexicographically.
- SGN_MASK_FLOAT - Static variable in class org.apache.commons.math3.util.Precision
-
Offset to order signed double numbers lexicographically.
- shape - Variable in class org.apache.commons.math3.distribution.GammaDistribution
-
The shape parameter.
- shape - Variable in class org.apache.commons.math3.distribution.LogNormalDistribution
-
The shape parameter of this distribution.
- shape - Variable in class org.apache.commons.math3.distribution.ParetoDistribution
-
The shape parameter of this distribution.
- shape - Variable in class org.apache.commons.math3.distribution.WeibullDistribution
-
The shape parameter.
- SHAPE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- sharedCircleWith(Vertex) - Method in class org.apache.commons.math3.geometry.spherical.twod.Vertex
-
Get the common circle bound with both the instance and another vertex, if any.
- sharedLineWith(PolygonsSet.Vertex) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Vertex
-
Get the common line bound with both the instance and another vertex, if any.
- sharedSphere - Variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereProjectionInterpolator
-
Whether to share the sphere.
- shift - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
Copy of the
shift
parameter. - shift() - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaStepInterpolator
-
Shift one step forward.
- shift() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Shift one step forward.
- shift(double[], double) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
-
Compute the coefficients of the polynomial \(P_s(x)\) whose values at point
x
will be the same as the those from the original polynomial \(P(x)\) when computed atx + shift
. - shiftedShape - Variable in class org.apache.commons.math3.distribution.GammaDistribution
- ShiftInfo() - Constructor for class org.apache.commons.math3.linear.SchurTransformer.ShiftInfo
- shiftLeft() - Method in class org.apache.commons.math3.dfp.Dfp
-
Shift the mantissa left, and adjust the exponent to compensate.
- shiftRight() - Method in class org.apache.commons.math3.dfp.Dfp
-
Shift the mantissa right, and adjust the exponent to compensate.
- SHORTCUT - Static variable in class org.apache.commons.math3.analysis.function.Sinc
-
Value below which the computations are done using Taylor series.
- Short Table of manual calculation for N=8 - Search tag in org.apache.commons.math3.transform.FastHadamardTransformer.fht(double[])
- Section
- shortValue() - Method in class org.apache.commons.math3.util.Decimal64
-
The current implementation performs casting to a
short
. - shouldContract() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Returns true if the internal storage array has too many unused storage positions.
- shouldGrowTable() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Check if tables should grow due to increased size.
- shouldGrowTable() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Check if tables should grow due to increased size.
- shuffle() - Method in class org.apache.commons.math3.random.ISAACRandom
-
Shuffle array.
- shuffle(int[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Shuffle the entries of the given array.
- shuffle(int[], int, MathArrays.Position) - Static method in class org.apache.commons.math3.util.MathArrays
-
Shuffle the entries of the given array.
- shuffle(int[], int, MathArrays.Position, RandomGenerator) - Static method in class org.apache.commons.math3.util.MathArrays
-
Shuffle the entries of the given array, using the Fisher–Yates algorithm.
- shuffle(int[], RandomGenerator) - Static method in class org.apache.commons.math3.util.MathArrays
-
Shuffle the entries of the given array.
- side(Hyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Deprecated.
- side(Hyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
-
Deprecated.
- side(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
-
Deprecated.as of 3.6, this method which was only intended for internal use is not used anymore
- side(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
-
Deprecated.as of 3.6, replaced with
SubHyperplane.split(Hyperplane)
.SubHyperplane.SplitSubHyperplane.getSide()
- side(Arc) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
-
Deprecated.as of 3.6, replaced with
ArcsSet.split(Arc)
.ArcsSet.Split.getSide()
- Side - Enum in org.apache.commons.math3.geometry.partitioning
-
Enumerate representing the location of an element with respect to an
hyperplane
of a space. - Side() - Constructor for enum org.apache.commons.math3.geometry.partitioning.Side
- sigma - Variable in class org.apache.commons.math3.fitting.GaussianCurveFitter.ParameterGuesser
-
Standard deviation.
- sigma - Variable in class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
-
Deprecated.Standard deviation.
- sigma - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Overall standard deviation - search volume.
- sigma - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.Sigma
-
Sigma values.
- sigma - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
-
Shrinkage coefficient.
- sigma - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Overall standard deviation - search volume.
- sigma - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.Sigma
-
Deprecated.Sigma values.
- sigma - Variable in class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
-
Deprecated.Shrinkage coefficient.
- sigma - Variable in class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
-
Deprecated.Standard deviation.
- sigma - Variable in class org.apache.commons.math3.random.ValueServer
-
Standard deviation for use with GAUSSIAN_MODE.
- Sigma(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.Sigma
- Sigma(double[]) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer.Sigma
-
Deprecated.
- sigmoid - Variable in class org.apache.commons.math3.ml.neuralnet.sofm.util.QuasiSigmoidDecayFunction
-
Sigmoid.
- Sigmoid - Class in org.apache.commons.math3.analysis.function
-
Sigmoid function.
- Sigmoid() - Constructor for class org.apache.commons.math3.analysis.function.Sigmoid
-
Usual sigmoid function, where the lower asymptote is 0 and the higher asymptote is 1.
- Sigmoid(double, double) - Constructor for class org.apache.commons.math3.analysis.function.Sigmoid
-
Sigmoid function.
- Sigmoid.Parametric - Class in org.apache.commons.math3.analysis.function
-
Parametric function where the input array contains the parameters of the
sigmoid function
, ordered as follows: Lower asymptote Higher asymptote - sign - Variable in class org.apache.commons.math3.dfp.Dfp
-
Sign bit: 1 for positive, -1 for negative.
- sign(long) - Static method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Deprecated.Extract the sign from the bits of a double.
- SIGN_MASK - Static variable in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
-
Deprecated.Sign bit mask.
- SIGNIFICANCE_LEVEL - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- signum() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Compute the signum of the instance.
- signum() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Compute the signum of the instance.
- signum() - Method in class org.apache.commons.math3.dfp.Dfp
-
Compute the signum of the instance.
- signum() - Method in interface org.apache.commons.math3.RealFieldElement
-
Compute the signum of the instance.
- signum() - Method in class org.apache.commons.math3.util.Decimal64
-
Compute the signum of the instance.
- signum(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the signum of a number.
- signum(float) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the signum of a number.
- Signum - Class in org.apache.commons.math3.analysis.function
-
signum
function. - Signum() - Constructor for class org.apache.commons.math3.analysis.function.Signum
- SIMPLE_MESSAGE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- SimpleBounds - Class in org.apache.commons.math3.optim
-
Simple optimization constraints: lower and upper bounds.
- SimpleBounds - Class in org.apache.commons.math3.optimization
-
Deprecated.As of 3.1 (to be removed in 4.0).
- SimpleBounds(double[], double[]) - Constructor for class org.apache.commons.math3.optim.SimpleBounds
- SimpleBounds(double[], double[]) - Constructor for class org.apache.commons.math3.optimization.SimpleBounds
-
Deprecated.
- SimpleCurveFitter - Class in org.apache.commons.math3.fitting
-
Fits points to a user-defined
function
. - SimpleCurveFitter(ParametricUnivariateFunction, double[], int) - Constructor for class org.apache.commons.math3.fitting.SimpleCurveFitter
-
Contructor used by the factory methods.
- SimplePointChecker<PAIR> - Class in org.apache.commons.math3.optim
-
Simple implementation of the
ConvergenceChecker
interface using only point coordinates. - SimplePointChecker<PAIR> - Class in org.apache.commons.math3.optimization
-
Deprecated.As of 3.1 (to be removed in 4.0).
- SimplePointChecker() - Constructor for class org.apache.commons.math3.optimization.SimplePointChecker
-
Deprecated.
- SimplePointChecker(double, double) - Constructor for class org.apache.commons.math3.optim.SimplePointChecker
-
Build an instance with specified thresholds.
- SimplePointChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.SimplePointChecker
-
Deprecated.Build an instance with specified thresholds.
- SimplePointChecker(double, double, int) - Constructor for class org.apache.commons.math3.optim.SimplePointChecker
-
Builds an instance with specified thresholds.
- SimplePointChecker(double, double, int) - Constructor for class org.apache.commons.math3.optimization.SimplePointChecker
-
Deprecated.Builds an instance with specified thresholds.
- SimpleRegression - Class in org.apache.commons.math3.stat.regression
-
Estimates an ordinary least squares regression model with one independent variable.
- SimpleRegression() - Constructor for class org.apache.commons.math3.stat.regression.SimpleRegression
-
Create an empty SimpleRegression instance
- SimpleRegression(boolean) - Constructor for class org.apache.commons.math3.stat.regression.SimpleRegression
-
Create a SimpleRegression instance, specifying whether or not to estimate an intercept.
- SimpleUnivariateValueChecker - Class in org.apache.commons.math3.optim.univariate
-
Simple implementation of the
ConvergenceChecker
interface that uses only objective function values. - SimpleUnivariateValueChecker - Class in org.apache.commons.math3.optimization.univariate
-
Deprecated.As of 3.1 (to be removed in 4.0).
- SimpleUnivariateValueChecker() - Constructor for class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker
-
Deprecated.
- SimpleUnivariateValueChecker(double, double) - Constructor for class org.apache.commons.math3.optim.univariate.SimpleUnivariateValueChecker
-
Build an instance with specified thresholds.
- SimpleUnivariateValueChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker
-
Deprecated.Build an instance with specified thresholds.
- SimpleUnivariateValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optim.univariate.SimpleUnivariateValueChecker
-
Builds an instance with specified thresholds.
- SimpleUnivariateValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker
-
Deprecated.Builds an instance with specified thresholds.
- SimpleValueChecker - Class in org.apache.commons.math3.optim
-
Simple implementation of the
ConvergenceChecker
interface using only objective function values. - SimpleValueChecker - Class in org.apache.commons.math3.optimization
-
Deprecated.As of 3.1 (to be removed in 4.0).
- SimpleValueChecker() - Constructor for class org.apache.commons.math3.optimization.SimpleValueChecker
-
Deprecated.
- SimpleValueChecker(double, double) - Constructor for class org.apache.commons.math3.optim.SimpleValueChecker
-
Build an instance with specified thresholds.
- SimpleValueChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.SimpleValueChecker
-
Deprecated.Build an instance with specified thresholds.
- SimpleValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optim.SimpleValueChecker
-
Builds an instance with specified thresholds.
- SimpleValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optimization.SimpleValueChecker
-
Deprecated.Builds an instance with specified thresholds.
- SimpleVectorValueChecker - Class in org.apache.commons.math3.optim
-
Simple implementation of the
ConvergenceChecker
interface using only objective function values. - SimpleVectorValueChecker - Class in org.apache.commons.math3.optimization
-
Deprecated.As of 3.1 (to be removed in 4.0).
- SimpleVectorValueChecker() - Constructor for class org.apache.commons.math3.optimization.SimpleVectorValueChecker
-
Deprecated.
- SimpleVectorValueChecker(double, double) - Constructor for class org.apache.commons.math3.optim.SimpleVectorValueChecker
-
Build an instance with specified thresholds.
- SimpleVectorValueChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.SimpleVectorValueChecker
-
Deprecated.Build an instance with specified thresholds.
- SimpleVectorValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optim.SimpleVectorValueChecker
-
Builds an instance with specified tolerance thresholds and iteration count.
- SimpleVectorValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optimization.SimpleVectorValueChecker
-
Deprecated.Builds an instance with specified tolerance thresholds and iteration count.
- simplex - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
Simplex.
- simplex - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer
-
Simplex update rule.
- simplex - Variable in class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.Simplex.
- simplex - Variable in class org.apache.commons.math3.optimization.direct.SimplexOptimizer
-
Deprecated.Simplex.
- SIMPLEX_NEED_ONE_POINT - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- SimplexOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
-
This class implements simplex-based direct search optimization.
- SimplexOptimizer - Class in org.apache.commons.math3.optimization.direct
-
Deprecated.As of 3.1 (to be removed in 4.0).
- SimplexOptimizer() - Constructor for class org.apache.commons.math3.optimization.direct.SimplexOptimizer
-
Deprecated.
- SimplexOptimizer(double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer
- SimplexOptimizer(double, double) - Constructor for class org.apache.commons.math3.optimization.direct.SimplexOptimizer
-
Deprecated.
- SimplexOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer
- SimplexOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.SimplexOptimizer
-
Deprecated.
- SimplexSolver - Class in org.apache.commons.math3.optim.linear
-
Solves a linear problem using the "Two-Phase Simplex" method.
- SimplexSolver - Class in org.apache.commons.math3.optimization.linear
-
Deprecated.As of 3.1 (to be removed in 4.0).
- SimplexSolver() - Constructor for class org.apache.commons.math3.optim.linear.SimplexSolver
-
Builds a simplex solver with default settings.
- SimplexSolver() - Constructor for class org.apache.commons.math3.optimization.linear.SimplexSolver
-
Deprecated.Build a simplex solver with default settings.
- SimplexSolver(double) - Constructor for class org.apache.commons.math3.optim.linear.SimplexSolver
-
Builds a simplex solver with a specified accepted amount of error.
- SimplexSolver(double, int) - Constructor for class org.apache.commons.math3.optim.linear.SimplexSolver
-
Builds a simplex solver with a specified accepted amount of error.
- SimplexSolver(double, int) - Constructor for class org.apache.commons.math3.optimization.linear.SimplexSolver
-
Deprecated.Build a simplex solver with a specified accepted amount of error
- SimplexSolver(double, int, double) - Constructor for class org.apache.commons.math3.optim.linear.SimplexSolver
-
Builds a simplex solver with a specified accepted amount of error.
- SimplexTableau - Class in org.apache.commons.math3.optim.linear
-
A tableau for use in the Simplex method.
- SimplexTableau - Class in org.apache.commons.math3.optimization.linear
-
Deprecated.As of 3.1 (to be removed in 4.0).
- SimplexTableau(LinearObjectiveFunction, Collection<LinearConstraint>, GoalType, boolean, double) - Constructor for class org.apache.commons.math3.optim.linear.SimplexTableau
-
Builds a tableau for a linear problem.
- SimplexTableau(LinearObjectiveFunction, Collection<LinearConstraint>, GoalType, boolean, double, int) - Constructor for class org.apache.commons.math3.optim.linear.SimplexTableau
-
Build a tableau for a linear problem.
- SimplexTableau(LinearObjectiveFunction, Collection<LinearConstraint>, GoalType, boolean, double) - Constructor for class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Build a tableau for a linear problem.
- SimplexTableau(LinearObjectiveFunction, Collection<LinearConstraint>, GoalType, boolean, double, int) - Constructor for class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Build a tableau for a linear problem.
- SIMPSON_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.SimpsonIntegrator
-
Maximal number of iterations for Simpson.
- SimpsonIntegrator - Class in org.apache.commons.math3.analysis.integration
-
Implements Simpson's Rule for integration of real univariate functions.
- SimpsonIntegrator() - Constructor for class org.apache.commons.math3.analysis.integration.SimpsonIntegrator
-
Construct an integrator with default settings.
- SimpsonIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.SimpsonIntegrator
-
Build a Simpson integrator with given accuracies and iterations counts.
- SimpsonIntegrator(int, int) - Constructor for class org.apache.commons.math3.analysis.integration.SimpsonIntegrator
-
Build a Simpson integrator with given iteration counts.
- sin - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Sine of the line angle.
- sin() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Sine operation.
- sin() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Sine operation.
- sin() - Method in class org.apache.commons.math3.complex.Complex
-
Compute the sine of this complex number.
- sin() - Method in class org.apache.commons.math3.dfp.Dfp
-
Sine operation.
- sin() - Method in interface org.apache.commons.math3.RealFieldElement
-
Sine operation.
- sin() - Method in class org.apache.commons.math3.util.Decimal64
-
Sine operation.
- sin(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Sine function.
- sin(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute sine of a derivative structure.
- sin(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
computes the sine of the argument.
- Sin - Class in org.apache.commons.math3.analysis.function
-
Sine function.
- Sin() - Constructor for class org.apache.commons.math3.analysis.function.Sin
- Sinc - Class in org.apache.commons.math3.analysis.function
-
Sinc function, defined by
- Sinc() - Constructor for class org.apache.commons.math3.analysis.function.Sinc
-
The sinc function,
sin(x) / x
. - Sinc(boolean) - Constructor for class org.apache.commons.math3.analysis.function.Sinc
-
Instantiates the sinc function.
- SINE_TABLE_A - Static variable in class org.apache.commons.math3.util.FastMath
-
Sine table (high bits).
- SINE_TABLE_B - Static variable in class org.apache.commons.math3.util.FastMath
-
Sine table (low bits).
- SINE_TABLE_LEN - Static variable in class org.apache.commons.math3.util.FastMath
-
Sine, Cosine, Tangent tables are for 0, 1/8, 2/8, ...
- singcheck() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
The method which checks for singularities and then eliminates the offending columns.
- singleStep(FirstOrderDifferentialEquations, double, double[], double) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaIntegrator
-
Fast computation of a single step of ODE integration.
- singleStep(FirstOrderFieldDifferentialEquations<T>, T, T[], T) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaFieldIntegrator
-
Fast computation of a single step of ODE integration.
- singleton - Variable in class org.apache.commons.math3.util.Combinations.SingletonIterator
-
Singleton array
- SingletonIterator(int[]) - Constructor for class org.apache.commons.math3.util.Combinations.SingletonIterator
-
Create a singleton iterator providing the given array.
- singletons - Variable in class org.apache.commons.math3.distribution.EnumeratedDistribution
-
List of random variable values.
- singular - Variable in class org.apache.commons.math3.linear.FieldLUDecomposition
-
Singularity indicator.
- singular - Variable in class org.apache.commons.math3.linear.FieldLUDecomposition.Solver
-
Singularity indicator.
- singular - Variable in class org.apache.commons.math3.linear.LUDecomposition
-
Singularity indicator.
- singular - Variable in class org.apache.commons.math3.linear.LUDecomposition.Solver
-
Singularity indicator.
- SINGULAR_MATRIX - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- SINGULAR_OPERATOR - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- SINGULARITY_THRESHOLD - Static variable in class org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer
-
The singularity threshold for matrix decompositions.
- SingularMatrixException - Exception Class in org.apache.commons.math3.linear
-
Exception to be thrown when a non-singular matrix is expected.
- SingularMatrixException() - Constructor for exception class org.apache.commons.math3.linear.SingularMatrixException
-
Construct an exception.
- SingularOperatorException - Exception Class in org.apache.commons.math3.linear
-
Exception to be thrown when trying to invert a singular operator.
- SingularOperatorException() - Constructor for exception class org.apache.commons.math3.linear.SingularOperatorException
-
Creates a new instance of this class.
- singularProjection(Point<S>, Hyperplane<S>, Region<T>) - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryProjector
-
Get the projection to the closest boundary singular point.
- SingularValueDecomposition - Class in org.apache.commons.math3.linear
-
Calculates the compact Singular Value Decomposition of a matrix.
- SingularValueDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.SingularValueDecomposition
-
Calculates the compact Singular Value Decomposition of the given matrix.
- SingularValueDecomposition.Solver - Class in org.apache.commons.math3.linear
-
Specialized solver.
- singularValues - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Computed singular values.
- sinh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Hyperbolic sine operation.
- sinh() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Hyperbolic sine operation.
- sinh() - Method in class org.apache.commons.math3.complex.Complex
-
Compute the hyperbolic sine of this complex number.
- sinh() - Method in class org.apache.commons.math3.dfp.Dfp
-
Hyperbolic sine operation.
- sinh() - Method in interface org.apache.commons.math3.RealFieldElement
-
Hyperbolic sine operation.
- sinh() - Method in class org.apache.commons.math3.util.Decimal64
-
Hyperbolic sine operation.
- sinh(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the hyperbolic sine of a number.
- sinh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute hyperbolic sine of a derivative structure.
- Sinh - Class in org.apache.commons.math3.analysis.function
-
Hyperbolic sine function.
- Sinh() - Constructor for class org.apache.commons.math3.analysis.function.Sinh
- sinInternal(Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
Computes sin(a) Used when 0 invalid input: '<' a invalid input: '<' pi/4.
- sinQ(double, double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute sine over the first quadrant (0 invalid input: '<' x invalid input: '<' pi/2).
- SIXTEEN - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Constant 16.
- SIXTEEN - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Constant 16.
- size - Variable in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere
-
Number of surface elements.
- size - Variable in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Size of the instance.
- size - Variable in class org.apache.commons.math3.ml.neuralnet.Neuron
-
Length of the feature set.
- size - Variable in class org.apache.commons.math3.ml.neuralnet.oned.NeuronString
-
Number of neurons.
- size - Variable in class org.apache.commons.math3.util.IntegerSequence.Range
-
Number of integers contained in this range.
- size - Variable in class org.apache.commons.math3.util.MultidimensionalCounter
-
Counter sizes.
- size - Variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Current size of the map.
- size - Variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Current size of the map.
- size() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Deprecated.Get the number of elements of the tree rooted at this node.
- size() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
-
Deprecated.Get the number of elements of the tree.
- size() - Method in class org.apache.commons.math3.util.IntegerSequence.Range
-
Gets the number of elements contained in the range.
- size() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Get the number of elements stored in the map.
- size() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Get the number of elements stored in the map.
- SIZE - Static variable in class org.apache.commons.math3.random.ISAACRandom
-
Size of rsl[] and mem[]
- SIZE_L - Static variable in class org.apache.commons.math3.random.ISAACRandom
-
Log of size of rsl[] and mem[]
- sizes - Variable in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Number of partial derivatives (including the single 0 order derivative element).
- skew - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
-
Deprecated.Skew factor.
- Skew() - Constructor for enum org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Skew
-
Deprecated.
- Skewness - Class in org.apache.commons.math3.stat.descriptive.moment
-
Computes the skewness of the available values.
- Skewness() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Skewness
-
Constructs a Skewness
- Skewness(Skewness) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Skewness
-
Copy constructor, creates a new
Skewness
identical to theoriginal
- Skewness(ThirdMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Skewness
-
Constructs a Skewness with an external moment
- skewnessImpl - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Skewness statistic implementation - can be reset by setter.
- skipTo(int) - Method in class org.apache.commons.math3.random.HaltonSequenceGenerator
-
Skip to the i-th point in the Halton sequence.
- skipTo(int) - Method in class org.apache.commons.math3.random.SobolSequenceGenerator
-
Skip to the i-th point in the Sobol sequence.
- slowCos(double, double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
-
For x between 0 and pi/4 compute cosine using Talor series cos(x) = 1 - x^2/2! + x^4/4! ...
- slowexp(double, double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
-
For x between 0 and 1, returns exp(x), uses extended precision
- slowLog(double) - Static method in class org.apache.commons.math3.util.FastMathCalc
-
xi in the range of [1, 2].
- slowSin(double, double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
-
For x between 0 and pi/4 compute sine using Taylor expansion: sin(x) = x - x^3/3! + x^5/5! - x^7/7! ...
- SMALL_SAMPLE_PRODUCT - Static variable in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
-
Deprecated.
- SmallPrimes - Class in org.apache.commons.math3.primes
-
Utility methods to work on primes within the
int
range. - SmallPrimes() - Constructor for class org.apache.commons.math3.primes.SmallPrimes
-
Hide utility class.
- smallTrialDivision(int, List<Integer>) - Static method in class org.apache.commons.math3.primes.SmallPrimes
-
Extract small factors.
- smartAdd(double, double) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
Adds to number a and b such that the contamination due to numerical smallness of one addend does not corrupt the sum.
- smooth(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
-
Compute a loess fit on the data at the original abscissae.
- smooth(double[], double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
-
Compute a weighted loess fit on the data at the original abscissae.
- SmoothedDataHistogram - Class in org.apache.commons.math3.ml.neuralnet.twod.util
-
Visualization of high-dimensional data projection on a 2D-map.
- SmoothedDataHistogram(int, DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.neuralnet.twod.util.SmoothedDataHistogram
- smoothingBins - Variable in class org.apache.commons.math3.ml.neuralnet.twod.util.SmoothedDataHistogram
-
Smoothing parameter.
- SmoothingPolynomialBicubicSplineInterpolator - Class in org.apache.commons.math3.analysis.interpolation
-
Deprecated.To be removed in 4.0 (see MATH-1166).
- SmoothingPolynomialBicubicSplineInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
-
Deprecated.Default constructor.
- SmoothingPolynomialBicubicSplineInterpolator(int) - Constructor for class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
-
Deprecated.
- SmoothingPolynomialBicubicSplineInterpolator(int, int) - Constructor for class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
-
Deprecated.
- SNAN - Static variable in class org.apache.commons.math3.dfp.Dfp
-
Indicator value for signaling NaN.
- snprod - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The value of s[1] * ...
- SobolSequenceGenerator - Class in org.apache.commons.math3.random
-
Implementation of a Sobol sequence.
- SobolSequenceGenerator(int) - Constructor for class org.apache.commons.math3.random.SobolSequenceGenerator
-
Construct a new Sobol sequence generator for the given space dimension.
- SobolSequenceGenerator(int, InputStream) - Constructor for class org.apache.commons.math3.random.SobolSequenceGenerator
-
Construct a new Sobol sequence generator for the given space dimension with direction vectors loaded from the given stream.
- softCurrentState - Variable in class org.apache.commons.math3.ode.sampling.AbstractFieldStepInterpolator
-
Soft current state.
- softCurrentTime - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
soft current time
- softPreviousState - Variable in class org.apache.commons.math3.ode.sampling.AbstractFieldStepInterpolator
-
Soft previous state.
- softPreviousTime - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
soft previous time
- solutionCallback - Variable in class org.apache.commons.math3.optim.linear.SimplexSolver
-
The solution callback to access the best solution found so far in case the optimizer fails to find an optimal solution within the iteration limits.
- SolutionCallback - Class in org.apache.commons.math3.optim.linear
-
A callback object that can be provided to a linear optimizer to keep track of the best solution found.
- SolutionCallback() - Constructor for class org.apache.commons.math3.optim.linear.SolutionCallback
- solve(double, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.MullerSolver
-
Find a real root in the given interval.
- solve(int, FUNC, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Solve for a zero in the vicinity of
startValue
. - solve(int, FUNC, double) - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
-
Solve for a zero in the vicinity of
startValue
. - solve(int, FUNC, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Solve for a zero root in the given interval.
- solve(int, FUNC, double, double) - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
-
Solve for a zero root in the given interval.
- solve(int, FUNC, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Solve for a zero in the given interval, start at
startValue
. - solve(int, FUNC, double, double, double) - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
-
Solve for a zero in the given interval, start at
startValue
. - solve(int, FUNC, double, double, double, AllowedSolution) - Method in interface org.apache.commons.math3.analysis.solvers.BracketedUnivariateSolver
-
Solve for a zero in the given interval, start at
startValue
. - solve(int, FUNC, double, double, AllowedSolution) - Method in interface org.apache.commons.math3.analysis.solvers.BracketedUnivariateSolver
-
Solve for a zero in the given interval.
- solve(int, DifferentiableUnivariateFunction, double, double) - Method in class org.apache.commons.math3.analysis.solvers.NewtonSolver
-
Deprecated.Find a zero near the midpoint of
min
andmax
. - solve(int, UnivariateDifferentiableFunction, double, double) - Method in class org.apache.commons.math3.analysis.solvers.NewtonRaphsonSolver
-
Find a zero near the midpoint of
min
andmax
. - solve(int, RealFieldUnivariateFunction<T>, T, T, AllowedSolution) - Method in interface org.apache.commons.math3.analysis.solvers.BracketedRealFieldUnivariateSolver
-
Solve for a zero in the given interval.
- solve(int, RealFieldUnivariateFunction<T>, T, T, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.FieldBracketingNthOrderBrentSolver
-
Solve for a zero in the given interval.
- solve(int, RealFieldUnivariateFunction<T>, T, T, T, AllowedSolution) - Method in interface org.apache.commons.math3.analysis.solvers.BracketedRealFieldUnivariateSolver
-
Solve for a zero in the given interval, start at
startValue
. - solve(int, RealFieldUnivariateFunction<T>, T, T, T, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.FieldBracketingNthOrderBrentSolver
-
Solve for a zero in the given interval, start at
startValue
. - solve(int, UnivariateFunction, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
-
Solve for a zero in the given interval, start at
startValue
. - solve(int, UnivariateFunction, double, double, double, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
-
Solve for a zero in the given interval, start at
startValue
. - solve(int, UnivariateFunction, double, double, double, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
-
Solve for a zero in the given interval, start at
startValue
. - solve(int, UnivariateFunction, double, double, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
-
Solve for a zero in the given interval.
- solve(int, UnivariateFunction, double, double, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
-
Solve for a zero in the given interval.
- solve(int, UnivariateDfpFunction, Dfp, Dfp, AllowedSolution) - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
-
Deprecated.Solve for a zero in the given interval.
- solve(int, UnivariateDfpFunction, Dfp, Dfp, Dfp, AllowedSolution) - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
-
Deprecated.Solve for a zero in the given interval, start at
startValue
. - solve(UnivariateFunction, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
-
Convenience method to find a zero of a univariate real function.
- solve(UnivariateFunction, double, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
-
Convenience method to find a zero of a univariate real function.
- solve(Complex[], Complex) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver.ComplexSolver
-
Find a complex root for the polynomial with the given coefficients, starting from the given initial value.
- solve(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.FieldLUDecomposition.Solver
-
Solve the linear equation A × X = B.
- solve(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldDecompositionSolver
-
Solve the linear equation A × X = B for matrices A.
- solve(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.FieldLUDecomposition.Solver
-
Solve the linear equation A × X = B for matrices A.
- solve(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldDecompositionSolver
-
Solve the linear equation A × X = B for matrices A.
- solve(FieldVector<T>) - Method in class org.apache.commons.math3.linear.FieldLUDecomposition.Solver
-
Solve the linear equation A × X = B for matrices A.
- solve(RealLinearOperator, RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
-
Returns an estimate of the solution to the linear system A · x = b.
- solve(RealLinearOperator, RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
-
Returns an estimate of the solution to the linear system A · x = b.
- solve(RealLinearOperator, RealLinearOperator, RealVector, boolean, double) - Method in class org.apache.commons.math3.linear.SymmLQ
-
Returns an estimate of the solution to the linear system (A - shift · I) · x = b.
- solve(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
-
Returns an estimate of the solution to the linear system A · x = b.
- solve(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
-
Returns an estimate of the solution to the linear system A · x = b.
- solve(RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.IterativeLinearSolver
-
Returns an estimate of the solution to the linear system A · x = b.
- solve(RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
-
Returns an estimate of the solution to the linear system A · x = b.
- solve(RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
-
Returns an estimate of the solution to the linear system A · x = b.
- solve(RealLinearOperator, RealVector, boolean, double) - Method in class org.apache.commons.math3.linear.SymmLQ
-
Returns the solution to the system (A - shift · I) · x = b.
- solve(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.IterativeLinearSolver
-
Returns an estimate of the solution to the linear system A · x = b.
- solve(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
-
Returns an estimate of the solution to the linear system A · x = b.
- solve(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
-
Returns an estimate of the solution to the linear system A · x = b.
- solve(RealMatrix) - Method in class org.apache.commons.math3.linear.CholeskyDecomposition.Solver
-
Solve the linear equation A × X = B for matrices A.
- solve(RealMatrix) - Method in interface org.apache.commons.math3.linear.DecompositionSolver
-
Solve the linear equation A × X = B for matrices A.
- solve(RealMatrix) - Method in class org.apache.commons.math3.linear.EigenDecomposition.Solver
-
Solve the linear equation A × X = B for matrices A.
- solve(RealMatrix) - Method in class org.apache.commons.math3.linear.LUDecomposition.Solver
-
Solve the linear equation A × X = B for matrices A.
- solve(RealMatrix) - Method in class org.apache.commons.math3.linear.QRDecomposition.Solver
-
Solve the linear equation A × X = B for matrices A.
- solve(RealMatrix) - Method in class org.apache.commons.math3.linear.RRQRDecomposition.Solver
-
Solve the linear equation A × X = B for matrices A.
- solve(RealMatrix) - Method in class org.apache.commons.math3.linear.SingularValueDecomposition.Solver
-
Solve the linear equation A × X = B in least square sense.
- solve(RealMatrix, RealVector) - Method in enum org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer.Decomposition
-
Solve the linear least squares problem Jx=r.
- solve(RealVector) - Method in class org.apache.commons.math3.linear.CholeskyDecomposition.Solver
-
Solve the linear equation A × X = B for matrices A.
- solve(RealVector) - Method in interface org.apache.commons.math3.linear.DecompositionSolver
-
Solve the linear equation A × X = B for matrices A.
- solve(RealVector) - Method in class org.apache.commons.math3.linear.EigenDecomposition.Solver
-
Solves the linear equation A × X = B for symmetric matrices A.
- solve(RealVector) - Method in class org.apache.commons.math3.linear.LUDecomposition.Solver
-
Solve the linear equation A × X = B for matrices A.
- solve(RealVector) - Method in class org.apache.commons.math3.linear.QRDecomposition.Solver
-
Solve the linear equation A × X = B for matrices A.
- solve(RealVector) - Method in class org.apache.commons.math3.linear.RRQRDecomposition.Solver
-
Solve the linear equation A × X = B for matrices A.
- solve(RealVector) - Method in class org.apache.commons.math3.linear.SingularValueDecomposition.Solver
-
Solve the linear equation A × X = B in least square sense.
- solveAll(Complex[], Complex) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver.ComplexSolver
-
Find all complex roots for the polynomial with the given coefficients, starting from the given initial value.
- solveAllComplex(double[], double) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver
-
Find all complex roots for the polynomial with the given coefficients, starting from the given initial value.
- solveAllComplex(double[], double, int) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver
-
Find all complex roots for the polynomial with the given coefficients, starting from the given initial value.
- solveComplex(double[], double) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver
-
Find a complex root for the polynomial with the given coefficients, starting from the given initial value.
- solveComplex(double[], double, int) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver
-
Find a complex root for the polynomial with the given coefficients, starting from the given initial value.
- solvedCols - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Deprecated.Number of solved point.
- solvedCols - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.Number of solved point.
- solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.ConjugateGradient
-
Returns an estimate of the solution to the linear system A · x = b.
- solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
-
Returns an estimate of the solution to the linear system A · x = b.
- solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
-
Returns an estimate of the solution to the linear system A · x = b.
- solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector, boolean, double) - Method in class org.apache.commons.math3.linear.SymmLQ
-
Returns an estimate of the solution to the linear system (A - shift · I) · x = b.
- solveInPlace(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.IterativeLinearSolver
-
Returns an estimate of the solution to the linear system A · x = b.
- solveInPlace(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
-
Returns an estimate of the solution to the linear system A · x = b.
- solveInPlace(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
-
Returns an estimate of the solution to the linear system A · x = b.
- solveInverseCumulativeProbability(double, int, int) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
-
This is a utility function used by
AbstractIntegerDistribution.inverseCumulativeProbability(double)
. - solveLowerTriangularSystem(RealMatrix, RealVector) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Solve a system of composed of a Lower Triangular Matrix
RealMatrix
. - solvePhase1(SimplexTableau) - Method in class org.apache.commons.math3.optim.linear.SimplexSolver
-
Solves Phase 1 of the Simplex method.
- solvePhase1(SimplexTableau) - Method in class org.apache.commons.math3.optimization.linear.SimplexSolver
-
Deprecated.Solves Phase 1 of the Simplex method.
- solver - Variable in class org.apache.commons.math3.ode.events.EventState
-
Root-finding algorithm to use to detect state events.
- solver - Variable in class org.apache.commons.math3.ode.events.FieldEventState
-
Root-finding algorithm to use to detect state events.
- solver - Variable in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
-
Deprecated.solver to use in the line search (may be null).
- Solver(double[][]) - Constructor for class org.apache.commons.math3.linear.CholeskyDecomposition.Solver
-
Build a solver from decomposed matrix.
- Solver(double[][], double[], double) - Constructor for class org.apache.commons.math3.linear.QRDecomposition.Solver
-
Build a solver from decomposed matrix.
- Solver(double[][], int[], boolean) - Constructor for class org.apache.commons.math3.linear.LUDecomposition.Solver
-
Build a solver from decomposed matrix.
- Solver(double[], double[], ArrayRealVector[]) - Constructor for class org.apache.commons.math3.linear.EigenDecomposition.Solver
-
Builds a solver from decomposed matrix.
- Solver(double[], RealMatrix, RealMatrix, boolean, double) - Constructor for class org.apache.commons.math3.linear.SingularValueDecomposition.Solver
-
Build a solver from decomposed matrix.
- Solver(Field<T>, T[][], int[], boolean) - Constructor for class org.apache.commons.math3.linear.FieldLUDecomposition.Solver
-
Build a solver from decomposed matrix.
- Solver(DecompositionSolver, RealMatrix) - Constructor for class org.apache.commons.math3.linear.RRQRDecomposition.Solver
-
Build a solver from decomposed matrix.
- SOLVER_DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.AbstractRealDistribution
-
Default accuracy.
- solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.AbstractRealDistribution
-
Solver absolute accuracy for inverse cumulative computation
- solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.BetaDistribution
-
Inverse cumulative probability accuracy.
- solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.CauchyDistribution
-
Inverse cumulative probability accuracy
- solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.ChiSquaredDistribution
-
Inverse cumulative probability accuracy
- solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.ExponentialDistribution
-
Inverse cumulative probability accuracy.
- solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.FDistribution
-
Inverse cumulative probability accuracy.
- solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.GammaDistribution
-
Inverse cumulative probability accuracy.
- solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.LogNormalDistribution
-
Inverse cumulative probability accuracy.
- solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.NormalDistribution
-
Inverse cumulative probability accuracy.
- solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.ParetoDistribution
-
Inverse cumulative probability accuracy.
- solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.TDistribution
-
Inverse cumulative probability accuracy.
- solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.TriangularDistribution
-
Inverse cumulative probability accuracy.
- solverAbsoluteAccuracy - Variable in class org.apache.commons.math3.distribution.WeibullDistribution
-
Inverse cumulative probability accuracy.
- solveUpperTriangularSystem(RealMatrix, RealVector) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
Solver a system composed of an Upper Triangular Matrix
RealMatrix
. - sort(double[], Iterable<Neuron>, DistanceMeasure) - Static method in class org.apache.commons.math3.ml.neuralnet.MapUtils
-
Creates a list of neurons sorted in increased order of the distance to the given
features
. - sortedIndices(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Sorts fitness values.
- sortedIndices(double[]) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Sorts fitness values.
- sortedRepresentation - Variable in class org.apache.commons.math3.genetics.RandomKey
-
Cache of sorted representation (unmodifiable).
- sortInPlace(double[], double[]...) - Static method in class org.apache.commons.math3.util.MathArrays
-
Sort an array in ascending order in place and perform the same reordering of entries on other arrays.
- sortInPlace(double[], MathArrays.OrderDirection, double[]...) - Static method in class org.apache.commons.math3.util.MathArrays
-
Sort an array in place and perform the same reordering of entries on other arrays.
- sortObservations(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math3.fitting.GaussianCurveFitter.ParameterGuesser
-
Sort the observations.
- sortObservations(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math3.fitting.HarmonicCurveFitter.ParameterGuesser
-
Sort the observations with respect to the abscissa.
- sortObservations(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
-
Deprecated.Sort the observations.
- sortObservations(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.fitting.HarmonicFitter.ParameterGuesser
-
Deprecated.Sort the observations with respect to the abscissa.
- sortObservations(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
-
Deprecated.Sort the observations.
- sortObservations(WeightedObservedPoint[]) - Method in class org.apache.commons.math3.optimization.fitting.HarmonicFitter.ParameterGuesser
-
Deprecated.Sort the observations with respect to the abscissa.
- sortPairs(double[], double[]) - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
-
Deprecated.Sort the optima from best to worst, followed by
null
elements. - sortPairs(GoalType) - Method in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
-
Sort the optima from best to worst, followed by
null
elements. - sortPairs(GoalType) - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
-
Deprecated.Sort the optima from best to worst, followed by
null
elements. - sortPairs(GoalType) - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
-
Deprecated.Sort the optima from best to worst, followed by
null
elements. - source - Variable in class org.apache.commons.math3.exception.util.DummyLocalizable
-
Source string.
- sourceFormat - Variable in enum org.apache.commons.math3.exception.util.LocalizedFormats
-
Source English format.
- Space - Interface in org.apache.commons.math3.geometry
-
This interface represents a generic space, with affine and vectorial counterparts.
- SparseEntryIterator() - Constructor for class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
-
Simple constructor.
- SparseFieldMatrix<T> - Class in org.apache.commons.math3.linear
-
Sparse matrix implementation based on an open addressed map.
- SparseFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldMatrix
-
Create a matrix with no data.
- SparseFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.SparseFieldMatrix
-
Create a new SparseFieldMatrix
with the supplied row and column dimensions. - SparseFieldMatrix(FieldMatrix<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldMatrix
-
Generic copy constructor.
- SparseFieldMatrix(SparseFieldMatrix<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldMatrix
-
Copy constructor.
- SparseFieldVector<T> - Class in org.apache.commons.math3.linear
-
This class implements the
FieldVector
interface with aOpenIntToFieldHashMap
backing store. - SparseFieldVector(Field<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
-
Build a 0-length vector.
- SparseFieldVector(Field<T>, int) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
-
Construct a vector of zeroes.
- SparseFieldVector(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
-
Build a vector with known the sparseness (for advanced use only).
- SparseFieldVector(Field<T>, T[]) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
-
Create from a Field array.
- SparseFieldVector(SparseFieldVector<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
-
Copy constructor.
- SparseFieldVector(SparseFieldVector<T>, int) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
-
Build a resized vector, for use with append.
- SparseGradient - Class in org.apache.commons.math3.analysis.differentiation
-
First derivative computation with large number of variables.
- SparseGradient(double, double, Map<Integer, Double>) - Constructor for class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Internal constructor.
- SparseGradient(double, Map<Integer, Double>) - Constructor for class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Internal constructor.
- sparseIterator() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Create a sparse iterator over the vector, which may omit some entries.
- sparseIterator() - Method in class org.apache.commons.math3.linear.RealVector
-
Create a sparse iterator over the vector, which may omit some entries.
- SparseRealMatrix - Interface in org.apache.commons.math3.linear
-
Marker interface for
RealMatrix
implementations that require sparse backing storage - SparseRealVector - Class in org.apache.commons.math3.linear
-
Marker class for RealVectors that require sparse backing storage
- SparseRealVector() - Constructor for class org.apache.commons.math3.linear.SparseRealVector
- SpearmansCorrelation - Class in org.apache.commons.math3.stat.correlation
-
Spearman's rank correlation.
- SpearmansCorrelation() - Constructor for class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
-
Create a SpearmansCorrelation without data.
- SpearmansCorrelation(RealMatrix) - Constructor for class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
-
Create a SpearmansCorrelation from the given data matrix.
- SpearmansCorrelation(RealMatrix, RankingAlgorithm) - Constructor for class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
-
Create a SpearmansCorrelation with the given input data matrix and ranking algorithm.
- SpearmansCorrelation(RankingAlgorithm) - Constructor for class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
-
Create a SpearmansCorrelation with the given ranking algorithm.
- Sphere1D - Class in org.apache.commons.math3.geometry.spherical.oned
-
This class implements a one-dimensional sphere (i.e.
- Sphere1D() - Constructor for class org.apache.commons.math3.geometry.spherical.oned.Sphere1D
-
Private constructor for the singleton.
- Sphere1D.LazyHolder - Class in org.apache.commons.math3.geometry.spherical.oned
-
Holder for the instance.
- Sphere1D.NoSubSpaceException - Exception Class in org.apache.commons.math3.geometry.spherical.oned
-
Specialized exception for inexistent sub-space.
- Sphere2D - Class in org.apache.commons.math3.geometry.spherical.twod
-
This class implements a two-dimensional sphere (i.e.
- Sphere2D() - Constructor for class org.apache.commons.math3.geometry.spherical.twod.Sphere2D
-
Private constructor for the singleton.
- Sphere2D.LazyHolder - Class in org.apache.commons.math3.geometry.spherical.twod
-
Holder for the instance.
- SphereGenerator - Class in org.apache.commons.math3.geometry.euclidean.threed
-
Class generating an enclosing ball from its support points.
- SphereGenerator() - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SphereGenerator
- SphericalCoordinates - Class in org.apache.commons.math3.geometry.euclidean.threed
-
This class provides conversions related to spherical coordinates.
- SphericalCoordinates(double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
-
Build a spherical coordinates transformer from spherical coordinates.
- SphericalCoordinates(Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
-
Build a spherical coordinates transformer from Cartesian coordinates.
- SphericalCoordinates.DataTransferObject - Class in org.apache.commons.math3.geometry.euclidean.threed
-
Internal class used only for serialization.
- SphericalPolygonsSet - Class in org.apache.commons.math3.geometry.spherical.twod
-
This class represents a region on the 2-sphere: a set of spherical polygons.
- SphericalPolygonsSet(double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
-
Build a polygons set representing the whole real 2-sphere.
- SphericalPolygonsSet(double, S2Point...) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
-
Build a polygon from a simple list of vertices.
- SphericalPolygonsSet(Collection<SubHyperplane<Sphere2D>>, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
-
Build a polygons set from a Boundary REPresentation (B-rep).
- SphericalPolygonsSet(Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
-
Build a polygons set representing a hemisphere.
- SphericalPolygonsSet(Vector3D, Vector3D, double, int, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
-
Build a polygons set representing a regular polygon.
- SphericalPolygonsSet(BSPTree<Sphere2D>, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
-
Build a polygons set from a BSP tree.
- SplineInterpolator - Class in org.apache.commons.math3.analysis.interpolation
-
Computes a natural (also known as "free", "unclamped") cubic spline interpolation for the data set.
- SplineInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.SplineInterpolator
- splines - Variable in class org.apache.commons.math3.analysis.interpolation.BicubicInterpolatingFunction
-
Set of cubic splines patching the whole data grid
- splines - Variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
-
Deprecated.Set of cubic splines patching the whole data grid
- splines - Variable in class org.apache.commons.math3.analysis.interpolation.TricubicInterpolatingFunction
-
Set of cubic splines patching the whole data grid
- splines - Variable in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolatingFunction
-
Deprecated.Set of cubic splines pacthing the whole data grid
- split(double, double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
-
Compute split[0], split[1] such that their sum is equal to d, and split[0] has its 30 least significant bits as zero.
- split(String) - Method in class org.apache.commons.math3.dfp.DfpField
-
Breaks a string representation up into two
Dfp
's. - split(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
- split(DfpField, String) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
Breaks a string representation up into two dfp's.
- split(Line) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Edge
-
Split the edge.
- split(Hyperplane<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint
-
Split the instance in two parts by an hyperplane.
- split(Hyperplane<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SubPlane
-
Split the instance in two parts by an hyperplane.
- split(Hyperplane<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.SubLine
-
Split the instance in two parts by an hyperplane.
- split(Hyperplane<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.SubLimitAngle
-
Split the instance in two parts by an hyperplane.
- split(Hyperplane<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.SubCircle
-
Split the instance in two parts by an hyperplane.
- split(Hyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
-
Split the instance in two parts by an hyperplane.
- split(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
-
Split the instance in two parts by an hyperplane.
- split(SubHyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Split a BSP tree by an external sub-hyperplane.
- split(Arc) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
-
Split the instance in two parts by an arc.
- split(Circle, List<Edge>, List<Edge>) - Method in class org.apache.commons.math3.geometry.spherical.twod.Edge
-
Split the edge.
- Split(double) - Constructor for class org.apache.commons.math3.util.FastMath.Split
-
Simple constructor.
- Split(double, double) - Constructor for class org.apache.commons.math3.util.FastMath.Split
-
Simple constructor.
- Split(double, double, double) - Constructor for class org.apache.commons.math3.util.FastMath.Split
-
Simple constructor.
- Split(ArcsSet, ArcsSet) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.ArcsSet.Split
-
Build a Split from its parts.
- splitAdd(double[], double[], double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
-
Add two numbers in split form.
- splitDiv(Dfp[], Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
Divide two numbers that are split in to two pieces that are meant to be added together.
- splitEdgeConnections(List<PolygonsSet.ConnectableSegment>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
-
Connect the segments resulting from a line splitting a straight edge.
- splitMult(double[], double[], double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
-
Multiply two numbers in split form.
- splitMult(Dfp[], Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
Multiply two numbers that are split in to two pieces that are meant to be added together.
- splitPow(Dfp[], int) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
Raise a split base to the a power.
- splitReciprocal(double[], double[]) - Static method in class org.apache.commons.math3.util.FastMathCalc
-
Compute the reciprocal of in.
- SplitSubHyperplane(SubHyperplane<U>, SubHyperplane<U>) - Constructor for class org.apache.commons.math3.geometry.partitioning.SubHyperplane.SplitSubHyperplane
-
Build a SplitSubHyperplane from its parts.
- splitters - Variable in class org.apache.commons.math3.geometry.partitioning.BoundaryAttribute
-
Sub-hyperplanes that were used to split the boundary part.
- sqr2 - Variable in class org.apache.commons.math3.dfp.DfpField
-
A
Dfp
with value √2. - sqr2Reciprocal - Variable in class org.apache.commons.math3.dfp.DfpField
-
A
Dfp
with value √2 / 2. - sqr2ReciprocalString - Static variable in class org.apache.commons.math3.dfp.DfpField
-
High precision string representation of √2 / 2.
- sqr2Split - Variable in class org.apache.commons.math3.dfp.DfpField
-
A two elements
Dfp
array with value √2 split in two pieces. - sqr2String - Static variable in class org.apache.commons.math3.dfp.DfpField
-
High precision string representation of √2.
- sqr3 - Variable in class org.apache.commons.math3.dfp.DfpField
-
A
Dfp
with value √3. - sqr3Reciprocal - Variable in class org.apache.commons.math3.dfp.DfpField
-
A
Dfp
with value √3 / 3. - sqr3ReciprocalString - Static variable in class org.apache.commons.math3.dfp.DfpField
-
High precision string representation of √3 / 3.
- sqr3String - Static variable in class org.apache.commons.math3.dfp.DfpField
-
High precision string representation of √3.
- sqrt() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Square root.
- sqrt() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Square root.
- sqrt() - Method in class org.apache.commons.math3.complex.Complex
-
Compute the square root of this complex number.
- sqrt() - Method in class org.apache.commons.math3.dfp.Dfp
-
Compute the square root.
- sqrt() - Method in class org.apache.commons.math3.linear.JacobiPreconditioner
-
Returns the square root of
this
diagonal operator. - sqrt() - Method in interface org.apache.commons.math3.RealFieldElement
-
Square root.
- sqrt() - Method in class org.apache.commons.math3.util.Decimal64
-
Square root.
- sqrt(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the square root of a number.
- sqrt(RealMatrix) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
- sqrt(RealMatrix) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- Sqrt - Class in org.apache.commons.math3.analysis.function
-
Square-root function.
- Sqrt() - Constructor for class org.apache.commons.math3.analysis.function.Sqrt
- SQRT_PI - Static variable in class org.apache.commons.math3.analysis.integration.gauss.HermiteRuleFactory
-
π1/2
- SQRT_TRAP - Static variable in class org.apache.commons.math3.dfp.Dfp
-
Name for traps triggered by square root.
- SQRT_TWO_PI - Static variable in class org.apache.commons.math3.special.Gamma
-
The constant value of √(2π).
- sqrt1z() - Method in class org.apache.commons.math3.complex.Complex
-
Compute the square root of
1 - this2
for this complex number. - SQRT2 - Static variable in class org.apache.commons.math3.distribution.LogNormalDistribution
-
√(2)
- SQRT2 - Static variable in class org.apache.commons.math3.distribution.NormalDistribution
-
√(2)
- SQRT2PI - Static variable in class org.apache.commons.math3.distribution.LogNormalDistribution
-
√(2 π)
- SQRT3 - Static variable in class org.apache.commons.math3.random.UniformRandomGenerator
-
Square root of three.
- square(RealMatrix) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
- square(RealMatrix) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- SquareNeighbourhood - Enum in org.apache.commons.math3.ml.neuralnet
-
Defines neighbourhood types.
- SquareNeighbourhood() - Constructor for enum org.apache.commons.math3.ml.neuralnet.SquareNeighbourhood
- squareRoot(RealMatrix) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
-
Computes the square-root of the weight matrix.
- squareRoot(RealMatrix) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
-
Deprecated.Computes the square-root of the weight matrix.
- squareRoot(RealMatrix) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.Computes the square-root of the weight matrix.
- ss() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
Calculates the sum of squared errors for the full regression and all subsets in the following manner:
- SSE_IDX - Static variable in class org.apache.commons.math3.stat.regression.RegressionResults
-
INDEX of Sum of Squared Errors
- sserr - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
sum of squared errors of largest regression
- SST_IDX - Static variable in class org.apache.commons.math3.stat.regression.RegressionResults
-
INDEX of Sum of Squares of Model
- stabilityReduction - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
stepsize reduction factor in case of stability check failure.
- StableRandomGenerator - Class in org.apache.commons.math3.random
-
This class provides a stable normalized random generator.
- StableRandomGenerator(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.random.StableRandomGenerator
-
Create a new generator.
- stage(int) - Method in class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator
-
Compute the n-th stage integral.
- stage(int) - Method in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
-
Deprecated.Compute the n-th stage integral.
- stage(int, double, double, double) - Method in class org.apache.commons.math3.analysis.integration.MidPointIntegrator
-
Compute the n-th stage integral of midpoint rule.
- stage(BaseAbstractUnivariateIntegrator, int) - Method in class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator
-
Compute the n-th stage integral of trapezoid rule.
- STANDARD - Enum constant in enum org.apache.commons.math3.transform.DftNormalization
-
Should be passed to the constructor of
FastFourierTransformer
to use the standard normalization convention. - STANDARD_DCT_I - Enum constant in enum org.apache.commons.math3.transform.DctNormalization
-
Should be passed to the constructor of
FastCosineTransformer
to use the standard normalization convention. - STANDARD_DEVIATION - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- STANDARD_DST_I - Enum constant in enum org.apache.commons.math3.transform.DstNormalization
-
Should be passed to the constructor of
FastSineTransformer
to use the standard normalization convention. - standardDeviation - Variable in class org.apache.commons.math3.distribution.NormalDistribution
-
Standard deviation of this distribution.
- standardDeviation - Variable in class org.apache.commons.math3.random.UncorrelatedRandomVectorGenerator
-
Standard deviation vector.
- StandardDeviation - Class in org.apache.commons.math3.stat.descriptive.moment
-
Computes the sample standard deviation.
- StandardDeviation() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Constructs a StandardDeviation.
- StandardDeviation(boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Contructs a StandardDeviation with the specified value for the
isBiasCorrected
property. - StandardDeviation(boolean, SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Contructs a StandardDeviation with the specified value for the
isBiasCorrected
property and the supplied external moment. - StandardDeviation(SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Constructs a StandardDeviation from an external second moment.
- StandardDeviation(StandardDeviation) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Copy constructor, creates a new
StandardDeviation
identical to theoriginal
- start - Variable in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
-
initial guess
- start - Variable in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory.LocalLeastSquaresProblem
-
Initial guess.
- start - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Segment
-
Start point of the segment.
- start - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Edge
-
Start vertex.
- start - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Segment
-
Start point of the segment.
- start - Variable in class org.apache.commons.math3.geometry.spherical.twod.Edge
-
Start vertex.
- start - Variable in class org.apache.commons.math3.ode.FieldEquationsMapper
-
Start indices of the components.
- start - Variable in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
-
Initial guess.
- start - Variable in class org.apache.commons.math3.optim.univariate.SearchInterval
-
Start value.
- start - Variable in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
-
Initial guess.
- start - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.Initial guess.
- start - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.Initial guess.
- start - Variable in class org.apache.commons.math3.util.IntegerSequence.Range
-
First value.
- start() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Deprecated.As of 3.1.
- start(double[]) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
-
Configure the initial guess.
- start(double, double[], double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
-
Start the integration.
- start(int, int, int) - Method in interface org.apache.commons.math3.linear.FieldVectorChangingVisitor
-
Start visiting a vector.
- start(int, int, int) - Method in interface org.apache.commons.math3.linear.FieldVectorPreservingVisitor
-
Start visiting a vector.
- start(int, int, int) - Method in interface org.apache.commons.math3.linear.RealVectorChangingVisitor
-
Start visiting a vector.
- start(int, int, int) - Method in interface org.apache.commons.math3.linear.RealVectorPreservingVisitor
-
Start visiting a vector.
- start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixChangingVisitor
-
Start visiting a matrix.
- start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixPreservingVisitor
-
Start visiting a matrix.
- start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.DefaultRealMatrixChangingVisitor
-
Start visiting a matrix.
- start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.DefaultRealMatrixPreservingVisitor
-
Start visiting a matrix.
- start(int, int, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrixChangingVisitor
-
Start visiting a matrix.
- start(int, int, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrixPreservingVisitor
-
Start visiting a matrix.
- start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.MatrixUtils.BigFractionMatrixConverter
-
Start visiting a matrix.
- start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.MatrixUtils.FractionMatrixConverter
-
Start visiting a matrix.
- start(int, int, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrixChangingVisitor
-
Start visiting a matrix.
- start(int, int, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrixPreservingVisitor
-
Start visiting a matrix.
- start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonFieldIntegrator.Corrector
-
Start visiting a matrix.
- start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator.Corrector
-
Start visiting a matrix.
- start(RealVector) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
-
Configure the initial guess.
- start(FieldExpandableODE<T>, FieldODEState<T>, T) - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator
-
Start the integration.
- START_POSITION - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- startConfiguration - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
-
Start simplex configuration.
- startConfiguration - Variable in class org.apache.commons.math3.optimization.direct.AbstractSimplex
-
Deprecated.Start simplex configuration.
- starter - Variable in class org.apache.commons.math3.ode.MultistepFieldIntegrator
-
Starter integrator.
- starter - Variable in class org.apache.commons.math3.ode.MultistepIntegrator
-
Starter integrator.
- startIndex - Variable in class org.apache.commons.math3.util.ResizableDoubleArray
-
The position of the first addressable element in the internal storage array.
- startNode - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.ConnectableSegment
-
Node whose intersection with current node defines start point.
- starts - Variable in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
-
Number of starts to go.
- starts - Variable in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
-
Number of starts to go.
- starts - Variable in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
-
Deprecated.Number of starts to go.
- starts - Variable in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
-
Deprecated.Number of starts to go.
- starts - Variable in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
-
Deprecated.Number of starts to go.
- state - Variable in class org.apache.commons.math3.ode.ExpandableStatefulODE.SecondaryComponent
-
State.
- state - Variable in class org.apache.commons.math3.ode.FieldODEState
-
Main state at time.
- State(RealLinearOperator, RealLinearOperator, RealVector, boolean, double, double, boolean) - Constructor for class org.apache.commons.math3.linear.SymmLQ.State
-
Creates and inits to k = 1 a new instance of this class.
- stateDim - Variable in class org.apache.commons.math3.ode.JacobianMatrices
-
Main state vector dimension.
- stateDot - Variable in class org.apache.commons.math3.ode.ExpandableStatefulODE.SecondaryComponent
-
State derivative.
- stateEstimation - Variable in class org.apache.commons.math3.filter.KalmanFilter
-
The internal state estimation vector, equivalent to x hat.
- states - Variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
States table.
- states - Variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
States table.
- statesInitialized - Variable in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Initialization indicator of events states.
- statesInitialized - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
-
Initialization indicator of events states.
- stateTransitionMatrix - Variable in class org.apache.commons.math3.filter.DefaultProcessModel
-
The state transition matrix, used to advance the internal state estimation each time-step.
- stateVariation - Variable in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
-
State variation.
- STATIC_A - Static variable in class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaIntegrator
-
Internal weights Butcher array.
- STATIC_A - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
-
Internal weights Butcher array.
- STATIC_A - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
Internal weights Butcher array.
- STATIC_A - Static variable in class org.apache.commons.math3.ode.nonstiff.EulerIntegrator
-
Internal weights Butcher array.
- STATIC_A - Static variable in class org.apache.commons.math3.ode.nonstiff.GillIntegrator
-
Internal weights Butcher array.
- STATIC_A - Static variable in class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
-
Internal weights Butcher array.
- STATIC_A - Static variable in class org.apache.commons.math3.ode.nonstiff.LutherIntegrator
-
Internal weights Butcher array.
- STATIC_A - Static variable in class org.apache.commons.math3.ode.nonstiff.MidpointIntegrator
-
Internal weights Butcher array.
- STATIC_A - Static variable in class org.apache.commons.math3.ode.nonstiff.ThreeEighthesIntegrator
-
Internal weights Butcher array.
- STATIC_B - Static variable in class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaIntegrator
-
Propagation weights Butcher array.
- STATIC_B - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
-
Propagation weights Butcher array.
- STATIC_B - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
Propagation weights Butcher array.
- STATIC_B - Static variable in class org.apache.commons.math3.ode.nonstiff.EulerIntegrator
-
Propagation weights Butcher array.
- STATIC_B - Static variable in class org.apache.commons.math3.ode.nonstiff.GillIntegrator
-
Propagation weights Butcher array.
- STATIC_B - Static variable in class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
-
Propagation weights Butcher array.
- STATIC_B - Static variable in class org.apache.commons.math3.ode.nonstiff.LutherIntegrator
-
Propagation weights Butcher array.
- STATIC_B - Static variable in class org.apache.commons.math3.ode.nonstiff.MidpointIntegrator
-
Propagation weights Butcher array.
- STATIC_B - Static variable in class org.apache.commons.math3.ode.nonstiff.ThreeEighthesIntegrator
-
Propagation weights Butcher array.
- STATIC_C - Static variable in class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaIntegrator
-
Time steps Butcher array.
- STATIC_C - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
-
Time steps Butcher array.
- STATIC_C - Static variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
-
Time steps Butcher array.
- STATIC_C - Static variable in class org.apache.commons.math3.ode.nonstiff.EulerIntegrator
-
Time steps Butcher array.
- STATIC_C - Static variable in class org.apache.commons.math3.ode.nonstiff.GillIntegrator
-
Time steps Butcher array.
- STATIC_C - Static variable in class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
-
Time steps Butcher array.
- STATIC_C - Static variable in class org.apache.commons.math3.ode.nonstiff.LutherIntegrator
-
Time steps Butcher array.
- STATIC_C - Static variable in class org.apache.commons.math3.ode.nonstiff.MidpointIntegrator
-
Time steps Butcher array.
- STATIC_C - Static variable in class org.apache.commons.math3.ode.nonstiff.ThreeEighthesIntegrator
-
Time steps Butcher array.
- STATIC_E - Static variable in class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
-
Error weights Butcher array.
- StatisticalMultivariateSummary - Interface in org.apache.commons.math3.stat.descriptive
-
Reporting interface for basic multivariate statistics.
- StatisticalSummary - Interface in org.apache.commons.math3.stat.descriptive
-
Reporting interface for basic univariate statistics.
- StatisticalSummaryValues - Class in org.apache.commons.math3.stat.descriptive
-
Value object representing the results of a univariate statistical summary.
- StatisticalSummaryValues(double, double, long, double, double, double) - Constructor for class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
-
Constructor
- statistics - Variable in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
The SummaryStatistics in which aggregate statistics are accumulated.
- statisticsDHistory - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
History of D matrix.
- statisticsDHistory - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.History of D matrix.
- statisticsFitnessHistory - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
History of fitness values.
- statisticsFitnessHistory - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.History of fitness values.
- statisticsMeanHistory - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
History of mean matrix.
- statisticsMeanHistory - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.History of mean matrix.
- statisticsPrototype - Variable in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
-
A SummaryStatistics serving as a prototype for creating SummaryStatistics contributing to this aggregate
- statisticsSigmaHistory - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
History of sigma values.
- statisticsSigmaHistory - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.History of sigma values.
- StatUtils - Class in org.apache.commons.math3.stat
-
StatUtils provides static methods for computing statistics based on data stored in double[] arrays.
- StatUtils() - Constructor for class org.apache.commons.math3.stat.StatUtils
-
Private Constructor
- step - Variable in class org.apache.commons.math3.ode.nonstiff.RungeKuttaFieldIntegrator
-
Integration step.
- step - Variable in class org.apache.commons.math3.ode.nonstiff.RungeKuttaIntegrator
-
Integration step.
- step - Variable in class org.apache.commons.math3.util.IntegerSequence.Range
-
Increment.
- stepAccepted(double, double[]) - Method in class org.apache.commons.math3.ode.events.EventState
-
Acknowledge the fact the step has been accepted by the integrator.
- stepAccepted(FieldODEStateAndDerivative<T>) - Method in class org.apache.commons.math3.ode.events.FieldEventState
-
Acknowledge the fact the step has been accepted by the integrator.
- stepControl1 - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
first stepsize control factor.
- stepControl2 - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
second stepsize control factor.
- stepControl3 - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
third stepsize control factor.
- stepControl4 - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
fourth stepsize control factor.
- StepFunction - Class in org.apache.commons.math3.analysis.function
- StepFunction(double[], double[]) - Constructor for class org.apache.commons.math3.analysis.function.StepFunction
-
Builds a step function from a list of arguments and the corresponding values.
- StepHandler - Interface in org.apache.commons.math3.ode.sampling
-
This interface represents a handler that should be called after each successful step.
- stepHandlers - Variable in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Step handler.
- stepHandlers - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
-
Step handler.
- StepInterpolator - Interface in org.apache.commons.math3.ode.sampling
-
This interface represents an interpolator over the last step during an ODE integration.
- StepNormalizer - Class in org.apache.commons.math3.ode.sampling
-
This class wraps an object implementing
FixedStepHandler
into aStepHandler
. - StepNormalizer(double, FixedStepHandler) - Constructor for class org.apache.commons.math3.ode.sampling.StepNormalizer
-
Simple constructor.
- StepNormalizer(double, FixedStepHandler, StepNormalizerBounds) - Constructor for class org.apache.commons.math3.ode.sampling.StepNormalizer
-
Simple constructor.
- StepNormalizer(double, FixedStepHandler, StepNormalizerMode) - Constructor for class org.apache.commons.math3.ode.sampling.StepNormalizer
-
Simple constructor.
- StepNormalizer(double, FixedStepHandler, StepNormalizerMode, StepNormalizerBounds) - Constructor for class org.apache.commons.math3.ode.sampling.StepNormalizer
-
Simple constructor.
- StepNormalizerBounds - Enum in org.apache.commons.math3.ode.sampling
-
Step normalizer
bounds settings. - StepNormalizerBounds(boolean, boolean) - Constructor for enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds
-
Simple constructor.
- StepNormalizerMode - Enum in org.apache.commons.math3.ode.sampling
-
Step normalizer
modes. - StepNormalizerMode() - Constructor for enum org.apache.commons.math3.ode.sampling.StepNormalizerMode
- steps - Variable in class org.apache.commons.math3.ode.ContinuousOutputFieldModel
-
Steps table.
- steps - Variable in class org.apache.commons.math3.ode.ContinuousOutputModel
-
Steps table.
- stepSize - Variable in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
-
Step size.
- stepSize - Variable in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Current stepsize.
- stepSize - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
-
Current stepsize.
- stepStart - Variable in class org.apache.commons.math3.ode.AbstractFieldIntegrator
-
Current step start.
- stepStart - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
-
Current step start time.
- STIRLING_S2 - Static variable in class org.apache.commons.math3.util.CombinatoricsUtils
-
Stirling numbers of the second kind.
- stirlingS2(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Deprecated.
- stirlingS2(int, int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
-
Returns the Stirling number of the second kind, "
S(n,k)
", the number of ways of partitioning ann
-element set intok
non-empty subsets. - stop() - Method in class org.apache.commons.math3.ode.events.EventState
-
Check if the integration should be stopped at the end of the current step.
- stop() - Method in class org.apache.commons.math3.ode.events.FieldEventState
-
Check if the integration should be stopped at the end of the current step.
- STOP - Enum constant in enum org.apache.commons.math3.ode.events.Action
-
Stop indicator.
- STOP - Enum constant in enum org.apache.commons.math3.ode.events.EventHandler.Action
-
Stop indicator.
- stopFitness - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Limit for fitness value.
- stopFitness - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Limit for fitness value.
- StoppingCondition - Interface in org.apache.commons.math3.genetics
-
Algorithm used to determine when to stop evolution.
- stoppingTrustRegionRadius - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
stoppingTrustRegionRadius XXX
- stoppingTrustRegionRadius - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.stoppingTrustRegionRadius XXX
- stopTolFun - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Stop if fun-changes smaller stopTolFun.
- stopTolFun - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Stop if fun-changes smaller stopTolFun.
- stopTolHistFun - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Stop if back fun-changes smaller stopTolHistFun.
- stopTolHistFun - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Stop if back fun-changes smaller stopTolHistFun.
- stopTolUpX - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Stop if x-changes larger stopTolUpX.
- stopTolUpX - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Stop if x-changes larger stopTolUpX.
- stopTolX - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Stop if x-change smaller stopTolX.
- stopTolX - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Stop if x-change smaller stopTolX.
- store(double, Map.Entry<RealVector, Double>) - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction.MicrosphereSurfaceElement
-
Deprecated.Store the illumination and index of the brightest sample.
- store(PointValuePair) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer
-
Method that will be called in order to store each found optimum.
- store(PointVectorValuePair) - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer
-
Deprecated.Method that will be called in order to store each found optimum.
- store(PAIR) - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
-
Method that will be called in order to store each found optimum.
- storedData - Variable in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
-
Stored data.
- StorelessBivariateCovariance - Class in org.apache.commons.math3.stat.correlation
-
Bivariate Covariance implementation that does not require input data to be stored in memory.
- StorelessBivariateCovariance() - Constructor for class org.apache.commons.math3.stat.correlation.StorelessBivariateCovariance
-
Create an empty
StorelessBivariateCovariance
instance with bias correction. - StorelessBivariateCovariance(boolean) - Constructor for class org.apache.commons.math3.stat.correlation.StorelessBivariateCovariance
-
Create an empty
StorelessBivariateCovariance
instance. - StorelessCovariance - Class in org.apache.commons.math3.stat.correlation
-
Covariance implementation that does not require input data to be stored in memory.
- StorelessCovariance(int) - Constructor for class org.apache.commons.math3.stat.correlation.StorelessCovariance
-
Create a bias corrected covariance matrix with a given dimension.
- StorelessCovariance(int, boolean) - Constructor for class org.apache.commons.math3.stat.correlation.StorelessCovariance
-
Create a covariance matrix with a given number of rows and columns and the indicated bias correction.
- StorelessUnivariateStatistic - Interface in org.apache.commons.math3.stat.descriptive
-
Extends the definition of
UnivariateStatistic
withStorelessUnivariateStatistic.increment(double)
andStorelessUnivariateStatistic.incrementAll(double[])
methods for adding values and updating internal state. - StorelessUnivariateStatistic: - Search tag in package org.apache.commons.math3.stat.descriptive
- Section
- storeStep(StepInterpolator, double) - Method in class org.apache.commons.math3.ode.sampling.StepNormalizer
-
Stores the interpolated information for the given time in the current state.
- storeTime(double) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Store the current step time.
- storeTime(double) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Store the current step time.
- storeTime(double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Store the current step time.
- StreamDataAdapter(BufferedReader) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution.StreamDataAdapter
-
Create a StreamDataAdapter from a BufferedReader
- strict - Variable in exception class org.apache.commons.math3.exception.NonMonotonicSequenceException
-
Whether the sequence must be strictly increasing or decreasing.
- strictlyNegative() - Method in class org.apache.commons.math3.dfp.Dfp
-
Check if instance is strictly less than 0.
- strictlyPositive() - Method in class org.apache.commons.math3.dfp.Dfp
-
Check if instance is strictly greater than 0.
- stringValue - Variable in enum org.apache.commons.math3.optim.linear.Relationship
-
Display string for the relationship.
- stringValue - Variable in enum org.apache.commons.math3.optimization.linear.Relationship
-
Deprecated.Display string for the relationship.
- SUB_MINUS_PLUS - Enum constant in enum org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor.Order
-
Indicator for visit order cut sub-hyperplane, then minus sub-tree, and last plus sub-tree.
- SUB_PLUS_MINUS - Enum constant in enum org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor.Order
-
Indicator for visit order cut sub-hyperplane, then plus sub-tree, and last minus sub-tree.
- subAndCheck(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Subtract two integers, checking for overflow.
- subAndCheck(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
-
Subtract two long integers, checking for overflow.
- SubArcsIterator() - Constructor for class org.apache.commons.math3.geometry.spherical.oned.ArcsSet.SubArcsIterator
-
Simple constructor.
- SUBARRAY_ENDS_AFTER_ARRAY_END - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- SubCircle - Class in org.apache.commons.math3.geometry.spherical.twod
-
This class represents a sub-hyperplane for
Circle
. - SubCircle(Hyperplane<Sphere2D>, Region<Sphere1D>) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SubCircle
-
Simple constructor.
- SubHyperplane<S> - Interface in org.apache.commons.math3.geometry.partitioning
-
This interface represents the remaining parts of an hyperplane after other parts have been chopped off.
- SubHyperplane.SplitSubHyperplane<U> - Class in org.apache.commons.math3.geometry.partitioning
-
Class holding the results of the
split
method. - SubIntervalsIterator() - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet.SubIntervalsIterator
-
Simple constructor.
- SubLimitAngle - Class in org.apache.commons.math3.geometry.spherical.oned
-
This class represents sub-hyperplane for
LimitAngle
. - SubLimitAngle(Hyperplane<Sphere1D>, Region<Sphere1D>) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.SubLimitAngle
-
Simple constructor.
- SubLine - Class in org.apache.commons.math3.geometry.euclidean.threed
-
This class represents a subset of a
Line
. - SubLine - Class in org.apache.commons.math3.geometry.euclidean.twod
-
This class represents a sub-hyperplane for
Line
. - SubLine(Line, IntervalsSet) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SubLine
-
Simple constructor.
- SubLine(Segment) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SubLine
-
Create a sub-line from a segment.
- SubLine(Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SubLine
-
Deprecated.as of 3.3, replaced with
SubLine(Vector3D, Vector3D, double)
- SubLine(Vector3D, Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SubLine
-
Create a sub-line from two endpoints.
- SubLine(Segment) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.SubLine
-
Create a sub-line from a segment.
- SubLine(Vector2D, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.SubLine
-
Deprecated.as of 3.3, replaced with
SubLine(Vector2D, Vector2D, double)
- SubLine(Vector2D, Vector2D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.SubLine
-
Create a sub-line from two endpoints.
- SubLine(Hyperplane<Euclidean2D>, Region<Euclidean1D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.SubLine
-
Simple constructor.
- SubOrientedPoint - Class in org.apache.commons.math3.geometry.euclidean.oned
-
This class represents sub-hyperplane for
OrientedPoint
. - SubOrientedPoint(Hyperplane<Euclidean1D>, Region<Euclidean1D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint
-
Simple constructor.
- SubPlane - Class in org.apache.commons.math3.geometry.euclidean.threed
-
This class represents a sub-hyperplane for
Plane
. - SubPlane(Hyperplane<Euclidean3D>, Region<Euclidean2D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SubPlane
-
Simple constructor.
- substituteMostRecentElement(double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
Substitutes
value
for the most recently added value. - subtract(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
'-' operator.
- subtract(double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
'-' operator.
- subtract(double) - Method in class org.apache.commons.math3.complex.Complex
-
Returns a
Complex
whose value is(this - subtrahend)
. - subtract(double) - Method in class org.apache.commons.math3.dfp.Dfp
-
'-' operator.
- subtract(double) - Method in interface org.apache.commons.math3.RealFieldElement
-
'-' operator.
- subtract(double) - Method in class org.apache.commons.math3.util.Decimal64
-
'-' operator.
- subtract(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Perform subtraction of two derivative structures.
- subtract(double, FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Subtract a scaled vector from the instance.
- subtract(double, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Subtract a scaled vector from the instance.
- subtract(double, Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Subtract a scaled vector from the instance.
- subtract(double, Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Subtract a scaled vector from the instance.
- subtract(double, Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Subtract a scaled vector from the instance.
- subtract(double, Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
-
Subtract a scaled vector from the instance.
- subtract(int) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Subtracts the value of an
integer
from the value of thisBigFraction
, returning the result in reduced form. - subtract(int) - Method in class org.apache.commons.math3.fraction.Fraction
-
Subtract an integer from the fraction.
- subtract(long) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Subtracts the value of a
long
from the value of thisBigFraction
, returning the result in reduced form. - subtract(BigInteger) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Subtracts the value of an
BigInteger
from the value of thisBigFraction
, returning the result in reduced form. - subtract(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Compute this - a.
- subtract(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Compute this - a.
- subtract(PolynomialFunction) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
-
Subtract a polynomial from the instance.
- subtract(Complex) - Method in class org.apache.commons.math3.complex.Complex
-
Returns a
Complex
whose value is(this - subtrahend)
. - subtract(Quaternion) - Method in class org.apache.commons.math3.complex.Quaternion
-
Subtracts a quaternion from the instance.
- subtract(Quaternion, Quaternion) - Static method in class org.apache.commons.math3.complex.Quaternion
-
Subtracts two quaternions.
- subtract(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
-
Subtract x from this.
- subtract(BigFraction) - Method in class org.apache.commons.math3.fraction.BigFraction
-
Subtracts the value of another fraction from the value of this one, returning the result in reduced form.
- subtract(Fraction) - Method in class org.apache.commons.math3.fraction.Fraction
-
Subtracts the value of another fraction from the value of this one, returning the result in reduced form.
- subtract(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Subtract a vector from the instance.
- subtract(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Subtract a vector from the instance.
- subtract(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Subtract a vector from the instance.
- subtract(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Subtract a vector from the instance.
- subtract(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Subtract a vector from the instance.
- subtract(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
-
Subtract a vector from the instance.
- subtract(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Subtract
m
from this matrix. - subtract(Array2DRowRealMatrix) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Returns
this
minusm
. - subtract(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Compute
this
minusv
. - subtract(BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Compute
this - m
. - subtract(BlockRealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Subtract
m
from this matrix. - subtract(DiagonalMatrix) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
-
Returns
this
minusm
. - subtract(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Subtract
m
from this matrix. - subtract(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Subtract
m
from this matrix. - subtract(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Subtract
m
from this matrix. - subtract(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Compute
this
minusv
. - subtract(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
-
Compute
this
minusv
. - subtract(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Compute
this
minusv
. - subtract(OpenMapRealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Subtract
m
from this matrix. - subtract(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Optimized method to subtract OpenMapRealVectors.
- subtract(RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns
this
minusm
. - subtract(RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Returns
this
minusm
. - subtract(RealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
-
Returns
this
minusm
. - subtract(RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Returns
this
minusm
. - subtract(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Subtract
v
from this vector. - subtract(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Subtract
v
from this vector. - subtract(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
-
Subtract
v
from this vector. - subtract(SparseFieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Optimized method to compute
this
minusv
. - subtract(BigReal) - Method in class org.apache.commons.math3.util.BigReal
-
Compute this - a.
- subtract(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
-
Compute this - a.
- subtract(T) - Method in interface org.apache.commons.math3.FieldElement
-
Compute this - a.
- subtract(T, FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Subtract a scaled vector from the instance.
- subtract(T, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Subtract a scaled vector from the instance.
- Subtract - Class in org.apache.commons.math3.analysis.function
-
Subtract the second operand from the first.
- Subtract() - Constructor for class org.apache.commons.math3.analysis.function.Subtract
- subtractExact(int, int) - Static method in class org.apache.commons.math3.util.FastMath
-
Subtract two numbers, detecting overflows.
- subtractExact(long, long) - Static method in class org.apache.commons.math3.util.FastMath
-
Subtract two numbers, detecting overflows.
- subtractRow(int, int, double) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Subtracts a multiple of one row from another.
- subtractRow(int, int, double) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Subtracts a multiple of one row from another.
- successors(List<Vector3D>, List<int[]>, int[][]) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
-
Find the successors of all vertices among all facets they belong to.
- suffix - Variable in class org.apache.commons.math3.geometry.VectorFormat
-
Suffix.
- suffix - Variable in class org.apache.commons.math3.linear.RealMatrixFormat
-
Suffix.
- suffix - Variable in class org.apache.commons.math3.linear.RealVectorFormat
-
Suffix.
- sum - Variable in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
-
The sum of the sample values
- sum - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
sum of values that have been added
- sum(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the sum of the values in the input array, or
Double.NaN
if the array is empty. - sum(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the sum of the entries in the specified portion of the input array, or
Double.NaN
if the designated subarray is empty. - sum(long) - Static method in class org.apache.commons.math3.stat.correlation.KendallsCorrelation
-
Returns the sum of the number from 1 ..
- Sum - Class in org.apache.commons.math3.stat.descriptive.summary
-
Returns the sum of the available values.
- Sum() - Constructor for class org.apache.commons.math3.stat.descriptive.summary.Sum
-
Create a Sum instance
- Sum(Sum) - Constructor for class org.apache.commons.math3.stat.descriptive.summary.Sum
-
Copy constructor, creates a new
Sum
identical to theoriginal
- SUM - Static variable in class org.apache.commons.math3.stat.StatUtils
-
sum
- SUM_OF_LOGS - Static variable in class org.apache.commons.math3.stat.StatUtils
-
sumLog
- SUM_OF_SQUARES - Static variable in class org.apache.commons.math3.stat.StatUtils
-
sumSq
- sumDeltaMinusDeltaSum(double, double) - Static method in class org.apache.commons.math3.special.Beta
-
Returns the value of Δ(p) + Δ(q) - Δ(p + q), with p, q ≥ 10.
- sumDifference(double[], double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the sum of the (signed) differences between corresponding elements of the input arrays -- i.e., sum(sample1[i] - sample2[i]).
- sumImpl - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Sum statistic implementation - can be reset by setter.
- sumImpl - Variable in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Sum statistic implementation - can be reset by setter.
- sumImpl - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Sum statistic implementation - can be reset by setter.
- sumLog - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
sumLog of values that have been added
- sumLog(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the sum of the natural logs of the entries in the input array, or
Double.NaN
if the array is empty. - sumLog(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the sum of the natural logs of the entries in the specified portion of the input array, or
Double.NaN
if the designated subarray is empty. - sumLogImpl - Variable in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Sum of log statistic implementation - can be reset by setter.
- sumLogImpl - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Sum of log statistic implementation - can be reset by setter.
- SummaryStatistics - Class in org.apache.commons.math3.stat.descriptive
-
Computes summary statistics for a stream of data values added using the
addValue
method. - SummaryStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Construct a SummaryStatistics instance
- SummaryStatistics(SummaryStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
A copy constructor.
- summedArea - Variable in class org.apache.commons.math3.geometry.spherical.twod.PropertiesComputer
-
Summed area.
- summedBarycenter - Variable in class org.apache.commons.math3.geometry.spherical.twod.PropertiesComputer
-
Summed barycenter.
- SumOfClusterVariances<T> - Class in org.apache.commons.math3.ml.clustering.evaluation
-
Computes the sum of intra-cluster distance variances according to the formula:
- SumOfClusterVariances(DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.clustering.evaluation.SumOfClusterVariances
- sumOfLogs - Variable in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
-
Wrapped SumOfLogs instance
- SumOfLogs - Class in org.apache.commons.math3.stat.descriptive.summary
-
Returns the sum of the natural logs for this collection of values.
- SumOfLogs() - Constructor for class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
-
Create a SumOfLogs instance
- SumOfLogs(SumOfLogs) - Constructor for class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
-
Copy constructor, creates a new
SumOfLogs
identical to theoriginal
- SumOfSquares - Class in org.apache.commons.math3.stat.descriptive.summary
-
Returns the sum of the squares of the available values.
- SumOfSquares() - Constructor for class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
-
Create a SumOfSquares instance
- SumOfSquares(SumOfSquares) - Constructor for class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
-
Copy constructor, creates a new
SumOfSquares
identical to theoriginal
- sumRows(RealMatrix) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
- sumRows(RealMatrix) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- sums - Variable in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
-
Sums for each component.
- sumsq - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
sum of the square of each value that has been added
- sumSq(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the sum of the squares of the entries in the input array, or
Double.NaN
if the array is empty. - sumSq(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the sum of the squares of the entries in the specified portion of the input array, or
Double.NaN
if the designated subarray is empty. - sumsqImpl - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Sum of squares statistic implementation - can be reset by setter.
- sumsqImpl - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Sum of squares statistic implementation - can be reset by setter.
- sumSqImpl - Variable in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Sum of squares statistic implementation - can be reset by setter.
- sumsqy - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
summation of squared Y values
- sumX - Variable in class org.apache.commons.math3.stat.regression.SimpleRegression
-
sum of x values
- sumXX - Variable in class org.apache.commons.math3.stat.regression.SimpleRegression
-
total variation in x (sum of squared deviations from xbar)
- sumXY - Variable in class org.apache.commons.math3.stat.regression.SimpleRegression
-
sum of products
- sumy - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
summation of Y variable
- sumY - Variable in class org.apache.commons.math3.stat.regression.SimpleRegression
-
sum of y values
- sumYY - Variable in class org.apache.commons.math3.stat.regression.SimpleRegression
-
total variation in y (sum of squared deviations from ybar)
- support - Variable in class org.apache.commons.math3.geometry.enclosing.EnclosingBall
-
Support points used to define the ball.
- SupportBallGenerator<S,
P> - Interface in org.apache.commons.math3.geometry.enclosing -
Interface for generating balls based on support points.
- surrounded - Variable in class org.apache.commons.math3.geometry.euclidean.twod.NestedLoops
-
Surrounded loops.
- SVD - Enum constant in enum org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer.Decomposition
-
Solve the linear least squares problem using the
SingularValueDecomposition
. - SymmetricGaussIntegrator - Class in org.apache.commons.math3.analysis.integration.gauss
-
This class's implements
integrate
method assuming that the integral is symmetric about 0. - SymmetricGaussIntegrator(double[], double[]) - Constructor for class org.apache.commons.math3.analysis.integration.gauss.SymmetricGaussIntegrator
-
Creates an integrator from the given
points
andweights
. - SymmetricGaussIntegrator(Pair<double[], double[]>) - Constructor for class org.apache.commons.math3.analysis.integration.gauss.SymmetricGaussIntegrator
-
Creates an integrator from the given pair of points (first element of the pair) and weights (second element of the pair.
- SymmLQ - Class in org.apache.commons.math3.linear
-
Implementation of the SYMMLQ iterative linear solver proposed by Paige and Saunders (1975).
- SymmLQ(int, double, boolean) - Constructor for class org.apache.commons.math3.linear.SymmLQ
-
Creates a new instance of this class, with default stopping criterion.
- SymmLQ(IterationManager, double, boolean) - Constructor for class org.apache.commons.math3.linear.SymmLQ
-
Creates a new instance of this class, with default stopping criterion and custom iteration manager.
- SymmLQ.State - Class in org.apache.commons.math3.linear
-
A simple container holding the non-final variables used in the iterations.
- SynchronizedDescriptiveStatistics - Class in org.apache.commons.math3.stat.descriptive
-
Implementation of
DescriptiveStatistics
that is safe to use in a multithreaded environment. - SynchronizedDescriptiveStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
-
Construct an instance with infinite window
- SynchronizedDescriptiveStatistics(int) - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
-
Construct an instance with finite window
- SynchronizedDescriptiveStatistics(SynchronizedDescriptiveStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
-
A copy constructor.
- SynchronizedMultivariateSummaryStatistics - Class in org.apache.commons.math3.stat.descriptive
-
Implementation of
MultivariateSummaryStatistics
that is safe to use in a multithreaded environment. - SynchronizedMultivariateSummaryStatistics(int, boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Construct a SynchronizedMultivariateSummaryStatistics instance
- SynchronizedRandomGenerator - Class in org.apache.commons.math3.random
-
Any
RandomGenerator
implementation can be thread-safe if it is used through an instance of this class. - SynchronizedRandomGenerator(RandomGenerator) - Constructor for class org.apache.commons.math3.random.SynchronizedRandomGenerator
-
Creates a synchronized wrapper for the given
RandomGenerator
instance. - SynchronizedSummaryStatistics - Class in org.apache.commons.math3.stat.descriptive
-
Implementation of
SummaryStatistics
that is safe to use in a multithreaded environment. - SynchronizedSummaryStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Construct a SynchronizedSummaryStatistics instance
- SynchronizedSummaryStatistics(SynchronizedSummaryStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
A copy constructor.
T
- t - Variable in class org.apache.commons.math3.ode.MultistepFieldIntegrator.FieldNordsieckInitializer
-
First steps times.
- t - Variable in class org.apache.commons.math3.ode.MultistepIntegrator.NordsieckInitializer
-
First steps times.
- t(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- t(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Computes a 2-sample t statistic, without the hypothesis of equal subpopulation variances.
- t(double, double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- t(double, double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Computes a t statistic given observed values and a comparison constant.
- t(double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Computes t test statistic for 1-sample t-test.
- t(double, double, double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Computes t test statistic for 2-sample t-test.
- t(double, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- t(double, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest
- t(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- t(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Computes a 2-sample t statistic , comparing the means of the datasets described by two
StatisticalSummary
instances, without the assumption of equal subpopulation variances. - T_TEST - Static variable in class org.apache.commons.math3.stat.inference.TestUtils
-
Singleton TTest instance.
- t0 - Variable in class org.apache.commons.math3.ode.events.EventState
-
Time at the beginning of the step.
- t0 - Variable in class org.apache.commons.math3.ode.events.FieldEventState
-
Time at the beginning of the step.
- TABLE_END_DECL - Static variable in class org.apache.commons.math3.util.FastMathCalc
-
Table end declaration.
- TABLE_START_DECL - Static variable in class org.apache.commons.math3.util.FastMathCalc
-
Table start declaration.
- tableau - Variable in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Simple tableau.
- tableau - Variable in class org.apache.commons.math3.optim.linear.SolutionCallback
-
The SimplexTableau used by the SimplexSolver.
- tableau - Variable in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Simple tableau.
- TAIL - Enum constant in enum org.apache.commons.math3.util.MathArrays.Position
-
Designates the end of the array.
- tan() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Tangent operation.
- tan() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Tangent operation.
- tan() - Method in class org.apache.commons.math3.complex.Complex
-
Compute the tangent of this complex number.
- tan() - Method in class org.apache.commons.math3.dfp.Dfp
-
Tangent operation.
- tan() - Method in interface org.apache.commons.math3.RealFieldElement
-
Tangent operation.
- tan() - Method in class org.apache.commons.math3.util.Decimal64
-
Tangent operation.
- tan(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Tangent function.
- tan(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute tangent of a derivative structure.
- tan(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
-
computes the tangent of the argument.
- Tan - Class in org.apache.commons.math3.analysis.function
-
Tangent function.
- Tan() - Constructor for class org.apache.commons.math3.analysis.function.Tan
- TANGENT_TABLE_A - Static variable in class org.apache.commons.math3.util.FastMath
-
Tangent table, used by atan() (high bits).
- TANGENT_TABLE_B - Static variable in class org.apache.commons.math3.util.FastMath
-
Tangent table, used by atan() (low bits).
- tanh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Hyperbolic tangent operation.
- tanh() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Hyperbolic tangent operation.
- tanh() - Method in class org.apache.commons.math3.complex.Complex
-
Compute the hyperbolic tangent of this complex number.
- tanh() - Method in class org.apache.commons.math3.dfp.Dfp
-
Hyperbolic tangent operation.
- tanh() - Method in interface org.apache.commons.math3.RealFieldElement
-
Hyperbolic tangent operation.
- tanh() - Method in class org.apache.commons.math3.util.Decimal64
-
Hyperbolic tangent operation.
- tanh(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute the hyperbolic tangent of a number.
- tanh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Compute hyperbolic tangent of a derivative structure.
- Tanh - Class in org.apache.commons.math3.analysis.function
-
Hyperbolic tangent function.
- Tanh() - Constructor for class org.apache.commons.math3.analysis.function.Tanh
- tanQ(double, double, boolean) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute tangent (or cotangent) over the first quadrant.
- target - Variable in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
-
observed values
- target - Variable in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory.LocalLeastSquaresProblem.LazyUnweightedEvaluation
-
Target values for the model function at optimum.
- target - Variable in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory.LocalLeastSquaresProblem
-
Target values for the model function at optimum.
- target - Variable in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
-
Deprecated.Target values for the model function at optimum.
- target - Variable in class org.apache.commons.math3.optim.nonlinear.vector.Target
-
Deprecated.Target values (of the objective vector function).
- target - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.Target value for the objective functions at optimum.
- target - Variable in class org.apache.commons.math3.optimization.Target
-
Deprecated.Target values (of the objective vector function).
- target(double[]) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
-
Configure the observed data.
- target(RealVector) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
-
Configure the observed data.
- Target - Class in org.apache.commons.math3.optim.nonlinear.vector
-
Deprecated.All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the
org.apache.commons.math3.fitting.leastsquares
package (cf. MATH-1008). - Target - Class in org.apache.commons.math3.optimization
-
Deprecated.As of 3.1 (to be removed in 4.0).
- Target(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.Target
-
Deprecated.
- Target(double[]) - Constructor for class org.apache.commons.math3.optimization.Target
-
Deprecated.
- taylor(double...) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Evaluate Taylor expansion a derivative structure.
- taylor(double...) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Evaluate Taylor expansion of a sparse gradient.
- taylor(double[], int, double...) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
-
Evaluate Taylor expansion of a derivative structure.
- taylor(FieldODEStateAndDerivative<S>, S, S, S[], Array2DRowFieldMatrix<S>) - Static method in class org.apache.commons.math3.ode.nonstiff.AdamsFieldStepInterpolator
-
Estimate state by applying Taylor formula.
- TDistribution - Class in org.apache.commons.math3.distribution
-
Implementation of Student's t-distribution.
- TDistribution(double) - Constructor for class org.apache.commons.math3.distribution.TDistribution
-
Create a t distribution using the given degrees of freedom.
- TDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.TDistribution
-
Create a t distribution using the given degrees of freedom and the specified inverse cumulative probability absolute accuracy.
- TDistribution(RandomGenerator, double) - Constructor for class org.apache.commons.math3.distribution.TDistribution
-
Creates a t distribution.
- TDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.TDistribution
-
Creates a t distribution.
- TEN - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Constant 10.
- TEN - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Constant 10.
- terminationPerformed(IterationEvent) - Method in interface org.apache.commons.math3.util.IterationListener
-
Invoked after completion of the operations which occur after breaking out of the main iteration loop.
- test(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
-
This method is used by
evaluate(double[], double[], int, int)
methods to verify that the begin and length parameters designate a subarray of positive length and the weights are all non-negative, non-NaN, finite, and not all zero. - test(double[], double[], int, int, boolean) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
-
This method is used by
evaluate(double[], double[], int, int)
methods to verify that the begin and length parameters designate a subarray of positive length and the weights are all non-negative, non-NaN, finite, and not all zero. - test(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
-
This method is used by
evaluate(double[], int, int)
methods to verify that the input parameters designate a subarray of positive length. - test(double[], int, int, boolean) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
-
This method is used by
evaluate(double[], int, int)
methods to verify that the input parameters designate a subarray of positive length. - TestUtils - Class in org.apache.commons.math3.stat.inference
-
A collection of static methods to create inference test instances or to perform inference tests.
- TestUtils() - Constructor for class org.apache.commons.math3.stat.inference.TestUtils
-
Prevent instantiation.
- TheoreticalValuesFunction(ParametricUnivariateFunction) - Constructor for class org.apache.commons.math3.fitting.CurveFitter.TheoreticalValuesFunction
-
Deprecated.
- TheoreticalValuesFunction(ParametricUnivariateFunction) - Constructor for class org.apache.commons.math3.optimization.fitting.CurveFitter.TheoreticalValuesFunction
-
Deprecated.Simple constructor.
- TheoreticalValuesFunction(ParametricUnivariateFunction, Collection<WeightedObservedPoint>) - Constructor for class org.apache.commons.math3.fitting.AbstractCurveFitter.TheoreticalValuesFunction
- theta - Variable in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
-
Azimuthal angle in the x-y plane θ.
- theta - Variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point
-
Azimuthal angle \( \theta \) in the x-y plane.
- thetaHessian - Variable in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
-
Hessian of azimuthal angle in the x-y plane θ.
- ThirdMoment - Class in org.apache.commons.math3.stat.descriptive.moment
-
Computes a statistic related to the Third Central Moment.
- ThirdMoment() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.ThirdMoment
-
Create a FourthMoment instance
- ThirdMoment(ThirdMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.ThirdMoment
-
Copy constructor, creates a new
ThirdMoment
identical to theoriginal
- THREE_FIFTHS - Static variable in class org.apache.commons.math3.fraction.BigFraction
-
A fraction representing "3/5".
- THREE_FIFTHS - Static variable in class org.apache.commons.math3.fraction.Fraction
-
A fraction representing "3/5".
- THREE_QUARTERS - Static variable in class org.apache.commons.math3.fraction.BigFraction
-
A fraction representing "3/4".
- THREE_QUARTERS - Static variable in class org.apache.commons.math3.fraction.Fraction
-
A fraction representing "3/4".
- ThreeEighthesFieldIntegrator<T> - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements the 3/8 fourth order Runge-Kutta integrator for Ordinary Differential Equations.
- ThreeEighthesFieldIntegrator(Field<T>, T) - Constructor for class org.apache.commons.math3.ode.nonstiff.ThreeEighthesFieldIntegrator
-
Simple constructor.
- ThreeEighthesFieldStepInterpolator<T> - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements a step interpolator for the 3/8 fourth order Runge-Kutta integrator.
- ThreeEighthesFieldStepInterpolator(Field<T>, boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Constructor for class org.apache.commons.math3.ode.nonstiff.ThreeEighthesFieldStepInterpolator
-
Simple constructor.
- ThreeEighthesIntegrator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements the 3/8 fourth order Runge-Kutta integrator for Ordinary Differential Equations.
- ThreeEighthesIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.ThreeEighthesIntegrator
-
Simple constructor.
- ThreeEighthesStepInterpolator - Class in org.apache.commons.math3.ode.nonstiff
-
This class implements a step interpolator for the 3/8 fourth order Runge-Kutta integrator.
- ThreeEighthesStepInterpolator() - Constructor for class org.apache.commons.math3.ode.nonstiff.ThreeEighthesStepInterpolator
-
Simple constructor.
- ThreeEighthesStepInterpolator(ThreeEighthesStepInterpolator) - Constructor for class org.apache.commons.math3.ode.nonstiff.ThreeEighthesStepInterpolator
-
Copy constructor.
- threshold - Variable in exception class org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException
-
Threshold.
- threshold - Variable in exception class org.apache.commons.math3.linear.NonSymmetricMatrixException
-
Threshold.
- threshold - Variable in class org.apache.commons.math3.linear.QRDecomposition.Solver
-
Singularity threshold.
- threshold - Variable in class org.apache.commons.math3.linear.QRDecomposition
-
Singularity threshold.
- threshold - Variable in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
-
Singularity threshold for QR decomposition
- THRESHOLD - Static variable in class org.apache.commons.math3.linear.SymmLQ
-
Key for the exception context.
- throwable - Variable in class org.apache.commons.math3.exception.util.ExceptionContext
-
The throwable to which this context refers to.
- throwNPDLOException(RealLinearOperator, RealVector) - Static method in class org.apache.commons.math3.linear.SymmLQ.State
-
Throws a new
NonPositiveDefiniteOperatorException
with appropriate context. - tiesStrategy - Variable in class org.apache.commons.math3.stat.ranking.NaturalRanking
-
Ties strategy - defaults to ties averaged
- TiesStrategy - Enum in org.apache.commons.math3.stat.ranking
-
Strategies for handling tied values in rank transformations.
- TiesStrategy() - Constructor for enum org.apache.commons.math3.stat.ranking.TiesStrategy
- time - Variable in class org.apache.commons.math3.ode.ExpandableStatefulODE
-
Time.
- time - Variable in class org.apache.commons.math3.ode.FieldODEState
-
Time.
- times(RealMatrix, RealMatrix) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
- times(RealMatrix, RealMatrix) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- TINY - Static variable in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Absolute threshold for small singular values.
- tMax - Variable in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
-
Upper bound for independent variable.
- tMin - Variable in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
-
Lower bound for independent variable.
- tnorm - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
An estimate of the square of the norm of A * V[k], based on Paige and Saunders (1975), equation (3.3).
- toArray() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Get the vector coordinates as a dimension 3 array.
- toArray() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Get the vector coordinates as a dimension 3 array.
- toArray() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Get the vector coordinates as a dimension 2 array.
- toArray() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Convert the vector to a T array.
- toArray() - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Convert the vector to an array of
double
s. - toArray() - Method in interface org.apache.commons.math3.linear.FieldVector
-
Convert the vector to a T array.
- toArray() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Convert the vector to an array of
double
s. - toArray() - Method in class org.apache.commons.math3.linear.RealVector
-
Convert the vector to an array of
double
s. - toArray() - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Convert the vector to a T array.
- toBlocksLayout(double[][]) - Static method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Convert a data array from raw layout to blocks layout.
- toBlocksLayout(T[][]) - Static method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Convert a data array from raw layout to blocks layout.
- toCartesianGradient(double[]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
-
Convert a gradient with respect to spherical coordinates into a gradient with respect to Cartesian coordinates.
- toCartesianHessian(double[][], double[]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
-
Convert a Hessian with respect to spherical coordinates into a Hessian with respect to Cartesian coordinates.
- toDegrees() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Convert radians to degrees, with error of less than 0.5 ULP
- toDegrees() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Convert radians to degrees, with error of less than 0.5 ULP
- toDegrees(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Convert radians to degrees, with error of less than 0.5 ULP
- toDifferentiableMultivariateFunction(MultivariateDifferentiableFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
Deprecated.this conversion method is temporary in version 3.1, as the
DifferentiableMultivariateFunction
interface itself is deprecated - toDifferentiableMultivariateVectorFunction(MultivariateDifferentiableVectorFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
Deprecated.this conversion method is temporary in version 3.1, as the
DifferentiableMultivariateVectorFunction
interface itself is deprecated - toDifferentiableUnivariateFunction(UnivariateDifferentiableFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
Deprecated.this conversion method is temporary in version 3.1, as the
DifferentiableUnivariateFunction
interface itself is deprecated - toDouble() - Method in class org.apache.commons.math3.dfp.Dfp
-
Convert the instance into a double.
- toIntExact(long) - Static method in class org.apache.commons.math3.util.FastMath
-
Convert a long to interger, detecting overflows
- tol - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Tolerance value for small singular values, calculated once we have populated "singularValues".
- tol - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
the tolerance for each of the variables
- tol_set - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
has the tolerance setting method been called
- tolerance - Variable in class org.apache.commons.math3.geometry.enclosing.WelzlEncloser
-
Tolerance below which points are consider to be identical.
- tolerance - Variable in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
-
Tolerance below which points are considered to belong to the hyperplane.
- tolerance - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Tolerance below which points are considered identical.
- tolerance - Variable in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor.BoundaryProjector
-
Tolerance below which points are considered identical.
- tolerance - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Tolerance below which points are considered identical.
- tolerance - Variable in class org.apache.commons.math3.geometry.euclidean.twod.hull.AbstractConvexHullGenerator2D
-
Tolerance below which points are considered identical.
- tolerance - Variable in class org.apache.commons.math3.geometry.euclidean.twod.hull.ConvexHull2D
-
Tolerance threshold used during creation of the hull vertices.
- tolerance - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Tolerance below which points are considered identical.
- tolerance - Variable in class org.apache.commons.math3.geometry.euclidean.twod.NestedLoops
-
Tolerance below which points are considered identical.
- tolerance - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.SegmentsBuilder
-
Tolerance for close nodes connection.
- tolerance - Variable in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Tolerance below which points are considered to belong to hyperplanes.
- tolerance - Variable in class org.apache.commons.math3.geometry.spherical.oned.Arc
-
Tolerance below which angles are considered identical.
- tolerance - Variable in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
-
Tolerance below which angles are considered identical.
- tolerance - Variable in class org.apache.commons.math3.geometry.spherical.twod.Circle
-
Tolerance below which close sub-arcs are merged together.
- tolerance - Variable in class org.apache.commons.math3.geometry.spherical.twod.EdgesBuilder
-
Tolerance below which points are consider to be identical.
- tolerance - Variable in class org.apache.commons.math3.geometry.spherical.twod.PropertiesComputer
-
Tolerance below which points are consider to be identical.
- toList() - Method in class org.apache.commons.math3.fitting.WeightedObservedPoints
-
Gets a snapshot of the observed points.
- tolset() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
This sets up tolerances for singularity testing.
- toMultivariateDifferentiableFunction(DifferentiableMultivariateFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
Deprecated.this conversion method is temporary in version 3.1, as the
DifferentiableMultivariateFunction
interface itself is deprecated - toMultivariateDifferentiableVectorFunction(DifferentiableMultivariateVectorFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
Deprecated.this conversion method is temporary in version 3.1, as the
DifferentiableMultivariateFunction
interface itself is deprecated - TOO_LARGE_CUTOFF_SINGULAR_VALUE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- TOO_LARGE_TOURNAMENT_ARITY - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- TOO_MANY_ELEMENTS_TO_DISCARD_FROM_ARRAY - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- TOO_MANY_REGRESSORS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- TOO_SMALL_COST_RELATIVE_TOLERANCE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- TOO_SMALL_INTEGRATION_INTERVAL - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- TOO_SMALL_ORTHOGONALITY_TOLERANCE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- TOO_SMALL_PARAMETERS_RELATIVE_TOLERANCE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- TooManyEvaluationsException - Exception Class in org.apache.commons.math3.exception
-
Exception to be thrown when the maximal number of evaluations is exceeded.
- TooManyEvaluationsException(Number) - Constructor for exception class org.apache.commons.math3.exception.TooManyEvaluationsException
-
Construct the exception.
- TooManyIterationsException - Exception Class in org.apache.commons.math3.exception
-
Exception to be thrown when the maximal number of iterations is exceeded.
- TooManyIterationsException(Number) - Constructor for exception class org.apache.commons.math3.exception.TooManyIterationsException
-
Construct the exception.
- top - Variable in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
-
Deprecated.Top level node.
- topDiagonal - Variable in class org.apache.commons.math3.analysis.interpolation.FieldHermiteInterpolator
-
Top diagonal of the divided differences array.
- topDiagonal - Variable in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
-
Top diagonal of the divided differences array.
- TopographicErrorHistogram - Class in org.apache.commons.math3.ml.neuralnet.twod.util
-
Computes the topographic error histogram.
- TopographicErrorHistogram(boolean, DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.neuralnet.twod.util.TopographicErrorHistogram
- toRadians() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Convert degrees to radians, with error of less than 0.5 ULP
- toRadians() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Convert degrees to radians, with error of less than 0.5 ULP
- toRadians(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Convert degrees to radians, with error of less than 0.5 ULP
- toRotation() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Convert to a constant vector without derivatives.
- toSpace(Point<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Transform a sub-space point into a space point.
- toSpace(Point<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Transform a sub-space point into a space point.
- toSpace(Point<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Transform an in-plane point into a 3D space point.
- toSpace(Point<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
-
Transform a sub-space point into a space point.
- toSpace(Point<T>) - Method in interface org.apache.commons.math3.geometry.partitioning.Embedding
-
Transform a sub-space point into a space point.
- toSpace(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Transform a sub-space point into a space point.
- toSpace(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Transform a sub-space point into a space point.
- toSpace(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Transform a sub-space point into a space point.
- toSplitDouble() - Method in class org.apache.commons.math3.dfp.Dfp
-
Convert the instance into a split double.
- toString() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
-
Returns a string representation of the polynomial.
- toString() - Method in class org.apache.commons.math3.complex.Complex
- toString() - Method in class org.apache.commons.math3.complex.Quaternion
- toString() - Method in class org.apache.commons.math3.dfp.Dfp
-
Get a string representation of the instance.
- toString() - Method in class org.apache.commons.math3.exception.util.DummyLocalizable
- toString() - Method in class org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer
- toString() - Method in class org.apache.commons.math3.fraction.BigFraction
-
Returns the
String
representing this fraction, ie "num / dem" or just "num" if the denominator is one. - toString() - Method in class org.apache.commons.math3.fraction.Fraction
-
Returns the
String
representing this fraction, ie "num / dem" or just "num" if the denominator is one. - toString() - Method in class org.apache.commons.math3.genetics.AbstractListChromosome
- toString() - Method in class org.apache.commons.math3.genetics.ChromosomePair
- toString() - Method in class org.apache.commons.math3.genetics.ListPopulation
- toString() - Method in class org.apache.commons.math3.genetics.RandomKey
- toString() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Get a string representation of this vector.
- toString() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Get a string representation of this vector.
- toString() - Method in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
-
Get a string representation of the instance.
- toString() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Get a string representation of this vector.
- toString() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Get a string representation of this vector.
- toString() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Get a string representation for this matrix.
- toString() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Get a string representation for this matrix.
- toString() - Method in class org.apache.commons.math3.linear.ArrayRealVector
- toString() - Method in class org.apache.commons.math3.ml.clustering.DoublePoint
- toString() - Method in enum org.apache.commons.math3.optim.linear.Relationship
- toString() - Method in enum org.apache.commons.math3.optimization.linear.Relationship
-
Deprecated.
- toString() - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
-
Deprecated.
- toString() - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
-
Deprecated.
- toString() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Generates a text report displaying univariate statistics from values that have been added.
- toString() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
Generates a text report displaying summary statistics from values that have been added.
- toString() - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Marker
- toString() - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Markers
-
Returns string representation of the Marker array.
- toString() - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
-
Returns a string containing the last observation, the current estimate of the quantile and all markers.
- toString() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
-
Generates a text report displaying values of statistics.
- toString() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Generates a text report displaying summary statistics from values that have been added.
- toString() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
-
Generates a text report displaying univariate statistics from values that have been added.
- toString() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
-
Generates a text report displaying summary statistics from values that have been added.
- toString() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
Generates a text report displaying summary statistics from values that have been added.
- toString() - Method in class org.apache.commons.math3.stat.Frequency
-
Return a string representation of this frequency distribution.
- toString() - Method in class org.apache.commons.math3.stat.interval.ConfidenceInterval
- toString() - Method in class org.apache.commons.math3.util.Decimal64
-
The returned
String
is equal toDouble.toString(this.doubleValue())
- toString() - Method in class org.apache.commons.math3.util.MultidimensionalCounter
- toString() - Method in class org.apache.commons.math3.util.Pair
- toString(double) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
-
Creates a string representing a coefficient, removing ".0" endings.
- toString(NumberFormat) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Get a string representation of this vector.
- toString(NumberFormat) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Get a string representation of this vector.
- toString(NumberFormat) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Get a string representation of this vector.
- toString(NumberFormat) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Get a string representation of this vector.
- toString(NumberFormat) - Method in interface org.apache.commons.math3.geometry.Vector
-
Get a string representation of this vector.
- toSubSpace(Point<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Transform a space point into a sub-space point.
- toSubSpace(Point<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Transform a 3D space point into an in-plane point.
- toSubSpace(Point<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Transform a space point into a sub-space point.
- toSubSpace(Point<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
-
Transform a space point into a sub-space point.
- toSubSpace(Point<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Embedding
-
Transform a space point into a sub-space point.
- toSubSpace(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Transform a space point into a sub-space point.
- toSubSpace(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Transform a space point into a sub-space point.
- toSubSpace(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Transform a space point into a sub-space point.
- totalEvaluations - Variable in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
-
Number of evaluations already performed for all starts.
- totalEvaluations - Variable in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
-
Number of evaluations already performed for all starts.
- totalEvaluations - Variable in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
-
Deprecated.Number of evaluations already performed for all starts.
- totalEvaluations - Variable in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
-
Deprecated.Number of evaluations already performed for all starts.
- totalEvaluations - Variable in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
-
Deprecated.Number of evaluations already performed for all starts.
- totalSize - Variable in class org.apache.commons.math3.util.MultidimensionalCounter
-
Total number of (one-dimensional) slots.
- touchInside() - Method in class org.apache.commons.math3.geometry.partitioning.Characterization
-
Check if the cut sub-hyperplane touches inside cells.
- touchOutside() - Method in class org.apache.commons.math3.geometry.partitioning.Characterization
-
Check if the cut sub-hyperplane touches outside cells.
- toUnivariateDifferential(DifferentiableUnivariateFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
-
Deprecated.this conversion method is temporary in version 3.1, as the
DifferentiableUnivariateFunction
interface itself is deprecated - tournament(ListPopulation) - Method in class org.apache.commons.math3.genetics.TournamentSelection
-
Helper for
TournamentSelection.select(Population)
. - TournamentSelection - Class in org.apache.commons.math3.genetics
-
Tournament selection scheme.
- TournamentSelection(int) - Constructor for class org.apache.commons.math3.genetics.TournamentSelection
-
Creates a new TournamentSelection instance.
- toVector3D() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Convert to a constant vector without derivatives.
- TOWPI1 - Static variable in class org.apache.commons.math3.special.BesselJ
-
first few significant digits of 2pi
- transform() - Method in class org.apache.commons.math3.linear.HessenbergTransformer
-
Transform original matrix to Hessenberg form.
- transform() - Method in class org.apache.commons.math3.linear.SchurTransformer
-
Transform original matrix to Schur form.
- transform() - Method in class org.apache.commons.math3.linear.TriDiagonalTransformer
-
Transform original matrix to tridiagonal form.
- transform(double[], TransformType) - Method in class org.apache.commons.math3.transform.FastCosineTransformer
-
Returns the (forward, inverse) transform of the specified real data set.
- transform(double[], TransformType) - Method in class org.apache.commons.math3.transform.FastFourierTransformer
-
Returns the (forward, inverse) transform of the specified real data set.
- transform(double[], TransformType) - Method in class org.apache.commons.math3.transform.FastHadamardTransformer
-
Returns the (forward, inverse) transform of the specified real data set.
- transform(double[], TransformType) - Method in class org.apache.commons.math3.transform.FastSineTransformer
-
Returns the (forward, inverse) transform of the specified real data set.
- transform(double[], TransformType) - Method in interface org.apache.commons.math3.transform.RealTransformer
-
Returns the (forward, inverse) transform of the specified real data set.
- transform(int[]) - Method in class org.apache.commons.math3.transform.FastHadamardTransformer
-
Returns the forward transform of the specified integer data set.The integer transform cannot be inverted directly, due to a scaling factor which may lead to double results.
- transform(Object) - Method in class org.apache.commons.math3.util.DefaultTransformer
- transform(Object) - Method in interface org.apache.commons.math3.util.NumberTransformer
-
Implementing this interface provides a facility to transform from Object to Double.
- transform(Object) - Method in class org.apache.commons.math3.util.TransformerMap
-
Attempts to transform the Object against the map of NumberTransformers.
- transform(UnivariateFunction, double, double, int, TransformType) - Method in class org.apache.commons.math3.transform.FastCosineTransformer
-
Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval.
- transform(UnivariateFunction, double, double, int, TransformType) - Method in class org.apache.commons.math3.transform.FastFourierTransformer
-
Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval.
- transform(UnivariateFunction, double, double, int, TransformType) - Method in class org.apache.commons.math3.transform.FastHadamardTransformer
-
Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval.
- transform(UnivariateFunction, double, double, int, TransformType) - Method in class org.apache.commons.math3.transform.FastSineTransformer
-
Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval.
- transform(UnivariateFunction, double, double, int, TransformType) - Method in interface org.apache.commons.math3.transform.RealTransformer
-
Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval.
- transform(Complex[], TransformType) - Method in class org.apache.commons.math3.transform.FastFourierTransformer
-
Returns the (forward, inverse) transform of the specified complex data set.
- transform(Pair<double[], double[]>, double, double) - Static method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
-
Performs a change of variable so that the integration can be performed on an arbitrary interval
[a, b]
. - Transform<S,
T> - Interface in org.apache.commons.math3.geometry.partitioning -
This interface represents an inversible affine transform in a space.
- transformed(double) - Method in enum org.apache.commons.math3.ode.events.Transformer
-
Transform value of function g.
- transformer - Variable in class org.apache.commons.math3.linear.EigenDecomposition
-
Transformer to tridiagonal (may be null if matrix is already tridiagonal).
- transformer - Variable in class org.apache.commons.math3.ode.nonstiff.AdamsFieldIntegrator
-
Transformer.
- transformer - Variable in class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
-
Transformer.
- Transformer - Enum in org.apache.commons.math3.ode.events
-
Transformer for
g functions
. - Transformer() - Constructor for enum org.apache.commons.math3.ode.events.Transformer
- TransformerMap - Class in org.apache.commons.math3.util
-
This TansformerMap automates the transformation of mixed object types.
- TransformerMap() - Constructor for class org.apache.commons.math3.util.TransformerMap
-
Build a map containing only the default transformer.
- transformers - Variable in class org.apache.commons.math3.ode.events.EventFilter
-
Transformers of the g function.
- transformers() - Method in class org.apache.commons.math3.util.TransformerMap
-
Returns the Set of NumberTransformers used as values in the map.
- transformInPlace(double[][], DftNormalization, TransformType) - Static method in class org.apache.commons.math3.transform.FastFourierTransformer
-
Computes the standard transform of the specified complex data.
- transformToLowerBiDiagonal() - Method in class org.apache.commons.math3.linear.BiDiagonalTransformer
-
Transform original matrix to lower bi-diagonal form.
- transformToSchur(RealMatrix) - Method in class org.apache.commons.math3.linear.EigenDecomposition
-
Transforms the matrix to Schur form and calculates the eigenvalues.
- transformToTridiagonal(RealMatrix) - Method in class org.apache.commons.math3.linear.EigenDecomposition
-
Transforms the matrix to tridiagonal form.
- transformToUpperBiDiagonal() - Method in class org.apache.commons.math3.linear.BiDiagonalTransformer
-
Transform original matrix to upper bi-diagonal form.
- TransformType - Enum in org.apache.commons.math3.transform
-
This enumeration defines the type of transform which is to be computed.
- TransformType() - Constructor for enum org.apache.commons.math3.transform.TransformType
- TransformUtils - Class in org.apache.commons.math3.transform
-
Useful functions for the implementation of various transforms.
- TransformUtils() - Constructor for class org.apache.commons.math3.transform.TransformUtils
-
Private constructor.
- transitionMatrix - Variable in class org.apache.commons.math3.filter.KalmanFilter
-
The transition matrix, equivalent to A.
- transitionMatrixT - Variable in class org.apache.commons.math3.filter.KalmanFilter
-
The transposed transition matrix.
- translate(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Translate the plane by the specified amount.
- translate(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
-
Translate the region by the specified amount.
- translateToPoint(Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Translate the line to force it passing by a point.
- translation - Variable in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.TranslationTransform
-
Translation vector.
- TranslationTransform(Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.TranslationTransform
-
Build a translation transform.
- transpose() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Returns the transpose of this matrix.
- transpose() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Returns the transpose of this matrix.
- transpose() - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Returns the transpose of this matrix.
- transpose() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Returns the transpose of this matrix.
- transpose() - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Returns the transpose of this matrix.
- transpose() - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Returns the transpose of this matrix.
- transposed - Variable in class org.apache.commons.math3.linear.SingularValueDecomposition
-
Indicator for transposed matrix.
- trap(int, String, Dfp, Dfp, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
-
Trap handler.
- TRAPEZOID_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator
-
Maximum number of iterations for trapezoid.
- TrapezoidIntegrator - Class in org.apache.commons.math3.analysis.integration
-
Implements the Trapezoid Rule for integration of real univariate functions.
- TrapezoidIntegrator() - Constructor for class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator
-
Construct a trapezoid integrator with default settings.
- TrapezoidIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator
-
Build a trapezoid integrator with given accuracies and iterations counts.
- TrapezoidIntegrator(int, int) - Constructor for class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator
-
Build a trapezoid integrator with given iteration counts.
- tree - Variable in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
-
Inside/Outside BSP tree.
- trialDivision(int) - Static method in class org.apache.commons.math3.primes.SmallPrimes
-
Factorization by trial division.
- trialStepPoint - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Trial step from
BOBYQAOptimizer.trustRegionCenterOffset
which is usuallyBOBYQAOptimizer.newPoint
-BOBYQAOptimizer.trustRegionCenterOffset
. - trialStepPoint - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Trial step from
BOBYQAOptimizer.trustRegionCenterOffset
which is usuallyBOBYQAOptimizer.newPoint
-BOBYQAOptimizer.trustRegionCenterOffset
. - TriangularDistribution - Class in org.apache.commons.math3.distribution
-
Implementation of the triangular real distribution.
- TriangularDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.TriangularDistribution
-
Creates a triangular real distribution using the given lower limit, upper limit, and mode.
- TriangularDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.TriangularDistribution
-
Creates a triangular distribution.
- tricube(double) - Static method in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
-
Compute the tricube weight function
- TricubicFunction - Class in org.apache.commons.math3.analysis.interpolation
-
3D-spline function.
- TricubicFunction(double[]) - Constructor for class org.apache.commons.math3.analysis.interpolation.TricubicFunction
- TricubicInterpolatingFunction - Class in org.apache.commons.math3.analysis.interpolation
-
Function that implements the tricubic spline interpolation, as proposed in Tricubic interpolation in three dimensions, F.
- TricubicInterpolatingFunction(double[], double[], double[], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][]) - Constructor for class org.apache.commons.math3.analysis.interpolation.TricubicInterpolatingFunction
- TricubicInterpolator - Class in org.apache.commons.math3.analysis.interpolation
-
Generates a tricubic interpolating function.
- TricubicInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.TricubicInterpolator
- TricubicSplineFunction - Class in org.apache.commons.math3.analysis.interpolation
-
3D-spline function.
- TricubicSplineFunction(double[]) - Constructor for class org.apache.commons.math3.analysis.interpolation.TricubicSplineFunction
- TricubicSplineInterpolatingFunction - Class in org.apache.commons.math3.analysis.interpolation
-
Deprecated.To be removed in 4.0 (see MATH-1166).
- TricubicSplineInterpolatingFunction(double[], double[], double[], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][]) - Constructor for class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolatingFunction
-
Deprecated.
- TricubicSplineInterpolator - Class in org.apache.commons.math3.analysis.interpolation
-
Deprecated.To be removed in 4.0 (see MATH-1166).
- TricubicSplineInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolator
-
Deprecated.
- TriDiagonalTransformer - Class in org.apache.commons.math3.linear
-
Class transforming a symmetrical matrix to tridiagonal shape.
- TriDiagonalTransformer(RealMatrix) - Constructor for class org.apache.commons.math3.linear.TriDiagonalTransformer
-
Build the transformation to tridiagonal shape of a symmetrical matrix.
- trigamma(double) - Static method in class org.apache.commons.math3.special.Gamma
-
Computes the trigamma function of x.
- trigger(int) - Method in class org.apache.commons.math3.optim.AbstractOptimizationProblem.MaxEvalCallback
-
Function called when the maximal count has been reached.
- trigger(int) - Method in class org.apache.commons.math3.optim.AbstractOptimizationProblem.MaxIterCallback
-
Function called when the maximal count has been reached.
- trigger(int) - Method in class org.apache.commons.math3.optim.BaseOptimizer.MaxEvalCallback
-
Function called when the maximal count has been reached.
- trigger(int) - Method in class org.apache.commons.math3.optim.BaseOptimizer.MaxIterCallback
-
Function called when the maximal count has been reached.
- trigger(int) - Method in interface org.apache.commons.math3.util.Incrementor.MaxCountExceededCallback
-
Deprecated.Function called when the maximal count has been reached.
- trigger(int) - Method in interface org.apache.commons.math3.util.IntegerSequence.Incrementor.MaxCountExceededCallback
-
Function called when the maximal count has been reached.
- TRIGGER_ONLY_DECREASING_EVENTS - Enum constant in enum org.apache.commons.math3.ode.events.FilterType
-
Constant for triggering only decreasing events.
- TRIGGER_ONLY_INCREASING_EVENTS - Enum constant in enum org.apache.commons.math3.ode.events.FilterType
-
Constant for triggering only increasing events.
- trimmedPrefix - Variable in class org.apache.commons.math3.geometry.VectorFormat
-
Trimmed prefix.
- trimmedPrefix - Variable in class org.apache.commons.math3.linear.RealVectorFormat
-
Trimmed prefix.
- trimmedSeparator - Variable in class org.apache.commons.math3.geometry.VectorFormat
-
Trimmed separator.
- trimmedSeparator - Variable in class org.apache.commons.math3.linear.RealVectorFormat
-
Trimmed separator.
- trimmedSuffix - Variable in class org.apache.commons.math3.geometry.VectorFormat
-
Trimmed suffix.
- trimmedSuffix - Variable in class org.apache.commons.math3.linear.RealVectorFormat
-
Trimmed suffix.
- triu(RealMatrix, int) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
- triu(RealMatrix, int) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- TrivariateFunction - Interface in org.apache.commons.math3.analysis
-
An interface representing a trivariate real function.
- TrivariateGridInterpolator - Interface in org.apache.commons.math3.analysis.interpolation
-
Interface representing a trivariate real interpolating function where the sample points must be specified on a regular grid.
- trsbox(double, ArrayRealVector, ArrayRealVector, ArrayRealVector, ArrayRealVector, ArrayRealVector) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
A version of the truncated conjugate gradient is applied.
- trsbox(double, ArrayRealVector, ArrayRealVector, ArrayRealVector, ArrayRealVector, ArrayRealVector) - Method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.A version of the truncated conjugate gradient is applied.
- trunc(DfpField.RoundingMode) - Method in class org.apache.commons.math3.dfp.Dfp
-
Does the integer conversions with the specified rounding.
- TRUNC_TRAP - Static variable in class org.apache.commons.math3.dfp.Dfp
-
Name for traps triggered by truncation.
- TRUST_REGION_STEP_FAILED - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- trustRegionCenterInterpolationPointIndex - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Index of the interpolation point at the trust region center.
- trustRegionCenterInterpolationPointIndex - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Index of the interpolation point at the trust region center.
- trustRegionCenterOffset - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Displacement from
BOBYQAOptimizer.originShift
of the trust region center. - trustRegionCenterOffset - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Displacement from
BOBYQAOptimizer.originShift
of the trust region center. - tryStep(double, double[], double, int, double[], double[][], double[], double[], double[]) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
Perform integration over one step using substeps of a modified midpoint method.
- tTest(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- tTest(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the input arrays.
- tTest(double[], double[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- tTest(double[], double[], double) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Performs a two-sided t-test evaluating the null hypothesis that
sample1
andsample2
are drawn from populations with the same mean, with significance levelalpha
. - tTest(double, double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- tTest(double, double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the input array with the constant
mu
. - tTest(double, double[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- tTest(double, double[], double) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which
sample
is drawn equalsmu
. - tTest(double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Computes p-value for 2-sided, 1-sample t-test.
- tTest(double, double, double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Computes p-value for 2-sided, 2-sample t-test.
- tTest(double, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- tTest(double, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the dataset described by
sampleStats
with the constantmu
. - tTest(double, StatisticalSummary, double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- tTest(double, StatisticalSummary, double) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which the dataset described by
stats
is drawn equalsmu
. - tTest(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- tTest(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances.
- tTest(StatisticalSummary, StatisticalSummary, double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
- tTest(StatisticalSummary, StatisticalSummary, double) - Method in class org.apache.commons.math3.stat.inference.TTest
-
Performs a two-sided t-test evaluating the null hypothesis that
sampleStats1
andsampleStats2
describe datasets drawn from populations with the same mean, with significance levelalpha
. - TTest - Class in org.apache.commons.math3.stat.inference
-
An implementation for Student's t-tests.
- TTest() - Constructor for class org.apache.commons.math3.stat.inference.TTest
- two - Variable in class org.apache.commons.math3.analysis.integration.gauss.LegendreHighPrecisionRuleFactory
-
The number
2
. - two - Variable in class org.apache.commons.math3.dfp.DfpField
-
A
Dfp
with value 2. - TWO - Static variable in class org.apache.commons.math3.fraction.BigFraction
-
A fraction representing "2 / 1".
- TWO - Static variable in class org.apache.commons.math3.fraction.Fraction
-
A fraction representing "2 / 1".
- TWO - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Constant 2.
- TWO - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Constant 2.
- TWO_EPS - Static variable in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
-
Twice the "epsilon machine".
- TWO_EPS - Static variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Deprecated.Twice the "epsilon machine".
- TWO_FIFTHS - Static variable in class org.apache.commons.math3.fraction.BigFraction
-
A fraction representing "2/5".
- TWO_FIFTHS - Static variable in class org.apache.commons.math3.fraction.Fraction
-
A fraction representing "2/5".
- TWO_HUNDRED_FIFTY - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Constant 250.
- TWO_HUNDRED_FIFTY - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Constant 250.
- TWO_OR_MORE_CATEGORIES_REQUIRED - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- TWO_OR_MORE_VALUES_IN_CATEGORY_REQUIRED - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- TWO_PI - Static variable in class org.apache.commons.math3.util.MathUtils
-
\(2\pi\)
- TWO_POWER_52 - Static variable in class org.apache.commons.math3.util.FastMath
-
2^52 - double numbers this large must be integral (no fraction) or NaN or Infinite
- TWO_QUARTERS - Static variable in class org.apache.commons.math3.fraction.BigFraction
-
A fraction representing "2/4".
- TWO_QUARTERS - Static variable in class org.apache.commons.math3.fraction.Fraction
-
A fraction representing "2/4".
- TWO_SIDED - Enum constant in enum org.apache.commons.math3.stat.inference.AlternativeHypothesis
-
Represents a two-sided test.
- TWO_THIRDS - Static variable in class org.apache.commons.math3.fraction.BigFraction
-
A fraction representing "2/3".
- TWO_THIRDS - Static variable in class org.apache.commons.math3.fraction.Fraction
-
A fraction representing "2/3".
- TWOPI - Static variable in class org.apache.commons.math3.special.BesselJ
-
TOWPI1 + TWOPI2
- TWOPI2 - Static variable in class org.apache.commons.math3.special.BesselJ
-
2pi - TWOPI1 to working precision
U
- u - Variable in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor
-
Abscissa axis of the projection plane.
- u - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
First vector of the plane frame (in plane).
- ulp(double) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute least significant bit (Unit in Last Position) for a number.
- ulp(float) - Static method in class org.apache.commons.math3.util.FastMath
-
Compute least significant bit (Unit in Last Position) for a number.
- Ulp - Class in org.apache.commons.math3.analysis.function
-
ulp
function. - Ulp() - Constructor for class org.apache.commons.math3.analysis.function.Ulp
- UNABLE_TO_BRACKET_OPTIMUM_IN_LINE_SEARCH - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- UNABLE_TO_COMPUTE_COVARIANCE_SINGULAR_PROBLEM - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- UNABLE_TO_FIRST_GUESS_HARMONIC_COEFFICIENTS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- UNABLE_TO_ORTHOGONOLIZE_MATRIX - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- UNABLE_TO_PERFORM_QR_DECOMPOSITION_ON_JACOBIAN - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- UNABLE_TO_SOLVE_SINGULAR_PROBLEM - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- unbounded(int) - Static method in class org.apache.commons.math3.optim.SimpleBounds
-
Factory method that creates instance of this class that represents unbounded ranges.
- UNBOUNDED_SOLUTION - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- UnboundedSolutionException - Exception Class in org.apache.commons.math3.optim.linear
-
This class represents exceptions thrown by optimizers when a solution escapes to infinity.
- UnboundedSolutionException - Exception Class in org.apache.commons.math3.optimization.linear
-
Deprecated.As of 3.1 (to be removed in 4.0).
- UnboundedSolutionException() - Constructor for exception class org.apache.commons.math3.optim.linear.UnboundedSolutionException
-
Simple constructor using a default message.
- UnboundedSolutionException() - Constructor for exception class org.apache.commons.math3.optimization.linear.UnboundedSolutionException
-
Deprecated.Simple constructor using a default message.
- unboundedToBounded(double) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.LowerBoundMapper
-
Maps a value from unbounded to bounded.
- unboundedToBounded(double) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.LowerUpperBoundMapper
-
Maps a value from unbounded to bounded.
- unboundedToBounded(double) - Method in interface org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.Mapper
-
Maps a value from unbounded to bounded.
- unboundedToBounded(double) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.NoBoundsMapper
-
Maps a value from unbounded to bounded.
- unboundedToBounded(double) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.UpperBoundMapper
-
Maps a value from unbounded to bounded.
- unboundedToBounded(double) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.LowerBoundMapper
-
Deprecated.Map a value from unbounded to bounded.
- unboundedToBounded(double) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.LowerUpperBoundMapper
-
Deprecated.Map a value from unbounded to bounded.
- unboundedToBounded(double) - Method in interface org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.Mapper
-
Deprecated.Map a value from unbounded to bounded.
- unboundedToBounded(double) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.NoBoundsMapper
-
Deprecated.Map a value from unbounded to bounded.
- unboundedToBounded(double) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.UpperBoundMapper
-
Deprecated.Map a value from unbounded to bounded.
- unboundedToBounded(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter
-
Maps an array from unbounded to bounded.
- unboundedToBounded(double[]) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter
-
Deprecated.Map an array from unbounded to bounded.
- unboundingFunction - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.LowerUpperBoundMapper
-
Function from bounded to unbounded.
- unboundingFunction - Variable in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.LowerUpperBoundMapper
-
Deprecated.Function from bounded to unbounded.
- UncorrelatedRandomVectorGenerator - Class in org.apache.commons.math3.random
-
A
RandomVectorGenerator
that generates vectors with uncorrelated components. - UncorrelatedRandomVectorGenerator(double[], double[], NormalizedRandomGenerator) - Constructor for class org.apache.commons.math3.random.UncorrelatedRandomVectorGenerator
-
Simple constructor.
- UncorrelatedRandomVectorGenerator(int, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math3.random.UncorrelatedRandomVectorGenerator
-
Simple constructor.
- unequal(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
-
Check if instance is not equal to x.
- uniCounterOffset - Variable in class org.apache.commons.math3.util.MultidimensionalCounter
-
Offset for each dimension.
- UnifiedDistanceMatrix - Class in org.apache.commons.math3.ml.neuralnet.twod.util
-
U-Matrix visualization of high-dimensional data projection.
- UnifiedDistanceMatrix(boolean, DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.neuralnet.twod.util.UnifiedDistanceMatrix
-
Simple constructor.
- uniform(double, double) - Static method in class org.apache.commons.math3.ml.neuralnet.FeatureInitializerFactory
-
Uniform sampling of the given range.
- uniform(RandomGenerator, double, double) - Static method in class org.apache.commons.math3.ml.neuralnet.FeatureInitializerFactory
-
Uniform sampling of the given range.
- UNIFORM_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
-
Uniform random deviates with mean = μ.
- UniformCrossover<T> - Class in org.apache.commons.math3.genetics
-
Perform Uniform Crossover [UX] on the specified chromosomes.
- UniformCrossover(double) - Constructor for class org.apache.commons.math3.genetics.UniformCrossover
-
Creates a new
UniformCrossover
policy using the given mixing ratio. - UniformIntegerDistribution - Class in org.apache.commons.math3.distribution
-
Implementation of the uniform integer distribution.
- UniformIntegerDistribution(int, int) - Constructor for class org.apache.commons.math3.distribution.UniformIntegerDistribution
-
Creates a new uniform integer distribution using the given lower and upper bounds (both inclusive).
- UniformIntegerDistribution(RandomGenerator, int, int) - Constructor for class org.apache.commons.math3.distribution.UniformIntegerDistribution
-
Creates a new uniform integer distribution using the given lower and upper bounds (both inclusive).
- UniformRandomGenerator - Class in org.apache.commons.math3.random
-
This class implements a normalized uniform random generator.
- UniformRandomGenerator(RandomGenerator) - Constructor for class org.apache.commons.math3.random.UniformRandomGenerator
-
Create a new generator.
- UniformRealDistribution - Class in org.apache.commons.math3.distribution
-
Implementation of the uniform real distribution.
- UniformRealDistribution() - Constructor for class org.apache.commons.math3.distribution.UniformRealDistribution
-
Create a standard uniform real distribution with lower bound (inclusive) equal to zero and upper bound (exclusive) equal to one.
- UniformRealDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.UniformRealDistribution
-
Create a uniform real distribution using the given lower and upper bounds.
- UniformRealDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.UniformRealDistribution
-
Deprecated.as of 3.2, inverse CDF is now calculated analytically, use
UniformRealDistribution(double, double)
instead. - UniformRealDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.UniformRealDistribution
-
Creates a uniform distribution.
- UniformRealDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.UniformRealDistribution
-
Deprecated.as of 3.2, inverse CDF is now calculated analytically, use
UniformRealDistribution(RandomGenerator, double, double)
instead. - UNINITIALIZED - Enum constant in enum org.apache.commons.math3.ode.events.Transformer
-
Transformer computing transformed = 0.
- union(Region<S>, Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
-
Compute the union of two regions.
- UnionMerger() - Constructor for class org.apache.commons.math3.geometry.partitioning.RegionFactory.UnionMerger
- unique(double[]) - Static method in class org.apache.commons.math3.util.MathArrays
-
Returns an array consisting of the unique values in
data
. - UNITARY - Enum constant in enum org.apache.commons.math3.transform.DftNormalization
-
Should be passed to the constructor of
FastFourierTransformer
to use the unitary normalization convention. - unitize() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Converts this vector into a unit vector.
- unitize() - Method in class org.apache.commons.math3.linear.RealVector
-
Converts this vector into a unit vector.
- UnitSphereRandomVectorGenerator - Class in org.apache.commons.math3.random
-
Generate random vectors isotropically located on the surface of a sphere.
- UnitSphereRandomVectorGenerator(int) - Constructor for class org.apache.commons.math3.random.UnitSphereRandomVectorGenerator
-
Create an object that will use a default RNG (
MersenneTwister
), in order to generate the individual components. - UnitSphereRandomVectorGenerator(int, RandomGenerator) - Constructor for class org.apache.commons.math3.random.UnitSphereRandomVectorGenerator
- unitVector() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
-
Creates a unit vector pointing in the direction of this vector.
- unitVector() - Method in class org.apache.commons.math3.linear.RealVector
-
Creates a unit vector pointing in the direction of this vector.
- UnivariateDfpFunction - Interface in org.apache.commons.math3.dfp
-
Deprecated.as of 3.6, replaced with
RealFieldUnivariateFunction
- UnivariateDifferentiableFunction - Interface in org.apache.commons.math3.analysis.differentiation
-
Interface for univariate functions derivatives.
- UnivariateDifferentiableMatrixFunction - Interface in org.apache.commons.math3.analysis.differentiation
-
Extension of
UnivariateMatrixFunction
representing a univariate differentiable matrix function. - UnivariateDifferentiableSolver - Interface in org.apache.commons.math3.analysis.solvers
-
Interface for (univariate real) rootfinding algorithms.
- UnivariateDifferentiableVectorFunction - Interface in org.apache.commons.math3.analysis.differentiation
-
Extension of
UnivariateVectorFunction
representing a univariate differentiable vectorial function. - UnivariateFunction - Interface in org.apache.commons.math3.analysis
-
An interface representing a univariate real function.
- UnivariateFunctionDifferentiator - Interface in org.apache.commons.math3.analysis.differentiation
-
Interface defining the function differentiation operation.
- UnivariateIntegrator - Interface in org.apache.commons.math3.analysis.integration
-
Interface for univariate real integration algorithms.
- UnivariateInterpolator - Interface in org.apache.commons.math3.analysis.interpolation
-
Interface representing a univariate real interpolating function.
- UnivariateMatrixFunction - Interface in org.apache.commons.math3.analysis
-
An interface representing a univariate matrix function.
- UnivariateMatrixFunctionDifferentiator - Interface in org.apache.commons.math3.analysis.differentiation
-
Interface defining the function differentiation operation.
- UnivariateMultiStartOptimizer<FUNC> - Class in org.apache.commons.math3.optimization.univariate
-
Deprecated.As of 3.1 (to be removed in 4.0).
- UnivariateMultiStartOptimizer(BaseUnivariateOptimizer<FUNC>, int, RandomGenerator) - Constructor for class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
-
Deprecated.Create a multi-start optimizer from a single-start optimizer.
- UnivariateObjectiveFunction - Class in org.apache.commons.math3.optim.univariate
-
Scalar function to be optimized.
- UnivariateObjectiveFunction(UnivariateFunction) - Constructor for class org.apache.commons.math3.optim.univariate.UnivariateObjectiveFunction
- UnivariateOptimizer - Class in org.apache.commons.math3.optim.univariate
-
Base class for a univariate scalar function optimizer.
- UnivariateOptimizer - Interface in org.apache.commons.math3.optimization.univariate
-
Deprecated.As of 3.1 (to be removed in 4.0).
- UnivariateOptimizer(ConvergenceChecker<UnivariatePointValuePair>) - Constructor for class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
- UnivariatePeriodicInterpolator - Class in org.apache.commons.math3.analysis.interpolation
-
Adapter for classes implementing the
UnivariateInterpolator
interface. - UnivariatePeriodicInterpolator(UnivariateInterpolator, double) - Constructor for class org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator
-
Builds an interpolator.
- UnivariatePeriodicInterpolator(UnivariateInterpolator, double, int) - Constructor for class org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator
-
Builds an interpolator.
- UnivariatePointValuePair - Class in org.apache.commons.math3.optim.univariate
-
This class holds a point and the value of an objective function at this point.
- UnivariatePointValuePair - Class in org.apache.commons.math3.optimization.univariate
-
Deprecated.As of 3.1 (to be removed in 4.0).
- UnivariatePointValuePair(double, double) - Constructor for class org.apache.commons.math3.optim.univariate.UnivariatePointValuePair
-
Build a point/objective function value pair.
- UnivariatePointValuePair(double, double) - Constructor for class org.apache.commons.math3.optimization.univariate.UnivariatePointValuePair
-
Deprecated.Build a point/objective function value pair.
- UnivariateSolver - Interface in org.apache.commons.math3.analysis.solvers
-
Interface for (univariate real) root-finding algorithms.
- UnivariateSolverUtils - Class in org.apache.commons.math3.analysis.solvers
-
Utility routines for
UnivariateSolver
objects. - UnivariateSolverUtils() - Constructor for class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
-
Class contains only static methods.
- UnivariateStatistic - Interface in org.apache.commons.math3.stat.descriptive
-
Base interface implemented by all statistics.
- UnivariateStatistic: - Search tag in package org.apache.commons.math3.stat.descriptive
- Section
- UnivariateStatistic API Usage Examples: - Search tag in package org.apache.commons.math3.stat.descriptive
- Section
- UnivariateVectorFunction - Interface in org.apache.commons.math3.analysis
-
An interface representing a univariate vectorial function.
- UnivariateVectorFunctionDifferentiator - Interface in org.apache.commons.math3.analysis.differentiation
-
Interface defining the function differentiation operation.
- UNKNOWN_MODE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- UNKNOWN_PARAMETER - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- UnknownParameterException - Exception Class in org.apache.commons.math3.ode
-
Exception to be thrown when a parameter is unknown.
- UnknownParameterException(String) - Constructor for exception class org.apache.commons.math3.ode.UnknownParameterException
-
Construct an exception from the unknown parameter.
- unlimited() - Static method in class org.apache.commons.math3.optim.MaxEval
-
Factory method that creates instance of this class that represents a virtually unlimited number of evaluations.
- unlimited() - Static method in class org.apache.commons.math3.optim.MaxIter
-
Factory method that creates instance of this class that represents a virtually unlimited number of iterations.
- unlinkReverse() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Unset the link between an instance and its reverse.
- UNMATCHED_ODE_IN_EXPANDED_SET - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- unmodifiableRealVector(RealVector) - Static method in class org.apache.commons.math3.linear.RealVector
-
Returns an unmodifiable view of the specified vector.
- UNPARSEABLE_3D_VECTOR - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- UNPARSEABLE_COMPLEX_NUMBER - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- UNPARSEABLE_REAL_VECTOR - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- UNSUPPORTED_EXPANSION_MODE - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- UNSUPPORTED_OPERATION - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- unweighted - Variable in class org.apache.commons.math3.fitting.leastsquares.DenseWeightedEvaluation
-
the unweighted evaluation
- UnweightedEvaluation(RealVector, RealMatrix, RealVector, RealVector) - Constructor for class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory.LocalLeastSquaresProblem.UnweightedEvaluation
-
Create an
LeastSquaresProblem.Evaluation
with no weights. - UP - Enum constant in enum org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D.VerticalDirection
-
Row above the current row.
- update - Variable in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckFieldTransformer
-
Update matrix for the higher order derivatives h2/2 y'', h3/6 y''' ...
- update - Variable in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
-
Update matrix for the higher order derivatives h2/2 y'', h3/6 y''' ...
- update() - Method in class org.apache.commons.math3.linear.SymmLQ.State
-
Performs the next iteration of the algorithm.
- update(double, double, int) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
The arrays BMAT and ZMAT are updated, as required by the new position of the interpolation point that has the index KNEW.
- update(double, double, int) - Method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.The arrays BMAT and ZMAT are updated, as required by the new position of the interpolation point that has the index KNEW.
- update(Network, double[]) - Method in class org.apache.commons.math3.ml.neuralnet.sofm.KohonenUpdateAction
-
Updates the network in response to the sample
features
. - update(Network, double[]) - Method in interface org.apache.commons.math3.ml.neuralnet.UpdateAction
-
Updates the network in response to the sample
features
. - updateAction - Variable in class org.apache.commons.math3.ml.neuralnet.sofm.KohonenTrainingTask
-
Update procedure.
- UpdateAction - Interface in org.apache.commons.math3.ml.neuralnet
-
Describes how to update the network in response to a training sample.
- updateBandwidthInterval(double[], double[], int, int[]) - Static method in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
-
Given an index interval into xval that embraces a certain number of points closest to
xval[i-1]
, update the interval so that it embraces the same number of points closest toxval[i]
, ignoring zero weights. - updateBD(double) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Update B and D from C.
- updateBD(double) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Update B and D from C.
- updateClusterCenters() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
-
Update the cluster centers.
- updateCovariance(boolean, RealMatrix, RealMatrix, int[], RealMatrix) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Update of the covariance matrix C.
- updateCovariance(boolean, RealMatrix, RealMatrix, int[], RealMatrix) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Update of the covariance matrix C.
- updateCovarianceDiagonalOnly(boolean, RealMatrix) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Update of the covariance matrix C for diagonalOnly > 0
- updateCovarianceDiagonalOnly(boolean, RealMatrix) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Update of the covariance matrix C for diagonalOnly > 0
- updateDesiredPosition() - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Marker
-
Update desired Position with increment.
- updateDesiredPositions() - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.Markers
-
Desired positions incremented by bucket width.
- updateEvolutionPaths(RealMatrix, RealMatrix) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Update of the evolution paths ps and pc.
- updateEvolutionPaths(RealMatrix, RealMatrix) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Update of the evolution paths ps and pc.
- updateFormula - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
-
Update formula for the beta parameter.
- updateFormula - Variable in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
-
Deprecated.Update formula for the beta parameter.
- updateHighOrderDerivativesPhase1(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsFieldIntegrator
-
Update the high order scaled derivatives for Adams integrators (phase 1).
- updateHighOrderDerivativesPhase1(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckFieldTransformer
-
Update the high order scaled derivatives for Adams integrators (phase 1).
- updateHighOrderDerivativesPhase1(Array2DRowRealMatrix) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
-
Update the high order scaled derivatives for Adams integrators (phase 1).
- updateHighOrderDerivativesPhase1(Array2DRowRealMatrix) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
-
Update the high order scaled derivatives for Adams integrators (phase 1).
- updateHighOrderDerivativesPhase2(double[], double[], Array2DRowRealMatrix) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
-
Update the high order scaled derivatives Adams integrators (phase 2).
- updateHighOrderDerivativesPhase2(double[], double[], Array2DRowRealMatrix) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
-
Update the high order scaled derivatives Adams integrators (phase 2).
- updateHighOrderDerivativesPhase2(T[], T[], Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsFieldIntegrator
-
Update the high order scaled derivatives Adams integrators (phase 2).
- updateHighOrderDerivativesPhase2(T[], T[], Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckFieldTransformer
-
Update the high order scaled derivatives Adams integrators (phase 2).
- updateHull(Vector2D, List<Vector2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.hull.MonotoneChain
-
Update the partial hull with the current point.
- updateJacobian() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.As of 3.1. Please use
AbstractLeastSquaresOptimizer.computeWeightedJacobian(double[])
instead. - updateMembershipMatrix() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
-
Updates the membership matrix and assigns the points to the cluster with the highest membership.
- updateNeighbouringNeuron(Neuron, double[], double) - Method in class org.apache.commons.math3.ml.neuralnet.sofm.KohonenUpdateAction
-
Atomically updates the given neuron.
- updateNorms() - Method in class org.apache.commons.math3.linear.SymmLQ.State
-
Computes the norms of the residuals, and checks for convergence.
- updateResidualsAndCost() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
- updates - Variable in class org.apache.commons.math3.ode.events.EventFilter
-
Update time of the transformers.
- UpdatingMultipleLinearRegression - Interface in org.apache.commons.math3.stat.regression
-
An interface for regression models allowing for dynamic updating of the data.
- upper - Variable in class org.apache.commons.math3.distribution.UniformIntegerDistribution
-
Upper bound (inclusive) of this distribution.
- upper - Variable in class org.apache.commons.math3.distribution.UniformRealDistribution
-
Upper bound of this distribution (exclusive).
- upper - Variable in class org.apache.commons.math3.geometry.euclidean.oned.Interval
-
The upper bound of the interval.
- upper - Variable in class org.apache.commons.math3.geometry.spherical.oned.Arc
-
The upper angular bound of the arc.
- upper - Variable in class org.apache.commons.math3.linear.RRQRDecomposition.Solver
-
Upper level solver.
- upper - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.UpperBoundMapper
-
Upper bound.
- upper - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionPenaltyAdapter
-
Upper bounds.
- upper - Variable in class org.apache.commons.math3.optim.SimpleBounds
-
Upper bounds.
- upper - Variable in class org.apache.commons.math3.optim.univariate.SearchInterval
-
Upper bound.
- upper - Variable in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.UpperBoundMapper
-
Deprecated.Upper bound.
- upper - Variable in class org.apache.commons.math3.optimization.direct.MultivariateFunctionPenaltyAdapter
-
Deprecated.Upper bounds.
- upper - Variable in class org.apache.commons.math3.optimization.SimpleBounds
-
Deprecated.Upper bounds.
- upperBound - Variable in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
-
Upper bounds.
- upperBound - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
-
Deprecated.Upper bounds.
- upperBound - Variable in class org.apache.commons.math3.stat.interval.ConfidenceInterval
-
Upper endpoint of the interval
- UpperBoundMapper(double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter.UpperBoundMapper
-
Simple constructor.
- UpperBoundMapper(double) - Constructor for class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter.UpperBoundMapper
-
Deprecated.Simple constructor.
- upperBounds - Variable in class org.apache.commons.math3.random.EmpiricalDistribution
-
upper bounds of subintervals in (0,1) "belonging" to the bins
- upperCumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
-
For this distribution,
X
, this method returnsP(X >= x)
. - upperDifference - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Differences
BaseMultivariateOptimizer.getUpperBound()
-BOBYQAOptimizer.originShift
All the components of everyBOBYQAOptimizer.trustRegionCenterOffset
are going to satisfy the bounds
BOBYQAOptimizer.trustRegionCenterOffset
i ≤upperBound
i,
with appropriate equalities whenBOBYQAOptimizer.trustRegionCenterOffset
is on a constraint boundary. - upperDifference - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Differences
BaseAbstractMultivariateOptimizer.getUpperBound()
-BOBYQAOptimizer.originShift
All the components of everyBOBYQAOptimizer.trustRegionCenterOffset
are going to satisfy the bounds
BOBYQAOptimizer.trustRegionCenterOffset
i ≤upperBound
i,
with appropriate equalities whenBOBYQAOptimizer.trustRegionCenterOffset
is on a constraint boundary. - UPSIDE - Enum constant in enum org.apache.commons.math3.stat.descriptive.moment.SemiVariance.Direction
-
The UPSIDE Direction is used to specify that the observations above the cutoff point will be used to calculate SemiVariance
- UPSIDE_VARIANCE - Static variable in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
The UPSIDE Direction is used to specify that the observations above the cutoff point will be used to calculate SemiVariance.
- URL_CONTAINS_NO_DATA - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- useInterpolationError - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
-
use interpolation error in stepsize control.
- useLU - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.GaussNewtonOptimizer
-
Deprecated.Indicator for using LU decomposition.
- useLU - Variable in class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
-
Deprecated.Indicator for using LU decomposition.
- USER_EXCEPTION - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
V
- v - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils.JacobiKey
-
First exponent.
- v - Variable in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor
-
Ordinate axis of the projection plane.
- v - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Second vector of the plane frame (in plane).
- v - Variable in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
-
Cartesian coordinates.
- v - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Vectors for interpolation.
- v - Variable in class org.apache.commons.math3.random.AbstractWell
-
Bytes pool.
- v1 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
First vector for interpolation.
- v2 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Second vector for interpolation.
- v3 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Third vector for interpolation.
- v4 - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Fourth vector for interpolation.
- validate(RealVector) - Method in interface org.apache.commons.math3.fitting.leastsquares.ParameterValidator
-
Validates the set of parameters.
- validateCovarianceData(double[][], double[][]) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Validates that the x data and covariance matrix have the same number of rows and that the covariance matrix is square.
- validateParameters(double[]) - Method in class org.apache.commons.math3.analysis.function.Gaussian.Parametric
-
Validates parameters to ensure they are appropriate for the evaluation of the
Gaussian.Parametric.value(double,double[])
andGaussian.Parametric.gradient(double,double[])
methods. - validateParameters(double[]) - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator.Parametric
-
Validates parameters to ensure they are appropriate for the evaluation of the
HarmonicOscillator.Parametric.value(double,double[])
andHarmonicOscillator.Parametric.gradient(double,double[])
methods. - validateParameters(double[]) - Method in class org.apache.commons.math3.analysis.function.Logistic.Parametric
-
Validates parameters to ensure they are appropriate for the evaluation of the
Logistic.Parametric.value(double,double[])
andLogistic.Parametric.gradient(double,double[])
methods. - validateParameters(double[]) - Method in class org.apache.commons.math3.analysis.function.Logit.Parametric
-
Validates parameters to ensure they are appropriate for the evaluation of the
Logit.Parametric.value(double,double[])
andLogit.Parametric.gradient(double,double[])
methods. - validateParameters(double[]) - Method in class org.apache.commons.math3.analysis.function.Sigmoid.Parametric
-
Validates parameters to ensure they are appropriate for the evaluation of the
Sigmoid.Parametric.value(double,double[])
andSigmoid.Parametric.gradient(double,double[])
methods. - validateSampleData(double[][], double[]) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Validates sample data.
- vals - Variable in class org.apache.commons.math3.special.BesselJ.BesselJResult
-
Bessel function values
- value - Variable in class org.apache.commons.math3.analysis.differentiation.SparseGradient
-
Value of the calculation.
- value - Variable in class org.apache.commons.math3.distribution.ConstantRealDistribution
-
Constant value of the distribution
- value - Variable in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory.LocalValueAndJacobianFunction
-
Model.
- value - Variable in class org.apache.commons.math3.fitting.leastsquares.OptimumImpl
-
abscissa and ordinate
- value - Variable in class org.apache.commons.math3.ml.neuralnet.MapUtils.PairNeuronDouble
-
Value.
- value - Variable in class org.apache.commons.math3.optim.linear.LinearConstraint
-
Value of the constraint (right hand side).
- value - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.DoubleIndex
-
Value to compare.
- value - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.ValuePenaltyPair
-
Objective function value.
- value - Variable in class org.apache.commons.math3.optim.PointValuePair.DataTransferObject
-
Value of the objective function at the point.
- value - Variable in class org.apache.commons.math3.optim.PointVectorValuePair.DataTransferObject
-
Value of the objective function at the point.
- value - Variable in class org.apache.commons.math3.optim.univariate.UnivariatePointValuePair
-
Value of the objective function at the point.
- value - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.DoubleIndex
-
Deprecated.Value to compare.
- value - Variable in class org.apache.commons.math3.optimization.linear.LinearConstraint
-
Deprecated.Value of the constraint (right hand side).
- value - Variable in class org.apache.commons.math3.optimization.PointValuePair.DataTransferObject
-
Deprecated.Value of the objective function at the point.
- value - Variable in class org.apache.commons.math3.optimization.PointVectorValuePair.DataTransferObject
-
Deprecated.Value of the objective function at the point.
- value - Variable in class org.apache.commons.math3.optimization.univariate.UnivariatePointValuePair
-
Deprecated.Value of the objective function at the point.
- value - Variable in class org.apache.commons.math3.stat.descriptive.rank.Max
-
Current value of the statistic
- value - Variable in class org.apache.commons.math3.stat.descriptive.rank.Min
-
Current value of the statistic
- value - Variable in class org.apache.commons.math3.stat.descriptive.summary.Product
-
The current Running Product.
- value - Variable in class org.apache.commons.math3.stat.descriptive.summary.Sum
-
The currently running sum.
- value - Variable in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
-
The currently running value
- value - Variable in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
-
The currently running sumSq
- value - Variable in class org.apache.commons.math3.stat.ranking.NaturalRanking.IntDoublePair
-
Value of the pair
- value - Variable in class org.apache.commons.math3.util.Decimal64
-
The primitive
double
value of this object. - value - Variable in class org.apache.commons.math3.util.MathArrays.PairDoubleInteger
-
Value
- value - Variable in class org.apache.commons.math3.util.Pair
-
Value.
- value() - Method in interface org.apache.commons.math3.ml.neuralnet.FeatureInitializer
-
Selects the initial value.
- value() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator
-
Get the value of current entry.
- value() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator
-
Get the value of current entry.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Abs
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Acos
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Acosh
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Asin
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Asinh
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Atan
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Atanh
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Cbrt
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Ceil
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Constant
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Cos
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Cosh
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Exp
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Expm1
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Floor
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Gaussian
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Identity
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Inverse
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Log
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Log10
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Log1p
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Logistic
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Logit
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Minus
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Power
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Rint
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Sigmoid
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Signum
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Sin
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Sinc
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Sinh
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Sqrt
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.StepFunction
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Tan
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Tanh
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.function.Ulp
-
Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
-
Interpolate value at a specified abscissa.
- value(double) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
-
Compute the value of the function for the given argument.
- value(double) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
-
Calculate the function value at the given point.
- value(double) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
-
Calculate the function value at the given point.
- value(double) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
-
Compute the value for the function.
- value(double) - Method in interface org.apache.commons.math3.analysis.UnivariateFunction
-
Compute the value of the function.
- value(double) - Method in interface org.apache.commons.math3.analysis.UnivariateMatrixFunction
-
Compute the value for the function.
- value(double) - Method in interface org.apache.commons.math3.analysis.UnivariateVectorFunction
-
Compute the value for the function.
- value(double) - Method in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer.LineSearchFunction
-
Deprecated.Compute the value of the function.
- value(double) - Method in class org.apache.commons.math3.special.BesselJ
-
Returns the value of the constructed Bessel function of the first kind, for the passed argument.
- value(double[]) - Method in class org.apache.commons.math3.analysis.differentiation.GradientFunction
-
Compute the value for the function at the given point.
- value(double[]) - Method in class org.apache.commons.math3.analysis.differentiation.JacobianFunction
-
Compute the value for the function at the given point.
- value(double[]) - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction
-
Deprecated.
- value(double[]) - Method in interface org.apache.commons.math3.analysis.MultivariateFunction
-
Compute the value for the function at the given point.
- value(double[]) - Method in interface org.apache.commons.math3.analysis.MultivariateMatrixFunction
-
Compute the value for the function at the given point.
- value(double[]) - Method in interface org.apache.commons.math3.analysis.MultivariateVectorFunction
-
Compute the value for the function at the given point.
- value(double[]) - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
-
Computes the value of the linear equation at the current point.
- value(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter
-
Compute the value for the function at the given point.
- value(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter
-
Compute the underlying function value from an unbounded point.
- value(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionPenaltyAdapter
-
Computes the underlying function value from an unbounded point.
- value(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.FitnessFunction
- value(double[]) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.FitnessFunction
-
Deprecated.
- value(double[]) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter
-
Deprecated.Compute the underlying function value from an unbounded point.
- value(double[]) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionPenaltyAdapter
-
Deprecated.Compute the underlying function value from an unbounded point.
- value(double[]) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter.OldTheoreticalValuesFunction
-
Deprecated.Compute the value for the function at the given point.
- value(double[]) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter.TheoreticalValuesFunction
-
Deprecated.Compute the value for the function at the given point.
- value(double[]) - Method in class org.apache.commons.math3.optimization.LeastSquaresConverter
-
Deprecated.Compute the value for the function at the given point.
- value(double[], double[][], double[], double, double) - Method in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere
-
Estimate the value at the requested location.
- value(double, double) - Method in interface org.apache.commons.math3.analysis.BivariateFunction
-
Compute the value for the function.
- value(double, double) - Method in class org.apache.commons.math3.analysis.function.Add
-
Compute the value for the function.
- value(double, double) - Method in class org.apache.commons.math3.analysis.function.Atan2
-
Compute the value for the function.
- value(double, double) - Method in class org.apache.commons.math3.analysis.function.Divide
-
Compute the value for the function.
- value(double, double) - Static method in class org.apache.commons.math3.analysis.function.HarmonicOscillator
- value(double, double) - Method in class org.apache.commons.math3.analysis.function.Max
-
Compute the value for the function.
- value(double, double) - Method in class org.apache.commons.math3.analysis.function.Min
-
Compute the value for the function.
- value(double, double) - Method in class org.apache.commons.math3.analysis.function.Multiply
-
Compute the value for the function.
- value(double, double) - Method in class org.apache.commons.math3.analysis.function.Pow
-
Compute the value for the function.
- value(double, double) - Method in class org.apache.commons.math3.analysis.function.Subtract
-
Compute the value for the function.
- value(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicFunction
-
Compute the value for the function.
- value(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicInterpolatingFunction
-
Compute the value for the function.
- value(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineFunction
-
Compute the value for the function.
- value(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
-
Deprecated.Compute the value for the function.
- value(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.PiecewiseBicubicSplineInterpolatingFunction
-
Compute the value for the function.
- value(double, double) - Static method in class org.apache.commons.math3.special.BesselJ
-
Returns the first Bessel function, \(J_{order}(x)\).
- value(double, double...) - Method in class org.apache.commons.math3.analysis.function.Gaussian.Parametric
-
Computes the value of the Gaussian at
x
. - value(double, double...) - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator.Parametric
-
Computes the value of the harmonic oscillator at
x
. - value(double, double...) - Method in class org.apache.commons.math3.analysis.function.Logistic.Parametric
-
Computes the value of the sigmoid at
x
. - value(double, double...) - Method in class org.apache.commons.math3.analysis.function.Logit.Parametric
-
Computes the value of the logit at
x
. - value(double, double...) - Method in class org.apache.commons.math3.analysis.function.Sigmoid.Parametric
-
Computes the value of the sigmoid at
x
. - value(double, double...) - Method in interface org.apache.commons.math3.analysis.ParametricUnivariateFunction
-
Compute the value of the function.
- value(double, double...) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction.Parametric
-
Compute the value of the function.
- value(double, double, double) - Static method in class org.apache.commons.math3.analysis.function.Gaussian
- value(double, double, double) - Static method in class org.apache.commons.math3.analysis.function.Logit
- value(double, double, double) - Static method in class org.apache.commons.math3.analysis.function.Sigmoid
- value(double, double, double) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicFunction
- value(double, double, double) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicInterpolatingFunction
-
Compute the value for the function.
- value(double, double, double) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicSplineFunction
- value(double, double, double) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolatingFunction
-
Deprecated.Compute the value for the function.
- value(double, double, double) - Method in interface org.apache.commons.math3.analysis.TrivariateFunction
-
Compute the value for the function.
- value(double, double, double, double, double, double) - Static method in class org.apache.commons.math3.analysis.function.Logistic
- value(long) - Method in interface org.apache.commons.math3.ml.neuralnet.sofm.LearningFactorFunction
-
Computes the learning rate at the current call.
- value(long) - Method in interface org.apache.commons.math3.ml.neuralnet.sofm.NeighbourhoodSizeFunction
-
Computes the neighbourhood size at the current call.
- value(long) - Method in class org.apache.commons.math3.ml.neuralnet.sofm.util.ExponentialDecayFunction
-
Computes
a e-numCall / b
. - value(long) - Method in class org.apache.commons.math3.ml.neuralnet.sofm.util.QuasiSigmoidDecayFunction
-
Computes the value of the learning factor.
- value(DerivativeStructure) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableFunction
-
Simple mathematical function.
- value(DerivativeStructure) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableMatrixFunction
-
Compute the value for the function.
- value(DerivativeStructure) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableVectorFunction
-
Compute the value for the function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Acos
-
Simple mathematical function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Acosh
-
Simple mathematical function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Asin
-
Simple mathematical function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Asinh
-
Simple mathematical function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Atan
-
Simple mathematical function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Atanh
-
Simple mathematical function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Cbrt
-
Simple mathematical function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Constant
-
Simple mathematical function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Cos
-
Simple mathematical function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Cosh
-
Simple mathematical function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Exp
-
Simple mathematical function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Expm1
-
Simple mathematical function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Gaussian
-
Simple mathematical function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator
-
Simple mathematical function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Identity
-
Simple mathematical function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Inverse
-
Simple mathematical function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Log
-
Simple mathematical function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Log10
-
Simple mathematical function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Log1p
-
Simple mathematical function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Logistic
-
Simple mathematical function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Logit
-
Simple mathematical function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Minus
-
Simple mathematical function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Power
-
Simple mathematical function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sigmoid
-
Simple mathematical function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sin
-
Simple mathematical function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sinc
-
Simple mathematical function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sinh
-
Simple mathematical function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sqrt
-
Simple mathematical function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Tan
-
Simple mathematical function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Tanh
-
Simple mathematical function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
-
Interpolate value at a specified abscissa.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
-
Simple mathematical function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
-
Simple mathematical function.
- value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
-
Simple mathematical function.
- value(DerivativeStructure[]) - Method in interface org.apache.commons.math3.analysis.differentiation.MultivariateDifferentiableFunction
-
Compute the value for the function at the given point.
- value(DerivativeStructure[]) - Method in interface org.apache.commons.math3.analysis.differentiation.MultivariateDifferentiableVectorFunction
-
Compute the value for the function at the given point.
- value(DerivativeStructure[]) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter.TheoreticalValuesFunction
-
Deprecated.Compute the value for the function at the given point.
- value(Dfp) - Method in interface org.apache.commons.math3.dfp.UnivariateDfpFunction
-
Deprecated.Compute the value of the function.
- value(RealVector) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory.LocalValueAndJacobianFunction
-
Compute the function value and its Jacobian.
- value(RealVector) - Method in interface org.apache.commons.math3.fitting.leastsquares.MultivariateJacobianFunction
-
Compute the function value and its Jacobian.
- value(RealVector) - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
-
Computes the value of the linear equation at the current point.
- value(T) - Method in class org.apache.commons.math3.analysis.interpolation.FieldHermiteInterpolator
-
Interpolate value at a specified abscissa.
- value(T) - Method in interface org.apache.commons.math3.analysis.RealFieldUnivariateFunction
-
Compute the value of the function.
- ValueAndJacobianFunction - Interface in org.apache.commons.math3.fitting.leastsquares
-
A interface for functions that compute a vector of values and can compute their derivatives (Jacobian).
- valueOf(double) - Static method in class org.apache.commons.math3.complex.Complex
-
Create a complex number given only the real part.
- valueOf(double, double) - Static method in class org.apache.commons.math3.complex.Complex
-
Create a complex number given the real and imaginary parts.
- valueOf(String) - Static method in enum org.apache.commons.math3.analysis.solvers.AllowedSolution
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.analysis.solvers.BaseSecantSolver.Method
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.dfp.DfpField.RoundingMode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.exception.util.LocalizedFormats
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer.Decomposition
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.geometry.euclidean.threed.RotationConvention
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor.Order
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.geometry.partitioning.Region.Location
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.geometry.partitioning.Side
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Skew
-
Deprecated.Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.ml.clustering.DBSCANClusterer.PointStatus
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.ml.neuralnet.SquareNeighbourhood
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D.HorizontalDirection
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D.VerticalDirection
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.ode.events.Action
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.ode.events.EventHandler.Action
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.ode.events.FilterType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.ode.events.Transformer
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.ode.sampling.StepNormalizerMode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.optim.linear.PivotSelectionRule
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.optim.linear.Relationship
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.optim.nonlinear.scalar.GoalType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.Formula
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.optimization.general.ConjugateGradientFormula
-
Deprecated.Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.optimization.GoalType
-
Deprecated.Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.optimization.linear.Relationship
-
Deprecated.Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.stat.clustering.DBSCANClusterer.PointStatus
-
Deprecated.Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
-
Deprecated.Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.stat.descriptive.moment.SemiVariance.Direction
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.stat.inference.AlternativeHypothesis
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.stat.ranking.NaNStrategy
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.stat.ranking.TiesStrategy
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.transform.DctNormalization
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.transform.DftNormalization
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.transform.DstNormalization
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.transform.TransformType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.util.Combinations.IterationOrder
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.util.MathArrays.OrderDirection
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.util.MathArrays.Position
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum org.apache.commons.math3.util.ResizableDoubleArray.ExpansionMode
-
Returns the enum constant of this type with the specified name.
- ValuePenaltyPair(double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.ValuePenaltyPair
- valueRange - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.FitnessFunction
-
Deprecated.Determines the penalty for boundary violations
- valueRange(CMAESOptimizer.ValuePenaltyPair[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Get range of values.
- values - Variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
-
Values table.
- values - Variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
-
Values table.
- values() - Static method in enum org.apache.commons.math3.analysis.solvers.AllowedSolution
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.analysis.solvers.BaseSecantSolver.Method
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.dfp.DfpField.RoundingMode
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.exception.util.LocalizedFormats
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer.Decomposition
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.geometry.euclidean.threed.RotationConvention
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor.Order
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.geometry.partitioning.Region.Location
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.geometry.partitioning.Side
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Skew
-
Deprecated.Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.ml.clustering.DBSCANClusterer.PointStatus
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.ml.neuralnet.SquareNeighbourhood
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D.HorizontalDirection
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D.VerticalDirection
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.ode.events.Action
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.ode.events.EventHandler.Action
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.ode.events.FilterType
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.ode.events.Transformer
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.ode.sampling.StepNormalizerMode
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.optim.linear.PivotSelectionRule
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.optim.linear.Relationship
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.optim.nonlinear.scalar.GoalType
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.Formula
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.optimization.general.ConjugateGradientFormula
-
Deprecated.Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.optimization.GoalType
-
Deprecated.Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.optimization.linear.Relationship
-
Deprecated.Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.stat.clustering.DBSCANClusterer.PointStatus
-
Deprecated.Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
-
Deprecated.Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.stat.descriptive.moment.SemiVariance.Direction
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.stat.inference.AlternativeHypothesis
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.stat.ranking.NaNStrategy
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.stat.ranking.TiesStrategy
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.transform.DctNormalization
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.transform.DftNormalization
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.transform.DstNormalization
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.transform.TransformType
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.util.Combinations.IterationOrder
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.util.MathArrays.OrderDirection
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.util.MathArrays.Position
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum org.apache.commons.math3.util.ResizableDoubleArray.ExpansionMode
-
Returns an array containing the constants of this enum type, in the order they are declared.
- VALUES_ADDED_BEFORE_CONFIGURING_STATISTIC - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- ValueServer - Class in org.apache.commons.math3.random
-
Generates values for use in simulation applications.
- ValueServer() - Constructor for class org.apache.commons.math3.random.ValueServer
-
Creates new ValueServer
- ValueServer(RandomDataImpl) - Constructor for class org.apache.commons.math3.random.ValueServer
-
Deprecated.
- ValueServer(RandomGenerator) - Constructor for class org.apache.commons.math3.random.ValueServer
-
Construct a ValueServer instance using a RandomGenerator as its source of random data.
- valuesFileURL - Variable in class org.apache.commons.math3.random.ValueServer
-
URI to raw data values.
- valuesIterator() - Method in class org.apache.commons.math3.stat.Frequency
-
Returns an Iterator over the set of values that have been added.
- VanishingToLeaf(boolean) - Constructor for class org.apache.commons.math3.geometry.partitioning.RegionFactory.VanishingToLeaf
-
Simple constructor.
- varCovData - Variable in class org.apache.commons.math3.stat.regression.RegressionResults
-
variance covariance matrix of parameters
- variables - Variable in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure.DataTransferObject
-
Number of variables.
- variance - Variable in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
-
Wrapped Variance instance
- variance - Variable in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
-
The sample variance
- variance - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
variance of values that have been added
- variance(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the variance of the entries in the input array, or
Double.NaN
if the array is empty. - variance(double[], double) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the variance of the entries in the input array, using the precomputed mean value.
- variance(double[], double, int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the variance of the entries in the specified portion of the input array, using the precomputed mean value.
- variance(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the variance of the entries in the specified portion of the input array, or
Double.NaN
if the designated subarray is empty. - Variance - Class in org.apache.commons.math3.stat.descriptive.moment
-
Computes the variance of the available values.
- Variance() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Constructs a Variance with default (true)
isBiasCorrected
property. - Variance(boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Constructs a Variance with the specified
isBiasCorrected
property - Variance(boolean, SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Constructs a Variance with the specified
isBiasCorrected
property and the supplied external second moment. - Variance(SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Constructs a Variance based on an external second moment.
- Variance(Variance) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance
-
Copy constructor, creates a new
Variance
identical to theoriginal
- VARIANCE - Static variable in class org.apache.commons.math3.stat.StatUtils
-
variance
- varianceDifference(double[], double[], double) - Static method in class org.apache.commons.math3.stat.StatUtils
-
Returns the variance of the (signed) differences between corresponding elements of the input arrays -- i.e., var(sample1[i] - sample2[i]).
- varianceDirection - Variable in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
-
Determines whether to calculate downside or upside SemiVariance.
- varianceImpl - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
Variance statistic implementation - can be reset by setter.
- varianceImpl - Variable in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
Variance statistic implementation - can be reset by setter.
- vecAbsoluteTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
-
Allowed absolute vectorial error.
- vecAbsoluteTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Allowed absolute vectorial error.
- vecRelativeTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
-
Allowed relative vectorial error.
- vecRelativeTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
-
Allowed relative vectorial error.
- vector - Variable in class org.apache.commons.math3.geometry.spherical.oned.S1Point
-
Corresponding 2D normalized vector.
- vector - Variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point
-
Corresponding 3D normalized vector.
- vector(double, double) - Static method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
-
Build the normalized vector corresponding to spherical coordinates.
- vector(double, double, double) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
-
Create a constant vector.
- Vector<S> - Interface in org.apache.commons.math3.geometry
-
This interface represents a generic vector in a vectorial space or a point in an affine space.
- VECTOR - Static variable in class org.apache.commons.math3.linear.ConjugateGradient
-
Key for the exception context.
- VECTOR - Static variable in class org.apache.commons.math3.linear.SymmLQ
-
Key for the exception context.
- VECTOR_LENGTH_MISMATCH - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- VECTOR_MUST_HAVE_AT_LEAST_ONE_ELEMENT - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- VECTOR_OPERATOR - Enum constant in enum org.apache.commons.math3.geometry.euclidean.threed.RotationConvention
-
Constant for rotation that have the semantics of a vector operator.
- VECTOR1 - Static variable in class org.apache.commons.math3.linear.SymmLQ
-
Key for the exception context.
- Vector1D - Class in org.apache.commons.math3.geometry.euclidean.oned
-
This class represents a 1D vector.
- Vector1D(double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Simple constructor.
- Vector1D(double, Vector1D) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Multiplicative constructor Build a vector from another one and a scale factor.
- Vector1D(double, Vector1D, double, Vector1D) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Linear constructor Build a vector from two other ones and corresponding scale factors.
- Vector1D(double, Vector1D, double, Vector1D, double, Vector1D) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Linear constructor Build a vector from three other ones and corresponding scale factors.
- Vector1D(double, Vector1D, double, Vector1D, double, Vector1D, double, Vector1D) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Linear constructor Build a vector from four other ones and corresponding scale factors.
- Vector1DFormat - Class in org.apache.commons.math3.geometry.euclidean.oned
-
Formats a 1D vector in components list format "{x}".
- Vector1DFormat() - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
-
Create an instance with default settings.
- Vector1DFormat(String, String) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
-
Create an instance with custom prefix, suffix and separator.
- Vector1DFormat(String, String, NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
-
Create an instance with custom prefix, suffix, separator and format for components.
- Vector1DFormat(NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
-
Create an instance with a custom number format for components.
- VECTOR2 - Static variable in class org.apache.commons.math3.linear.SymmLQ
-
Key for the exception context.
- Vector2D - Class in org.apache.commons.math3.geometry.euclidean.twod
-
This class represents a 2D vector.
- Vector2D(double[]) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Simple constructor.
- Vector2D(double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Simple constructor.
- Vector2D(double, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Multiplicative constructor Build a vector from another one and a scale factor.
- Vector2D(double, Vector2D, double, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Linear constructor Build a vector from two other ones and corresponding scale factors.
- Vector2D(double, Vector2D, double, Vector2D, double, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Linear constructor Build a vector from three other ones and corresponding scale factors.
- Vector2D(double, Vector2D, double, Vector2D, double, Vector2D, double, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Linear constructor Build a vector from four other ones and corresponding scale factors.
- Vector2DFormat - Class in org.apache.commons.math3.geometry.euclidean.twod
-
Formats a 2D vector in components list format "{x; y}".
- Vector2DFormat() - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
-
Create an instance with default settings.
- Vector2DFormat(String, String, String) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
-
Create an instance with custom prefix, suffix and separator.
- Vector2DFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
-
Create an instance with custom prefix, suffix, separator and format for components.
- Vector2DFormat(NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
-
Create an instance with a custom number format for components.
- Vector3D - Class in org.apache.commons.math3.geometry.euclidean.threed
-
This class implements vectors in a three-dimensional space.
- Vector3D(double[]) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Simple constructor.
- Vector3D(double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Simple constructor.
- Vector3D(double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Simple constructor.
- Vector3D(double, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Multiplicative constructor Build a vector from another one and a scale factor.
- Vector3D(double, Vector3D, double, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Linear constructor Build a vector from two other ones and corresponding scale factors.
- Vector3D(double, Vector3D, double, Vector3D, double, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Linear constructor Build a vector from three other ones and corresponding scale factors.
- Vector3D(double, Vector3D, double, Vector3D, double, Vector3D, double, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Linear constructor Build a vector from four other ones and corresponding scale factors.
- Vector3DFormat - Class in org.apache.commons.math3.geometry.euclidean.threed
-
Formats a 3D vector in components list format "{x; y; z}".
- Vector3DFormat() - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
-
Create an instance with default settings.
- Vector3DFormat(String, String, String) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
-
Create an instance with custom prefix, suffix and separator.
- Vector3DFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
-
Create an instance with custom prefix, suffix, separator and format for components.
- Vector3DFormat(NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
-
Create an instance with a custom number format for components.
- VectorFormat<S> - Class in org.apache.commons.math3.geometry
-
Formats a vector in components list format "{x; y; ...}".
- VectorFormat() - Constructor for class org.apache.commons.math3.geometry.VectorFormat
-
Create an instance with default settings.
- VectorFormat(String, String, String) - Constructor for class org.apache.commons.math3.geometry.VectorFormat
-
Create an instance with custom prefix, suffix and separator.
- VectorFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.geometry.VectorFormat
-
Create an instance with custom prefix, suffix, separator and format for components.
- VectorFormat(NumberFormat) - Constructor for class org.apache.commons.math3.geometry.VectorFormat
-
Create an instance with a custom number format for components.
- VectorialCovariance - Class in org.apache.commons.math3.stat.descriptive.moment
-
Returns the covariance matrix of the available vectors.
- VectorialCovariance(int, boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
-
Constructs a VectorialCovariance.
- VectorialMean - Class in org.apache.commons.math3.stat.descriptive.moment
-
Returns the arithmetic mean of the available vectors.
- VectorialMean(int) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
-
Constructs a VectorialMean.
- vectorsInitialized - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince54StepInterpolator
-
Initialization indicator for the interpolation vectors.
- vectorsInitialized - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Initialization indicator for the interpolation vectors.
- verifyBracketing(double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Check that the endpoints specify an interval and the function takes opposite signs at the endpoints.
- verifyBracketing(UnivariateFunction, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
-
Check that the endpoints specify an interval and the end points bracket a root.
- verifyInputArray(double[], double[]) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
-
Verifies that the input arrays are valid.
- verifyInterpolationArray(double[], double[], boolean) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
-
Check that the interpolation arrays are valid.
- verifyInterval(double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Check that the endpoints specify an interval.
- verifyInterval(double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
-
Check that the endpoints specify an interval.
- verifySequence(double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
-
Check that
lower < initial < upper
. - verifySequence(double, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
-
Check that
lower < initial < upper
. - verifyValues(double[], double[], int, int) - Static method in class org.apache.commons.math3.util.MathArrays
-
This method is used to verify that the begin and length parameters designate a subarray of positive length and the weights are all non-negative, non-NaN, finite, and not all zero.
- verifyValues(double[], double[], int, int, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
-
This method is used to verify that the begin and length parameters designate a subarray of positive length and the weights are all non-negative, non-NaN, finite, and not all zero.
- verifyValues(double[], int, int) - Static method in class org.apache.commons.math3.util.MathArrays
-
This method is used to verify that the input parameters designate a subarray of positive length.
- verifyValues(double[], int, int, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
-
This method is used to verify that the input parameters designate a subarray of positive length.
- Vertex - Class in org.apache.commons.math3.geometry.spherical.twod
-
Spherical polygons boundary vertex.
- Vertex(Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.Vertex
-
Build a non-processed vertex not owned by any node yet.
- Vertex(S2Point) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.Vertex
-
Build a non-processed vertex not owned by any node yet.
- VerticalDirection() - Constructor for enum org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D.VerticalDirection
- vertices - Variable in class org.apache.commons.math3.geometry.euclidean.twod.hull.ConvexHull2D
-
Vertices of the hull.
- vertices - Variable in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
-
Vertices organized as boundary loops.
- verticesToTree(double, Vector2D...) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
-
Build the BSP tree of a polygons set from a simple list of vertices.
- verticesToTree(double, S2Point...) - Static method in class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
-
Build the BSP tree of a polygons set from a simple list of vertices.
- virtualSize - Variable in class org.apache.commons.math3.linear.OpenMapRealVector
-
Dimension of the vector.
- virtualSize - Variable in class org.apache.commons.math3.linear.SparseFieldVector
-
Dimension of the vector.
- visit(int, double) - Method in interface org.apache.commons.math3.linear.RealVectorChangingVisitor
-
Visit one entry of the vector.
- visit(int, double) - Method in interface org.apache.commons.math3.linear.RealVectorPreservingVisitor
-
Visit one entry of the vector.
- visit(int, int, double) - Method in class org.apache.commons.math3.linear.DefaultRealMatrixChangingVisitor
-
Visit one matrix entry.
- visit(int, int, double) - Method in class org.apache.commons.math3.linear.DefaultRealMatrixPreservingVisitor
-
Visit one matrix entry.
- visit(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrixChangingVisitor
-
Visit one matrix entry.
- visit(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrixPreservingVisitor
-
Visit one matrix entry.
- visit(int, int, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator.Corrector
-
Visit one matrix entry.
- visit(int, int, BigFraction) - Method in class org.apache.commons.math3.linear.MatrixUtils.BigFractionMatrixConverter
-
Visit one matrix entry.
- visit(int, int, Fraction) - Method in class org.apache.commons.math3.linear.MatrixUtils.FractionMatrixConverter
-
Visit one matrix entry.
- visit(int, int, T) - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixChangingVisitor
-
Visit one matrix entry.
- visit(int, int, T) - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixPreservingVisitor
-
Visit one matrix entry.
- visit(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrixChangingVisitor
-
Visit one matrix entry.
- visit(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrixPreservingVisitor
-
Visit one matrix entry.
- visit(int, int, T) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonFieldIntegrator.Corrector
-
Visit one matrix entry.
- visit(int, T) - Method in interface org.apache.commons.math3.linear.FieldVectorChangingVisitor
-
Visit one entry of the vector.
- visit(int, T) - Method in interface org.apache.commons.math3.linear.FieldVectorPreservingVisitor
-
Visit one entry of the vector.
- visit(BSPTreeVisitor<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
-
Visit the BSP tree nodes.
- visitInternalNode(BSPTree<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor.BoundaryProjector
-
Visit a BSP tree node node having a non-null sub-hyperplane.
- visitInternalNode(BSPTree<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.FacetsContributionVisitor
-
Visit a BSP tree node node having a non-null sub-hyperplane.
- visitInternalNode(BSPTree<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.SegmentsBuilder
-
Visit a BSP tree node node having a non-null sub-hyperplane.
- visitInternalNode(BSPTree<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.EdgesBuilder
-
Visit a BSP tree node node having a non-null sub-hyperplane.
- visitInternalNode(BSPTree<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.PropertiesComputer
-
Visit a BSP tree node node having a non-null sub-hyperplane.
- visitInternalNode(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryBuilder
-
Visit a BSP tree node node having a non-null sub-hyperplane.
- visitInternalNode(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryProjector
-
Visit a BSP tree node node having a non-null sub-hyperplane.
- visitInternalNode(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BoundarySizeVisitor
-
Visit a BSP tree node node having a non-null sub-hyperplane.
- visitInternalNode(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor
-
Visit a BSP tree node node having a non-null sub-hyperplane.
- visitInternalNode(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory.NodesCleaner
-
Visit a BSP tree node node having a non-null sub-hyperplane.
- visitLeafNode(BSPTree<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor.BoundaryProjector
-
Visit a leaf BSP tree node node having a null sub-hyperplane.
- visitLeafNode(BSPTree<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.FacetsContributionVisitor
-
Visit a leaf BSP tree node node having a null sub-hyperplane.
- visitLeafNode(BSPTree<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.SegmentsBuilder
-
Visit a leaf BSP tree node node having a null sub-hyperplane.
- visitLeafNode(BSPTree<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.EdgesBuilder
-
Visit a leaf BSP tree node node having a null sub-hyperplane.
- visitLeafNode(BSPTree<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.PropertiesComputer
-
Visit a leaf BSP tree node node having a null sub-hyperplane.
- visitLeafNode(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryBuilder
-
Visit a leaf BSP tree node node having a null sub-hyperplane.
- visitLeafNode(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryProjector
-
Visit a leaf BSP tree node node having a null sub-hyperplane.
- visitLeafNode(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BoundarySizeVisitor
-
Visit a leaf BSP tree node node having a null sub-hyperplane.
- visitLeafNode(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor
-
Visit a leaf BSP tree node node having a null sub-hyperplane.
- visitLeafNode(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory.NodesCleaner
-
Visit a leaf BSP tree node node having a null sub-hyperplane.
- visitOrder(BSPTree<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor.BoundaryProjector
-
Determine the visit order for this node.
- visitOrder(BSPTree<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet.FacetsContributionVisitor
-
Determine the visit order for this node.
- visitOrder(BSPTree<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet.SegmentsBuilder
-
Determine the visit order for this node.
- visitOrder(BSPTree<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.EdgesBuilder
-
Determine the visit order for this node.
- visitOrder(BSPTree<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.PropertiesComputer
-
Determine the visit order for this node.
- visitOrder(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryBuilder
-
Determine the visit order for this node.
- visitOrder(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryProjector
-
Determine the visit order for this node.
- visitOrder(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BoundarySizeVisitor
-
Determine the visit order for this node.
- visitOrder(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor
-
Determine the visit order for this node.
- visitOrder(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory.NodesCleaner
-
Determine the visit order for this node.
- Visually - Search tag in org.apache.commons.math3.transform.FastHadamardTransformer.fht(double[])
- Section
- vmove(int, int) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
ALGORITHM AS274 APPL.
- VON_NEUMANN - Enum constant in enum org.apache.commons.math3.ml.neuralnet.SquareNeighbourhood
-
invalid input: '<'a href="http://en.wikipedia.org/wiki/Von_Neumann_neighborhood" Von Neumann neighbourhood: in two dimensions, each (internal) neuron has four neighbours.
- vorder - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
order of the regressors
W
- w - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils.JacobiKey
-
Second exponent.
- w - Variable in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor
-
Normal of the projection plane (viewing direction).
- w - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Third vector of the plane frame (plane normal).
- w - Variable in class org.apache.commons.math3.linear.SchurTransformer.ShiftInfo
-
w shift info
- W_SUB_N_I - Static variable in class org.apache.commons.math3.transform.FastFourierTransformer
-
W_SUB_N_I[i]
is the imaginary part ofexp(- 2 * i * pi / n)
:W_SUB_N_I[i] = -sin(2 * pi/ n)
, wheren = 2^i
. - W_SUB_N_R - Static variable in class org.apache.commons.math3.transform.FastFourierTransformer
-
W_SUB_N_R[i]
is the real part ofexp(- 2 * i * pi / n)
:W_SUB_N_R[i] = cos(2 * pi/ n)
, wheren = 2^i
. - walkInColumnOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Visit (and possibly change) all matrix entries in column order.
- walkInColumnOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Visit (and possibly change) all matrix entries in column order.
- walkInColumnOrder(FieldMatrixChangingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Visit (and possibly change) all matrix entries in column order.
- walkInColumnOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Visit (and possibly change) some matrix entries in column order.
- walkInColumnOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Visit (and possibly change) some matrix entries in column order.
- walkInColumnOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Visit (and possibly change) some matrix entries in column order.
- walkInColumnOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Visit (but don't change) all matrix entries in column order.
- walkInColumnOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Visit (but don't change) all matrix entries in column order.
- walkInColumnOrder(FieldMatrixPreservingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Visit (but don't change) all matrix entries in column order.
- walkInColumnOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Visit (but don't change) some matrix entries in column order.
- walkInColumnOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Visit (but don't change) some matrix entries in column order.
- walkInColumnOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Visit (but don't change) some matrix entries in column order.
- walkInColumnOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Visit (and possibly change) all matrix entries in column order.
- walkInColumnOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Visit (and possibly change) all matrix entries in column order.
- walkInColumnOrder(RealMatrixChangingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Visit (and possibly change) all matrix entries in column order.
- walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Visit (and possibly change) some matrix entries in column order.
- walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Visit (and possibly change) some matrix entries in column order.
- walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Visit (and possibly change) some matrix entries in column order.
- walkInColumnOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Visit (but don't change) all matrix entries in column order.
- walkInColumnOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Visit (but don't change) all matrix entries in column order.
- walkInColumnOrder(RealMatrixPreservingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Visit (but don't change) all matrix entries in column order.
- walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Visit (but don't change) some matrix entries in column order.
- walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Visit (but don't change) some matrix entries in column order.
- walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Visit (but don't change) some matrix entries in column order.
- walkInDefaultOrder(FieldVectorChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Visits (and possibly alters) all entries of this vector in default order (increasing index).
- walkInDefaultOrder(FieldVectorChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Visits (and possibly alters) all entries of this vector in default order (increasing index).
- walkInDefaultOrder(FieldVectorChangingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Visits (and possibly alters) some entries of this vector in default order (increasing index).
- walkInDefaultOrder(FieldVectorChangingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Visits (and possibly alters) some entries of this vector in default order (increasing index).
- walkInDefaultOrder(FieldVectorPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Visits (but does not alter) all entries of this vector in default order (increasing index).
- walkInDefaultOrder(FieldVectorPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Visits (but does not alter) all entries of this vector in default order (increasing index).
- walkInDefaultOrder(FieldVectorPreservingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Visits (but does not alter) some entries of this vector in default order (increasing index).
- walkInDefaultOrder(FieldVectorPreservingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Visits (but does not alter) some entries of this vector in default order (increasing index).
- walkInDefaultOrder(RealVectorChangingVisitor) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Visits (and possibly alters) all entries of this vector in default order (increasing index).
- walkInDefaultOrder(RealVectorChangingVisitor) - Method in class org.apache.commons.math3.linear.RealVector
-
Visits (and possibly alters) all entries of this vector in default order (increasing index).
- walkInDefaultOrder(RealVectorChangingVisitor, int, int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Visits (and possibly alters) some entries of this vector in default order (increasing index).
- walkInDefaultOrder(RealVectorChangingVisitor, int, int) - Method in class org.apache.commons.math3.linear.RealVector
-
Visits (and possibly alters) some entries of this vector in default order (increasing index).
- walkInDefaultOrder(RealVectorPreservingVisitor) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Visits (but does not alter) all entries of this vector in default order (increasing index).
- walkInDefaultOrder(RealVectorPreservingVisitor) - Method in class org.apache.commons.math3.linear.RealVector
-
Visits (but does not alter) all entries of this vector in default order (increasing index).
- walkInDefaultOrder(RealVectorPreservingVisitor, int, int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Visits (but does not alter) some entries of this vector in default order (increasing index).
- walkInDefaultOrder(RealVectorPreservingVisitor, int, int) - Method in class org.apache.commons.math3.linear.RealVector
-
Visits (but does not alter) some entries of this vector in default order (increasing index).
- walkInOptimizedOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Visit (and possibly change) all matrix entries using the fastest possible order.
- walkInOptimizedOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Visit (and possibly change) all matrix entries using the fastest possible order.
- walkInOptimizedOrder(FieldMatrixChangingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Visit (and possibly change) all matrix entries using the fastest possible order.
- walkInOptimizedOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Visit (and possibly change) some matrix entries using the fastest possible order.
- walkInOptimizedOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Visit (and possibly change) some matrix entries using the fastest possible order.
- walkInOptimizedOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Visit (and possibly change) some matrix entries using the fastest possible order.
- walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Visit (but don't change) all matrix entries using the fastest possible order.
- walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Visit (but don't change) all matrix entries using the fastest possible order.
- walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Visit (but don't change) all matrix entries using the fastest possible order.
- walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Visit (but don't change) some matrix entries using the fastest possible order.
- walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Visit (but don't change) some matrix entries using the fastest possible order.
- walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Visit (but don't change) some matrix entries using the fastest possible order.
- walkInOptimizedOrder(FieldVectorChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Visits (and possibly alters) all entries of this vector in optimized order.
- walkInOptimizedOrder(FieldVectorChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Visits (and possibly alters) all entries of this vector in optimized order.
- walkInOptimizedOrder(FieldVectorChangingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Visits (and possibly change) some entries of this vector in optimized order.
- walkInOptimizedOrder(FieldVectorChangingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Visits (and possibly change) some entries of this vector in optimized order.
- walkInOptimizedOrder(FieldVectorPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Visits (but does not alter) all entries of this vector in optimized order.
- walkInOptimizedOrder(FieldVectorPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Visits (but does not alter) all entries of this vector in optimized order.
- walkInOptimizedOrder(FieldVectorPreservingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
-
Visits (but does not alter) some entries of this vector in optimized order.
- walkInOptimizedOrder(FieldVectorPreservingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
-
Visits (but does not alter) some entries of this vector in optimized order.
- walkInOptimizedOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Visit (and possibly change) all matrix entries using the fastest possible order.
- walkInOptimizedOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Visit (and possibly change) all matrix entries using the fastest possible order.
- walkInOptimizedOrder(RealMatrixChangingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Visit (and possibly change) all matrix entries using the fastest possible order.
- walkInOptimizedOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Visit (and possibly change) some matrix entries using the fastest possible order.
- walkInOptimizedOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Visit (and possibly change) some matrix entries using the fastest possible order.
- walkInOptimizedOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Visit (and possibly change) some matrix entries using the fastest possible order.
- walkInOptimizedOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Visit (but don't change) all matrix entries using the fastest possible order.
- walkInOptimizedOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Visit (but don't change) all matrix entries using the fastest possible order.
- walkInOptimizedOrder(RealMatrixPreservingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Visit (but don't change) all matrix entries using the fastest possible order.
- walkInOptimizedOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Visit (but don't change) some matrix entries using the fastest possible order.
- walkInOptimizedOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Visit (but don't change) some matrix entries using the fastest possible order.
- walkInOptimizedOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Visit (but don't change) some matrix entries using the fastest possible order.
- walkInOptimizedOrder(RealVectorChangingVisitor) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Visits (and possibly alters) all entries of this vector in optimized order.
- walkInOptimizedOrder(RealVectorChangingVisitor) - Method in class org.apache.commons.math3.linear.RealVector
-
Visits (and possibly alters) all entries of this vector in optimized order.
- walkInOptimizedOrder(RealVectorChangingVisitor, int, int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Visits (and possibly change) some entries of this vector in optimized order.
- walkInOptimizedOrder(RealVectorChangingVisitor, int, int) - Method in class org.apache.commons.math3.linear.RealVector
-
Visits (and possibly change) some entries of this vector in optimized order.
- walkInOptimizedOrder(RealVectorPreservingVisitor) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Visits (but does not alter) all entries of this vector in optimized order.
- walkInOptimizedOrder(RealVectorPreservingVisitor) - Method in class org.apache.commons.math3.linear.RealVector
-
Visits (but does not alter) all entries of this vector in optimized order.
- walkInOptimizedOrder(RealVectorPreservingVisitor, int, int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
-
Visits (but does not alter) some entries of this vector in optimized order.
- walkInOptimizedOrder(RealVectorPreservingVisitor, int, int) - Method in class org.apache.commons.math3.linear.RealVector
-
Visits (but does not alter) some entries of this vector in optimized order.
- walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Visit (and possibly change) all matrix entries in row order.
- walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Visit (and possibly change) all matrix entries in row order.
- walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Visit (and possibly change) all matrix entries in row order.
- walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Visit (and possibly change) all matrix entries in row order.
- walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Visit (and possibly change) some matrix entries in row order.
- walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Visit (and possibly change) some matrix entries in row order.
- walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Visit (and possibly change) some matrix entries in row order.
- walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Visit (and possibly change) some matrix entries in row order.
- walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Visit (but don't change) all matrix entries in row order.
- walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Visit (but don't change) all matrix entries in row order.
- walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Visit (but don't change) all matrix entries in row order.
- walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Visit (but don't change) all matrix entries in row order.
- walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
-
Visit (but don't change) some matrix entries in row order.
- walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
-
Visit (but don't change) some matrix entries in row order.
- walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
-
Visit (but don't change) some matrix entries in row order.
- walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
-
Visit (but don't change) some matrix entries in row order.
- walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Visit (and possibly change) all matrix entries in row order.
- walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Visit (and possibly change) all matrix entries in row order.
- walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Visit (and possibly change) all matrix entries in row order.
- walkInRowOrder(RealMatrixChangingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Visit (and possibly change) all matrix entries in row order.
- walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Visit (and possibly change) some matrix entries in row order.
- walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Visit (and possibly change) some matrix entries in row order.
- walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Visit (and possibly change) some matrix entries in row order.
- walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Visit (and possibly change) some matrix entries in row order.
- walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Visit (but don't change) all matrix entries in row order.
- walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Visit (but don't change) all matrix entries in row order.
- walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Visit (but don't change) all matrix entries in row order.
- walkInRowOrder(RealMatrixPreservingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Visit (but don't change) all matrix entries in row order.
- walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
-
Visit (but don't change) some matrix entries in row order.
- walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
-
Visit (but don't change) some matrix entries in row order.
- walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
Visit (but don't change) some matrix entries in row order.
- walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
-
Visit (but don't change) some matrix entries in row order.
- wbar - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The value of P' * wbar[k] or P' * (wbar[k] - s[1] * ...
- WeibullDistribution - Class in org.apache.commons.math3.distribution
-
Implementation of the Weibull distribution.
- WeibullDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.WeibullDistribution
-
Create a Weibull distribution with the given shape and scale and a location equal to zero.
- WeibullDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.WeibullDistribution
-
Create a Weibull distribution with the given shape, scale and inverse cumulative probability accuracy and a location equal to zero.
- WeibullDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.WeibullDistribution
-
Creates a Weibull distribution.
- WeibullDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.WeibullDistribution
-
Creates a Weibull distribution.
- weight - Variable in class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
-
Normalized weight of each mixture component.
- weight - Variable in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
-
weight matrix
- weight - Variable in class org.apache.commons.math3.fitting.WeightedObservedPoint
-
Weight of the measurement in the fitting process.
- weight - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.
- weight - Variable in class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint
-
Deprecated.Weight of the measurement in the fitting process.
- weight - Variable in class org.apache.commons.math3.random.HaltonSequenceGenerator
-
The scrambling weights for each component.
- weight(RealMatrix) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
-
Configure the weight matrix.
- Weight - Class in org.apache.commons.math3.optim.nonlinear.vector
-
Deprecated.All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the
org.apache.commons.math3.fitting.leastsquares
package (cf. MATH-1008). - Weight - Class in org.apache.commons.math3.optimization
-
Deprecated.As of 3.1 (to be removed in 4.0).
- Weight(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.Weight
-
Deprecated.Creates a diagonal weight matrix.
- Weight(double[]) - Constructor for class org.apache.commons.math3.optimization.Weight
-
Deprecated.Creates a diagonal weight matrix.
- Weight(RealMatrix) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.Weight
-
Deprecated.
- Weight(RealMatrix) - Constructor for class org.apache.commons.math3.optimization.Weight
-
Deprecated.
- WEIGHT_AT_LEAST_ONE_NON_ZERO - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- weightDiagonal(LeastSquaresProblem, RealVector) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
-
Apply a diagonal weight matrix to the
LeastSquaresProblem
. - WeightedEvaluation - Interface in org.apache.commons.math3.stat.descriptive
-
Weighted evaluation for statistics.
- weightedJacobian - Variable in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer.InternalData
-
Weighted Jacobian.
- weightedJacobian - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Deprecated.Weighted Jacobian.
- weightedJacobian - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.Weighted Jacobian.
- WeightedObservedPoint - Class in org.apache.commons.math3.fitting
-
This class is a simple container for weighted observed point in
curve fitting
. - WeightedObservedPoint - Class in org.apache.commons.math3.optimization.fitting
-
Deprecated.As of 3.1 (to be removed in 4.0).
- WeightedObservedPoint(double, double, double) - Constructor for class org.apache.commons.math3.fitting.WeightedObservedPoint
-
Simple constructor.
- WeightedObservedPoint(double, double, double) - Constructor for class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint
-
Deprecated.Simple constructor.
- WeightedObservedPoints - Class in org.apache.commons.math3.fitting
-
Simple container for weighted observed points used in
curve fitting
algorithms. - WeightedObservedPoints() - Constructor for class org.apache.commons.math3.fitting.WeightedObservedPoints
- weightedResidual - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
-
Deprecated.Weighted residuals.
- weightedResidual - Variable in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
-
Deprecated.Weighted residuals.
- weightedResidualJacobian - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.As of 3.1. To be removed in 4.0. Please use
AbstractLeastSquaresOptimizer.computeWeightedJacobian(double[])
instead. - weightedResiduals - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.As of 3.1.
- weightMatrix - Variable in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
-
Deprecated.Weight matrix.
- weightMatrix - Variable in class org.apache.commons.math3.optim.nonlinear.vector.Weight
-
Deprecated.Weight matrix.
- weightMatrix - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
-
Deprecated.Weight matrix.
- weightMatrix - Variable in class org.apache.commons.math3.optimization.Weight
-
Deprecated.Weight matrix.
- weightMatrix(LeastSquaresProblem, RealMatrix) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
-
Apply a dense weight matrix to the
LeastSquaresProblem
. - weightMatrixSqrt - Variable in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
-
Deprecated.Square-root of the weight matrix.
- weightMatrixSqrt - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
Deprecated.Square-root of the weight matrix.
- weights - Variable in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
-
Nodes weights.
- weights - Variable in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
-
Deprecated.Weights for the current method.
- weights - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter
-
Optional weights for the residuals.
- weights - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Array for weighted recombination.
- weights - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Array for weighted recombination.
- weights - Variable in class org.apache.commons.math3.optimization.LeastSquaresConverter
-
Deprecated.Optional weights for the residuals.
- WEIGHTS - Static variable in class org.apache.commons.math3.random.HaltonSequenceGenerator
-
The optimal weights used for scrambling of the first 40 dimension.
- WEIGHTS_2 - Static variable in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
-
Deprecated.Weights for the 2 points method.
- WEIGHTS_3 - Static variable in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
-
Deprecated.Weights for the 3 points method.
- WEIGHTS_4 - Static variable in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
-
Deprecated.Weights for the 4 points method.
- WEIGHTS_5 - Static variable in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
-
Deprecated.Weights for the 5 points method.
- weightSqrt - Variable in class org.apache.commons.math3.fitting.leastsquares.DenseWeightedEvaluation
-
reference to the weight square root matrix
- Well1024a - Class in org.apache.commons.math3.random
-
This class implements the WELL1024a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
- Well1024a() - Constructor for class org.apache.commons.math3.random.Well1024a
-
Creates a new random number generator.
- Well1024a(int) - Constructor for class org.apache.commons.math3.random.Well1024a
-
Creates a new random number generator using a single int seed.
- Well1024a(int[]) - Constructor for class org.apache.commons.math3.random.Well1024a
-
Creates a new random number generator using an int array seed.
- Well1024a(long) - Constructor for class org.apache.commons.math3.random.Well1024a
-
Creates a new random number generator using a single long seed.
- Well19937a - Class in org.apache.commons.math3.random
-
This class implements the WELL19937a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
- Well19937a() - Constructor for class org.apache.commons.math3.random.Well19937a
-
Creates a new random number generator.
- Well19937a(int) - Constructor for class org.apache.commons.math3.random.Well19937a
-
Creates a new random number generator using a single int seed.
- Well19937a(int[]) - Constructor for class org.apache.commons.math3.random.Well19937a
-
Creates a new random number generator using an int array seed.
- Well19937a(long) - Constructor for class org.apache.commons.math3.random.Well19937a
-
Creates a new random number generator using a single long seed.
- Well19937c - Class in org.apache.commons.math3.random
-
This class implements the WELL19937c pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
- Well19937c() - Constructor for class org.apache.commons.math3.random.Well19937c
-
Creates a new random number generator.
- Well19937c(int) - Constructor for class org.apache.commons.math3.random.Well19937c
-
Creates a new random number generator using a single int seed.
- Well19937c(int[]) - Constructor for class org.apache.commons.math3.random.Well19937c
-
Creates a new random number generator using an int array seed.
- Well19937c(long) - Constructor for class org.apache.commons.math3.random.Well19937c
-
Creates a new random number generator using a single long seed.
- Well44497a - Class in org.apache.commons.math3.random
-
This class implements the WELL44497a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
- Well44497a() - Constructor for class org.apache.commons.math3.random.Well44497a
-
Creates a new random number generator.
- Well44497a(int) - Constructor for class org.apache.commons.math3.random.Well44497a
-
Creates a new random number generator using a single int seed.
- Well44497a(int[]) - Constructor for class org.apache.commons.math3.random.Well44497a
-
Creates a new random number generator using an int array seed.
- Well44497a(long) - Constructor for class org.apache.commons.math3.random.Well44497a
-
Creates a new random number generator using a single long seed.
- Well44497b - Class in org.apache.commons.math3.random
-
This class implements the WELL44497b pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
- Well44497b() - Constructor for class org.apache.commons.math3.random.Well44497b
-
Creates a new random number generator.
- Well44497b(int) - Constructor for class org.apache.commons.math3.random.Well44497b
-
Creates a new random number generator using a single int seed.
- Well44497b(int[]) - Constructor for class org.apache.commons.math3.random.Well44497b
-
Creates a new random number generator using an int array seed.
- Well44497b(long) - Constructor for class org.apache.commons.math3.random.Well44497b
-
Creates a new random number generator using a single long seed.
- Well512a - Class in org.apache.commons.math3.random
-
This class implements the WELL512a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
- Well512a() - Constructor for class org.apache.commons.math3.random.Well512a
-
Creates a new random number generator.
- Well512a(int) - Constructor for class org.apache.commons.math3.random.Well512a
-
Creates a new random number generator using a single int seed.
- Well512a(int[]) - Constructor for class org.apache.commons.math3.random.Well512a
-
Creates a new random number generator using an int array seed.
- Well512a(long) - Constructor for class org.apache.commons.math3.random.Well512a
-
Creates a new random number generator using a single long seed.
- WelzlEncloser<S,
P> - Class in org.apache.commons.math3.geometry.enclosing -
Class implementing Emo Welzl algorithm to find the smallest enclosing ball in linear time.
- WelzlEncloser(double, SupportBallGenerator<S, P>) - Constructor for class org.apache.commons.math3.geometry.enclosing.WelzlEncloser
-
Simple constructor.
- WHOLE_FORMAT - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- wholeFormat - Variable in class org.apache.commons.math3.fraction.ProperBigFractionFormat
-
The format used for the whole number.
- wholeFormat - Variable in class org.apache.commons.math3.fraction.ProperFractionFormat
-
The format used for the whole number.
- wholeHyperplane() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
-
Build a region covering the whole hyperplane.
- wholeHyperplane() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Build a region covering the whole hyperplane.
- wholeHyperplane() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Build a sub-hyperplane covering the whole hyperplane.
- wholeHyperplane() - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
-
Build a sub-hyperplane covering the whole hyperplane.
- wholeHyperplane() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
-
Build a region covering the whole hyperplane.
- wholeHyperplane() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
-
Build a sub-hyperplane covering the whole hyperplane.
- wholeLine() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Build a sub-line covering the whole line.
- wholeSpace() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
-
Build a region covering the whole space.
- wholeSpace() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
-
Build a region covering the whole space.
- wholeSpace() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
-
Build a region covering the whole space.
- wholeSpace() - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
-
Build a region covering the whole space.
- wholeSpace() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
-
Build a region covering the whole space.
- wholeSpace() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
-
Build a region covering the whole space.
- wilcoxonSignedRank(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
-
Computes the Wilcoxon signed ranked statistic comparing mean for two related samples or repeated measurements on a single sample.
- wilcoxonSignedRankTest(double[], double[], boolean) - Method in class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
-
Returns the observed significance level, or p-value, associated with a Wilcoxon signed ranked statistic comparing mean for two related samples or repeated measurements on a single sample.
- WilcoxonSignedRankTest - Class in org.apache.commons.math3.stat.inference
-
An implementation of the Wilcoxon signed-rank test.
- WilcoxonSignedRankTest() - Constructor for class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
-
Create a test instance where NaN's are left in place and ties get the average of applicable ranks.
- WilcoxonSignedRankTest(NaNStrategy, TiesStrategy) - Constructor for class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
-
Create a test instance using the given strategies for NaN's and ties.
- WILSON_SCORE - Static variable in class org.apache.commons.math3.stat.interval.IntervalUtils
-
Singleton Wilson score instance.
- WilsonScoreInterval - Class in org.apache.commons.math3.stat.interval
-
Implements the Wilson score method for creating a binomial proportion confidence interval.
- WilsonScoreInterval() - Constructor for class org.apache.commons.math3.stat.interval.WilsonScoreInterval
- windowSize - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
hold the window size
- withCallback(IntegerSequence.Incrementor.MaxCountExceededCallback) - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor
-
Creates a new instance with a given callback.
- withCostRelativeTolerance(double) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
- withDecomposition(GaussNewtonOptimizer.Decomposition) - Method in class org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer
-
Configure the decomposition algorithm.
- withEstimationType(Percentile.EstimationType) - Method in class org.apache.commons.math3.stat.descriptive.rank.Median
-
Build a new instance similar to the current one except for the
estimation type
. - withEstimationType(Percentile.EstimationType) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Build a new instance similar to the current one except for the
estimation type
. - withIncrement(int) - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor
-
Creates a new instance with a given increment.
- withInitialStepBoundFactor(double) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
- withKthSelector(KthSelector) - Method in class org.apache.commons.math3.stat.descriptive.rank.Median
-
Build a new instance similar to the current one except for the
kthSelector
instance specifically set. - withKthSelector(KthSelector) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Build a new instance similar to the current one except for the
kthSelector
instance specifically set. - withMaximalCount(int) - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor
-
Creates a new instance with a given maximal count.
- withMaxIterations(int) - Method in class org.apache.commons.math3.fitting.GaussianCurveFitter
-
Configure the maximum number of iterations.
- withMaxIterations(int) - Method in class org.apache.commons.math3.fitting.HarmonicCurveFitter
-
Configure the maximum number of iterations.
- withMaxIterations(int) - Method in class org.apache.commons.math3.fitting.PolynomialCurveFitter
-
Configure the maximum number of iterations.
- withMaxIterations(int) - Method in class org.apache.commons.math3.fitting.SimpleCurveFitter
-
Configure the maximum number of iterations.
- withNaNStrategy(NaNStrategy) - Method in class org.apache.commons.math3.stat.descriptive.rank.Median
-
Build a new instance similar to the current one except for the
NaN handling
strategy. - withNaNStrategy(NaNStrategy) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
-
Build a new instance similar to the current one except for the
NaN handling
strategy. - withOrthoTolerance(double) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
-
Modifies the given parameter.
- withParameterRelativeTolerance(double) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
- withRankingThreshold(double) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
- withStart(int) - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor
-
Creates a new instance with a given initial value.
- withStartPoint(double[]) - Method in class org.apache.commons.math3.fitting.GaussianCurveFitter
-
Configure the start point (initial guess).
- withStartPoint(double[]) - Method in class org.apache.commons.math3.fitting.HarmonicCurveFitter
-
Configure the start point (initial guess).
- withStartPoint(double[]) - Method in class org.apache.commons.math3.fitting.PolynomialCurveFitter
-
Configure the start point (initial guess).
- withStartPoint(double[]) - Method in class org.apache.commons.math3.fitting.SimpleCurveFitter
-
Configure the start point (initial guess).
- work_sing - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
workspace for singularity method
- work_tolset - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
scratch space for tolerance calc
- wrap - Variable in class org.apache.commons.math3.ml.neuralnet.oned.NeuronString.SerializationProxy
-
Wrap.
- wrap - Variable in class org.apache.commons.math3.ml.neuralnet.oned.NeuronString
-
Wrap.
- wrap(IntegerSequence.Incrementor) - Static method in class org.apache.commons.math3.util.Incrementor
-
Deprecated.Create an instance that delegates everything to a
IntegerSequence.Incrementor
. - wrapColumns - Variable in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D.SerializationProxy
-
Wrap.
- wrapColumns - Variable in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
-
Wrap.
- wrapped - Variable in exception class org.apache.commons.math3.ode.events.EventState.LocalMaxCountExceededException
-
Wrapped exception.
- wrapped - Variable in class org.apache.commons.math3.random.SynchronizedRandomGenerator
-
Object to which all calls will be delegated.
- wrapRows - Variable in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D.SerializationProxy
-
Wrap.
- wrapRows - Variable in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
-
Wrap.
- writeBaseExternal(ObjectOutput) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
-
Save the base state of the instance.
- writeExternal(ObjectOutput) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
- writeExternal(ObjectOutput) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
- writeExternal(ObjectOutput) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaStepInterpolator
- writeExternal(ObjectOutput) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
- writeExternal(ObjectOutput) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
- writeObject(ObjectOutputStream) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
-
Serialize this object to the given stream.
- writeObject(ObjectOutputStream) - Method in class org.apache.commons.math3.optim.linear.LinearConstraint
-
Serialize the instance.
- writeObject(ObjectOutputStream) - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
-
Serialize the instance.
- writeObject(ObjectOutputStream) - Method in class org.apache.commons.math3.optim.linear.SimplexTableau
-
Serialize the instance.
- writeObject(ObjectOutputStream) - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
-
Deprecated.Serialize the instance.
- writeObject(ObjectOutputStream) - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
-
Deprecated.Serialize the instance.
- writeObject(ObjectOutputStream) - Method in class org.apache.commons.math3.optimization.linear.SimplexTableau
-
Deprecated.Serialize the instance.
- writeReplace() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
-
Replace the instance with a data transfer object for serialization.
- writeReplace() - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
-
Replace the instance with a data transfer object for serialization.
- writeReplace() - Method in class org.apache.commons.math3.ml.neuralnet.Network
-
Custom serialization.
- writeReplace() - Method in class org.apache.commons.math3.ml.neuralnet.Neuron
-
Custom serialization.
- writeReplace() - Method in class org.apache.commons.math3.ml.neuralnet.oned.NeuronString
-
Custom serialization.
- writeReplace() - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
-
Custom serialization.
- writeReplace() - Method in class org.apache.commons.math3.optim.PointValuePair
-
Replace the instance with a data transfer object for serialization.
- writeReplace() - Method in class org.apache.commons.math3.optim.PointVectorValuePair
-
Replace the instance with a data transfer object for serialization.
- writeReplace() - Method in class org.apache.commons.math3.optimization.PointValuePair
-
Deprecated.Replace the instance with a data transfer object for serialization.
- writeReplace() - Method in class org.apache.commons.math3.optimization.PointVectorValuePair
-
Deprecated.Replace the instance with a data transfer object for serialization.
- wrong - Variable in exception class org.apache.commons.math3.exception.MultiDimensionMismatchException
-
Wrong dimensions.
- WRONG_BLOCK_LENGTH - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- WRONG_NUMBER_OF_POINTS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
X
- x - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
-
Interpolating points (abscissas).
- x - Variable in class org.apache.commons.math3.fitting.WeightedObservedPoint
-
Abscissa of the point.
- x - Variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Abscissa.
- x - Variable in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Abscissa.
- x - Variable in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates.DataTransferObject
-
Abscissa.
- x - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Abscissa.
- x - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Abscissa.
- x - Variable in class org.apache.commons.math3.geometry.spherical.twod.Circle
-
First axis in the equator plane, origin of the phase angles.
- x - Variable in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
-
The current estimate of the solution.
- x - Variable in class org.apache.commons.math3.linear.SchurTransformer.ShiftInfo
-
x shift info
- x - Variable in class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint
-
Deprecated.Abscissa of the point.
- x - Variable in class org.apache.commons.math3.random.SobolSequenceGenerator
-
The current state.
- X_CRIT - Static variable in class org.apache.commons.math3.special.Erf
-
The number
X_CRIT
is used byErf.erf(double, double)
internally. - X_MAX - Static variable in class org.apache.commons.math3.special.BesselJ
-
Upper limit on the magnitude of x.
- X_MIN - Static variable in class org.apache.commons.math3.special.BesselJ
-
Minimum acceptable value for x
- x_sing - Variable in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
-
singular x values
- xbar - Variable in class org.apache.commons.math3.stat.regression.SimpleRegression
-
mean of accumulated x values, used in updating formulas
- xDegree - Variable in class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
-
Deprecated.Degree of the fitting polynomial.
- xFitter - Variable in class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
-
Deprecated.Fitter for x.
- xL - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
A reference to the vector to be updated with the solution.
- xMatrix - Variable in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
X sample data.
- xmean - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
-
Objective variables.
- xmean - Variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.Objective variables.
- xor(Region<S>, Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
-
Compute the symmetric difference (exclusive or) of two regions.
- XorMerger() - Constructor for class org.apache.commons.math3.geometry.partitioning.RegionFactory.XorMerger
- xval - Variable in class org.apache.commons.math3.analysis.interpolation.BicubicInterpolatingFunction
-
Samples x-coordinates
- xval - Variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
-
Deprecated.Samples x-coordinates
- xval - Variable in class org.apache.commons.math3.analysis.interpolation.PiecewiseBicubicSplineInterpolatingFunction
-
Samples x-coordinates
- xval - Variable in class org.apache.commons.math3.analysis.interpolation.TricubicInterpolatingFunction
-
Samples x-coordinates
- xval - Variable in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolatingFunction
-
Deprecated.Samples x-coordinates
- XYX - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
-
Set of Euler angles.
- XYZ - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
-
Set of Cardan angles.
- XZX - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
-
Set of Euler angles.
- XZY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
-
Set of Cardan angles.
Y
- y - Variable in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
-
Function values at interpolating points.
- y - Variable in class org.apache.commons.math3.fitting.WeightedObservedPoint
-
Observed value of the function at x.
- y - Variable in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Ordinate.
- y - Variable in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates.DataTransferObject
-
Ordinate.
- y - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Ordinate.
- y - Variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Ordinate.
- y - Variable in class org.apache.commons.math3.geometry.spherical.twod.Circle
-
Second axis in the equator plane, in quadrature with respect to x.
- y - Variable in class org.apache.commons.math3.linear.SchurTransformer.ShiftInfo
-
y shift info
- y - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The value of beta[k+1] * P' * v[k+1].
- y - Variable in class org.apache.commons.math3.ode.MultistepFieldIntegrator.FieldNordsieckInitializer
-
First steps states.
- y - Variable in class org.apache.commons.math3.ode.MultistepIntegrator.NordsieckInitializer
-
First steps states.
- y - Variable in class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint
-
Deprecated.Observed value of the function at x.
- y0Dot - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
-
Slope at the beginning of the step.
- y1 - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
-
State at the end of the step.
- y1Dot - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
-
Slope at the end of the step.
- ybar - Variable in class org.apache.commons.math3.stat.regression.SimpleRegression
-
mean of accumulated y values, used in updating formulas
- yDegree - Variable in class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
-
Deprecated.Degree of the fitting polynomial.
- yDot - Variable in class org.apache.commons.math3.ode.MultistepFieldIntegrator.FieldNordsieckInitializer
-
First steps derivatives.
- yDot - Variable in class org.apache.commons.math3.ode.MultistepIntegrator.NordsieckInitializer
-
First steps derivatives.
- yDotK - Variable in class org.apache.commons.math3.ode.nonstiff.RungeKuttaFieldStepInterpolator
-
Slopes at the intermediate points.
- yDotK - Variable in class org.apache.commons.math3.ode.nonstiff.RungeKuttaStepInterpolator
-
Slopes at the intermediate points
- yDotKLast - Variable in class org.apache.commons.math3.ode.nonstiff.DormandPrince853StepInterpolator
-
Last evaluations.
- yFitter - Variable in class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
-
Deprecated.Fitter for y.
- yMidDots - Variable in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerStepInterpolator
-
Derivatives at the middle of the step.
- ynorm2 - Variable in class org.apache.commons.math3.linear.SymmLQ.State
-
The value of zeta[1]^2 + ...
- yval - Variable in class org.apache.commons.math3.analysis.interpolation.BicubicInterpolatingFunction
-
Samples y-coordinates
- yval - Variable in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
-
Deprecated.Samples y-coordinates
- yval - Variable in class org.apache.commons.math3.analysis.interpolation.PiecewiseBicubicSplineInterpolatingFunction
-
Samples y-coordinates
- yval - Variable in class org.apache.commons.math3.analysis.interpolation.TricubicInterpolatingFunction
-
Samples y-coordinates
- yval - Variable in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolatingFunction
-
Deprecated.Samples y-coordinates
- yVector - Variable in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
-
Y sample data.
- YXY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
-
Set of Euler angles.
- YXZ - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
-
Set of Cardan angles.
- YZX - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
-
Set of Cardan angles.
- YZY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
-
Set of Euler angles.
Z
- z - Variable in class org.apache.commons.math3.distribution.BetaDistribution
-
Normalizing factor used in density computations.
- z - Variable in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
-
Height.
- z - Variable in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates.DataTransferObject
-
Height.
- z - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Height.
- z - Variable in class org.apache.commons.math3.ode.FirstOrderConverter
-
state vector.
- zDDot - Variable in class org.apache.commons.math3.ode.FirstOrderConverter
-
second time derivative of the state vector.
- zDot - Variable in class org.apache.commons.math3.ode.FirstOrderConverter
-
first time derivative of the state vector.
- zero - Variable in class org.apache.commons.math3.dfp.DfpField
-
A
Dfp
with value 0. - zero - Variable in class org.apache.commons.math3.geometry.euclidean.threed.Line
-
Line point closest to the origin.
- zero - Variable in class org.apache.commons.math3.linear.DefaultFieldMatrixChangingVisitor
-
Zero element of the field.
- zero - Variable in class org.apache.commons.math3.linear.DefaultFieldMatrixPreservingVisitor
-
Zero element of the field.
- ZERO - Static variable in class org.apache.commons.math3.complex.Complex
-
A complex number representing "0.0 + 0.0i"
- ZERO - Static variable in class org.apache.commons.math3.complex.Quaternion
-
Zero quaternion.
- ZERO - Static variable in class org.apache.commons.math3.fraction.BigFraction
-
A fraction representing "0".
- ZERO - Static variable in class org.apache.commons.math3.fraction.Fraction
-
A fraction representing "0".
- ZERO - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
-
Origin (coordinates: 0).
- ZERO - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
-
Null vector (coordinates: 0, 0, 0).
- ZERO - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
-
Origin (coordinates: 0, 0).
- ZERO - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Constant 0.
- ZERO - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Constant 0.
- ZERO - Static variable in class org.apache.commons.math3.util.BigReal
-
A big real representing 0.
- ZERO - Static variable in class org.apache.commons.math3.util.Decimal64
-
The constant value of
0d
as aDecimal64
. - ZERO_DENOMINATOR - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- ZERO_DENOMINATOR_IN_FRACTION - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- ZERO_FRACTION_TO_DIVIDE_BY - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- ZERO_NORM - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- ZERO_NORM_FOR_ROTATION_AXIS - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- ZERO_NORM_FOR_ROTATION_DEFINING_VECTOR - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- ZERO_NOT_ALLOWED - Enum constant in enum org.apache.commons.math3.exception.util.LocalizedFormats
- ZeroException - Exception Class in org.apache.commons.math3.exception
-
Exception to be thrown when zero is provided where it is not allowed.
- ZeroException() - Constructor for exception class org.apache.commons.math3.exception.ZeroException
-
Construct the exception.
- ZeroException(Localizable, Object...) - Constructor for exception class org.apache.commons.math3.exception.ZeroException
-
Construct the exception with a specific context.
- zeros(int, int) - Static method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
- zeros(int, int) - Static method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- zeta - Variable in class org.apache.commons.math3.random.StableRandomGenerator
-
cache of expression value used in generation
- ZipfDistribution - Class in org.apache.commons.math3.distribution
-
Implementation of the Zipf distribution.
- ZipfDistribution(int, double) - Constructor for class org.apache.commons.math3.distribution.ZipfDistribution
-
Create a new Zipf distribution with the given number of elements and exponent.
- ZipfDistribution(RandomGenerator, int, double) - Constructor for class org.apache.commons.math3.distribution.ZipfDistribution
-
Creates a Zipf distribution.
- ZipfDistribution.ZipfRejectionInversionSampler - Class in org.apache.commons.math3.distribution
-
Utility class implementing a rejection inversion sampling method for a discrete, bounded Zipf distribution that is based on the method described in
- ZipfRejectionInversionSampler(int, double) - Constructor for class org.apache.commons.math3.distribution.ZipfDistribution.ZipfRejectionInversionSampler
-
Simple constructor.
- zMatrix - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
Factorization of the leading npt square submatrix of H, this factorization being Z ZT, which provides both the correct rank and positive semi-definiteness.
- zMatrix - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.Factorization of the leading npt square submatrix of H, this factorization being Z ZT, which provides both the correct rank and positive semi-definiteness.
- zval - Variable in class org.apache.commons.math3.analysis.interpolation.TricubicInterpolatingFunction
-
Samples z-coordinates
- zval - Variable in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolatingFunction
-
Deprecated.Samples z-coordinates
- ZXY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
-
Set of Cardan angles.
- ZXZ - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
-
Set of Euler angles.
- ZYX - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
-
Set of Cardan angles.
- ZYZ - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
-
Set of Euler angles.
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