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

A

abs() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
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() - 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(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(float) - Static method in class org.apache.commons.math3.util.FastMath
Absolute value.
abs(double) - Static method in class org.apache.commons.math3.util.FastMath
Absolute value.
AbstractConvergenceChecker<PAIR> - Class in org.apache.commons.math3.optim
Base class for all convergence checker implementations.
AbstractConvergenceChecker(double, double) - Constructor for class org.apache.commons.math3.optim.AbstractConvergenceChecker
Build an instance with a specified thresholds.
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.optimization.AbstractConvergenceChecker
Deprecated. Build an instance with a specified thresholds.
AbstractDifferentiableOptimizer - Class in org.apache.commons.math3.optimization.general
Deprecated. As of 3.1 (to be removed in 4.0).
AbstractDifferentiableOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.AbstractDifferentiableOptimizer
Deprecated.  
AbstractDifferentiableUnivariateSolver - Class in org.apache.commons.math3.analysis.solvers
Deprecated. as of 3.1, replaced by AbstractUnivariateDifferentiableSolver
AbstractDifferentiableUnivariateSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver
Deprecated. Construct a solver with given absolute accuracy.
AbstractDifferentiableUnivariateSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver
Deprecated. Construct a solver with given accuracies.
AbstractFieldMatrix<T extends FieldElement<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.
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.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(String) - Constructor for class org.apache.commons.math3.ode.AbstractIntegrator
Build an instance.
AbstractIntegrator() - Constructor for class org.apache.commons.math3.ode.AbstractIntegrator
Build an instance with a null name.
AbstractLeastSquaresOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector.jacobian
Base class for implementing least-squares optimizers.
AbstractLeastSquaresOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
 
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. See SimpleValueChecker.SimpleValueChecker()
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.
AbstractListChromosome(T[]) - Constructor for class org.apache.commons.math3.genetics.AbstractListChromosome
Constructor.
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
 
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.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 extends Space,T extends Space> - Class in org.apache.commons.math3.geometry.partitioning
Abstract class for all regions, independently of geometry type or dimension.
AbstractRegion() - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractRegion
Build a region representing the whole space.
AbstractRegion(BSPTree<S>) - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractRegion
Build a region from an inside/outside BSP tree.
AbstractRegion(Collection<SubHyperplane<S>>) - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractRegion
Build a Region from a Boundary REPresentation (B-rep).
AbstractRegion(Hyperplane<S>[]) - 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. See SimpleValueChecker.SimpleValueChecker()
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(int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
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(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.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 - Class in org.apache.commons.math3.optimization.direct
Deprecated. As of 3.1 (to be removed in 4.0).
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.optimization.direct.AbstractSimplex
Deprecated. Build a hypercube simplex with the given side length.
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.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.
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 extends Space,T extends Space> - 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(AbstractStepInterpolator, double[], double[], double) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
Accept a step, triggering events and step handlers.
acos() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Arc cosine operation.
acos(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Compute arc cosine of a derivative structure.
Acos - Class in org.apache.commons.math3.analysis.function
Arc-cosine function.
Acos() - Constructor for class org.apache.commons.math3.analysis.function.Acos
 
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(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
computes the arc-cosine of the argument.
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.
acosh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Inverse hyperbolic cosine operation.
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
 
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.
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.
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.
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.
AdamsNordsieckTransformer - Class in org.apache.commons.math3.ode.nonstiff
Transformer to Nordsieck vectors for Adams integrators.
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(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Compute this + a.
add(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Perform addition of two derivative structures.
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(UnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
Adds functions.
add(UnivariateDifferentiableFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
Adds functions.
add(DifferentiableUnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
Deprecated. as of 3.1 replaced by FunctionUtils.add(UnivariateDifferentiableFunction...)
add(PolynomialFunction) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
Add a polynomial to the instance.
add(Complex) - Method in class org.apache.commons.math3.complex.Complex
Returns a Complex whose value is (this + addend).
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(Quaternion, Quaternion) - Static method in class org.apache.commons.math3.complex.Quaternion
Computes the sum of two quaternions.
add(Quaternion) - Method in class org.apache.commons.math3.complex.Quaternion
Computes the sum of the instance and another quaternion.
add(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
Add x to this.
add(double) - Method in class org.apache.commons.math3.dfp.Dfp
'+' operator.
add(T) - Method in interface org.apache.commons.math3.FieldElement
Compute this + a.
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(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(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(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(int) - Method in class org.apache.commons.math3.fraction.Fraction
Add an integer to the fraction.
add(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Add a 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(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(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(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(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Add a 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(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Add a 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(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
Add a 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(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Compute the sum of this and m.
add(RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Returns the sum of this and m.
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(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Compute the sum of this and v.
add(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Compute the sum of this and v.
add(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Compute the sum of this vector and v.
add(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Compute the sum of this and m.
add(BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Compute 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(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 interface org.apache.commons.math3.linear.FieldMatrix
Compute the sum of this and m.
add(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
Compute the sum of this and v.
add(OpenMapRealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
Deprecated. Compute the sum of this matrix and m.
add(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Deprecated. Compute the sum of this vector and v.
add(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Deprecated. Optimized method to add two OpenMapRealVectors.
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.RealVector
Compute the sum of this vector and v.
add(SparseFieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Deprecated. Optimized method to add sparse vectors.
add(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Deprecated. Compute the sum of this and v.
add(double) - Method in interface org.apache.commons.math3.RealFieldElement
'+' operator.
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(double) - Method in class org.apache.commons.math3.util.Decimal64
'+' operator.
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.
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.
addData(double, double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
Adds the observation (x,y) to the regression data set.
addData(double[][]) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
Adds the observations represented by the elements in data.
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, 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) - Method in interface org.apache.commons.math3.ode.ODEIntegrator
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.
addIterationListener(IterationListener) - Method in class org.apache.commons.math3.util.IterationManager
Attaches a listener to this manager.
ADDITIVE_MODE - Static variable in class org.apache.commons.math3.util.ResizableDoubleArray
Deprecated. As of 3.1. Please use ResizableDoubleArray.ExpansionMode.ADDITIVE instead.
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
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
Add an observed weighted (x,y) point to the sample.
addObservedPoint(WeightedObservedPoint) - Method in class org.apache.commons.math3.fitting.CurveFitter
Add an observed weighted (x,y) point to the sample.
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.optimization.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.
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.
addRule(Pair<T[], T[]>) - Method in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
Stores a rule.
addSamplePoint(T, T[]...) - Method in class org.apache.commons.math3.analysis.interpolation.FieldHermiteInterpolator
Add a sample point.
addSamplePoint(double, double[]...) - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
Add a sample point.
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(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.
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, 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, T) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
Change an entry in the specified row and column.
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, double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Change an entry at the specified index.
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, 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, T) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
Deprecated. 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, double) - Method in class org.apache.commons.math3.linear.RealVector
Change an entry at the specified index.
addToEntry(int, int, T) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
Deprecated. Change an entry in the specified row and column.
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.MultivariateSummaryStatistics
Add an n-tuple to the data
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.SynchronizedMultivariateSummaryStatistics
Add an n-tuple to the data
addValue(double) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Add a value to the data
addValue(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency
Adds 1 to the frequency count for v.
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(char) - Method in class org.apache.commons.math3.stat.Frequency
Adds 1 to the frequency count for v.
advance(RealVector.Entry) - Method in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
Deprecated. Advance an entry up to the next nonzero one.
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.
aggregate(Collection<SummaryStatistics>) - Static method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
Computes aggregate summary statistics.
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.
align(int) - Method in class org.apache.commons.math3.dfp.Dfp
Make our exp equal to the supplied one, this may cause rounding.
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.
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.
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.
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.
AnyMatrix - Interface in org.apache.commons.math3.linear
Interface defining very basic matrix operations.
append(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Construct a vector by appending a vector to this vector.
append(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Construct a vector by appending a vector to this vector.
append(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Construct a vector by appending a T to this vector.
append(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Construct a new 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(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Construct a new vector by appending a double 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(T) - Method in interface org.apache.commons.math3.linear.FieldVector
Construct a vector by appending a T to this vector.
append(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Deprecated. Optimized method to append a OpenMapRealVector.
append(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Deprecated. Construct a new vector by appending a vector to this vector.
append(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Deprecated. Construct a new vector by appending a double 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(double) - Method in class org.apache.commons.math3.linear.RealVector
Construct a new vector by appending a double to this vector.
append(SparseFieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Deprecated. Construct a vector by appending a vector to this vector.
append(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Deprecated. Construct a vector by appending a vector to this vector.
append(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Deprecated. Construct a vector by appending a T to this vector.
append(ContinuousOutputModel) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
Append another model at the end of the instance.
apply(Vector<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Transform
Transform a point of a space.
apply(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Transform
Transform an hyperplane of a space.
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(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(FieldVector3D<T>) - 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.FieldRotation
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.
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(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(FieldRotation<T>) - 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.FieldRotation
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(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
Apply the inverse of the rotation to a vector.
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(Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
Apply the inverse of 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(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
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.
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(Rotation, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Apply a rotation to a vector.
applyTo(FieldRotation<T>) - 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.FieldRotation
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(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
Apply the rotation to a vector.
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(Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
Apply the instance to another rotation.
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.
ArgUtils - Class in org.apache.commons.math3.exception.util
Utility class for transforming the list of arguments passed to constructors of exceptions.
ArithmeticUtils - Class in org.apache.commons.math3.util
Some useful, arithmetics related, additions to the built-in functions in Math.
Array2DRowFieldMatrix<T extends FieldElement<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(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[][]) - 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.
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(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.
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(int, int) - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix
Create a new RealMatrix with the supplied row and column dimensions.
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(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.
ArrayFieldVector<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
This class implements the FieldVector interface with a FieldElement array.
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(int, T) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
Construct a vector with preset values.
ArrayFieldVector(T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
Construct a vector from an array, copying the input array.
ArrayFieldVector(Field<T>, 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(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(T[], int, int) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
Construct a vector from part of a 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(FieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
Construct a vector from another vector, using a deep copy.
ArrayFieldVector(ArrayFieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
Construct a vector from another vector, using a deep copy.
ArrayFieldVector(ArrayFieldVector<T>, boolean) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
Construct a vector from another vector.
ArrayFieldVector(ArrayFieldVector<T>, ArrayFieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
Deprecated. as of 3.2, replaced by ArrayFieldVector.ArrayFieldVector(FieldVector, FieldVector)
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(ArrayFieldVector<T>, T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
Deprecated. as of 3.2, replaced by ArrayFieldVector.ArrayFieldVector(FieldVector, FieldElement[])
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[], ArrayFieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
Deprecated. as of 3.2, replaced by ArrayFieldVector.ArrayFieldVector(FieldElement[], FieldVector)
ArrayFieldVector(T[], FieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
Construct a vector by appending one vector to another vector.
ArrayFieldVector(T[], T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
Construct a vector by appending one vector to another vector.
ArrayFieldVector(Field<T>, 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(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, 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[], int, int) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
Construct a vector from part of a array.
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(RealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
Construct a vector from another vector, using a deep copy.
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, 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, ArrayRealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
Construct a vector by appending one vector to 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(double[], ArrayRealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
ArrayRealVector(double[], double[]) - 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(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Compute arc sine of a derivative structure.
Asin - Class in org.apache.commons.math3.analysis.function
Arc-sine function.
Asin() - Constructor for class org.apache.commons.math3.analysis.function.Asin
 
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(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
computes the arc-sine of the argument.
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.
asinh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Inverse hyperbolic sine operation.
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
 
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.
asList() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
Build an ordered list of intervals representing the instance.
atan() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Arc tangent operation.
atan(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Compute arc tangent of a derivative structure.
Atan - Class in org.apache.commons.math3.analysis.function
Arc-tangent function.
Atan() - Constructor for class org.apache.commons.math3.analysis.function.Atan
 
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(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() - 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
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(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 - Class in org.apache.commons.math3.analysis.function
Arc-tangent function.
Atan2() - Constructor for class org.apache.commons.math3.analysis.function.Atan2
 
atan2(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
Two arguments arc tangent operation.
atan2(T) - Method in interface org.apache.commons.math3.RealFieldElement
Two arguments arc tangent operation.
atan2(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
Two arguments arc tangent operation.
atan2(double, double) - Static method in class org.apache.commons.math3.util.FastMath
Two arguments arctangent function
atanh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Inverse hyperbolic tangent operation.
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
 
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.
atanInternal(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
computes the arc-tangent of the argument.
AVLTree<T extends Comparable<T>> - Class in org.apache.commons.math3.geometry.partitioning.utilities
This class implements AVL trees.
AVLTree() - Constructor for class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
Build an empty tree.
AVLTree.Node - Class in org.apache.commons.math3.geometry.partitioning.utilities
This class implements AVL trees nodes.

B

BaseAbstractMultivariateOptimizer<FUNC extends MultivariateFunction> - 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. See SimpleValueChecker.SimpleValueChecker()
BaseAbstractMultivariateOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
Deprecated.  
BaseAbstractMultivariateSimpleBoundsOptimizer<FUNC extends MultivariateFunction> - 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. See SimpleValueChecker.SimpleValueChecker()
BaseAbstractMultivariateSimpleBoundsOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateSimpleBoundsOptimizer
Deprecated.  
BaseAbstractMultivariateVectorOptimizer<FUNC extends MultivariateVectorFunction> - Class in org.apache.commons.math3.optimization.direct
Deprecated. As of 3.1 (to be removed in 4.0).
BaseAbstractMultivariateVectorOptimizer() - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
Deprecated. See SimpleVectorValueChecker.SimpleVectorValueChecker()
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, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
Construct an integrator with given accuracies and iteration counts.
BaseAbstractUnivariateIntegrator(double, double) - Constructor for class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
Construct an integrator with given accuracies.
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 extends UnivariateFunction> - 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 extends MultivariateFunction> - 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(ConvergenceChecker<PAIR>) - Constructor for class org.apache.commons.math3.optim.BaseMultivariateOptimizer
 
BaseMultivariateOptimizer<FUNC extends MultivariateFunction> - Interface in org.apache.commons.math3.optimization
Deprecated. As of 3.1 (to be removed in 4.0).
BaseMultivariateSimpleBoundsOptimizer<FUNC extends MultivariateFunction> - Interface in org.apache.commons.math3.optimization
Deprecated. As of 3.1 (to be removed in 4.0).
BaseMultivariateVectorMultiStartOptimizer<FUNC extends MultivariateVectorFunction> - 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 extends MultivariateVectorFunction> - 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(ConvergenceChecker<PAIR>) - Constructor for class org.apache.commons.math3.optim.BaseOptimizer
 
BaseOptimizer<PAIR> - Interface in org.apache.commons.math3.optimization
Deprecated. As of 3.1 (to be removed in 4.0).
BaseRuleFactory<T extends Number> - 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, 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, double, 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.
BaseUnivariateOptimizer<FUNC extends UnivariateFunction> - Interface in org.apache.commons.math3.optimization.univariate
Deprecated. As of 3.1 (to be removed in 4.0).
BaseUnivariateSolver<FUNC extends UnivariateFunction> - Interface in org.apache.commons.math3.analysis.solvers
Interface for (univariate real) rootfinding algorithms.
Beta - Class in org.apache.commons.math3.special
This is a utility class that provides computation methods related to the Beta family of functions.
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, double) - Constructor for class org.apache.commons.math3.distribution.BetaDistribution
Creates a β distribution.
BicubicSplineInterpolatingFunction - Class in org.apache.commons.math3.analysis.interpolation
Function that implements the bicubic spline interpolation.
BicubicSplineInterpolatingFunction(double[], double[], double[][], double[][], double[][], double[][]) - Constructor for class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
 
BicubicSplineInterpolator - Class in org.apache.commons.math3.analysis.interpolation
Generates a bicubic interpolating function.
BicubicSplineInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolator
 
bigDecimalValue() - Method in class org.apache.commons.math3.fraction.BigFraction
Gets the fraction as a BigDecimal.
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.
bigDecimalValue() - Method in class org.apache.commons.math3.util.BigReal
Get the BigDecimal value corresponding to the instance.
BigFraction - Class in org.apache.commons.math3.fraction
Representation of a rational number without any overflow.
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.
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, 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.
BigFractionField - Class in org.apache.commons.math3.fraction
Representation of the fractional numbers without any overflow field.
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.
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(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.
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.
BigRealField - Class in org.apache.commons.math3.util
Representation of real numbers with arbitrary precision field.
BinaryChromosome - Class in org.apache.commons.math3.genetics
Chromosome represented by a vector of 0s and 1s.
BinaryChromosome(List<Integer>) - Constructor for class org.apache.commons.math3.genetics.BinaryChromosome
Constructor.
BinaryChromosome(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
 
binomialCoefficient(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
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
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
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.
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.
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.
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.
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.
BlockFieldMatrix<T extends FieldElement<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(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.
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.
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(int, int) - Constructor for class org.apache.commons.math3.linear.BlockRealMatrix
Create a new matrix with the supplied row and column dimensions.
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, double[][], boolean) - Constructor for class org.apache.commons.math3.linear.BlockRealMatrix
Create a new dense matrix copying entries from block layout data.
BOBYQAOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
Powell's BOBYQA algorithm.
BOBYQAOptimizer(int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
 
BOBYQAOptimizer(int, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
 
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.optimization.direct.BOBYQAOptimizer
Deprecated.  
BOBYQAOptimizer(int, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
Deprecated.  
BoundaryAttribute<S extends Space> - 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
Simple constructor.
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.
bracket(UnivariateFunction, double, double, double) - 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 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.
BracketedUnivariateSolver<FUNC extends UnivariateFunction> - 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() - Constructor for class org.apache.commons.math3.optim.univariate.BracketFinder
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 - 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.optimization.univariate.BracketFinder
Deprecated. Constructor with default values 100, 50 (see the other constructor).
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, 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, double, double, int) - Constructor for class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
Construct a solver.
BracketingNthOrderBrentSolverDFP - Class in org.apache.commons.math3.dfp
This class implements a modification of the Brent algorithm.
BracketingNthOrderBrentSolverDFP(Dfp, Dfp, Dfp, int) - Constructor for class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
Construct a solver.
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(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) - 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 - Class in org.apache.commons.math3.optimization.univariate
Deprecated. As of 3.1 (to be removed in 4.0).
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.
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.
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 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.
BSPTree<S extends Space> - 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 extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
This interface gather the merging operations between a BSP tree leaf and another BSP tree.
BSPTreeVisitor<S extends Space> - 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.
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(Field<T>, int, int) - Static method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Deprecated. as of 3.2, replaced by MathArrays.buildArray(Field, int, int)
buildArray(Field<T>, int) - 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.util.MathArrays
Build a double dimension array of elements.
buildConvex(Hyperplane<S>...) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
Build a convex region from a collection of bounding hyperplanes.
buildNew(BSPTree<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
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(BSPTree<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
Build a region using the instance as a prototype.
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(BSPTree<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
Build a region using the instance as a prototype.
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(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
Build a region using the instance as a prototype.
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.
buildNew(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
Build a region using the instance as a prototype.
byteValue() - Method in class org.apache.commons.math3.util.Decimal64
The current implementation performs casting to a byte.

C

calculateAdjustedRSquared() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
Returns the adjusted R-squared statistic, defined by the formula R2adj = 1 - [SSR (n - 1)] / [SSTO (n - p)] where SSR is the sum of squared residuals, SSTO is the total sum of squares, n is the number of observations and p is the number of parameters estimated (including the intercept).
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.
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 Var(u) = Tr(u' Omega^-1 u)/(n-k) where n and k are the row and column dimensions of the design matrix X.
calculateHat() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
Compute the "hat" matrix.
calculateNumericalMean() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
used by WeibullDistribution.getNumericalMean()
calculateNumericalMean() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
Used by ZipfDistribution.getNumericalMean().
calculateNumericalVariance() - Method in class org.apache.commons.math3.distribution.FDistribution
used by FDistribution.getNumericalVariance()
calculateNumericalVariance() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
Used by HypergeometricDistribution.getNumericalVariance().
calculateNumericalVariance() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
used by WeibullDistribution.getNumericalVariance()
calculateNumericalVariance() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
Used by ZipfDistribution.getNumericalVariance().
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 R2 = 1 - SSR / SSTO where SSR is the sum of squared residuals and SSTO is the total sum of squares
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.
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
Checks whether a single increment is allowed.
CardanEulerSingularityException - Exception 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 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, 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 - Class in org.apache.commons.math3.analysis.function
Cube root function.
Cbrt() - Constructor for class org.apache.commons.math3.analysis.function.Cbrt
 
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.
cdf(double) - Method in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
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
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
Calculates P(D_n < d) using method described in [1] with quick decisions for extreme values given in [2] (see above).
ceil() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Get the smallest whole number larger than instance.
Ceil - Class in org.apache.commons.math3.analysis.function
ceil function.
Ceil() - Constructor for class org.apache.commons.math3.analysis.function.Ceil
 
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.
CentroidCluster<T extends Clusterable> - 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<T>) - Method in interface org.apache.commons.math3.stat.clustering.Clusterable
Deprecated. Returns the centroid of the given Collection of points.
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.
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
 
checkAdditionCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Check if a matrix is addition compatible with the instance.
checkAdditionCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Check if matrices are addition compatible.
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(float, float) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Deprecated. As of 3.1. Please use ResizableDoubleArray.checkContractExpand(double,double) instead.
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.
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.RealVector
Check if an index is valid.
checkIndices(int, int) - Method in class org.apache.commons.math3.linear.RealVector
Checks that the indices of a subvector are valid.
checkMatrixIndex(AnyMatrix, int, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Check if matrix indices are valid.
checkMultiplicationCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Check if a matrix is multiplication compatible with the instance.
checkMultiplicationCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Check if matrices are multiplication compatible
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.
checkNotNull(Object, Localizable, Object...) - Static method in class org.apache.commons.math3.util.MathUtils
Checks that an object is not null.
checkNotNull(Object) - Static method in class org.apache.commons.math3.util.MathUtils
Checks that an object is not null.
checkOrder(double[], MathArrays.OrderDirection, boolean, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
Check that the given array is sorted.
checkOrder(double[], MathArrays.OrderDirection, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
Check that the given array is sorted.
checkOrder(double[]) - Static method in class org.apache.commons.math3.util.MathArrays
Check that the given array is sorted in strictly increasing order.
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.
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.
checkPoint(double, double) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
Check a point with respect to the interval.
checkPoint(Vector<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
Check a point with respect to the region.
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(Vector<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
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.
checkSubMatrixIndex(int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Check if submatrix ranges indices are valid.
checkSubMatrixIndex(int[], int[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
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.
checkSubMatrixIndex(AnyMatrix, int[], int[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Check if submatrix ranges indices are valid.
checkSubtractionCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Check if a matrix is subtraction compatible with the instance.
checkSubtractionCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Check if matrices are subtraction compatible
checkSymmetric(RealMatrix, double) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Checks whether a matrix is symmetric.
checkValidity(List<T>) - Method in class org.apache.commons.math3.genetics.AbstractListChromosome
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<Double>) - Method in class org.apache.commons.math3.genetics.RandomKey
Asserts that representation can represent a valid chromosome.
checkVectorDimensions(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Check if instance and specified vectors have the same dimension.
checkVectorDimensions(int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Check if instance dimension is equal to some expected value.
checkVectorDimensions(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Check if instance and specified vectors have the same dimension.
checkVectorDimensions(int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Check if instance dimension is equal to some expected value.
checkVectorDimensions(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
Check if instance and specified vectors have the same dimension.
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
Deprecated. Check if instance dimension is equal to some expected value.
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(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(double[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
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, 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 - 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
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[], 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(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[][], 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(double[], long[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
chiSquareTest(double[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
chiSquareTest(long[][], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
chiSquareTest(long[][]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
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[], 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[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
chiSquareTestDataSetsComparison(long[], long[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
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.
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.
classes() - Method in class org.apache.commons.math3.util.TransformerMap
Returns the Set of Classes used as keys in the map.
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.
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.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
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.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.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 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.AbstractIntegrator
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
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.AbstractIntegrator
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.
closeReplayFile() - Method in class org.apache.commons.math3.random.ValueServer
Closes valuesFileURL after use in REPLAY_MODE.
closestPoint(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
Compute the point of the instance closest to another line.
Cluster<T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering
Cluster holding a set of Clusterable points.
Cluster() - Constructor for class org.apache.commons.math3.ml.clustering.Cluster
Build a cluster centered at a specified point.
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.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<T extends Clusterable<T>> - Class in org.apache.commons.math3.stat.clustering
Deprecated. As of 3.2 (to be removed in 4.0), use Cluster instead
Cluster(T) - Constructor for class org.apache.commons.math3.stat.clustering.Cluster
Deprecated. Build a cluster centered at a specified point.
cluster(Collection<T>) - Method in class org.apache.commons.math3.stat.clustering.DBSCANClusterer
Deprecated. Performs DBSCAN cluster analysis.
cluster(Collection<T>, int, int, int) - Method in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
Deprecated. Runs the K-means++ clustering algorithm.
cluster(Collection<T>, int, int) - Method in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
Deprecated. Runs the K-means++ clustering algorithm.
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<T extends Clusterable> - 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.
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(int, double, boolean, int, int, RandomGenerator, boolean, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
 
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. See SimpleValueChecker.SimpleValueChecker()
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.optimization.direct.CMAESOptimizer
Deprecated.  
CMAESOptimizer.PopulationSize - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
Population size.
CMAESOptimizer.PopulationSize(int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.PopulationSize
 
CMAESOptimizer.PopulationSize - Class in org.apache.commons.math3.optimization.direct
Deprecated. Population size.
CMAESOptimizer.PopulationSize(int) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer.PopulationSize
Deprecated.  
CMAESOptimizer.Sigma - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
Input sigma values.
CMAESOptimizer.Sigma(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.Sigma
 
CMAESOptimizer.Sigma - Class in org.apache.commons.math3.optimization.direct
Deprecated. Input sigma values.
CMAESOptimizer.Sigma(double[]) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer.Sigma
Deprecated.  
collector(BivariateFunction, UnivariateFunction, double) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
Returns a MultivariateFunction h(x[]) defined by h(x[]) = combiner(...combiner(combiner(initialValue,f(x[0])),f(x[1]))...)
collector(BivariateFunction, double) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
Returns a MultivariateFunction h(x[]) defined by h(x[]) = combiner(...combiner(combiner(initialValue,x[0]),x[1])...)
cols - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
Deprecated. As of 3.1.
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(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.
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.
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.
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
Compares this ordered T-uple with the specified object.
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()))
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.
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. a number which has both a real and imaginary part.
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.
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(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.
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.
ComplexUtils - Class in org.apache.commons.math3.complex
Static implementations of common Complex utilities functions.
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(UnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
Composes functions.
compose(UnivariateDifferentiableFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
Composes functions.
compose(DifferentiableUnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
Deprecated. as of 3.1 replaced by FunctionUtils.compose(UnivariateDifferentiableFunction...)
CompositeFormat - Class in org.apache.commons.math3.util
Base class for formatters of composite objects (complex numbers, vectors ...).
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.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.
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.
computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
Computes the correlation matrix for the columns of the input matrix.
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(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.
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.
computeCost(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
Computes the cost.
computeCost(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
Deprecated. Computes the cost.
computeCovarianceMatrix(RealMatrix, boolean) - Method in class org.apache.commons.math3.stat.correlation.Covariance
Compute a covariance matrix from a matrix 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(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(double[][]) - Method in class org.apache.commons.math3.stat.correlation.Covariance
Create a covariance matrix from a rectangular array whose columns represent covariates.
computeCovariances(double[], double) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
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[], double[], double[]) - Method in interface org.apache.commons.math3.ode.SecondaryEquations
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).
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.
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.
computeJacobian(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.JacobianMultivariateVectorOptimizer
Computes the Jacobian matrix.
computeLn(Dfp, Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.DfpField
Compute ln(a).
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.
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.nonlinear.scalar.MultivariateOptimizer
Computes the objective function value.
computeObjectiveValue(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
Computes 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.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.
computeObjectiveValue(double) - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
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.
computeResiduals(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
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.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.
computeSigma(double[], double) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
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.
computeStepGrowShrinkFactor(double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
Compute step grow/shrink factor according to normalized error.
computeWeightedJacobian(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
Computes the weighted Jacobian matrix.
computeWeightedJacobian(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
Deprecated. Computes the Jacobian matrix.
conjugate() - Method in class org.apache.commons.math3.complex.Complex
Return 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).
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
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.
containsClass(Class<?>) - Method in class org.apache.commons.math3.util.TransformerMap
Tests if a Class is present in the TransformerMap.
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.
containsTransformer(NumberTransformer) - Method in class org.apache.commons.math3.util.TransformerMap
Tests if a NumberTransformer is present in the TransformerMap.
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.
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.
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, 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, 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.
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.
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 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 org.apache.commons.math3.exception.ConvergenceException
Construct the exception.
ConvergenceException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.ConvergenceException
Construct the exception with a specific context and arguments.
convertToComplex(double[]) - Static method in class org.apache.commons.math3.complex.ComplexUtils
Convert an array of primitive doubles to an array of Complex objects.
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
Deprecated. Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Deprecated. 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
Deprecated. Make a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.SparseFieldVector
Deprecated. Returns a (deep) copy of this.
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(DescriptiveStatistics, DescriptiveStatistics) - Static method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
Returns a copy of the statistic with the same internal state.
copy(GeometricMean, GeometricMean) - Static method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
Returns a copy of the statistic with the same internal state.
copy(Kurtosis, Kurtosis) - Static method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
Returns a copy of the statistic with the same internal state.
copy(Mean, Mean) - Static method in class org.apache.commons.math3.stat.descriptive.moment.Mean
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
Returns a copy of the statistic with the same internal state.
copy(SecondMoment, SecondMoment) - Static method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
Returns a copy of the statistic with the same internal state.
copy(SemiVariance, SemiVariance) - Static method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
Returns a copy of the statistic with the same internal state.
copy(Skewness, Skewness) - Static method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
Returns a copy of the statistic with the same internal state.
copy(StandardDeviation, StandardDeviation) - Static method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
Returns a copy of the statistic with the same internal state.
copy(Variance, Variance) - Static method in class org.apache.commons.math3.stat.descriptive.moment.Variance
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
Returns a copy of the statistic with the same internal state.
copy(Max, Max) - Static method in class org.apache.commons.math3.stat.descriptive.rank.Max
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
Returns a copy of the statistic with the same internal state.
copy(Min, Min) - Static method in class org.apache.commons.math3.stat.descriptive.rank.Min
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
Returns a copy of the statistic with the same internal state.
copy(Percentile, Percentile) - Static method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
Copies source to dest.
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(Product, Product) - Static method in class org.apache.commons.math3.stat.descriptive.summary.Product
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
Returns a copy of the statistic with the same internal state.
copy(Sum, Sum) - Static method in class org.apache.commons.math3.stat.descriptive.summary.Sum
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
Returns a copy of the statistic with the same internal state.
copy(SumOfLogs, SumOfLogs) - Static method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
Returns a copy of the statistic with the same internal state.
copy(SumOfSquares, SumOfSquares) - Static method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Returns a copy of this SummaryStatistics instance with the same internal state.
copy(SummaryStatistics, SummaryStatistics) - Static method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
Returns a copy of this SynchronizedDescriptiveStatistics instance with the same internal state.
copy(SynchronizedDescriptiveStatistics, SynchronizedDescriptiveStatistics) - Static method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Returns a copy of this SynchronizedSummaryStatistics instance with the same internal state.
copy(SynchronizedSummaryStatistics, SynchronizedSummaryStatistics) - Static method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Copies source to dest.
copy() - Method in interface org.apache.commons.math3.stat.descriptive.UnivariateStatistic
Returns a copy of the statistic with the same internal state.
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.
copy() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Returns a copy of the ResizableDoubleArray.
copyOf(int[]) - Static method in class org.apache.commons.math3.util.MathArrays
Creates a copy of the source array.
copyOf(double[]) - 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.
copyOf(double[], int) - Static method in class org.apache.commons.math3.util.MathArrays
Creates a copy of the source 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.
copySign(DerivativeStructure) - 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.DerivativeStructure
Returns the instance with the sign of the argument.
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(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
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(T) - Method in interface org.apache.commons.math3.RealFieldElement
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(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
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(byte, byte) - 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(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.
copySubMatrix(int, int, int, int, T[][]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Copy a submatrix.
copySubMatrix(int[], int[], T[][]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Copy a submatrix.
copySubMatrix(int, int, int, int, double[][]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Copy a submatrix.
copySubMatrix(int[], int[], double[][]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Copy a submatrix.
copySubMatrix(int, int, int, int, T[][]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
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 interface org.apache.commons.math3.linear.RealMatrix
Copy a submatrix.
copySubMatrix(int[], int[], double[][]) - Method in interface org.apache.commons.math3.linear.RealMatrix
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.
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.PearsonsCorrelation
Computes the Pearson's product-moment correlation coefficient between the 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.
cos() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Cosine operation.
cos(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Compute cosine of a derivative structure.
Cos - Class in org.apache.commons.math3.analysis.function
Cosine function.
Cos() - Constructor for class org.apache.commons.math3.analysis.function.Cos
 
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(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
computes the cosine of the argument.
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.
cosh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Hyperbolic cosine operation.
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
 
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.
cosine(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
Computes the cosine of the angle between this vector and the argument.
cosInternal(Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath
Computes cos(a) Used when 0 < a < pi/4.
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).
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[][], boolean) - Constructor for class org.apache.commons.math3.stat.correlation.Covariance
Create a Covariance matrix from a rectangular array whose columns represent covariates.
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(RealMatrix, boolean) - Constructor for class org.apache.commons.math3.stat.correlation.Covariance
Create a covariance matrix from a matrix 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(double[], double[], boolean) - Method in class org.apache.commons.math3.stat.correlation.Covariance
Computes the covariance between the two arrays.
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.
covarianceToCorrelation(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
Derives a correlation matrix from a covariance matrix.
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(Field<T>, int, int) - Static method in class org.apache.commons.math3.linear.BlockFieldMatrix
Create a data array in blocks layout.
createBlocksLayout(int, int) - Static method in class org.apache.commons.math3.linear.BlockRealMatrix
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.
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.
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.
createHermitePolynomial(int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
Create a Hermite polynomial.
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.
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
Deprecated. 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
Deprecated. Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
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(int, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Returns a RealMatrix with specified dimensions.
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.
createRealVector(double[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Creates a RealVector using the data from the input array.
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.
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.
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.
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(Vector3D) - 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, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the cross-product of two vectors.
crossProduct(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Compute the cross-product of the instance with another vector.
crossProduct(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Compute the cross-product of two vectors.
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(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) - 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(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(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(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(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(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, 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).
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.LogNormalDistribution
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.LogNormalDistribution
Deprecated. See RealDistribution.cumulativeProbability(double,double)
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, double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
Deprecated. See RealDistribution.cumulativeProbability(double,double)
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(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, 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(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(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(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(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(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).
currentState - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
current state
CurveFitter<T extends ParametricUnivariateFunction> - Class in org.apache.commons.math3.fitting
Fitter for parametric univariate real functions y = f(x).
CurveFitter(MultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.fitting.CurveFitter
Simple constructor.
CurveFitter<T extends ParametricUnivariateFunction> - Class in org.apache.commons.math3.optimization.fitting
Deprecated. As of 3.1 (to be removed in 4.0).
CurveFitter(DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.CurveFitter
Deprecated. as of 3.1 replaced by CurveFitter.CurveFitter(MultivariateDifferentiableVectorOptimizer)
CurveFitter(MultivariateDifferentiableVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.CurveFitter
Deprecated. Simple constructor.
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.

D

DBSCANClusterer<T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering
DBSCAN (density-based spatial clustering of applications with noise) algorithm.
DBSCANClusterer(double, int) - Constructor for class org.apache.commons.math3.ml.clustering.DBSCANClusterer
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<T extends Clusterable<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.stat.clustering.DBSCANClusterer
Deprecated. Creates a new instance of a DBSCANClusterer.
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).
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.
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.
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.
DecompositionSolver - Interface in org.apache.commons.math3.linear
Interface handling decomposition algorithms that can solve A × X = B.
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.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_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
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_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_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.MatrixUtils
The default format for RealMatrix objects.
DEFAULT_INITIAL_RADIUS - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
Default value for BOBYQAOptimizer.initialTrustRegionRadius: 10.0 .
DEFAULT_INITIAL_RADIUS - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
Deprecated. Default value for BOBYQAOptimizer.initialTrustRegionRadius: 10.0 .
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.BetaDistribution
Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.CauchyDistribution
Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.ChiSquaredDistribution
Default inverse cumulative probability accuracy
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.ExponentialDistribution
Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.FDistribution
Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.GammaDistribution
Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.LogNormalDistribution
Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.NormalDistribution
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_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_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
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_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_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_ROBUSTNESS_ITERS - Static variable in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
Default value of the number of robustness iterations.
DEFAULT_SEPARATOR - Static variable in class org.apache.commons.math3.geometry.VectorFormat
The default separator: ", ".
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_TIES_STRATEGY - Static variable in class org.apache.commons.math3.stat.ranking.NaturalRanking
default ties strategy
DEFAULT_ZERO_TOLERANCE - Static variable in class org.apache.commons.math3.linear.OpenMapRealVector
Deprecated. Default Tolerance for having a value considered zero.
DefaultFieldMatrixChangingVisitor<T extends FieldElement<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 extends FieldElement<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, RealVector, double) - Constructor for class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
Creates a new instance of this class.
DefaultIterativeLinearSolverEvent(Object, int, 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[][], 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[][]) - 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
 
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() - 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.
delete(T) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
Delete an element from the tree.
delete() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
Delete the node from the tree.
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.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.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.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.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.
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 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.
derivative() - Method in interface org.apache.commons.math3.analysis.DifferentiableUnivariateFunction
Deprecated. Returns the derivative of the function
derivative() - Method in interface org.apache.commons.math3.analysis.DifferentiableUnivariateMatrixFunction
Deprecated. Returns the derivative of the function
derivative() - Method in interface org.apache.commons.math3.analysis.DifferentiableUnivariateVectorFunction
Deprecated. Returns the derivative of the function
derivative() - Method in class org.apache.commons.math3.analysis.function.Acos
Deprecated. as of 3.1, replaced by Acos.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Acosh
Deprecated. as of 3.1, replaced by Acosh.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Asin
Deprecated. as of 3.1, replaced by Asin.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Asinh
Deprecated. as of 3.1, replaced by Asinh.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Atan
Deprecated. as of 3.1, replaced by Atan.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Atanh
Deprecated. as of 3.1, replaced by Atanh.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Cbrt
Deprecated. as of 3.1, replaced by Cbrt.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Constant
Deprecated. as of 3.1, replaced by Constant.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Cos
Deprecated. as of 3.1, replaced by Cos.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Cosh
Deprecated. as of 3.1, replaced by Cosh.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Exp
Deprecated. as of 3.1, replaced by Exp.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Expm1
Deprecated. as of 3.1, replaced by Expm1.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Gaussian
Deprecated. as of 3.1, replaced by Gaussian.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator
Deprecated. as of 3.1, replaced by HarmonicOscillator.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Identity
Deprecated. as of 3.1, replaced by Identity.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Inverse
Deprecated. as of 3.1, replaced by Inverse.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Log
Deprecated. as of 3.1, replaced by Log.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Log10
Deprecated. as of 3.1, replaced by Log10.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Log1p
Deprecated. as of 3.1, replaced by Log1p.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Logistic
Deprecated. as of 3.1, replaced by Logistic.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Logit
Deprecated. as of 3.1, replaced by Logit.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Minus
Deprecated. as of 3.1, replaced by Minus.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Power
Deprecated. as of 3.1, replaced by Power.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Sigmoid
Deprecated. as of 3.1, replaced by Sigmoid.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Sin
Deprecated. as of 3.1, replaced by Sin.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Sinc
Deprecated. as of 3.1, replaced by Sinc.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Sinh
Deprecated. as of 3.1, replaced by Sinh.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Sqrt
Deprecated. as of 3.1, replaced by Sqrt.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Tan
Deprecated. as of 3.1, replaced by Tan.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Tanh
Deprecated. as of 3.1, replaced by Tanh.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
Returns the derivative as a UnivariateFunction.
derivative() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
Get the derivative of the polynomial spline function.
derivatives(T, int) - Method in class org.apache.commons.math3.analysis.interpolation.FieldHermiteInterpolator
Interpolate value and first derivatives at a specified abscissa.
DerivativeStructure - Class in org.apache.commons.math3.analysis.differentiation
Class representing both the value and the differentials of a function.
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, int, double) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Build an instance representing a variable.
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, double...) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Build an instance from all its derivatives.
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(int) - Constructor for class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Construct a DescriptiveStatistics instance with the specified 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(DescriptiveStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Copy constructor.
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.
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.
Dfp - Class in org.apache.commons.math3.dfp
Decimal floating point library for Java Another floating point class.
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, 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, double) - Constructor for class org.apache.commons.math3.dfp.Dfp
Create an instance from a double value.
Dfp(Dfp) - Constructor for class org.apache.commons.math3.dfp.Dfp
Copy constructor.
Dfp(DfpField, String) - Constructor for class org.apache.commons.math3.dfp.Dfp
Create an instance from a String representation.
Dfp(DfpField, byte, byte) - Constructor for class org.apache.commons.math3.dfp.Dfp
Creates an instance with a non-finite value.
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(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, 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, double) - Constructor for class org.apache.commons.math3.dfp.DfpDec
Create an instance from a double value.
DfpDec(Dfp) - Constructor for class org.apache.commons.math3.dfp.DfpDec
Copy constructor.
DfpDec(DfpField, String) - Constructor for class org.apache.commons.math3.dfp.DfpDec
Create an instance from a String representation.
DfpDec(DfpField, byte, byte) - Constructor for class org.apache.commons.math3.dfp.DfpDec
Creates an instance with a non-finite value.
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.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.
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).
DiagonalMatrix - Class in org.apache.commons.math3.linear
Implementation of a diagonal matrix.
DiagonalMatrix(int) - Constructor for class org.apache.commons.math3.linear.DiagonalMatrix
Creates a matrix with the supplied dimension.
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.
difference(Region<S>, Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
Compute the difference of two regions.
DifferentiableMultivariateFunction - Interface in org.apache.commons.math3.analysis
Deprecated. as of 3.1 replaced by MultivariateDifferentiableFunction
DifferentiableMultivariateMultiStartOptimizer - Class in org.apache.commons.math3.optimization
Deprecated. As of 3.1 (to be removed in 4.0).
DifferentiableMultivariateMultiStartOptimizer(DifferentiableMultivariateOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.DifferentiableMultivariateMultiStartOptimizer
Deprecated. Create a multi-start optimizer from a single-start optimizer.
DifferentiableMultivariateOptimizer - Interface in org.apache.commons.math3.optimization
Deprecated. As of 3.1 (to be removed in 4.0).
DifferentiableMultivariateVectorFunction - Interface in org.apache.commons.math3.analysis
Deprecated. as of 3.1 replaced by MultivariateDifferentiableVectorFunction
DifferentiableMultivariateVectorMultiStartOptimizer - Class in org.apache.commons.math3.optimization
Deprecated. As of 3.1 (to be removed in 4.0).
DifferentiableMultivariateVectorMultiStartOptimizer(DifferentiableMultivariateVectorOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.DifferentiableMultivariateVectorMultiStartOptimizer
Deprecated. Create a multi-start optimizer from a single-start optimizer.
DifferentiableMultivariateVectorOptimizer - Interface in org.apache.commons.math3.optimization
Deprecated. As of 3.1 (to be removed in 4.0).
DifferentiableUnivariateFunction - Interface in org.apache.commons.math3.analysis
Deprecated. as of 3.1 replaced by UnivariateDifferentiableFunction
DifferentiableUnivariateMatrixFunction - Interface in org.apache.commons.math3.analysis
Deprecated. as of 3.1 replaced by UnivariateDifferentiableMatrixFunction
DifferentiableUnivariateSolver - Interface in org.apache.commons.math3.analysis.solvers
Deprecated. as of 3.1, replaced by UnivariateDifferentiableSolver
DifferentiableUnivariateVectorFunction - Interface in org.apache.commons.math3.analysis
Deprecated. as of 3.1 replaced by UnivariateDifferentiableVectorFunction
differentiate(UnivariateFunction) - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
Create an implementation of a differential from a regular 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(UnivariateMatrixFunction) - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
Create an implementation of a differential from a regular matrix 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 interface org.apache.commons.math3.analysis.differentiation.UnivariateMatrixFunctionDifferentiator
Create an implementation of a differential from a regular matrix function.
differentiate(UnivariateVectorFunction) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateVectorFunctionDifferentiator
Create an implementation of a differential from a regular vector function.
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.
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.
DimensionMismatchException - Exception in org.apache.commons.math3.exception
Exception to be thrown when two dimensions differ.
DimensionMismatchException(Localizable, int, int) - Constructor for exception org.apache.commons.math3.exception.DimensionMismatchException
Construct an exception from the mismatched dimensions.
DimensionMismatchException(int, int) - Constructor for exception org.apache.commons.math3.exception.DimensionMismatchException
Construct an exception from the mismatched dimensions.
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.
distance(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 L2 norm.
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(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(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(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) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
Compute the distance between the instance and a point.
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(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(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(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(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(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(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.
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(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(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(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, 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(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(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<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.
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.
distanceFrom(T) - Method in interface org.apache.commons.math3.stat.clustering.Clusterable
Deprecated. Returns the distance from the given point.
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.
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(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(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(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, 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(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(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(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(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<S>) - Method in interface org.apache.commons.math3.geometry.Vector
Compute the distance between the instance and another vector according to the L norm.
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.
DistanceMeasure - Interface in org.apache.commons.math3.ml.distance
Interface for distance measures of n-dimensional 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(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(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(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, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the square of the distance between two vectors.
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(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Compute the square of the distance between two vectors.
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(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<S>) - Method in interface org.apache.commons.math3.geometry.Vector
Compute the square of the distance between the instance and another vector.
divide(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
'÷s;' operator.
divide(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Compute this ÷ a.
divide(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Perform division of two derivative structures.
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(Complex) - Method in class org.apache.commons.math3.complex.Complex
Returns a Complex whose value is (this / divisor).
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(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
Divide this by divisor.
divide(int) - Method in class org.apache.commons.math3.dfp.Dfp
Divide by a single digit less than radix.
divide(double) - Method in class org.apache.commons.math3.dfp.Dfp
'÷s;' operator.
divide(T) - Method in interface org.apache.commons.math3.FieldElement
Compute this ÷ a.
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(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(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(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(int) - Method in class org.apache.commons.math3.fraction.Fraction
Divide the fraction by an integer.
divide(double) - Method in interface org.apache.commons.math3.RealFieldElement
'÷s;' operator.
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(double) - Method in class org.apache.commons.math3.util.Decimal64
'÷s;' operator.
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
 
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.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.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.
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
Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
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.
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.
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.
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, Quaternion) - Static method in class org.apache.commons.math3.complex.Quaternion
Computes the dot-product of two quaternions.
dotProduct(Quaternion) - Method in class org.apache.commons.math3.complex.Quaternion
Computes the dot-product of the instance by a quaternion.
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(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the dot-product of the instance and another vector.
dotProduct(Vector3D) - 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, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the dot-product of two vectors.
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(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Compute the dot-product of two vectors.
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(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Compute the dot product.
dotProduct(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Compute the dot product.
dotProduct(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Compute the dot product of this vector with v.
dotProduct(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
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.RealVector
Compute the dot product of this vector with v.
dotProduct(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Deprecated. Compute the dot product.
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.
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
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
DSCompiler - Class in org.apache.commons.math3.analysis.differentiation
Class holding "compiled" computation rules for derivative structures.
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).
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.

E

E - Static variable in class org.apache.commons.math3.util.FastMath
Napier's constant e, base of the natural logarithm.
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(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Element-by-element division.
ebeDivide(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Element-by-element division.
ebeDivide(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Element-by-element division.
ebeDivide(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
Element-by-element division.
ebeDivide(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Deprecated. Element-by-element division.
ebeDivide(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
Deprecated. As of version 3.1, this method is deprecated, and will be removed in version 4.0. This decision follows the discussion reported in MATH-803. Uses of this method involving sparse implementations of RealVector might lead to wrong results. Since there is no satisfactory correction to this bug, this method is deprecated. Users who want to preserve this feature are advised to implement RealVectorPreservingVisitor (possibly ignoring corner cases for the sake of efficiency).
ebeDivide(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Deprecated. Element-by-element division.
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.
ebeMultiply(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Element-by-element multiplication.
ebeMultiply(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Element-by-element multiplication.
ebeMultiply(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Element-by-element multiplication.
ebeMultiply(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
Element-by-element multiplication.
ebeMultiply(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Deprecated. Element-by-element multiplication.
ebeMultiply(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
Deprecated. As of version 3.1, this method is deprecated, and will be removed in version 4.0. This decision follows the discussion reported in MATH-803. Uses of this method involving sparse implementations of RealVector might lead to wrong results. Since there is no satisfactory correction to this bug, this method is deprecated. Users who want to preserve this feature are advised to implement RealVectorPreservingVisitor (possibly ignoring corner cases for the sake of efficiency).
ebeMultiply(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Deprecated. Element-by-element multiplication.
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.
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.
EigenDecomposition - Class in org.apache.commons.math3.linear
Calculates the eigen decomposition of a real matrix.
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(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
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(List<Chromosome>, int, double) - Constructor for class org.apache.commons.math3.genetics.ElitisticListPopulation
Creates a new ElitisticListPopulation instance.
ElitisticListPopulation(int, double) - Constructor for class org.apache.commons.math3.genetics.ElitisticListPopulation
Creates a new ElitisticListPopulation instance and initializes its inner chromosome list.
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 extends Space,T extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
This interface defines mappers between a space and one of its sub-spaces.
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, 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(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(int, RandomDataImpl) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
Deprecated. As of 3.1. Please use EmpiricalDistribution.EmpiricalDistribution(int,RandomGenerator) instead.
EmpiricalDistribution(RandomDataImpl) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
Deprecated. As of 3.1. Please use EmpiricalDistribution.EmpiricalDistribution(RandomGenerator) instead.
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.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.
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[], double[]) - Constructor for class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
Create a discrete distribution using the given probability mass function definition.
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[], double[]) - Constructor for class org.apache.commons.math3.distribution.EnumeratedRealDistribution
Create a discrete distribution using the given probability mass function enumeration.
EnumeratedRealDistribution(RandomGenerator, double[], double[]) - Constructor for class org.apache.commons.math3.distribution.EnumeratedRealDistribution
Create a discrete distribution using the given random number generator and probability mass function enumeration.
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.
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.polynomials.PolynomialFunction
equals(Object) - Method in class org.apache.commons.math3.complex.Complex
Test for the equality of two Complex objects.
equals(Object) - Method in class org.apache.commons.math3.complex.Quaternion
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.
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.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
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
Deprecated.  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
Deprecated. 
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.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.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.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.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(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(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(Object) - Method in class org.apache.commons.math3.util.Pair
Compare the specified object with this entry for equality.
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 both 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 both arguments are equal or within the range of allowed error (inclusive).
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 both arguments are equal or within the range of allowed error (inclusive).
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
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(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(float, float) - Static method in class org.apache.commons.math3.util.Precision
Returns true if both arguments are NaN or neither is NaN and 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 both arguments are NaN or are equal or within the range of allowed error (inclusive).
equalsIncludingNaN(float, float, 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(double, double) - Static method in class org.apache.commons.math3.util.Precision
Returns true if both arguments are NaN or neither is NaN and 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 both arguments are NaN or are equal or 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).
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 reltaive difference between them is smaller or equal to the given tolerance.
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 - Class in org.apache.commons.math3.special
This is a utility class that provides computation methods related to the error functions.
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).
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
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).
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.
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.
Euclidean1D - Class in org.apache.commons.math3.geometry.euclidean.oned
This class implements a one-dimensional space.
Euclidean2D - Class in org.apache.commons.math3.geometry.euclidean.twod
This class implements a three-dimensional space.
Euclidean3D - Class in org.apache.commons.math3.geometry.euclidean.threed
This class implements a three-dimensional space.
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.
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.
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[], 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(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(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[], 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() - 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.AbstractUnivariateStatistic
Returns the result of evaluating the statistic over the input array.
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[], 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[]) - 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[], 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[], 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.stat.descriptive.moment.SemiVariance
Returns the SemiVariance of the designated values against the cutoff, using instance properties variancDirection and biasCorrection.
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[], 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[]) - 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[], 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[], 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) - 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[]) - 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[], 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[], 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[]) - 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, 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) - 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[], 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[], 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[], 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) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
Returns the result of evaluating the statistic over the stored data.
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[], 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, 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[], 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[], 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[]) - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
Returns the weighted product of the entries in the input array.
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[], 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[]) - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
The weighted sum of the entries in the the input array.
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[]) - Method in interface org.apache.commons.math3.stat.descriptive.UnivariateStatistic
Returns the result of evaluating the statistic over the input array.
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[], 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[], 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) - Method in class org.apache.commons.math3.util.ContinuedFraction
Evaluates the continued fraction at the value x.
evaluate(double, double) - 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(double, double, int) - Method in class org.apache.commons.math3.util.ContinuedFraction
Evaluates the continued fraction at the value x.
evaluate(double[]) - Method in interface org.apache.commons.math3.util.MathArrays.Function
Operates on an entire array.
evaluate(double[], int, int) - Method in interface org.apache.commons.math3.util.MathArrays.Function
 
evaluateStep(StepInterpolator) - Method in class org.apache.commons.math3.ode.events.EventState
Evaluate the impact of the proposed step on the event handler.
evaluations - Variable in class org.apache.commons.math3.optim.BaseOptimizer
Evaluations counter.
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.
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.
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.
evolve(Population, StoppingCondition) - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
Evolve the given population.
exactLog2(int) - Static method in class org.apache.commons.math3.transform.TransformUtils
Returns the base-2 logarithm of the specified int.
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.
ExceptionContextProvider - Interface in org.apache.commons.math3.exception.util
Interface for accessing the context data structure stored in Commons Math exceptions.
exp() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Exponential.
exp(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Compute exponential of a derivative structure.
Exp - Class in org.apache.commons.math3.analysis.function
Exponential function.
Exp() - Constructor for class org.apache.commons.math3.analysis.function.Exp
 
exp() - Method in class org.apache.commons.math3.complex.Complex
Compute the exponential function of this complex number.
exp - Variable in class org.apache.commons.math3.dfp.Dfp
Exponent.
exp() - Method in class org.apache.commons.math3.dfp.Dfp
Exponential.
exp(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
Computes e to the given power.
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.
expand() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Expands the internal storage array using the expansion factor.
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.
expInternal(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
Computes e to the given power.
expm1() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Exponential minus 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 - Class in org.apache.commons.math3.analysis.function
ex-1 function.
Expm1() - Constructor for class org.apache.commons.math3.analysis.function.Expm1
 
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
EXPONENTIAL_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
Exponential random deviates with mean = μ.
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, double) - Constructor for class org.apache.commons.math3.distribution.ExponentialDistribution
Creates an exponential distribution.
extractEquationData(double[], double[]) - Method in class org.apache.commons.math3.ode.EquationsMapper
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.

F

factorial(int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
Returns n!.
factorialDouble(int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
Compute n!
factorialLog(int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
Compute the natural logarithm of the factorial of n.
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.
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.
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.
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, double) - Constructor for class org.apache.commons.math3.distribution.FDistribution
Creates an F distribution.
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<T> - Interface in org.apache.commons.math3
Interface representing a field.
FieldDecompositionSolver<T extends FieldElement<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.
FieldHermiteInterpolator<T extends FieldElement<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 extends FieldElement<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.
FieldMatrix<T extends FieldElement<T>> - Interface in org.apache.commons.math3.linear
Interface defining field-valued matrix with basic algebraic operations.
FieldMatrixChangingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math3.linear
Interface defining a visitor for matrix entries.
FieldMatrixPreservingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math3.linear
Interface defining a visitor for matrix entries.
FieldRotation<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.geometry.euclidean.threed
This class is a re-implementation of Rotation using RealFieldElement.
FieldRotation(T, T, T, T, boolean) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Build a rotation from the quaternion coordinates.
FieldRotation(FieldVector3D<T>, T) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Build a rotation from an axis and an angle.
FieldRotation(T[][], double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Build a rotation from a 3X3 matrix.
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 vector into another pair.
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(RotationOrder, T, T, T) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Build a rotation from three Cardan or Euler elementary rotations.
FieldVector<T extends FieldElement<T>> - Interface in org.apache.commons.math3.linear
Interface defining a field-valued vector with basic algebraic operations.
FieldVector3D<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.geometry.euclidean.threed
This class is a re-implementation of Vector3D using RealFieldElement.
FieldVector3D(T, T, T) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Simple constructor.
FieldVector3D(T[]) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Simple constructor.
FieldVector3D(T, 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, 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(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(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, 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(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(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, 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(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(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, 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(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.
fill(double[]) - Method in class org.apache.commons.math3.random.ValueServer
Fills the input array with values generated using getNext() repeatedly.
fill(int) - Method in class org.apache.commons.math3.random.ValueServer
Returns an array of length length with values generated using getNext() repeatedly.
filterStep(double, boolean, boolean) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
Filter the integration step.
FilterType - Enum in org.apache.commons.math3.ode.events
Enumerate for filtering events.
finalizeStep() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
Finalize the step.
findSameChromosome(Population) - Method in class org.apache.commons.math3.genetics.Chromosome
Searches the population for another chromosome with the same representation.
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.
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.
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.
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.
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.
FirstOrderIntegrator - Interface in org.apache.commons.math3.ode
This interface represents a first order integrator for differential equations.
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(MixtureMultivariateNormalDistribution) - 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
Fit a curve.
fit(int, T, double[]) - Method in class org.apache.commons.math3.fitting.CurveFitter
Fit a curve.
fit(double[]) - Method in class org.apache.commons.math3.fitting.GaussianFitter
Fits a Gaussian function to the observed points.
fit() - Method in class org.apache.commons.math3.fitting.GaussianFitter
Fits a Gaussian function to the observed points.
fit(double[]) - Method in class org.apache.commons.math3.fitting.HarmonicFitter
Fit an harmonic function to the observed points.
fit() - Method in class org.apache.commons.math3.fitting.HarmonicFitter
Fit an harmonic function to the observed points.
fit(int, double[]) - Method in class org.apache.commons.math3.fitting.PolynomialFitter
Get the coefficients of the polynomial fitting the weighted data points.
fit(double[]) - Method in class org.apache.commons.math3.fitting.PolynomialFitter
Get the coefficients of the polynomial fitting the weighted data points.
fit(T, double[]) - Method in class org.apache.commons.math3.optimization.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(double[]) - 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.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() - 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(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(double[]) - Method in class org.apache.commons.math3.optimization.fitting.PolynomialFitter
Deprecated. Get the coefficients of the polynomial fitting the weighted data points.
Fitness - Interface in org.apache.commons.math3.genetics
Fitness of a chromosome.
fitness() - Method in interface org.apache.commons.math3.genetics.Fitness
Compute the fitness.
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.
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.
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.
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 - Class in org.apache.commons.math3.analysis.function
floor function.
Floor() - Constructor for class org.apache.commons.math3.analysis.function.Floor
 
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.
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 was a bracketing one.
format(Complex) - Method in class org.apache.commons.math3.complex.ComplexFormat
This method calls ComplexFormat.format(Object,StringBuffer,FieldPosition).
format(Double) - Method in class org.apache.commons.math3.complex.ComplexFormat
This method calls ComplexFormat.format(Object,StringBuffer,FieldPosition).
format(Complex, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.complex.ComplexFormat
Formats a Complex object to produce a string.
format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.complex.ComplexFormat
Formats a object to produce a string.
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(BigFraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.BigFractionFormat
Formats a BigFraction 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(Fraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.FractionFormat
Formats a Fraction object to produce a string.
format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.FractionFormat
Formats an object and appends the result to a StringBuffer.
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.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(StringBuffer, FieldPosition, double...) - Method in class org.apache.commons.math3.geometry.VectorFormat
Formats the coordinates of a Vector to produce a string.
format(RealMatrix) - Method in class org.apache.commons.math3.linear.RealMatrixFormat
This method calls RealMatrixFormat.format(RealMatrix,StringBuffer,FieldPosition).
format(RealMatrix, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.linear.RealMatrixFormat
Formats a RealMatrix object to produce a string.
format(RealVector) - Method in class org.apache.commons.math3.linear.RealVectorFormat
This method calls RealVectorFormat.format(RealVector,StringBuffer,FieldPosition).
format(RealVector, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.linear.RealVectorFormat
Formats a RealVector object to produce a string.
formatBigFraction(BigFraction) - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
This static method calls formatBigFraction() on a default instance of BigFractionFormat.
formatDouble(double, NumberFormat, StringBuffer, FieldPosition) - Static method in class org.apache.commons.math3.util.CompositeFormat
Formats a double value to produce a string.
formatFraction(Fraction) - Static method in class org.apache.commons.math3.fraction.FractionFormat
This static method calls formatFraction() on a default instance of FractionFormat.
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".
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, 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.
FractionConversionException - Exception 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 org.apache.commons.math3.fraction.FractionConversionException
Constructs an exception with specified formatted detail message.
FractionConversionException(double, long, long) - Constructor for exception 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.
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.
fractionMatrixToRealMatrix(FieldMatrix<Fraction>) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Convert a FieldMatrix/Fraction matrix to a RealMatrix.
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.
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.
fst(double[]) - Method in class org.apache.commons.math3.transform.FastSineTransformer
Perform the FST algorithm (including inverse).
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.
FunctionUtils - Class in org.apache.commons.math3.analysis
Utilities for manipulating function objects.

G

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(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
 
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 - Static variable in class org.apache.commons.math3.special.Gamma
Euler-Mascheroni constant
gamma(double) - Static method in class org.apache.commons.math3.special.Gamma
Returns the value of Γ(x).
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, double) - Constructor for class org.apache.commons.math3.distribution.GammaDistribution
Creates a Gamma distribution.
Gaussian - Class in org.apache.commons.math3.analysis.function
Gaussian function.
Gaussian(double, double, double) - Constructor for class org.apache.commons.math3.analysis.function.Gaussian
Gaussian with given normalization factor, mean and standard deviation.
Gaussian(double, double) - Constructor for class org.apache.commons.math3.analysis.function.Gaussian
Normalized gaussian with given mean and standard deviation.
Gaussian() - Constructor for class org.apache.commons.math3.analysis.function.Gaussian
Normalized gaussian with zero mean and unit standard deviation.
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
Gaussian.Parametric() - Constructor for class org.apache.commons.math3.analysis.function.Gaussian.Parametric
 
GAUSSIAN_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
Gaussian random deviates with mean = μ, std dev = σ.
GaussianFitter - Class in org.apache.commons.math3.fitting
Fits points to a Gaussian function.
GaussianFitter(MultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.fitting.GaussianFitter
Constructs an instance using the specified optimizer.
GaussianFitter - Class in org.apache.commons.math3.optimization.fitting
Deprecated. As of 3.1 (to be removed in 4.0).
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
Guesses the parameters norm, mean, and sigma of a Gaussian.Parametric based on the specified observed points.
GaussianFitter.ParameterGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
Constructs instance with 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.
GaussianFitter.ParameterGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
Deprecated. Constructs instance with 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.optim.nonlinear.vector.jacobian
Gauss-Newton least-squares solver.
GaussNewtonOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.GaussNewtonOptimizer
Simple constructor with default settings.
GaussNewtonOptimizer(boolean, ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.GaussNewtonOptimizer
 
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.optimization.general.GaussNewtonOptimizer
Deprecated. See SimpleVectorValueChecker.SimpleVectorValueChecker()
GaussNewtonOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
Deprecated. Simple constructor with default settings.
GaussNewtonOptimizer(boolean) - Constructor for class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
Deprecated. See SimpleVectorValueChecker.SimpleVectorValueChecker()
GaussNewtonOptimizer(boolean, ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
Deprecated.  
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.
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
 
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.
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
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.
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
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 actual absolute accuracy.
getAbsoluteAccuracy() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
Get the actual 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 class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
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 R2adj = 1 - [SSR (n - 1)] / [SSTO (n - p)] where SSR is the sum of squared residuals}, SSTO is the total sum of squares}, n is the number of observations and p is the number of parameters estimated (including the intercept).
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.
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.
getAngles(RotationOrder) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Get the Cardan or Euler angles corresponding to the instance.
getAngles(RotationOrder) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
Get the Cardan or Euler angles corresponding to the instance.
getArgument() - Method in class org.apache.commons.math3.complex.Complex
Compute the argument of this complex number.
getArgument() - Method in exception 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).
getArrayRef() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Provides direct access to the internal storage array.
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
Get the normalized axis of the rotation.
getAxis() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
Get the normalized axis of the rotation.
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.
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.
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 org.apache.commons.math3.exception.NumberIsTooLargeException
 
getBoundIsAllowed() - Method in exception org.apache.commons.math3.exception.NumberIsTooSmallException
 
getBracketingStep() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.BracketingStep
Gets the initial step.
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(Vector<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
Get the cell to which a point belongs.
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
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.
getClusterer() - Method in class org.apache.commons.math3.ml.clustering.MultiKMeansPlusPlusClusterer
Returns the embedded k-means clusterer used by this instance.
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(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() - Method in exception org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException
 
getColumn() - Method in exception org.apache.commons.math3.linear.NonSymmetricMatrixException
 
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
Deprecated. 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
Deprecated. 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.
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
Get the components array.
getConditionNumber() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
Return the condition number of the matrix.
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.  
getContext() - Method in exception 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 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 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 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 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.
getConvergenceChecker() - Method in class org.apache.commons.math3.optim.BaseOptimizer
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.
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.
getCount(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency
Returns the number of values = v.
getCount(int) - Method in class org.apache.commons.math3.stat.Frequency
Returns the number of values = v.
getCount(long) - Method in class org.apache.commons.math3.stat.Frequency
Returns the number of values = v.
getCount(char) - Method in class org.apache.commons.math3.stat.Frequency
Returns the number of values = v.
getCount() - Method in class org.apache.commons.math3.util.Incrementor
Gets the current count.
getCount(int...) - Method in class org.apache.commons.math3.util.MultidimensionalCounter
Convert to unidimensional counter.
getCount() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
Get the current unidimensional counter slot.
getCount(int) - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
Get the current count in the selected dimension.
getCounts(int) - Method in class org.apache.commons.math3.util.MultidimensionalCounter
Convert to multidimensional counter.
getCounts() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
Get the current multidimensional counter slots.
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.
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.
getCovarianceMatrix() - Method in class org.apache.commons.math3.stat.correlation.Covariance
Returns the covariance matrix
getCovarianceMatrix() - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
Returns the covariance matrix
getCovarianceOfParameters(int, int) - Method in class org.apache.commons.math3.stat.regression.RegressionResults
Returns the covariance between regression parameters i and j.
getCovariances() - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
Gets the covariance matrix.
getCovariances() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
Deprecated. As of 3.1. Please use AbstractLeastSquaresOptimizer.computeCovariances(double[],double) instead.
getCovariances(double) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
Deprecated. As of 3.1. Please use AbstractLeastSquaresOptimizer.computeCovariances(double[],double) instead.
getCrossoverPoints() - Method in class org.apache.commons.math3.genetics.NPointCrossover
Returns the number of crossover points used by this CrossoverPolicy.
getCrossoverPolicy() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
Returns the crossover policy.
getCrossoverRate() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
Returns the crossover rate.
getCumFreq(Comparable<?>) - 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(char) - Method in class org.apache.commons.math3.stat.Frequency
Returns the cumulative frequency of values less than or equal to v.
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).
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(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).
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.AbstractIntegrator
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.
getCurrentStepStart() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
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.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.
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.
getDefaultNumberFormat() - 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.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.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.
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.
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
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.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 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.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
Deprecated. 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
Deprecated. 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 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.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.
getDirection() - Method in exception org.apache.commons.math3.exception.NonMonotonicSequenceException
 
getDirection() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
Get the normalized direction vector.
getDistance(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Distance between two vectors.
getDistance(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Deprecated. Optimized method to compute distance.
getDistance(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Deprecated. 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.
getE() - Method in class org.apache.commons.math3.dfp.DfpField
Get the constant e.
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
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
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.cl