Index

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
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), where x is the independent variable and the pi 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.
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 and BigFractionFormat.
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 and Adams-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 and Adams-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), with addend 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 and false 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
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 and m.
add(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Compute the sum of this and v.
add(BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Compute the sum of this and m.
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 and m.
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 and v.
add(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
Compute the sum of this and v.
add(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Compute the sum of this and v.
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 and m.
add(RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Returns the sum of this and m.
add(RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
Returns the sum of this and m.
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 and false 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 this Population.
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 neuron b.
addLinkToLinkSet(Set<Long>, long) - Method in class org.apache.commons.math3.ml.neuralnet.Network
Adds a link to neuron id in given linkSet.
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 by altmov.
alternativeNewPoint - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
Deprecated.
Alternative to BOBYQAOptimizer.newPoint, chosen by altmov.
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 in sc 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> using v 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> using v 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 a double[][] 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 a FieldElement 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.
ArrayFieldVector(ArrayFieldVector<T>, T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
Deprecated.
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.
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
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 if beta 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
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.
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.
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 passed int, ie "num / 1".
BigFraction(int, int) - Constructor for class org.apache.commons.math3.fraction.BigFraction
Create a BigFraction given the numerator and denominator as simple int.
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 simple long.
BigFraction(BigInteger) - Constructor for class org.apache.commons.math3.fraction.BigFraction
Create a BigFraction equivalent to the passed BigInteger, ie "num / 1".
BigFraction(BigInteger, BigInteger) - Constructor for class org.apache.commons.math3.fraction.BigFraction
Create a BigFraction given the numerator and denominator as BigInteger.
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
Convert a FieldMatrix/BigFraction matrix to a RealMatrix.
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 BinaryChromosomes.
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
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 of k-element subsets that can be selected from an n-element set.
binomialCoefficientDouble(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
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 of k-element subsets that can be selected from an n-element set.
binomialCoefficientLog(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
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 of k-element subsets that can be selected from an n-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 and y 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 to maxFactors.
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) with q and r set to 1.0 and maximumIterations set to Integer.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 If f is continuous on [a,b], this means that a and b bracket a root of f.
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) with q and r 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 the other constructor).
BracketFinder() - Constructor for class org.apache.commons.math3.optimization.univariate.BracketFinder
Deprecated.
Constructor with default values 100, 50 (see the other 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 approximation x 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.
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
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.
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 and solveInPlace, 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 and solveInPlace, 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
Computes the Chi-Square statistic comparing observed and expected frequency counts.
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 and observed2.
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 the expected 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 and observed2.
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 to optimize (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 to optimize (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.
As of version 3.1: Parameters lambda and inputSigma must be passed with the call to optimize.
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.
As of version 3.1: Parameters lambda and inputSigma must be passed with the call to optimize.
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
Utility to create combinations (n, k) of k elements in a set of n elements.
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 of this and y.
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 of this and y.
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 of this and y.
combineToSelf(double, double, RealVector) - Method in class org.apache.commons.math3.linear.RealVector
Updates this with the linear combination of this and y.
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 by comparator.
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
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 and binCount 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 the map.
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 the map.
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 the map.
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 the map.
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 the map.
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 to double
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 and kthSelector, it therefore always throw MathUnsupportedOperationException
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 supplied RandomGenerator.
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 this AggregateSummaryStatistics.
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 size m 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 size m 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 a Random 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 specified Complex 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 size m 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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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
cumulativeProbability(double, double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
cumulativeProbability(double, double) - Method in class org.apache.commons.math3.distribution.ParetoDistribution
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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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
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 and WeightedObservedPoints 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
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 given randomStart 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_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_INITIAL_RADIUS - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
Deprecated.
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 a KalmanFilter.
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, taking RealMatrix 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 a KalmanFilter.
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 and b.
deleteLinkFromLinkSet(Set<Long>, long) - Method in class org.apache.commons.math3.ml.neuralnet.Network
Deletes a link to neuron id in given linkSet.
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 returns P(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), where L(shape) is the Lanczos approximation returned by Gamma.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), where L(shape) is the Lanczos approximation returned by Gamma.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.
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.
derivative() - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator
Deprecated.
derivative() - Method in class org.apache.commons.math3.analysis.function.Identity
Deprecated.
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.
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
deSerializeMessages(ObjectInputStream) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
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.
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.
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.
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.
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 regular function.
differentiate(UnivariateFunction) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateFunctionDifferentiator
Create an implementation of a differential from a regular function.
differentiate(UnivariateMatrixFunction) - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
Create an implementation of a differential from a regular matrix function.
differentiate(UnivariateMatrixFunction) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateMatrixFunctionDifferentiator
Create an implementation of a differential from a regular matrix function.
differentiate(UnivariateVectorFunction) - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
Create an implementation of a differential from a regular vector function.
differentiate(UnivariateVectorFunction) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateVectorFunctionDifferentiator
Create an implementation of a differential from a regular vector 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 of front.
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 configured DistanceMeasure.
distance(Clusterable, Clusterable) - Method in class org.apache.commons.math3.ml.clustering.evaluation.ClusterEvaluator
Calculates the distance between two Clusterable instances with the configured DistanceMeasure.
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), with divisor 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, ie this * 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, ie this * 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, ie this * 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 and beanStats 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 are null or have same dimensions and all their elements are equal as defined by Precision.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 of Double.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 a FieldMatrix 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 a RealMatrix 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 an AbstractStorelessUnivariateStatistic returning the same values as this for getResult() and getN()
equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics.AggregatingSummaryStatistics
Returns true iff object is a SummaryStatistics 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 a MultivariateSummaryStatistics 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 a PSquarePercentile returning the same values as this for getResult() and getN() 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 a StatisticalSummaryValues 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 a SummaryStatistics 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 a MultivariateSummaryStatistics 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 a SummaryStatistics 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 by equals(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 are null or have same dimensions and all their elements are equal as defined by this 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.EstimationTypes such as CM 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 invokes AbstractStorelessUnivariateStatistic.increment(double) in a loop over the the input array, and then uses AbstractStorelessUnivariateStatistic.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 pth percentile of the values in the values 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 method to compute the percentile for a given bounded array using earlier computed pivots heap.
This basically calls the index and then estimate functions to return the estimated percentile value.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
This default implementation calls AbstractStorelessUnivariateStatistic.clear(), then invokes AbstractStorelessUnivariateStatistic.increment(double) in a loop over the specified portion of the input array, and then uses AbstractStorelessUnivariateStatistic.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 quantileth percentile of the designated values in the values 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 pth percentile of the values in the values array, starting with the element in (0-based) position begin in the array and including length 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 an LeastSquaresProblem.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] and BigFraction (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) and BigFraction (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 is true; 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, where x 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
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
factorialDouble(int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
Compute n!, the factorial of n (the product of the numbers 1 to n), as a double.
factorialLog(int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
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 and StrictMath 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 using RealFieldElement.
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
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
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 a FieldStepHandler.
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 using RealFieldElement.
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
Setsdata[i] = value for each i in tiesTrace.
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 the original
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
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
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
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
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 the original
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
Convert a FieldMatrix/Fraction matrix to a RealMatrix.
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
Computes the G statistic for Goodness of Fit comparing observed and expected frequency counts.
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, and sigma of a Gaussian.Parametric based on the specified observed points.
GaussianFitter - Class in org.apache.commons.math3.fitting
Deprecated.
As of 3.3. Please use GaussianCurveFitter and WeightedObservedPoints 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, and sigma of a Gaussian.Parametric based on the specified observed points.
GaussianFitter.ParameterGuesser - Class in org.apache.commons.math3.optimization.fitting
Deprecated.
Guesses the parameters norm, mean, and sigma of a Gaussian.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 and weights.
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
GaussNewtonOptimizer(boolean) - Constructor for class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
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 and observed2.
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 the original
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
getAngles(RotationOrder) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
Deprecated.
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.
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 with getCorrelationMatrix.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.
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.
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
Get the Field (really a DfpField) to which the instance belongs.
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-th n-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, where n is the number of data points and k 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
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 a StorelessCovariance, since the number of bivariate observations does not have to be the same for different pairs of covariates - i.e., N as defined in Covariance.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 is NaN.
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
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-th n-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
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 or GoalType.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
gradientAtTrustRegionCenter - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
Deprecated.
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 the expected 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 and observed2.
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 that guessParametersErrors and computeSigma 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 and WeightedObservedPoints 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
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), if exponent != 1 log(x), if exponent == 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 and sample2 are drawn from populations with the same mean, with significance level alpha, 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 and y - 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 and y - 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 and y - 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 and y - 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 and y - 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 and y - 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 and y - 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 and y - 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.
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 to originalData.
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 with System.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 returns P(x0 <= X <= x1).
innerDistribution - Variable in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
EnumeratedDistribution instance (using the Integer wrapper) used to generate the pmf.
innerDistribution - Variable in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
EnumeratedDistribution (using the Double 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
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 of y, \(F_n\) is the empirical distribution that puts mass \(1/n\) at each of the values in x and \(F_m\) is the empirical distribution of the y 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), where w 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), where w 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 in DGAM1.
INV_GAMMA1P_M1_A1 - Static variable in class org.apache.commons.math3.special.Gamma
The constant A1 defined in DGAM1.
INV_GAMMA1P_M1_B1 - Static variable in class org.apache.commons.math3.special.Gamma
The constant B1 defined in DGAM1.
INV_GAMMA1P_M1_B2 - Static variable in class org.apache.commons.math3.special.Gamma
The constant B2 defined in DGAM1.
INV_GAMMA1P_M1_B3 - Static variable in class org.apache.commons.math3.special.Gamma
The constant B3 defined in DGAM1.
INV_GAMMA1P_M1_B4 - Static variable in class org.apache.commons.math3.special.Gamma
The constant B4 defined in DGAM1.
INV_GAMMA1P_M1_B5 - Static variable in class org.apache.commons.math3.special.Gamma
The constant B5 defined in DGAM1.
INV_GAMMA1P_M1_B6 - Static variable in class org.apache.commons.math3.special.Gamma
The constant B6 defined in DGAM1.
INV_GAMMA1P_M1_B7 - Static variable in class org.apache.commons.math3.special.Gamma
The constant B7 defined in DGAM1.
INV_GAMMA1P_M1_B8 - Static variable in class org.apache.commons.math3.special.Gamma
The constant B8 defined in DGAM1.
INV_GAMMA1P_M1_C - Static variable in class org.apache.commons.math3.special.Gamma
The constant C defined in DGAM1.
INV_GAMMA1P_M1_C0 - Static variable in class org.apache.commons.math3.special.Gamma
The constant C0 defined in DGAM1.
INV_GAMMA1P_M1_C1 - Static variable in class org.apache.commons.math3.special.Gamma
The constant C1 defined in DGAM1.
INV_GAMMA1P_M1_C10 - Static variable in class org.apache.commons.math3.special.Gamma
The constant C10 defined in DGAM1.
INV_GAMMA1P_M1_C11 - Static variable in class org.apache.commons.math3.special.Gamma
The constant C11 defined in DGAM1.
INV_GAMMA1P_M1_C12 - Static variable in class org.apache.commons.math3.special.Gamma
The constant C12 defined in DGAM1.
INV_GAMMA1P_M1_C13 - Static variable in class org.apache.commons.math3.special.Gamma
The constant C13 defined in DGAM1.
INV_GAMMA1P_M1_C2 - Static variable in class org.apache.commons.math3.special.Gamma
The constant C2 defined in DGAM1.
INV_GAMMA1P_M1_C3 - Static variable in class org.apache.commons.math3.special.Gamma
The constant C3 defined in DGAM1.
INV_GAMMA1P_M1_C4 - Static variable in class org.apache.commons.math3.special.Gamma
The constant C4 defined in DGAM1.
INV_GAMMA1P_M1_C5 - Static variable in class org.apache.commons.math3.special.Gamma
The constant C5 defined in DGAM1.
INV_GAMMA1P_M1_C6 - Static variable in class org.apache.commons.math3.special.Gamma
The constant C6 defined in DGAM1.
INV_GAMMA1P_M1_C7 - Static variable in class org.apache.commons.math3.special.Gamma
The constant C7 defined in DGAM1.
INV_GAMMA1P_M1_C8 - Static variable in class org.apache.commons.math3.special.Gamma
The constant C8 defined in DGAM1.
INV_GAMMA1P_M1_C9 - Static variable in class org.apache.commons.math3.special.Gamma
The constant C9 defined in DGAM1.
INV_GAMMA1P_M1_P0 - Static variable in class org.apache.commons.math3.special.Gamma
The constant P0 defined in DGAM1.
INV_GAMMA1P_M1_P1 - Static variable in class org.apache.commons.math3.special.Gamma
The constant P1 defined in DGAM1.
INV_GAMMA1P_M1_P2 - Static variable in class org.apache.commons.math3.special.Gamma
The constant P2 defined in DGAM1.
INV_GAMMA1P_M1_P3 - Static variable in class org.apache.commons.math3.special.Gamma
The constant P3 defined in DGAM1.
INV_GAMMA1P_M1_P4 - Static variable in class org.apache.commons.math3.special.Gamma
The constant P4 defined in DGAM1.
INV_GAMMA1P_M1_P5 - Static variable in class org.apache.commons.math3.special.Gamma
The constant P5 defined in DGAM1.
INV_GAMMA1P_M1_P6 - Static variable in class org.apache.commons.math3.special.Gamma
The constant P6 defined in DGAM1.
INV_GAMMA1P_M1_Q1 - Static variable in class org.apache.commons.math3.special.Gamma
The constant Q1 defined in DGAM1.
INV_GAMMA1P_M1_Q2 - Static variable in class org.apache.commons.math3.special.Gamma
The constant Q2 defined in DGAM1.
INV_GAMMA1P_M1_Q3 - Static variable in class org.apache.commons.math3.special.Gamma
The constant Q3 defined in DGAM1.
INV_GAMMA1P_M1_Q4 - Static variable in class org.apache.commons.math3.special.Gamma
The constant Q4 defined in DGAM1.
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
true if RootsOfUnity.computeRoots(int) was called with a positive value of its argument n.
isCounterClockWise() - Method in class org.apache.commons.math3.complex.RootsOfUnity
Returns true if RootsOfUnity.computeRoots(int) was called with a positive value of its argument n.
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 or Double.NEGATIVE_INFINITY) and neither part is NaN.
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 if this double precision number is infinite (Double.POSITIVE_INFINITY or Double.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 if this 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 iff another has the same representation and therefore the same fitness.
isSame(Chromosome) - Method in class org.apache.commons.math3.genetics.Chromosome
Returns true iff another has the same representation and therefore the same fitness.
isSame(Chromosome) - Method in class org.apache.commons.math3.genetics.RandomKey
Returns true iff another 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 supports RealLinearOperator.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 cause SimplePointChecker.converged(int, Pair, Pair) to return true.
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 cause SimpleValueChecker.converged(int,PointValuePair,PointValuePair) to return true.
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 cause SimpleVectorValueChecker.converged(int,PointVectorValuePair,PointVectorValuePair) to return true.
ITERATION_CHECK_DISABLED - Static variable in class org.apache.commons.math3.optim.univariate.SimpleUnivariateValueChecker
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 cause SimplePointChecker.converged(int, Pair, Pair) to return true.
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 cause SimpleValueChecker.converged(int,PointValuePair,PointValuePair) to return true.
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 cause SimpleVectorValueChecker.converged(int,PointVectorValuePair,PointVectorValuePair) to return true.
ITERATION_CHECK_DISABLED - Static variable in class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker
Deprecated.
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
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 implement RandomGenerator.
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 from dist.
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
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 of y, \(F_n\) is the empirical distribution that puts mass \(1/n\) at each of the values in x and \(F_m\) is the empirical distribution of the y 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 of data and \(F_n\) is the empirical distribution that puts mass \(1/n\) at each of the values in data.
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 and y 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 and y 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 to distribution.
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 to distribution.
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 to distribution.
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
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 when maxIterations 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 the original
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, see Gamma.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 LeastSquaresProblems.
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 to scalar 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 LeastSquaresProblems.
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
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 of LoessInterpolator.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), where p 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)), where L(shape) is the Lanczos approximation returned by Gamma.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)), where L(shape) is the Lanczos approximation returned by Gamma.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
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 returns log(P(X = x)), where log 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 returns log(P(X = x)), where log 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 returns log(P(X = x)), where log 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 returns log(P(X = x)), where log 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 returns log(P(X = x)), where log 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 returns log(P(X = x)), where log 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 returns log(P(X = x)), where log 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), where p 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 for partial derivatives equations.
MainStateJacobianWrapper(FirstOrderDifferentialEquations, double[]) - Constructor for class org.apache.commons.math3.ode.JacobianMatrices.MainStateJacobianWrapper
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
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 the original
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
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 in GammaDistribution.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 the original
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 the original
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 and
invalid 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 of Frequency 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 and MicrosphereProjectionInterpolator 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 and MicrosphereProjectionInterpolator 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 the original
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 in GammaDistribution.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
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
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.
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 is this * factor, with factor 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 is this * factor, with factor 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
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 is this * 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 by m.
multiply(BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Returns the result of postmultiplying this by m.
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 by m.
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 by m.
multiply(RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Returns the result of postmultiplying this by m.
multiply(RealMatrix) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
Returns the result of postmultiplying this by m.
multiply(RealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
Returns the result of postmultiplying this by m.
multiply(RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
Returns the result of postmultiplying this by m.
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 a Decimal64.
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 a Decimal64.
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 given arrayRepresentation.
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
Point chosen by function trsbox or altmov.
newPoint - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
Deprecated.
Point chosen by function trsbox or altmov.
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 between 0.0 and 1.0 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 between 0.0 and 1.0 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 between 0.0 and 1.0 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 between 0.0 and 1.0 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 between 0.0 and 1.0 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 between 0.0 and 1.0 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 between 0.0 and 1.0 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 between 0.0 and 1.0 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 between 0.0 and 1.0 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 between 0.0 and 1.0 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 mean 0.0 and standard deviation 1.0 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 mean 0.0 and standard deviation 1.0 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 mean 0.0 and standard deviation 1.0 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 mean 0.0 and standard deviation 1.0 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 mean 0.0 and standard deviation 1.0 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 and upper (endpoints included).
nextInt(int, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
Generates a uniformly distributed random integer between lower and upper (endpoints included).
nextInt(int, int) - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Generates a uniformly distributed random integer between lower and upper (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 and upper (endpoints included).
nextLong(long, long) - Method in class org.apache.commons.math3.random.RandomDataGenerator
Generates a uniformly distributed random long integer between lower and upper (endpoints included).
nextLong(long, long) - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Generates a uniformly distributed random long integer between lower and upper (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 that j > 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 integers 0, ..., 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 integers 0, ..., 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 integers 0, ..., 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 Collection c.
nextSample(Collection<?>, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
Returns an array of k objects selected randomly from the Collection c.
nextSample(Collection<?>, int) - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Returns an array of k objects selected randomly from the Collection c.
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 and upper (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 and upper (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 and upper (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 and upper (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 and upper (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 and upper (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
NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>, UnivariateSolver, Preconditioner) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
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 and preconditioner.
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
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 of n.
omegaImaginaryCounterClockwise - Variable in class org.apache.commons.math3.complex.RootsOfUnity
Imaginary part of the n-th roots of unity, for positive values of n.
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 a Decimal64.
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 a OpenIntToDoubleHashMap 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 vector x.
operate(RealVector) - Method in class org.apache.commons.math3.linear.JacobiPreconditioner
Returns the result of multiplying this by the vector x.
operate(RealVector) - Method in class org.apache.commons.math3.linear.RealLinearOperator
Returns the result of multiplying this by the vector x.
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 vector x (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
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
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
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
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
optimizeInternal(int, FUNC, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
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
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 in Math, 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 or maximize a scalar function, called the objective 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.
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 and sample2 is 0 in favor of the two-sided alternative that the mean paired difference is not equal to 0, with significance level alpha.
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 processing JacobianMatrices.
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
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 of 1.
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 pth percentile of the values in the values array.
percentile(double[], int, int, double) - Static method in class org.apache.commons.math3.stat.StatUtils
Returns an estimate of the pth percentile of the values in the values array, starting with the element in (0-based) position begin in the array and including length 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 and KthSelector.
Percentile(Percentile) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Percentile
Copy constructor, creates a new Percentile identical to the original
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.
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.
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
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 and WeightedObservedPoints 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 a Decimal64.
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 itself p 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 itself p 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 supplied x 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 by m.
preMultiply(RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
Returns the result of premultiplying this by m.
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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 returns P(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 the original
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 if IterativeLinearSolverEvent.getResidual() is supported.
providesResidual() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
Returns true if IterativeLinearSolverEvent.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 a RandomGenerator.
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 a RandomGenerator instance to generate non-secure data and a SecureRandom instance to provide data for the nextSecureXxx 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 RandomKeys.
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 to nanStrategy and ties resolved using tiesStrategy.
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 current rankingAlgorithm.
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
Interface representing a real field.
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 to originalDelta 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 supplied double[] 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.
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 in nanPositions.
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
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
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.
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 of this.
scalarAdd(double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Returns the result of adding d to each entry of this.
scalarAdd(double) - Method in interface org.apache.commons.math3.linear.RealMatrix
Returns the result of adding d to each entry of this.
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 by d.
scalarMultiply(double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Returns the result of multiplying each entry of this by d.
scalarMultiply(double) - Method in interface org.apache.commons.math3.linear.RealMatrix
Returns the result of multiplying each entry of this by d.
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 optimizes f(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 the original
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 specified Direction property.
SemiVariance(SemiVariance) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
Copy constructor, creates a new SemiVariance identical to the original
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 at start, skipping stride 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
serializeMessages(ObjectOutputStream) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
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
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 of this matrix to the entries of the specified array.
setColumn(int, double[]) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Sets the specified column of this matrix to the entries of the specified array.
setColumn(int, double[]) - Method in interface org.apache.commons.math3.linear.RealMatrix
Sets the specified column of this matrix to the entries of the specified array.
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 of this matrix to the entries of the specified column matrix.
setColumnMatrix(int, RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Sets the specified column of this matrix to the entries of the specified column matrix.
setColumnMatrix(int, RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
Sets the specified column of this matrix to the entries of the specified column matrix.
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 of this matrix to the entries of the specified vector.
setColumnVector(int, RealVector) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Sets the specified column of this matrix to the entries of the specified vector.
setColumnVector(int, RealVector) - Method in interface org.apache.commons.math3.linear.RealMatrix
Sets the specified column of this matrix to the entries of the specified vector.
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.
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 of this matrix to the entries of the specified array.
setRow(int, double[]) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Sets the specified row of this matrix to the entries of the specified array.
setRow(int, double[]) - Method in interface org.apache.commons.math3.linear.RealMatrix
Sets the specified row of this matrix to the entries of the specified array.
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 of this matrix to the entries of the specified row matrix.
setRowMatrix(int, RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Sets the specified row of this matrix to the entries of the specified row matrix.
setRowMatrix(int, RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
Sets the specified row of this matrix to the entries of the specified row matrix.
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 of this matrix to the entries of the specified vector.
setRowVector(int, RealVector) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Sets the specified row of this matrix to the entries of the specified vector.
setRowVector(int, RealVector) - Method in interface org.apache.commons.math3.linear.RealMatrix
Sets the specified row of this matrix to the entries of the specified vector.
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
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 input subMatrix 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 input subMatrix 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 input subMatrix 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 input subMatrix 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 input subMatrix 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 input subMatrix 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 input subMatrix 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 input subMatrix 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 at x + shift.
shiftedShape - Variable in class org.apache.commons.math3.distribution.GammaDistribution
The constant value of shape + g + 0.5, where g is the Lanczos constant Gamma.LANCZOS_G.
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
side(Arc) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
Deprecated.
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
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
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
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
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 the original
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 and max.
solve(int, UnivariateDifferentiableFunction, double, double) - Method in class org.apache.commons.math3.analysis.solvers.NewtonRaphsonSolver
Find a zero near the midpoint of min and max.
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
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 a OpenIntToFieldHashMap 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
Splits a Dfp into 2 Dfp's such that their sum is equal to the input Dfp.
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 the original
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 a StepHandler.
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
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
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 an n-element set into k 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 with StorelessUnivariateStatistic.increment(double) and StorelessUnivariateStatistic.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 this BigFraction, 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 this BigFraction, 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 this BigFraction, 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 minus m.
subtract(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Compute this minus v.
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 minus m.
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 minus v.
subtract(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
Compute this minus v.
subtract(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Compute this minus v.
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 minus m.
subtract(RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Returns this minus m.
subtract(RealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
Returns this minus m.
subtract(RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
Returns this minus m.
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 minus v.
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 the original
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 the original
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 the original
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 and weights.
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
Computes a t statistic to use in comparing the mean of the dataset described by sampleStats to mu.
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 the original
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 doubles.
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 doubles.
toArray() - Method in class org.apache.commons.math3.linear.RealVector
Convert the vector to an array of doubles.
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 to Double.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
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
trialStepPoint - Variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
Deprecated.
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 and sample2 are drawn from populations with the same mean, with significance level alpha.
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 equals mu.
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 constant mu.
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 equals mu.
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 and sampleStats2 describe datasets drawn from populations with the same mean, with significance level alpha.
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 to xval[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.
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 returns P(X >= x).
upperDifference - Variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
Differences BaseMultivariateOptimizer.getUpperBound() - BOBYQAOptimizer.originShift All the components of every BOBYQAOptimizer.trustRegionCenterOffset are going to satisfy the bounds
BOBYQAOptimizer.trustRegionCenterOffsetiupperBoundi,
with appropriate equalities when BOBYQAOptimizer.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 every BOBYQAOptimizer.trustRegionCenterOffset are going to satisfy the bounds
BOBYQAOptimizer.trustRegionCenterOffsetiupperBoundi,
with appropriate equalities when BOBYQAOptimizer.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[]) and Gaussian.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[]) and HarmonicOscillator.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[]) and Logistic.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[]) and Logit.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[]) and Sigmoid.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
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 the original
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 of exp(- 2 * i * pi / n): W_SUB_N_I[i] = -sin(2 * pi/ n), where n = 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 of exp(- 2 * i * pi / n): W_SUB_N_R[i] = cos(2 * pi/ n), where n = 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 by Erf.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 a Decimal64.
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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