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A

ABOVE_SIDE - org.hipparchus.analysis.solvers.AllowedSolution
Only solutions for which values are greater than or equal to zero are acceptable as solutions for root-finding.
abs() - Method in class org.hipparchus.analysis.differentiation.DerivativeStructure
absolute value.
abs() - Method in class org.hipparchus.analysis.differentiation.FieldDerivativeStructure
absolute value.
abs() - Method in class org.hipparchus.analysis.differentiation.SparseGradient
absolute value.
abs() - Method in class org.hipparchus.complex.Complex
Return the absolute value of this complex number.
abs() - Method in class org.hipparchus.dfp.Dfp
Get the absolute value of instance.
abs() - Method in class org.hipparchus.fraction.BigFraction
Returns the absolute value of this BigFraction.
abs() - Method in class org.hipparchus.fraction.Fraction
Returns the absolute value of this fraction.
abs() - Method in interface org.hipparchus.RealFieldElement
absolute value.
abs() - Method in class org.hipparchus.util.Decimal64
absolute value.
abs() - Method in class org.hipparchus.util.FieldTuple
absolute value.
abs() - Method in class org.hipparchus.util.Tuple
absolute value.
abs(double) - Static method in class org.hipparchus.util.FastMath
Absolute value.
abs(float) - Static method in class org.hipparchus.util.FastMath
Absolute value.
abs(int) - Static method in class org.hipparchus.util.FastMath
Absolute value.
abs(long) - Static method in class org.hipparchus.util.FastMath
Absolute value.
abs(T) - Static method in class org.hipparchus.util.FastMath
Absolute value.
Abs - Class in org.hipparchus.analysis.function
Absolute value function.
Abs() - Constructor for class org.hipparchus.analysis.function.Abs
 
AbstractConvergenceChecker<P> - Class in org.hipparchus.optim
Base class for all convergence checker implementations.
AbstractConvergenceChecker(double, double) - Constructor for class org.hipparchus.optim.AbstractConvergenceChecker
Build an instance with a specified thresholds.
AbstractCurveFitter - Class in org.hipparchus.fitting
Base class that contains common code for fitting parametric univariate real functions y = f(pi;x), where x is the independent variable and the pi are the parameters.
AbstractCurveFitter() - Constructor for class org.hipparchus.fitting.AbstractCurveFitter
 
AbstractCurveFitter.TheoreticalValuesFunction - Class in org.hipparchus.fitting
Vector function for computing function theoretical values.
AbstractEvaluation - Class in org.hipparchus.optim.nonlinear.vector.leastsquares
An implementation of LeastSquaresProblem.Evaluation that is designed for extension.
AbstractFieldIntegrator<T extends RealFieldElement<T>> - Class in org.hipparchus.ode
Base class managing common boilerplate for all integrators.
AbstractFieldIntegrator(Field<T>, String) - Constructor for class org.hipparchus.ode.AbstractFieldIntegrator
Build an instance.
AbstractFieldMatrix<T extends FieldElement<T>> - Class in org.hipparchus.linear
Basic implementation of FieldMatrix methods regardless of the underlying storage.
AbstractFieldMatrix() - Constructor for class org.hipparchus.linear.AbstractFieldMatrix
Constructor for use with Serializable
AbstractFieldMatrix(Field<T>) - Constructor for class org.hipparchus.linear.AbstractFieldMatrix
Creates a matrix with no data
AbstractFieldMatrix(Field<T>, int, int) - Constructor for class org.hipparchus.linear.AbstractFieldMatrix
Create a new FieldMatrix with the supplied row and column dimensions.
AbstractFieldODEStateInterpolator<T extends RealFieldElement<T>> - Class in org.hipparchus.ode.sampling
This abstract class represents an interpolator over the last step during an ODE integration.
AbstractFieldODEStateInterpolator(boolean, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Constructor for class org.hipparchus.ode.sampling.AbstractFieldODEStateInterpolator
Simple constructor.
AbstractIntegerDistribution - Class in org.hipparchus.distribution.discrete
Base class for integer-valued discrete distributions.
AbstractIntegerDistribution() - Constructor for class org.hipparchus.distribution.discrete.AbstractIntegerDistribution
 
AbstractIntegrator - Class in org.hipparchus.ode
Base class managing common boilerplate for all integrators.
AbstractIntegrator(String) - Constructor for class org.hipparchus.ode.AbstractIntegrator
Build an instance.
AbstractKalmanFilter<T extends Measurement> - Class in org.hipparchus.filtering.kalman
Shared parts between linear and non-linear Kalman filters.
AbstractKalmanFilter(MatrixDecomposer, ProcessEstimate) - Constructor for class org.hipparchus.filtering.kalman.AbstractKalmanFilter
Simple constructor.
AbstractMultipleLinearRegression - Class in org.hipparchus.stat.regression
Abstract base class for implementations of MultipleLinearRegression.
AbstractMultipleLinearRegression() - Constructor for class org.hipparchus.stat.regression.AbstractMultipleLinearRegression
 
AbstractMultivariateRealDistribution - Class in org.hipparchus.distribution.multivariate
Base class for multivariate probability distributions.
AbstractMultivariateRealDistribution(RandomGenerator, int) - Constructor for class org.hipparchus.distribution.multivariate.AbstractMultivariateRealDistribution
 
AbstractODEStateInterpolator - Class in org.hipparchus.ode.sampling
This abstract class represents an interpolator over the last step during an ODE integration.
AbstractODEStateInterpolator(boolean, ODEStateAndDerivative, ODEStateAndDerivative, ODEStateAndDerivative, ODEStateAndDerivative, EquationsMapper) - Constructor for class org.hipparchus.ode.sampling.AbstractODEStateInterpolator
Simple constructor.
AbstractOptimizationProblem<P> - Class in org.hipparchus.optim
Base class for implementing optimization problems.
AbstractOptimizationProblem(int, int, ConvergenceChecker<P>) - Constructor for class org.hipparchus.optim.AbstractOptimizationProblem
Create an AbstractOptimizationProblem from the given data.
AbstractParameterizable - Class in org.hipparchus.ode
This abstract class provides boilerplate parameters list.
AbstractParameterizable(String...) - Constructor for class org.hipparchus.ode.AbstractParameterizable
Simple constructor.
AbstractParameterizable(Collection<String>) - Constructor for class org.hipparchus.ode.AbstractParameterizable
Simple constructor.
AbstractPolynomialSolver - Class in org.hipparchus.analysis.solvers
Base class for solvers.
AbstractPolynomialSolver(double) - Constructor for class org.hipparchus.analysis.solvers.AbstractPolynomialSolver
Construct a solver with given absolute accuracy.
AbstractPolynomialSolver(double, double) - Constructor for class org.hipparchus.analysis.solvers.AbstractPolynomialSolver
Construct a solver with given accuracies.
AbstractPolynomialSolver(double, double, double) - Constructor for class org.hipparchus.analysis.solvers.AbstractPolynomialSolver
Construct a solver with given accuracies.
AbstractRealDistribution - Class in org.hipparchus.distribution.continuous
Base class for probability distributions on the reals.
AbstractRealDistribution() - Constructor for class org.hipparchus.distribution.continuous.AbstractRealDistribution
Create a real distribution with default solver absolute accuracy.
AbstractRealDistribution(double) - Constructor for class org.hipparchus.distribution.continuous.AbstractRealDistribution
 
AbstractRealMatrix - Class in org.hipparchus.linear
Basic implementation of RealMatrix methods regardless of the underlying storage.
AbstractRealMatrix() - Constructor for class org.hipparchus.linear.AbstractRealMatrix
Creates a matrix with no data
AbstractRealMatrix(int, int) - Constructor for class org.hipparchus.linear.AbstractRealMatrix
Create a new RealMatrix with the supplied row and column dimensions.
AbstractRegion<S extends Space,​T extends Space> - Class in org.hipparchus.geometry.partitioning
Abstract class for all regions, independently of geometry type or dimension.
AbstractRegion(double) - Constructor for class org.hipparchus.geometry.partitioning.AbstractRegion
Build a region representing the whole space.
AbstractRegion(Collection<SubHyperplane<S>>, double) - Constructor for class org.hipparchus.geometry.partitioning.AbstractRegion
Build a Region from a Boundary REPresentation (B-rep).
AbstractRegion(BSPTree<S>, double) - Constructor for class org.hipparchus.geometry.partitioning.AbstractRegion
Build a region from an inside/outside BSP tree.
AbstractRegion(Hyperplane<S>[], double) - Constructor for class org.hipparchus.geometry.partitioning.AbstractRegion
Build a convex region from an array of bounding hyperplanes.
AbstractSimplex - Class in org.hipparchus.optim.nonlinear.scalar.noderiv
This class implements the simplex concept.
AbstractSimplex(double[]) - Constructor for class org.hipparchus.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.hipparchus.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(int) - Constructor for class org.hipparchus.optim.nonlinear.scalar.noderiv.AbstractSimplex
Build a unit hypercube simplex.
AbstractSimplex(int, double) - Constructor for class org.hipparchus.optim.nonlinear.scalar.noderiv.AbstractSimplex
Build a hypercube simplex with the given side length.
AbstractStorelessUnivariateStatistic - Class in org.hipparchus.stat.descriptive
Abstract base class for implementations of the StorelessUnivariateStatistic interface.
AbstractStorelessUnivariateStatistic() - Constructor for class org.hipparchus.stat.descriptive.AbstractStorelessUnivariateStatistic
 
AbstractSubHyperplane<S extends Space,​T extends Space> - Class in org.hipparchus.geometry.partitioning
This class implements the dimension-independent parts of SubHyperplane.
AbstractSubHyperplane(Hyperplane<S>, Region<T>) - Constructor for class org.hipparchus.geometry.partitioning.AbstractSubHyperplane
Build a sub-hyperplane from an hyperplane and a region.
AbstractUnivariateDifferentiableSolver - Class in org.hipparchus.analysis.solvers
Provide a default implementation for several functions useful to generic solvers.
AbstractUnivariateDifferentiableSolver(double) - Constructor for class org.hipparchus.analysis.solvers.AbstractUnivariateDifferentiableSolver
Construct a solver with given absolute accuracy.
AbstractUnivariateDifferentiableSolver(double, double, double) - Constructor for class org.hipparchus.analysis.solvers.AbstractUnivariateDifferentiableSolver
Construct a solver with given accuracies.
AbstractUnivariateSolver - Class in org.hipparchus.analysis.solvers
Base class for solvers.
AbstractUnivariateSolver(double) - Constructor for class org.hipparchus.analysis.solvers.AbstractUnivariateSolver
Construct a solver with given absolute accuracy.
AbstractUnivariateSolver(double, double) - Constructor for class org.hipparchus.analysis.solvers.AbstractUnivariateSolver
Construct a solver with given accuracies.
AbstractUnivariateSolver(double, double, double) - Constructor for class org.hipparchus.analysis.solvers.AbstractUnivariateSolver
Construct a solver with given accuracies.
AbstractUnivariateStatistic - Class in org.hipparchus.stat.descriptive
Abstract base class for implementations of the UnivariateStatistic interface.
AbstractUnivariateStatistic() - Constructor for class org.hipparchus.stat.descriptive.AbstractUnivariateStatistic
Default constructor.
AbstractUnivariateStatistic(AbstractUnivariateStatistic) - Constructor for class org.hipparchus.stat.descriptive.AbstractUnivariateStatistic
Copy constructor, creates an identical copy of the original.
AbstractWell - Class in org.hipparchus.random
This abstract class implements the WELL class of pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
AbstractWell(int) - Constructor for class org.hipparchus.random.AbstractWell
Creates a new random number generator.
AbstractWell(int, int) - Constructor for class org.hipparchus.random.AbstractWell
Creates a new random number generator using a single int seed.
AbstractWell(int, int[]) - Constructor for class org.hipparchus.random.AbstractWell
Creates a new random number generator using an int array seed.
AbstractWell(int, long) - Constructor for class org.hipparchus.random.AbstractWell
Creates a new random number generator using a single long seed.
AbstractWell.IndexTable - Class in org.hipparchus.random
Inner class used to store the indirection index table which is fixed for a given type of WELL class of pseudo-random number generator.
accept(double) - Method in class org.hipparchus.stat.descriptive.DescriptiveStatistics
accept(double) - Method in interface org.hipparchus.stat.descriptive.StorelessUnivariateStatistic
accept(double) - Method in class org.hipparchus.stat.descriptive.StreamingStatistics
acceptStep(AbstractFieldODEStateInterpolator<T>, T) - Method in class org.hipparchus.ode.AbstractFieldIntegrator
Accept a step, triggering events and step handlers.
acceptStep(AbstractODEStateInterpolator, double) - Method in class org.hipparchus.ode.AbstractIntegrator
Accept a step, triggering events and step handlers.
acos() - Method in class org.hipparchus.analysis.differentiation.DerivativeStructure
Arc cosine operation.
acos() - Method in class org.hipparchus.analysis.differentiation.FieldDerivativeStructure
Arc cosine operation.
acos() - Method in class org.hipparchus.analysis.differentiation.SparseGradient
Arc cosine operation.
acos() - Method in class org.hipparchus.complex.Complex
Compute the inverse cosine of this complex number.
acos() - Method in class org.hipparchus.dfp.Dfp
Arc cosine operation.
acos() - Method in interface org.hipparchus.RealFieldElement
Arc cosine operation.
acos() - Method in class org.hipparchus.util.Decimal64
Arc cosine operation.
acos() - Method in class org.hipparchus.util.FieldTuple
Arc cosine operation.
acos() - Method in class org.hipparchus.util.Tuple
Arc cosine operation.
acos(double) - Static method in class org.hipparchus.util.FastMath
Compute the arc cosine of a number.
acos(double[], int, double[], int) - Method in class org.hipparchus.analysis.differentiation.DSCompiler
Compute arc cosine of a derivative structure.
acos(Dfp) - Static method in class org.hipparchus.dfp.DfpMath
computes the arc-cosine of the argument.
acos(T) - Static method in class org.hipparchus.util.FastMath
Compute the arc cosine of a number.
acos(T[], int, T[], int) - Method in class org.hipparchus.analysis.differentiation.DSCompiler
Compute arc cosine of a derivative structure.
Acos - Class in org.hipparchus.analysis.function
Arc-cosine function.
Acos() - Constructor for class org.hipparchus.analysis.function.Acos
 
acosh() - Method in class org.hipparchus.analysis.differentiation.DerivativeStructure
Inverse hyperbolic cosine operation.
acosh() - Method in class org.hipparchus.analysis.differentiation.FieldDerivativeStructure
Inverse hyperbolic cosine operation.
acosh() - Method in class org.hipparchus.analysis.differentiation.SparseGradient
Inverse hyperbolic cosine operation.
acosh() - Method in class org.hipparchus.dfp.Dfp
Inverse hyperbolic cosine operation.
acosh() - Method in interface org.hipparchus.RealFieldElement
Inverse hyperbolic cosine operation.
acosh() - Method in class org.hipparchus.util.Decimal64
Inverse hyperbolic cosine operation.
acosh() - Method in class org.hipparchus.util.FieldTuple
Inverse hyperbolic cosine operation.
acosh() - Method in class org.hipparchus.util.Tuple
Inverse hyperbolic cosine operation.
acosh(double) - Static method in class org.hipparchus.util.FastMath
Compute the inverse hyperbolic cosine of a number.
acosh(double[], int, double[], int) - Method in class org.hipparchus.analysis.differentiation.DSCompiler
Compute inverse hyperbolic cosine of a derivative structure.
acosh(T) - Static method in class org.hipparchus.util.FastMath
Compute the inverse hyperbolic cosine of a number.
acosh(T[], int, T[], int) - Method in class org.hipparchus.analysis.differentiation.DSCompiler
Compute inverse hyperbolic cosine of a derivative structure.
Acosh - Class in org.hipparchus.analysis.function
Hyperbolic arc-cosine function.
Acosh() - Constructor for class org.hipparchus.analysis.function.Acosh
 
Action - Enum in org.hipparchus.ode.events
Enumerate for actions to be performed when an event occurs during ODE integration.
AdamsBashforthFieldIntegrator<T extends RealFieldElement<T>> - Class in org.hipparchus.ode.nonstiff
This class implements explicit Adams-Bashforth integrators for Ordinary Differential Equations.
AdamsBashforthFieldIntegrator(Field<T>, int, double, double, double[], double[]) - Constructor for class org.hipparchus.ode.nonstiff.AdamsBashforthFieldIntegrator
Build an Adams-Bashforth integrator with the given order and step control parameters.
AdamsBashforthFieldIntegrator(Field<T>, int, double, double, double, double) - Constructor for class org.hipparchus.ode.nonstiff.AdamsBashforthFieldIntegrator
Build an Adams-Bashforth integrator with the given order and step control parameters.
AdamsBashforthIntegrator - Class in org.hipparchus.ode.nonstiff
This class implements explicit Adams-Bashforth integrators for Ordinary Differential Equations.
AdamsBashforthIntegrator(int, double, double, double[], double[]) - Constructor for class org.hipparchus.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.hipparchus.ode.nonstiff.AdamsBashforthIntegrator
Build an Adams-Bashforth integrator with the given order and step control parameters.
AdamsFieldIntegrator<T extends RealFieldElement<T>> - Class in org.hipparchus.ode.nonstiff
Base class for Adams-Bashforth and Adams-Moulton integrators.
AdamsFieldIntegrator(Field<T>, String, int, int, double, double, double[], double[]) - Constructor for class org.hipparchus.ode.nonstiff.AdamsFieldIntegrator
Build an Adams integrator with the given order and step control parameters.
AdamsFieldIntegrator(Field<T>, String, int, int, double, double, double, double) - Constructor for class org.hipparchus.ode.nonstiff.AdamsFieldIntegrator
Build an Adams integrator with the given order and step control parameters.
AdamsIntegrator - Class in org.hipparchus.ode.nonstiff
Base class for Adams-Bashforth and Adams-Moulton integrators.
AdamsIntegrator(String, int, int, double, double, double[], double[]) - Constructor for class org.hipparchus.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.hipparchus.ode.nonstiff.AdamsIntegrator
Build an Adams integrator with the given order and step control parameters.
AdamsMoultonFieldIntegrator<T extends RealFieldElement<T>> - Class in org.hipparchus.ode.nonstiff
This class implements implicit Adams-Moulton integrators for Ordinary Differential Equations.
AdamsMoultonFieldIntegrator(Field<T>, int, double, double, double[], double[]) - Constructor for class org.hipparchus.ode.nonstiff.AdamsMoultonFieldIntegrator
Build an Adams-Moulton integrator with the given order and error control parameters.
AdamsMoultonFieldIntegrator(Field<T>, int, double, double, double, double) - Constructor for class org.hipparchus.ode.nonstiff.AdamsMoultonFieldIntegrator
Build an Adams-Moulton integrator with the given order and error control parameters.
AdamsMoultonIntegrator - Class in org.hipparchus.ode.nonstiff
This class implements implicit Adams-Moulton integrators for Ordinary Differential Equations.
AdamsMoultonIntegrator(int, double, double, double[], double[]) - Constructor for class org.hipparchus.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.hipparchus.ode.nonstiff.AdamsMoultonIntegrator
Build an Adams-Moulton integrator with the given order and error control parameters.
AdamsNordsieckFieldTransformer<T extends RealFieldElement<T>> - Class in org.hipparchus.ode.nonstiff
Transformer to Nordsieck vectors for Adams integrators.
AdamsNordsieckTransformer - Class in org.hipparchus.ode.nonstiff
Transformer to Nordsieck vectors for Adams integrators.
AdaptiveStepsizeFieldIntegrator<T extends RealFieldElement<T>> - Class in org.hipparchus.ode.nonstiff
This abstract class holds the common part of all adaptive stepsize integrators for Ordinary Differential Equations.
AdaptiveStepsizeFieldIntegrator(Field<T>, String, double, double, double[], double[]) - Constructor for class org.hipparchus.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
Build an integrator with the given stepsize bounds.
AdaptiveStepsizeFieldIntegrator(Field<T>, String, double, double, double, double) - Constructor for class org.hipparchus.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
Build an integrator with the given stepsize bounds.
AdaptiveStepsizeIntegrator - Class in org.hipparchus.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.hipparchus.ode.nonstiff.AdaptiveStepsizeIntegrator
Build an integrator with the given stepsize bounds.
AdaptiveStepsizeIntegrator(String, double, double, double, double) - Constructor for class org.hipparchus.ode.nonstiff.AdaptiveStepsizeIntegrator
Build an integrator with the given stepsize bounds.
add(double) - Method in class org.hipparchus.analysis.differentiation.DerivativeStructure
'+' operator.
add(double) - Method in class org.hipparchus.analysis.differentiation.FieldDerivativeStructure
'+' operator.
add(double) - Method in class org.hipparchus.analysis.differentiation.SparseGradient
'+' operator.
add(double) - Method in class org.hipparchus.complex.Complex
Returns a Complex whose value is (this + addend), with addend interpreted as a real number.
add(double) - Method in class org.hipparchus.dfp.Dfp
'+' operator.
add(double) - Method in interface org.hipparchus.RealFieldElement
'+' operator.
add(double) - Method in class org.hipparchus.util.Decimal64
'+' operator.
add(double) - Method in class org.hipparchus.util.FieldTuple
'+' operator.
add(double) - Method in class org.hipparchus.util.Tuple
'+' operator.
add(double[], boolean) - Method in class org.hipparchus.analysis.interpolation.InterpolatingMicrosphere
Replace i-th facet of the microsphere.
add(double[], int, double[], int, double[], int) - Method in class org.hipparchus.analysis.differentiation.DSCompiler
Perform addition of two derivative structures.
add(double, double) - Method in class org.hipparchus.fitting.WeightedObservedPoints
Adds a point to the sample.
add(double, double, double) - Method in class org.hipparchus.fitting.WeightedObservedPoints
Adds a point to the sample.
add(double, FieldVector3D<T>) - Method in class org.hipparchus.geometry.euclidean.threed.FieldVector3D
Add a scaled vector to the instance.
add(double, Vector3D) - Method in class org.hipparchus.geometry.euclidean.threed.FieldVector3D
Add a scaled vector to the instance.
add(double, Vector<Euclidean1D>) - Method in class org.hipparchus.geometry.euclidean.oned.Vector1D
Add a scaled vector to the instance.
add(double, Vector<Euclidean3D>) - Method in class org.hipparchus.geometry.euclidean.threed.Vector3D
Add a scaled vector to the instance.
add(double, Vector<Euclidean2D>) - Method in class org.hipparchus.geometry.euclidean.twod.Vector2D
Add a scaled vector to the instance.
add(double, Vector<S>) - Method in interface org.hipparchus.geometry.Vector
Add a scaled vector to the instance.
add(int) - Method in class org.hipparchus.fraction.BigFraction
Adds the value of this fraction to the passed integer, returning the result in reduced form.
add(int) - Method in class org.hipparchus.fraction.Fraction
Add an integer to the fraction.
add(long) - Method in class org.hipparchus.fraction.BigFraction
Adds the value of this fraction to the passed long, returning the result in reduced form.
add(BigInteger) - Method in class org.hipparchus.fraction.BigFraction
Adds the value of this fraction to the passed BigInteger, returning the result in reduced form.
add(DerivativeStructure) - Method in class org.hipparchus.analysis.differentiation.DerivativeStructure
Compute this + a.
add(FieldDerivativeStructure<T>) - Method in class org.hipparchus.analysis.differentiation.FieldDerivativeStructure
Compute this + a.
add(SparseGradient) - Method in class org.hipparchus.analysis.differentiation.SparseGradient
Compute this + a.
add(UnivariateDifferentiableFunction...) - Static method in class org.hipparchus.analysis.FunctionUtils
Adds functions.
add(PolynomialFunction) - Method in class org.hipparchus.analysis.polynomials.PolynomialFunction
Add a polynomial to the instance.
add(UnivariateFunction...) - Static method in class org.hipparchus.analysis.FunctionUtils
Adds functions.
add(Complex) - Method in class org.hipparchus.complex.Complex
Returns a Complex whose value is (this + addend).
add(Quaternion) - Method in class org.hipparchus.complex.Quaternion
Computes the sum of the instance and another quaternion.
add(Quaternion, Quaternion) - Static method in class org.hipparchus.complex.Quaternion
Computes the sum of two quaternions.
add(Dfp) - Method in class org.hipparchus.dfp.Dfp
Add x to this.
add(WeightedObservedPoint) - Method in class org.hipparchus.fitting.WeightedObservedPoints
Adds a point to the sample.
add(BigFraction) - Method in class org.hipparchus.fraction.BigFraction
Adds the value of this fraction to another, returning the result in reduced form.
add(Fraction) - Method in class org.hipparchus.fraction.Fraction
Adds the value of this fraction to another, returning the result in reduced form.
add(FieldVector3D<T>) - Method in class org.hipparchus.geometry.euclidean.threed.FieldVector3D
Add a vector to the instance.
add(Vector3D) - Method in class org.hipparchus.geometry.euclidean.threed.FieldVector3D
Add a vector to the instance.
add(BSPTree<S>) - Method in class org.hipparchus.geometry.partitioning.NodesSet
Add a node if not already known.
add(Vector<Euclidean1D>) - Method in class org.hipparchus.geometry.euclidean.oned.Vector1D
Add a vector to the instance.
add(Vector<Euclidean3D>) - Method in class org.hipparchus.geometry.euclidean.threed.Vector3D
Add a vector to the instance.
add(Vector<Euclidean2D>) - Method in class org.hipparchus.geometry.euclidean.twod.Vector2D
Add a vector to the instance.
add(Vector<S>) - Method in interface org.hipparchus.geometry.Vector
Add a vector to the instance.
add(Array2DRowFieldMatrix<T>) - Method in class org.hipparchus.linear.Array2DRowFieldMatrix
Add m to this matrix.
add(Array2DRowRealMatrix) - Method in class org.hipparchus.linear.Array2DRowRealMatrix
Compute the sum of this and m.
add(ArrayFieldVector<T>) - Method in class org.hipparchus.linear.ArrayFieldVector
Compute the sum of this and v.
add(BlockFieldMatrix<T>) - Method in class org.hipparchus.linear.BlockFieldMatrix
Compute the sum of this and m.
add(BlockRealMatrix) - Method in class org.hipparchus.linear.BlockRealMatrix
Compute the sum of this matrix and m.
add(DiagonalMatrix) - Method in class org.hipparchus.linear.DiagonalMatrix
Compute the sum of this and m.
add(FieldMatrix<T>) - Method in class org.hipparchus.linear.AbstractFieldMatrix
Compute the sum of this and m.
add(FieldMatrix<T>) - Method in class org.hipparchus.linear.BlockFieldMatrix
Compute the sum of this and m.
add(FieldMatrix<T>) - Method in interface org.hipparchus.linear.FieldMatrix
Compute the sum of this and m.
add(FieldVector<T>) - Method in class org.hipparchus.linear.ArrayFieldVector
Compute the sum of this and v.
add(FieldVector<T>) - Method in interface org.hipparchus.linear.FieldVector
Compute the sum of this and v.
add(FieldVector<T>) - Method in class org.hipparchus.linear.SparseFieldVector
Compute the sum of this and v.
add(OpenMapRealMatrix) - Method in class org.hipparchus.linear.OpenMapRealMatrix
Compute the sum of this matrix and m.
add(OpenMapRealVector) - Method in class org.hipparchus.linear.OpenMapRealVector
Optimized method to add two OpenMapRealVectors.
add(RealMatrix) - Method in class org.hipparchus.linear.AbstractRealMatrix
Returns the sum of this and m.
add(RealMatrix) - Method in class org.hipparchus.linear.BlockRealMatrix
Returns the sum of this and m.
add(RealMatrix) - Method in interface org.hipparchus.linear.RealMatrix
Returns the sum of this and m.
add(RealVector) - Method in class org.hipparchus.linear.ArrayRealVector
Compute the sum of this vector and v.
add(RealVector) - Method in class org.hipparchus.linear.OpenMapRealVector
Compute the sum of this vector and v.
add(RealVector) - Method in class org.hipparchus.linear.RealVector
Compute the sum of this vector and v.
add(SparseFieldVector<T>) - Method in class org.hipparchus.linear.SparseFieldVector
Optimized method to add sparse vectors.
add(BigReal) - Method in class org.hipparchus.util.BigReal
Compute this + a.
add(Decimal64) - Method in class org.hipparchus.util.Decimal64
Compute this + a.
add(FieldTuple<T>) - Method in class org.hipparchus.util.FieldTuple
Compute this + a.
add(Tuple) - Method in class org.hipparchus.util.Tuple
Compute this + a.
add(T) - Method in class org.hipparchus.analysis.differentiation.FieldDerivativeStructure
'+' operator.
add(T) - Method in interface org.hipparchus.FieldElement
Compute this + a.
add(T[], int, T[], int, T[], int) - Method in class org.hipparchus.analysis.differentiation.DSCompiler
Perform addition of two derivative structures.
add(T, FieldVector3D<T>) - Method in class org.hipparchus.geometry.euclidean.threed.FieldVector3D
Add a scaled vector to the instance.
add(T, Vector3D) - Method in class org.hipparchus.geometry.euclidean.threed.FieldVector3D
Add a scaled vector to the instance.
Add - Class in org.hipparchus.analysis.function
Add the two operands.
Add() - Constructor for class org.hipparchus.analysis.function.Add
 
addAll(Iterable<BSPTree<S>>) - Method in class org.hipparchus.geometry.partitioning.NodesSet
Add nodes if they are not already known.
addAndCheck(int, int) - Static method in class org.hipparchus.util.ArithmeticUtils
Add two integers, checking for overflow.
addAndCheck(long, long) - Static method in class org.hipparchus.util.ArithmeticUtils
Add two long integers, checking for overflow.
addCDFSeries(Chart, IntegerDistribution, String, int, int) - Static method in class org.hipparchus.samples.IntegerDistributionComparison
 
addCDFSeries(Chart, RealDistribution, String, int, int) - Static method in class org.hipparchus.samples.RealDistributionComparison
 
addData(double[][]) - Method in class org.hipparchus.stat.regression.SimpleRegression
Adds the observations represented by the elements in data.
addData(double, double) - Method in class org.hipparchus.stat.regression.SimpleRegression
Adds the observation (x,y) to the regression data set.
addElement(double) - Method in class org.hipparchus.util.ResizableDoubleArray
Adds an element to the end of this expandable array.
addElementRolling(double) - Method in class org.hipparchus.util.ResizableDoubleArray
Adds an element to the end of the array and removes the first element in the array.
addElements(double[]) - Method in class org.hipparchus.util.ResizableDoubleArray
Adds several element to the end of this expandable array.
addEventHandler(FieldODEEventHandler<T>, double, double, int) - Method in class org.hipparchus.ode.AbstractFieldIntegrator
Add an event handler to the integrator.
addEventHandler(FieldODEEventHandler<T>, double, double, int) - Method in interface org.hipparchus.ode.FieldODEIntegrator
Add an event handler to the integrator.
addEventHandler(FieldODEEventHandler<T>, double, double, int, BracketedRealFieldUnivariateSolver<T>) - Method in class org.hipparchus.ode.AbstractFieldIntegrator
Add an event handler to the integrator.
addEventHandler(FieldODEEventHandler<T>, double, double, int, BracketedRealFieldUnivariateSolver<T>) - Method in interface org.hipparchus.ode.FieldODEIntegrator
Add an event handler to the integrator.
addEventHandler(ODEEventHandler, double, double, int) - Method in class org.hipparchus.ode.AbstractIntegrator
Add an event handler to the integrator.
addEventHandler(ODEEventHandler, double, double, int) - Method in interface org.hipparchus.ode.ODEIntegrator
Add an event handler to the integrator.
addEventHandler(ODEEventHandler, double, double, int, BracketedUnivariateSolver<UnivariateFunction>) - Method in class org.hipparchus.ode.AbstractIntegrator
Add an event handler to the integrator.
addEventHandler(ODEEventHandler, double, double, int, BracketedUnivariateSolver<UnivariateFunction>) - Method in interface org.hipparchus.ode.ODEIntegrator
Add an event handler to the integrator.
addExact(int, int) - Static method in class org.hipparchus.util.FastMath
Add two numbers, detecting overflows.
addExact(long, long) - Static method in class org.hipparchus.util.FastMath
Add two numbers, detecting overflows.
addInPlace(SparseGradient) - Method in class org.hipparchus.analysis.differentiation.SparseGradient
Add in place.
addIterationListener(IterationListener) - Method in class org.hipparchus.util.IterationManager
Attaches a listener to this manager.
ADDITIVE - org.hipparchus.util.ResizableDoubleArray.ExpansionMode
Additive expansion mode.
addObservation(double[], double) - Method in class org.hipparchus.stat.regression.MillerUpdatingRegression
Adds an observation to the regression model.
addObservation(double[], double) - Method in class org.hipparchus.stat.regression.SimpleRegression
Adds one observation to the regression model.
addObservation(double[], double) - Method in interface org.hipparchus.stat.regression.UpdatingMultipleLinearRegression
Adds one observation to the regression model.
addObservations(double[][], double[]) - Method in class org.hipparchus.stat.regression.MillerUpdatingRegression
Adds multiple observations to the model.
addObservations(double[][], double[]) - Method in class org.hipparchus.stat.regression.SimpleRegression
Adds a series of observations to the regression model.
addObservations(double[][], double[]) - Method in interface org.hipparchus.stat.regression.UpdatingMultipleLinearRegression
Adds a series of observations to the regression model.
addParameterJacobianProvider(NamedParameterJacobianProvider) - Method in class org.hipparchus.migration.ode.JacobianMatrices
Deprecated.
Add a parameter Jacobian provider.
addPDFSeries(Chart, IntegerDistribution, String, int, int) - Static method in class org.hipparchus.samples.IntegerDistributionComparison
 
addPDFSeries(Chart, RealDistribution, String, int, int) - Static method in class org.hipparchus.samples.RealDistributionComparison
 
addPoint(T) - Method in class org.hipparchus.clustering.Cluster
Add a point to this cluster.
addRule(Pair<T[], T[]>) - Method in class org.hipparchus.analysis.integration.gauss.BaseRuleFactory
Stores a rule.
addSamplePoint(double, double[]...) - Method in class org.hipparchus.analysis.interpolation.HermiteInterpolator
Add a sample point.
addSamplePoint(T, T[]...) - Method in class org.hipparchus.analysis.interpolation.FieldHermiteInterpolator
Add a sample point.
addSecondaryEquations(FieldSecondaryODE<T>) - Method in class org.hipparchus.ode.FieldExpandableODE
Add a set of secondary equations to be integrated along with the primary set.
addSecondaryEquations(SecondaryODE) - Method in class org.hipparchus.ode.ExpandableODE
Add a set of secondary equations to be integrated along with the primary set.
addStepHandler(FieldODEStepHandler<T>) - Method in class org.hipparchus.ode.AbstractFieldIntegrator
Add a step handler to this integrator.
addStepHandler(FieldODEStepHandler<T>) - Method in interface org.hipparchus.ode.FieldODEIntegrator
Add a step handler to this integrator.
addStepHandler(ODEStepHandler) - Method in class org.hipparchus.ode.AbstractIntegrator
Add a step handler to this integrator.
addStepHandler(ODEStepHandler) - Method in interface org.hipparchus.ode.ODEIntegrator
Add a step handler to this integrator.
addToEntry(int, double) - Method in class org.hipparchus.linear.ArrayRealVector
Change an entry at the specified index.
addToEntry(int, double) - Method in class org.hipparchus.linear.RealVector
Change an entry at the specified index.
addToEntry(int, int, double) - Method in class org.hipparchus.linear.AbstractRealMatrix
Adds (in place) the specified value to the specified entry of this matrix.
addToEntry(int, int, double) - Method in class org.hipparchus.linear.Array2DRowRealMatrix
Adds (in place) the specified value to the specified entry of this matrix.
addToEntry(int, int, double) - Method in class org.hipparchus.linear.BlockRealMatrix
Adds (in place) the specified value to the specified entry of this matrix.
addToEntry(int, int, double) - Method in class org.hipparchus.linear.DiagonalMatrix
Adds (in place) the specified value to the specified entry of this matrix.
addToEntry(int, int, double) - Method in class org.hipparchus.linear.OpenMapRealMatrix
Adds (in place) the specified value to the specified entry of this matrix.
addToEntry(int, int, double) - Method in interface org.hipparchus.linear.RealMatrix
Adds (in place) the specified value to the specified entry of this matrix.
addToEntry(int, int, T) - Method in class org.hipparchus.linear.AbstractFieldMatrix
Change an entry in the specified row and column.
addToEntry(int, int, T) - Method in class org.hipparchus.linear.Array2DRowFieldMatrix
Change an entry in the specified row and column.
addToEntry(int, int, T) - Method in class org.hipparchus.linear.BlockFieldMatrix
Change an entry in the specified row and column.
addToEntry(int, int, T) - Method in interface org.hipparchus.linear.FieldMatrix
Change an entry in the specified row and column.
addToEntry(int, int, T) - Method in class org.hipparchus.linear.SparseFieldMatrix
Change an entry in the specified row and column.
addValue(double) - Method in class org.hipparchus.stat.descriptive.DescriptiveStatistics
Adds the value to the dataset.
addValue(double) - Method in class org.hipparchus.stat.descriptive.StreamingStatistics
Add a value to the data
addValue(double[]) - Method in class org.hipparchus.stat.descriptive.MultivariateSummaryStatistics
Add an n-tuple to the data
addValue(int) - Method in class org.hipparchus.stat.LongFrequency
Adds 1 to the frequency count for v.
addValue(T) - Method in class org.hipparchus.stat.Frequency
Adds 1 to the frequency count for v.
advance() - Method in class org.hipparchus.util.OpenIntToDoubleHashMap.Iterator
Advance iterator one step further.
advance() - Method in class org.hipparchus.util.OpenIntToFieldHashMap.Iterator
Advance iterator one step further.
advance(RealVector.Entry) - Method in class org.hipparchus.linear.RealVector.SparseEntryIterator
Advance an entry up to the next nonzero one.
AggregatableStatistic<T> - Interface in org.hipparchus.stat.descriptive
An interface for statistics that can aggregate results.
aggregate(Iterable<? extends StatisticalSummary>) - Static method in interface org.hipparchus.stat.descriptive.StatisticalSummary
Computes aggregated statistical summaries.
aggregate(Iterable<T>) - Method in interface org.hipparchus.stat.descriptive.AggregatableStatistic
Aggregates the results from the provided instances into this instance.
aggregate(GeometricMean) - Method in class org.hipparchus.stat.descriptive.moment.GeometricMean
Aggregates the provided instance into this instance.
aggregate(Mean) - Method in class org.hipparchus.stat.descriptive.moment.Mean
Aggregates the provided instance into this instance.
aggregate(SecondMoment) - Method in class org.hipparchus.stat.descriptive.moment.SecondMoment
Aggregates the provided instance into this instance.
aggregate(Variance) - Method in class org.hipparchus.stat.descriptive.moment.Variance
Aggregates the provided instance into this instance.
aggregate(Max) - Method in class org.hipparchus.stat.descriptive.rank.Max
Aggregates the provided instance into this instance.
aggregate(Min) - Method in class org.hipparchus.stat.descriptive.rank.Min
Aggregates the provided instance into this instance.
aggregate(RandomPercentile) - Method in class org.hipparchus.stat.descriptive.rank.RandomPercentile
Aggregates the provided instance into this instance.
aggregate(StatisticalSummary...) - Static method in interface org.hipparchus.stat.descriptive.StatisticalSummary
Computes aggregated statistical summaries.
aggregate(StreamingStatistics) - Method in class org.hipparchus.stat.descriptive.StreamingStatistics
Aggregates the provided instance into this instance.
aggregate(Product) - Method in class org.hipparchus.stat.descriptive.summary.Product
Aggregates the provided instance into this instance.
aggregate(Sum) - Method in class org.hipparchus.stat.descriptive.summary.Sum
Aggregates the provided instance into this instance.
aggregate(SumOfLogs) - Method in class org.hipparchus.stat.descriptive.summary.SumOfLogs
Aggregates the provided instance into this instance.
aggregate(SumOfSquares) - Method in class org.hipparchus.stat.descriptive.summary.SumOfSquares
Aggregates the provided instance into this instance.
aggregate(T) - Method in interface org.hipparchus.stat.descriptive.AggregatableStatistic
Aggregates the provided instance into this instance.
aggregate(T...) - Method in interface org.hipparchus.stat.descriptive.AggregatableStatistic
Aggregates the results from the provided instances into this instance.
AkimaSplineInterpolator - Class in org.hipparchus.analysis.interpolation
Computes a cubic spline interpolation for the data set using the Akima algorithm, as originally formulated by Hiroshi Akima in his 1970 paper "A New Method of Interpolation and Smooth Curve Fitting Based on Local Procedures." J.
AkimaSplineInterpolator() - Constructor for class org.hipparchus.analysis.interpolation.AkimaSplineInterpolator
 
AklToussaintHeuristic - Class in org.hipparchus.geometry.euclidean.twod.hull
A simple heuristic to improve the performance of convex hull algorithms.
align(int) - Method in class org.hipparchus.dfp.Dfp
Make our exp equal to the supplied one, this may cause rounding.
AllowedSolution - Enum in org.hipparchus.analysis.solvers
The kinds of solutions that a (bracketed univariate real) root-finding algorithm may accept as solutions.
AlternativeHypothesis - Enum in org.hipparchus.stat.inference
Represents an alternative hypothesis for a hypothesis test.
angle(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.hipparchus.geometry.euclidean.threed.FieldVector3D
Compute the angular separation between two vectors.
angle(FieldVector3D<T>, Vector3D) - Static method in class org.hipparchus.geometry.euclidean.threed.FieldVector3D
Compute the angular separation between two vectors.
angle(Vector3D, FieldVector3D<T>) - Static method in class org.hipparchus.geometry.euclidean.threed.FieldVector3D
Compute the angular separation between two vectors.
angle(Vector3D, Vector3D) - Static method in class org.hipparchus.geometry.euclidean.threed.Vector3D
Compute the angular separation between two vectors.
angle(Vector2D, Vector2D) - Static method in class org.hipparchus.geometry.euclidean.twod.Vector2D
Compute the angular separation between two vectors.
anovaFValue(Collection<double[]>) - Method in class org.hipparchus.stat.inference.OneWayAnova
Computes the ANOVA F-value for a collection of double[] arrays.
anovaPValue(Collection<double[]>) - Method in class org.hipparchus.stat.inference.OneWayAnova
Computes the ANOVA P-value for a collection of double[] arrays.
anovaPValue(Collection<StreamingStatistics>, boolean) - Method in class org.hipparchus.stat.inference.OneWayAnova
Computes the ANOVA P-value for a collection of StreamingStatistics.
anovaTest(Collection<double[]>, double) - Method in class org.hipparchus.stat.inference.OneWayAnova
Performs an ANOVA test, evaluating the null hypothesis that there is no difference among the means of the data categories.
antiDerivative() - Method in class org.hipparchus.analysis.polynomials.PolynomialFunction
Returns an anti-derivative of this polynomial, with 0 constant term.
ANY_SIDE - org.hipparchus.analysis.solvers.AllowedSolution
There are no additional side restriction on the solutions for root-finding.
AnyMatrix - Interface in org.hipparchus.linear
Interface defining very basic matrix operations.
append(double) - Method in class org.hipparchus.linear.ArrayRealVector
Construct a new vector by appending a double to this vector.
append(double) - Method in class org.hipparchus.linear.OpenMapRealVector
Construct a new vector by appending a double to this vector.
append(double) - Method in class org.hipparchus.linear.RealVector
Construct a new vector by appending a double to this vector.
append(ArrayFieldVector<T>) - Method in class org.hipparchus.linear.ArrayFieldVector
Construct a vector by appending a vector to this vector.
append(ArrayRealVector) - Method in class org.hipparchus.linear.ArrayRealVector
Construct a vector by appending a vector to this vector.
append(FieldVector<T>) - Method in class org.hipparchus.linear.ArrayFieldVector
Construct a vector by appending a vector to this vector.
append(FieldVector<T>) - Method in interface org.hipparchus.linear.FieldVector
Construct a vector by appending a vector to this vector.
append(FieldVector<T>) - Method in class org.hipparchus.linear.SparseFieldVector
Construct a vector by appending a vector to this vector.
append(OpenMapRealVector) - Method in class org.hipparchus.linear.OpenMapRealVector
Optimized method to append a OpenMapRealVector.
append(RealVector) - Method in class org.hipparchus.linear.ArrayRealVector
Construct a new vector by appending a vector to this vector.
append(RealVector) - Method in class org.hipparchus.linear.OpenMapRealVector
Construct a new vector by appending a vector to this vector.
append(RealVector) - Method in class org.hipparchus.linear.RealVector
Construct a new vector by appending a vector to this vector.
append(SparseFieldVector<T>) - Method in class org.hipparchus.linear.SparseFieldVector
Construct a vector by appending a vector to this vector.
append(DenseOutputModel) - Method in class org.hipparchus.ode.DenseOutputModel
Append another model at the end of the instance.
append(FieldDenseOutputModel<T>) - Method in class org.hipparchus.ode.FieldDenseOutputModel
Append another model at the end of the instance.
append(StorelessCovariance) - Method in class org.hipparchus.stat.correlation.StorelessCovariance
Appends sc to this, effectively aggregating the computations in sc with this.
append(SimpleRegression) - Method in class org.hipparchus.stat.regression.SimpleRegression
Appends data from another regression calculation to this one.
append(T) - Method in class org.hipparchus.linear.ArrayFieldVector
Construct a vector by appending a T to this vector.
append(T) - Method in interface org.hipparchus.linear.FieldVector
Construct a vector by appending a T to this vector.
append(T) - Method in class org.hipparchus.linear.SparseFieldVector
Construct a vector by appending a T to this vector.
apply(Hyperplane<S>) - Method in interface org.hipparchus.geometry.partitioning.Transform
Transform an hyperplane of a space.
apply(SubHyperplane<T>, Hyperplane<S>, Hyperplane<S>) - Method in interface org.hipparchus.geometry.partitioning.Transform
Transform a sub-hyperplane embedded in an hyperplane.
apply(Point<S>) - Method in interface org.hipparchus.geometry.partitioning.Transform
Transform a point of a space.
apply(UnivariateStatistic) - Method in class org.hipparchus.stat.descriptive.DescriptiveStatistics
Apply the given statistic to the data associated with this set of statistics.
applyInverseTo(double[], double[]) - Method in class org.hipparchus.geometry.euclidean.threed.Rotation
Apply the inverse of the rotation to a vector stored in an array.
applyInverseTo(double[], T[]) - Method in class org.hipparchus.geometry.euclidean.threed.FieldRotation
Apply the inverse of the rotation to a vector stored in an array.
applyInverseTo(FieldRotation<T>) - Method in class org.hipparchus.geometry.euclidean.threed.FieldRotation
Apply the inverse of the instance to another rotation.
applyInverseTo(FieldVector3D<T>) - Method in class org.hipparchus.geometry.euclidean.threed.FieldRotation
Apply the inverse of the rotation to a vector.
applyInverseTo(Rotation) - Method in class org.hipparchus.geometry.euclidean.threed.FieldRotation
Apply the inverse of the instance to another rotation.
applyInverseTo(Rotation) - Method in class org.hipparchus.geometry.euclidean.threed.Rotation
Apply the inverse of the instance to another rotation.
applyInverseTo(Rotation, FieldRotation<T>) - Static method in class org.hipparchus.geometry.euclidean.threed.FieldRotation
Apply the inverse of a rotation to another rotation.
applyInverseTo(Rotation, FieldVector3D<T>) - Static method in class org.hipparchus.geometry.euclidean.threed.FieldRotation
Apply the inverse of a rotation to a vector.
applyInverseTo(Vector3D) - Method in class org.hipparchus.geometry.euclidean.threed.FieldRotation
Apply the inverse of the rotation to a vector.
applyInverseTo(Vector3D) - Method in class org.hipparchus.geometry.euclidean.threed.Rotation
Apply the inverse of the rotation to a vector.
applyInverseTo(T[], T[]) - Method in class org.hipparchus.geometry.euclidean.threed.FieldRotation
Apply the inverse of the rotation to a vector stored in an array.
applyTo(double[], double[]) - Method in class org.hipparchus.geometry.euclidean.threed.Rotation
Apply the rotation to a vector stored in an array.
applyTo(double[], T[]) - Method in class org.hipparchus.geometry.euclidean.threed.FieldRotation
Apply the rotation to a vector stored in an array.
applyTo(FieldRotation<T>) - Method in class org.hipparchus.geometry.euclidean.threed.FieldRotation
Apply the instance to another rotation.
applyTo(FieldVector3D<T>) - Method in class org.hipparchus.geometry.euclidean.threed.FieldRotation
Apply the rotation to a vector.
applyTo(Rotation) - Method in class org.hipparchus.geometry.euclidean.threed.FieldRotation
Apply the instance to another rotation.
applyTo(Rotation) - Method in class org.hipparchus.geometry.euclidean.threed.Rotation
Apply the instance to another rotation.
applyTo(Rotation, FieldRotation<T>) - Static method in class org.hipparchus.geometry.euclidean.threed.FieldRotation
Apply a rotation to another rotation.
applyTo(Rotation, FieldVector3D<T>) - Static method in class org.hipparchus.geometry.euclidean.threed.FieldRotation
Apply a rotation to a vector.
applyTo(Vector3D) - Method in class org.hipparchus.geometry.euclidean.threed.FieldRotation
Apply the rotation to a vector.
applyTo(Vector3D) - Method in class org.hipparchus.geometry.euclidean.threed.Rotation
Apply the rotation to a vector.
applyTo(T[], T[]) - Method in class org.hipparchus.geometry.euclidean.threed.FieldRotation
Apply the rotation to a vector stored in an array.
applyTransform(Transform<S, T>) - Method in class org.hipparchus.geometry.partitioning.AbstractRegion
Transform a region.
applyTransform(Transform<S, T>) - Method in class org.hipparchus.geometry.partitioning.AbstractSubHyperplane
Apply a transform to the instance.
approximateP(double, int, int) - Static method in class org.hipparchus.stat.inference.InferenceTestUtils
 
approximateP(double, int, int) - Method in class org.hipparchus.stat.inference.KolmogorovSmirnovTest
Uses the Kolmogorov-Smirnov distribution to approximate \(P(D_{n,m} > d)\) where \(D_{n,m}\) is the 2-sample Kolmogorov-Smirnov statistic.
Arc - Class in org.hipparchus.geometry.spherical.oned
This class represents an arc on a circle.
Arc(double, double, double) - Constructor for class org.hipparchus.geometry.spherical.oned.Arc
Simple constructor.
ArcsSet - Class in org.hipparchus.geometry.spherical.oned
This class represents a region of a circle: a set of arcs.
ArcsSet(double) - Constructor for class org.hipparchus.geometry.spherical.oned.ArcsSet
Build an arcs set representing the whole circle.
ArcsSet(double, double, double) - Constructor for class org.hipparchus.geometry.spherical.oned.ArcsSet
Build an arcs set corresponding to a single arc.
ArcsSet(Collection<SubHyperplane<Sphere1D>>, double) - Constructor for class org.hipparchus.geometry.spherical.oned.ArcsSet
Build an arcs set from a Boundary REPresentation (B-rep).
ArcsSet(BSPTree<Sphere1D>, double) - Constructor for class org.hipparchus.geometry.spherical.oned.ArcsSet
Build an arcs set from an inside/outside BSP tree.
ArcsSet.InconsistentStateAt2PiWrapping - Exception in org.hipparchus.geometry.spherical.oned
Specialized exception for inconsistent BSP tree state inconsistency.
ArcsSet.Split - Class in org.hipparchus.geometry.spherical.oned
Class holding the results of the split method.
ARGUMENT_OUTSIDE_DOMAIN - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
ARGUMENT_OUTSIDE_DOMAIN - org.hipparchus.migration.LocalizedMigrationFormats
Deprecated.
 
ARITHMETIC_EXCEPTION - org.hipparchus.exception.LocalizedCoreFormats
 
ARITHMETIC_EXCEPTION - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
ArithmeticUtils - Class in org.hipparchus.util
Some useful, arithmetics related, additions to the built-in functions in Math.
ARRAY_ELEMENT - org.hipparchus.exception.LocalizedCoreFormats
 
ARRAY_ELEMENT - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
ARRAY_SIZE_EXCEEDS_MAX_VARIABLES - org.hipparchus.exception.LocalizedCoreFormats
 
ARRAY_SIZE_EXCEEDS_MAX_VARIABLES - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
ARRAY_SIZES_SHOULD_HAVE_DIFFERENCE_1 - org.hipparchus.exception.LocalizedCoreFormats
 
ARRAY_SIZES_SHOULD_HAVE_DIFFERENCE_1 - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
ARRAY_SUMS_TO_ZERO - org.hipparchus.exception.LocalizedCoreFormats
 
ARRAY_SUMS_TO_ZERO - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
ARRAY_ZERO_LENGTH_OR_NULL_NOT_ALLOWED - org.hipparchus.exception.LocalizedCoreFormats
 
ARRAY_ZERO_LENGTH_OR_NULL_NOT_ALLOWED - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
Array2DRowFieldMatrix<T extends FieldElement<T>> - Class in org.hipparchus.linear
Implementation of FieldMatrix using a FieldElement[][] array to store entries.
Array2DRowFieldMatrix(Field<T>) - Constructor for class org.hipparchus.linear.Array2DRowFieldMatrix
Creates a matrix with no data
Array2DRowFieldMatrix(Field<T>, int, int) - Constructor for class org.hipparchus.linear.Array2DRowFieldMatrix
Create a new FieldMatrix<T> with the supplied row and column dimensions.
Array2DRowFieldMatrix(Field<T>, T[]) - Constructor for class org.hipparchus.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.hipparchus.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.hipparchus.linear.Array2DRowFieldMatrix
Create a new FieldMatrix<T> using the input array as the underlying data array.
Array2DRowFieldMatrix(T[]) - Constructor for class org.hipparchus.linear.Array2DRowFieldMatrix
Create a new (column) FieldMatrix<T> using v as the data for the unique column of the created matrix.
Array2DRowFieldMatrix(T[][]) - Constructor for class org.hipparchus.linear.Array2DRowFieldMatrix
Create a new FieldMatrix<T> using the input array as the underlying data array.
Array2DRowFieldMatrix(T[][], boolean) - Constructor for class org.hipparchus.linear.Array2DRowFieldMatrix
Create a new FieldMatrix<T> using the input array as the underlying data array.
Array2DRowRealMatrix - Class in org.hipparchus.linear
Implementation of RealMatrix using a double[][] array to store entries.
Array2DRowRealMatrix() - Constructor for class org.hipparchus.linear.Array2DRowRealMatrix
Creates a matrix with no data
Array2DRowRealMatrix(double[]) - Constructor for class org.hipparchus.linear.Array2DRowRealMatrix
Create a new (column) RealMatrix using v as the data for the unique column of the created matrix.
Array2DRowRealMatrix(double[][]) - Constructor for class org.hipparchus.linear.Array2DRowRealMatrix
Create a new RealMatrix using the input array as the underlying data array.
Array2DRowRealMatrix(double[][], boolean) - Constructor for class org.hipparchus.linear.Array2DRowRealMatrix
Create a new RealMatrix using the input array as the underlying data array.
Array2DRowRealMatrix(int, int) - Constructor for class org.hipparchus.linear.Array2DRowRealMatrix
Create a new RealMatrix with the supplied row and column dimensions.
ArrayFieldVector<T extends FieldElement<T>> - Class in org.hipparchus.linear
This class implements the FieldVector interface with a FieldElement array.
ArrayFieldVector(int, T) - Constructor for class org.hipparchus.linear.ArrayFieldVector
Construct a vector with preset values.
ArrayFieldVector(Field<T>) - Constructor for class org.hipparchus.linear.ArrayFieldVector
Build a 0-length vector.
ArrayFieldVector(Field<T>, int) - Constructor for class org.hipparchus.linear.ArrayFieldVector
Construct a vector of zeroes.
ArrayFieldVector(Field<T>, T[]) - Constructor for class org.hipparchus.linear.ArrayFieldVector
Construct a vector from an array, copying the input array.
ArrayFieldVector(Field<T>, T[], boolean) - Constructor for class org.hipparchus.linear.ArrayFieldVector
Create a new ArrayFieldVector using the input array as the underlying data array.
ArrayFieldVector(Field<T>, T[], int, int) - Constructor for class org.hipparchus.linear.ArrayFieldVector
Construct a vector from part of a array.
ArrayFieldVector(Field<T>, T[], T[]) - Constructor for class org.hipparchus.linear.ArrayFieldVector
Construct a vector by appending one vector to another vector.
ArrayFieldVector(ArrayFieldVector<T>) - Constructor for class org.hipparchus.linear.ArrayFieldVector
Construct a vector from another vector, using a deep copy.
ArrayFieldVector(ArrayFieldVector<T>, boolean) - Constructor for class org.hipparchus.linear.ArrayFieldVector
Construct a vector from another vector.
ArrayFieldVector(FieldVector<T>) - Constructor for class org.hipparchus.linear.ArrayFieldVector
Construct a vector from another vector, using a deep copy.
ArrayFieldVector(FieldVector<T>, FieldVector<T>) - Constructor for class org.hipparchus.linear.ArrayFieldVector
Construct a vector by appending one vector to another vector.
ArrayFieldVector(FieldVector<T>, T[]) - Constructor for class org.hipparchus.linear.ArrayFieldVector
Construct a vector by appending one vector to another vector.
ArrayFieldVector(T[]) - Constructor for class org.hipparchus.linear.ArrayFieldVector
Construct a vector from an array, copying the input array.
ArrayFieldVector(T[], boolean) - Constructor for class org.hipparchus.linear.ArrayFieldVector
Create a new ArrayFieldVector using the input array as the underlying data array.
ArrayFieldVector(T[], int, int) - Constructor for class org.hipparchus.linear.ArrayFieldVector
Construct a vector from part of a array.
ArrayFieldVector(T[], FieldVector<T>) - Constructor for class org.hipparchus.linear.ArrayFieldVector
Construct a vector by appending one vector to another vector.
ArrayFieldVector(T[], T[]) - Constructor for class org.hipparchus.linear.ArrayFieldVector
Construct a vector by appending one vector to another vector.
ArrayRealVector - Class in org.hipparchus.linear
This class implements the RealVector interface with a double array.
ArrayRealVector() - Constructor for class org.hipparchus.linear.ArrayRealVector
Build a 0-length vector.
ArrayRealVector(double[]) - Constructor for class org.hipparchus.linear.ArrayRealVector
Construct a vector from an array, copying the input array.
ArrayRealVector(double[], boolean) - Constructor for class org.hipparchus.linear.ArrayRealVector
Create a new ArrayRealVector using the input array as the underlying data array.
ArrayRealVector(double[], double[]) - Constructor for class org.hipparchus.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
ArrayRealVector(double[], int, int) - Constructor for class org.hipparchus.linear.ArrayRealVector
Construct a vector from part of a array.
ArrayRealVector(double[], ArrayRealVector) - Constructor for class org.hipparchus.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
ArrayRealVector(int) - Constructor for class org.hipparchus.linear.ArrayRealVector
Construct a vector of zeroes.
ArrayRealVector(int, double) - Constructor for class org.hipparchus.linear.ArrayRealVector
Construct a vector with preset values.
ArrayRealVector(Double[]) - Constructor for class org.hipparchus.linear.ArrayRealVector
Construct a vector from an array.
ArrayRealVector(Double[], int, int) - Constructor for class org.hipparchus.linear.ArrayRealVector
Construct a vector from part of an array.
ArrayRealVector(ArrayRealVector) - Constructor for class org.hipparchus.linear.ArrayRealVector
Construct a vector from another vector, using a deep copy.
ArrayRealVector(ArrayRealVector, boolean) - Constructor for class org.hipparchus.linear.ArrayRealVector
Construct a vector from another vector.
ArrayRealVector(ArrayRealVector, double[]) - Constructor for class org.hipparchus.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
ArrayRealVector(ArrayRealVector, ArrayRealVector) - Constructor for class org.hipparchus.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
ArrayRealVector(ArrayRealVector, RealVector) - Constructor for class org.hipparchus.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
ArrayRealVector(RealVector) - Constructor for class org.hipparchus.linear.ArrayRealVector
Construct a vector from another vector, using a deep copy.
ArrayRealVector(RealVector, ArrayRealVector) - Constructor for class org.hipparchus.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
asin() - Method in class org.hipparchus.analysis.differentiation.DerivativeStructure
Arc sine operation.
asin() - Method in class org.hipparchus.analysis.differentiation.FieldDerivativeStructure
Arc sine operation.
asin() - Method in class org.hipparchus.analysis.differentiation.SparseGradient
Arc sine operation.
asin() - Method in class org.hipparchus.complex.Complex
Compute the inverse sine of this complex number.
asin() - Method in class org.hipparchus.dfp.Dfp
Arc sine operation.
asin() - Method in interface org.hipparchus.RealFieldElement
Arc sine operation.
asin() - Method in class org.hipparchus.util.Decimal64
Arc sine operation.
asin() - Method in class org.hipparchus.util.FieldTuple
Arc sine operation.
asin() - Method in class org.hipparchus.util.Tuple
Arc sine operation.
asin(double) - Static method in class org.hipparchus.util.FastMath
Compute the arc sine of a number.
asin(double[], int, double[], int) - Method in class org.hipparchus.analysis.differentiation.DSCompiler
Compute arc sine of a derivative structure.
asin(Dfp) - Static method in class org.hipparchus.dfp.DfpMath
computes the arc-sine of the argument.
asin(T) - Static method in class org.hipparchus.util.FastMath
Compute the arc sine of a number.
asin(T[], int, T[], int) - Method in class org.hipparchus.analysis.differentiation.DSCompiler
Compute arc sine of a derivative structure.
Asin - Class in org.hipparchus.analysis.function
Arc-sine function.
Asin() - Constructor for class org.hipparchus.analysis.function.Asin
 
asinh() - Method in class org.hipparchus.analysis.differentiation.DerivativeStructure
Inverse hyperbolic sine operation.
asinh() - Method in class org.hipparchus.analysis.differentiation.FieldDerivativeStructure
Inverse hyperbolic sine operation.
asinh() - Method in class org.hipparchus.analysis.differentiation.SparseGradient
Inverse hyperbolic sine operation.
asinh() - Method in class org.hipparchus.dfp.Dfp
Inverse hyperbolic sine operation.
asinh() - Method in interface org.hipparchus.RealFieldElement
Inverse hyperbolic sine operation.
asinh() - Method in class org.hipparchus.util.Decimal64
Inverse hyperbolic sine operation.
asinh() - Method in class org.hipparchus.util.FieldTuple
Inverse hyperbolic sine operation.
asinh() - Method in class org.hipparchus.util.Tuple
Inverse hyperbolic sine operation.
asinh(double) - Static method in class org.hipparchus.util.FastMath
Compute the inverse hyperbolic sine of a number.
asinh(double[], int, double[], int) - Method in class org.hipparchus.analysis.differentiation.DSCompiler
Compute inverse hyperbolic sine of a derivative structure.
asinh(T) - Static method in class org.hipparchus.util.FastMath
Compute the inverse hyperbolic sine of a number.
asinh(T[], int, T[], int) - Method in class org.hipparchus.analysis.differentiation.DSCompiler
Compute inverse hyperbolic sine of a derivative structure.
Asinh - Class in org.hipparchus.analysis.function
Hyperbolic arc-sine function.
Asinh() - Constructor for class org.hipparchus.analysis.function.Asinh
 
asList() - Method in class org.hipparchus.geometry.euclidean.oned.IntervalsSet
Build an ordered list of intervals representing the instance.
asList() - Method in class org.hipparchus.geometry.spherical.oned.ArcsSet
Build an ordered list of arcs representing the instance.
ASSYMETRIC_EIGEN_NOT_SUPPORTED - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
ASSYMETRIC_EIGEN_NOT_SUPPORTED - org.hipparchus.migration.LocalizedMigrationFormats
Deprecated.
 
AT_LEAST_ONE_COLUMN - org.hipparchus.exception.LocalizedCoreFormats
 
AT_LEAST_ONE_COLUMN - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
AT_LEAST_ONE_ROW - org.hipparchus.exception.LocalizedCoreFormats
 
AT_LEAST_ONE_ROW - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
atan() - Method in class org.hipparchus.analysis.differentiation.DerivativeStructure
Arc tangent operation.
atan() - Method in class org.hipparchus.analysis.differentiation.FieldDerivativeStructure
Arc tangent operation.
atan() - Method in class org.hipparchus.analysis.differentiation.SparseGradient
Arc tangent operation.
atan() - Method in class org.hipparchus.complex.Complex
Compute the inverse tangent of this complex number.
atan() - Method in class org.hipparchus.dfp.Dfp
Arc tangent operation.
atan() - Method in interface org.hipparchus.RealFieldElement
Arc tangent operation.
atan() - Method in class org.hipparchus.util.Decimal64
Arc tangent operation.
atan() - Method in class org.hipparchus.util.FieldTuple
Arc tangent operation.
atan() - Method in class org.hipparchus.util.Tuple
Arc tangent operation.
atan(double) - Static method in class org.hipparchus.util.FastMath
Arctangent function
atan(double[], int, double[], int) - Method in class org.hipparchus.analysis.differentiation.DSCompiler
Compute arc tangent of a derivative structure.
atan(Dfp) - Static method in class org.hipparchus.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(T) - Static method in class org.hipparchus.util.FastMath
Arctangent function
atan(T[], int, T[], int) - Method in class org.hipparchus.analysis.differentiation.DSCompiler
Compute arc tangent of a derivative structure.
Atan - Class in org.hipparchus.analysis.function
Arc-tangent function.
Atan() - Constructor for class org.hipparchus.analysis.function.Atan
 
atan2(double[], int, double[], int, double[], int) - Method in class org.hipparchus.analysis.differentiation.DSCompiler
Compute two arguments arc tangent of a derivative structure.
atan2(double, double) - Static method in class org.hipparchus.util.FastMath
Two arguments arctangent function
atan2(DerivativeStructure) - Method in class org.hipparchus.analysis.differentiation.DerivativeStructure
Two arguments arc tangent operation.
atan2(DerivativeStructure, DerivativeStructure) - Static method in class org.hipparchus.analysis.differentiation.DerivativeStructure
Two arguments arc tangent operation.
atan2(FieldDerivativeStructure<T>) - Method in class org.hipparchus.analysis.differentiation.FieldDerivativeStructure
Two arguments arc tangent operation.
atan2(FieldDerivativeStructure<T>, FieldDerivativeStructure<T>) - Static method in class org.hipparchus.analysis.differentiation.FieldDerivativeStructure
Two arguments arc tangent operation.
atan2(SparseGradient) - Method in class org.hipparchus.analysis.differentiation.SparseGradient
Two arguments arc tangent operation.
atan2(SparseGradient, SparseGradient) - Static method in class org.hipparchus.analysis.differentiation.SparseGradient
Two arguments arc tangent operation.
atan2(Dfp) - Method in class org.hipparchus.dfp.Dfp
Two arguments arc tangent operation.
atan2(Decimal64) - Method in class org.hipparchus.util.Decimal64
Two arguments arc tangent operation.
atan2(FieldTuple<T>) - Method in class org.hipparchus.util.FieldTuple
Two arguments arc tangent operation.
atan2(Tuple) - Method in class org.hipparchus.util.Tuple
Two arguments arc tangent operation.
atan2(T) - Method in interface org.hipparchus.RealFieldElement
Two arguments arc tangent operation.
atan2(T[], int, T[], int, T[], int) - Method in class org.hipparchus.analysis.differentiation.DSCompiler
Compute two arguments arc tangent of a derivative structure.
atan2(T, T) - Static method in class org.hipparchus.util.FastMath
Two arguments arctangent function
Atan2 - Class in org.hipparchus.analysis.function
Arc-tangent function.
Atan2() - Constructor for class org.hipparchus.analysis.function.Atan2
 
atanh() - Method in class org.hipparchus.analysis.differentiation.DerivativeStructure
Inverse hyperbolic tangent operation.
atanh() - Method in class org.hipparchus.analysis.differentiation.FieldDerivativeStructure
Inverse hyperbolic tangent operation.
atanh() - Method in class org.hipparchus.analysis.differentiation.SparseGradient
Inverse hyperbolic tangent operation.
atanh() - Method in class org.hipparchus.dfp.Dfp
Inverse hyperbolic tangent operation.
atanh() - Method in interface org.hipparchus.RealFieldElement
Inverse hyperbolic tangent operation.
atanh() - Method in class org.hipparchus.util.Decimal64
Inverse hyperbolic tangent operation.
atanh() - Method in class org.hipparchus.util.FieldTuple
Inverse hyperbolic tangent operation.
atanh() - Method in class org.hipparchus.util.Tuple
Inverse hyperbolic tangent operation.
atanh(double) - Static method in class org.hipparchus.util.FastMath
Compute the inverse hyperbolic tangent of a number.
atanh(double[], int, double[], int) - Method in class org.hipparchus.analysis.differentiation.DSCompiler
Compute inverse hyperbolic tangent of a derivative structure.
atanh(T) - Static method in class org.hipparchus.util.FastMath
Compute the inverse hyperbolic tangent of a number.
atanh(T[], int, T[], int) - Method in class org.hipparchus.analysis.differentiation.DSCompiler
Compute inverse hyperbolic tangent of a derivative structure.
Atanh - Class in org.hipparchus.analysis.function
Hyperbolic arc-tangent function.
Atanh() - Constructor for class org.hipparchus.analysis.function.Atanh
 
atanInternal(Dfp) - Static method in class org.hipparchus.dfp.DfpMath
computes the arc-tangent of the argument.
AVERAGE - org.hipparchus.stat.ranking.TiesStrategy
Ties get the average of applicable ranks

B

ballOnSupport(List<Vector3D>) - Method in class org.hipparchus.geometry.euclidean.threed.SphereGenerator
Create a ball whose boundary lies on prescribed support points.
ballOnSupport(List<Vector2D>) - Method in class org.hipparchus.geometry.euclidean.twod.DiskGenerator
Create a ball whose boundary lies on prescribed support points.
ballOnSupport(List<P>) - Method in interface org.hipparchus.geometry.enclosing.SupportBallGenerator
Create a ball whose boundary lies on prescribed support points.
BANDWIDTH - org.hipparchus.exception.LocalizedCoreFormats
 
BANDWIDTH - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
BASE - org.hipparchus.exception.LocalizedCoreFormats
 
BASE - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
BaseAbstractUnivariateIntegrator - Class in org.hipparchus.analysis.integration
Provide a default implementation for several generic functions.
BaseAbstractUnivariateIntegrator(double, double) - Constructor for class org.hipparchus.analysis.integration.BaseAbstractUnivariateIntegrator
Construct an integrator with given accuracies.
BaseAbstractUnivariateIntegrator(double, double, int, int) - Constructor for class org.hipparchus.analysis.integration.BaseAbstractUnivariateIntegrator
Construct an integrator with given accuracies and iteration counts.
BaseAbstractUnivariateIntegrator(int, int) - Constructor for class org.hipparchus.analysis.integration.BaseAbstractUnivariateIntegrator
Construct an integrator with given iteration counts.
BaseAbstractUnivariateSolver<F extends UnivariateFunction> - Class in org.hipparchus.analysis.solvers
Provide a default implementation for several functions useful to generic solvers.
BaseAbstractUnivariateSolver(double) - Constructor for class org.hipparchus.analysis.solvers.BaseAbstractUnivariateSolver
Construct a solver with given absolute accuracy.
BaseAbstractUnivariateSolver(double, double) - Constructor for class org.hipparchus.analysis.solvers.BaseAbstractUnivariateSolver
Construct a solver with given accuracies.
BaseAbstractUnivariateSolver(double, double, double) - Constructor for class org.hipparchus.analysis.solvers.BaseAbstractUnivariateSolver
Construct a solver with given accuracies.
BaseMultiStartMultivariateOptimizer<P> - Class in org.hipparchus.optim
Base class multi-start optimizer for a multivariate function.
BaseMultiStartMultivariateOptimizer(BaseMultivariateOptimizer<P>, int, RandomVectorGenerator) - Constructor for class org.hipparchus.optim.BaseMultiStartMultivariateOptimizer
Create a multi-start optimizer from a single-start optimizer.
BaseMultivariateOptimizer<P> - Class in org.hipparchus.optim
Base class for implementing optimizers for multivariate functions.
BaseMultivariateOptimizer(ConvergenceChecker<P>) - Constructor for class org.hipparchus.optim.BaseMultivariateOptimizer
 
BaseOptimizer<P> - Class in org.hipparchus.optim
Base class for implementing optimizers.
BaseOptimizer(ConvergenceChecker<P>) - Constructor for class org.hipparchus.optim.BaseOptimizer
 
BaseOptimizer(ConvergenceChecker<P>, int, int) - Constructor for class org.hipparchus.optim.BaseOptimizer
 
BaseRuleFactory<T extends Number> - Class in org.hipparchus.analysis.integration.gauss
Base class for rules that determines the integration nodes and their weights.
BaseRuleFactory() - Constructor for class org.hipparchus.analysis.integration.gauss.BaseRuleFactory
 
BaseSecantSolver - Class in org.hipparchus.analysis.solvers
Base class for all bracketing Secant-based methods for root-finding (approximating a zero of a univariate real function).
BaseSecantSolver(double, double, double, BaseSecantSolver.Method) - Constructor for class org.hipparchus.analysis.solvers.BaseSecantSolver
Construct a solver.
BaseSecantSolver(double, double, BaseSecantSolver.Method) - Constructor for class org.hipparchus.analysis.solvers.BaseSecantSolver
Construct a solver.
BaseSecantSolver(double, BaseSecantSolver.Method) - Constructor for class org.hipparchus.analysis.solvers.BaseSecantSolver
Construct a solver.
BaseSecantSolver.Method - Enum in org.hipparchus.analysis.solvers
Secant-based root-finding methods.
BaseUnivariateSolver<F extends UnivariateFunction> - Interface in org.hipparchus.analysis.solvers
Interface for (univariate real) rootfinding algorithms.
BELOW_SIDE - org.hipparchus.analysis.solvers.AllowedSolution
Only solutions for which values are less than or equal to zero are acceptable as solutions for root-finding.
BESSEL_FUNCTION_BAD_ARGUMENT - org.hipparchus.exception.LocalizedCoreFormats
 
BESSEL_FUNCTION_BAD_ARGUMENT - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
BESSEL_FUNCTION_FAILED_CONVERGENCE - org.hipparchus.exception.LocalizedCoreFormats
 
BESSEL_FUNCTION_FAILED_CONVERGENCE - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
BesselJ - Class in org.hipparchus.special
This class provides computation methods related to Bessel functions of the first kind.
BesselJ(double) - Constructor for class org.hipparchus.special.BesselJ
Create a new BesselJ with the given order.
BesselJ.BesselJResult - Class in org.hipparchus.special
Encapsulates the results returned by BesselJ.rjBesl(double, double, int).
BesselJResult(double[], int) - Constructor for class org.hipparchus.special.BesselJ.BesselJResult
Create a new BesselJResult with the given values and valid value count.
Beta - Class in org.hipparchus.special
This is a utility class that provides computation methods related to the Beta family of functions.
BetaDistribution - Class in org.hipparchus.distribution.continuous
Implements the Beta distribution.
BetaDistribution(double, double) - Constructor for class org.hipparchus.distribution.continuous.BetaDistribution
Build a new instance.
BetaDistribution(double, double, double) - Constructor for class org.hipparchus.distribution.continuous.BetaDistribution
Build a new instance.
BicubicInterpolatingFunction - Class in org.hipparchus.analysis.interpolation
Function that implements the bicubic spline interpolation.
BicubicInterpolatingFunction(double[], double[], double[][], double[][], double[][], double[][]) - Constructor for class org.hipparchus.analysis.interpolation.BicubicInterpolatingFunction
 
BicubicInterpolator - Class in org.hipparchus.analysis.interpolation
BicubicInterpolator() - Constructor for class org.hipparchus.analysis.interpolation.BicubicInterpolator
 
bigDecimalValue() - Method in class org.hipparchus.fraction.BigFraction
Gets the fraction as a BigDecimal.
bigDecimalValue() - Method in class org.hipparchus.util.BigReal
Get the BigDecimal value corresponding to the instance.
bigDecimalValue(int) - Method in class org.hipparchus.fraction.BigFraction
Gets the fraction as a BigDecimal following the passed rounding mode.
bigDecimalValue(int, int) - Method in class org.hipparchus.fraction.BigFraction
Gets the fraction as a BigDecimal following the passed scale and rounding mode.
BigFraction - Class in org.hipparchus.fraction
Representation of a rational number without any overflow.
BigFraction(double) - Constructor for class org.hipparchus.fraction.BigFraction
Create a fraction given the double value.
BigFraction(double, double, int) - Constructor for class org.hipparchus.fraction.BigFraction
Create a fraction given the double value and maximum error allowed.
BigFraction(double, int) - Constructor for class org.hipparchus.fraction.BigFraction
Create a fraction given the double value and maximum denominator.
BigFraction(int) - Constructor for class org.hipparchus.fraction.BigFraction
Create a BigFraction equivalent to the passed int, ie "num / 1".
BigFraction(int, int) - Constructor for class org.hipparchus.fraction.BigFraction
Create a BigFraction given the numerator and denominator as simple int.
BigFraction(long) - Constructor for class org.hipparchus.fraction.BigFraction
Create a BigFraction equivalent to the passed long, ie "num / 1".
BigFraction(long, long) - Constructor for class org.hipparchus.fraction.BigFraction
Create a BigFraction given the numerator and denominator as simple long.
BigFraction(BigInteger) - Constructor for class org.hipparchus.fraction.BigFraction
Create a BigFraction equivalent to the passed BigInteger, ie "num / 1".
BigFraction(BigInteger, BigInteger) - Constructor for class org.hipparchus.fraction.BigFraction
Create a BigFraction given the numerator and denominator as BigInteger.
BigFractionField - Class in org.hipparchus.fraction
Representation of the fractional numbers without any overflow field.
BigFractionFormat - Class in org.hipparchus.fraction
Formats a BigFraction number in proper format or improper format.
BigFractionFormat() - Constructor for class org.hipparchus.fraction.BigFractionFormat
Create an improper formatting instance with the default number format for the numerator and denominator.
BigFractionFormat(NumberFormat) - Constructor for class org.hipparchus.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.hipparchus.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.hipparchus.linear.MatrixUtils
Convert a FieldMatrix/BigFraction matrix to a RealMatrix.
BigReal - Class in org.hipparchus.util
Arbitrary precision decimal number.
BigReal(char[]) - Constructor for class org.hipparchus.util.BigReal
Build an instance from a characters representation.
BigReal(char[], int, int) - Constructor for class org.hipparchus.util.BigReal
Build an instance from a characters representation.
BigReal(char[], int, int, MathContext) - Constructor for class org.hipparchus.util.BigReal
Build an instance from a characters representation.
BigReal(char[], MathContext) - Constructor for class org.hipparchus.util.BigReal
Build an instance from a characters representation.
BigReal(double) - Constructor for class org.hipparchus.util.BigReal
Build an instance from a double.
BigReal(double, MathContext) - Constructor for class org.hipparchus.util.BigReal
Build an instance from a double.
BigReal(int) - Constructor for class org.hipparchus.util.BigReal
Build an instance from an int.
BigReal(int, MathContext) - Constructor for class org.hipparchus.util.BigReal
Build an instance from an int.
BigReal(long) - Constructor for class org.hipparchus.util.BigReal
Build an instance from a long.
BigReal(long, MathContext) - Constructor for class org.hipparchus.util.BigReal
Build an instance from a long.
BigReal(String) - Constructor for class org.hipparchus.util.BigReal
Build an instance from a String representation.
BigReal(String, MathContext) - Constructor for class org.hipparchus.util.BigReal
Build an instance from a String representation.
BigReal(BigDecimal) - Constructor for class org.hipparchus.util.BigReal
Build an instance from a BigDecimal.
BigReal(BigInteger) - Constructor for class org.hipparchus.util.BigReal
Build an instance from a BigInteger.
BigReal(BigInteger, int) - Constructor for class org.hipparchus.util.BigReal
Build an instance from an unscaled BigInteger.
BigReal(BigInteger, int, MathContext) - Constructor for class org.hipparchus.util.BigReal
Build an instance from an unscaled BigInteger.
BigReal(BigInteger, MathContext) - Constructor for class org.hipparchus.util.BigReal
Build an instance from a BigInteger.
BigRealField - Class in org.hipparchus.util
Representation of real numbers with arbitrary precision field.
BilinearInterpolatingFunction - Class in org.hipparchus.analysis.interpolation
Interpolate grid data using bi-linear interpolation.
BilinearInterpolatingFunction(double[], double[], double[][]) - Constructor for class org.hipparchus.analysis.interpolation.BilinearInterpolatingFunction
Simple constructor.
BilinearInterpolator - Class in org.hipparchus.analysis.interpolation
Interpolate grid data using bi-linear interpolation.
BilinearInterpolator() - Constructor for class org.hipparchus.analysis.interpolation.BilinearInterpolator
 
BINOMIAL_INVALID_PARAMETERS_ORDER - org.hipparchus.exception.LocalizedCoreFormats
 
BINOMIAL_INVALID_PARAMETERS_ORDER - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
BINOMIAL_NEGATIVE_PARAMETER - org.hipparchus.exception.LocalizedCoreFormats
 
BINOMIAL_NEGATIVE_PARAMETER - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
binomialCoefficient(int, int) - Static method in class org.hipparchus.util.CombinatoricsUtils
Returns an exact representation of the Binomial Coefficient, "n choose k", the number of k-element subsets that can be selected from an n-element set.
binomialCoefficientDouble(int, int) - Static method in class org.hipparchus.util.CombinatoricsUtils
Returns a double representation of the Binomial Coefficient, "n choose k", the number of k-element subsets that can be selected from an n-element set.
binomialCoefficientLog(int, int) - Static method in class org.hipparchus.util.CombinatoricsUtils
Returns the natural log of the Binomial Coefficient, "n choose k", the number of k-element subsets that can be selected from an n-element set.
BinomialDistribution - Class in org.hipparchus.distribution.discrete
Implementation of the binomial distribution.
BinomialDistribution(int, double) - Constructor for class org.hipparchus.distribution.discrete.BinomialDistribution
Create a binomial distribution with the given number of trials and probability of success.
BinomialProportion - Class in org.hipparchus.stat.interval
Utility methods to generate confidence intervals for a binomial proportion.
binomialTest(int, int, double, AlternativeHypothesis) - Method in class org.hipparchus.stat.inference.BinomialTest
Returns the observed significance level, or p-value, associated with a Binomial test.
binomialTest(int, int, double, AlternativeHypothesis, double) - Method in class org.hipparchus.stat.inference.BinomialTest
Returns whether the null hypothesis can be rejected with the given confidence level.
BinomialTest - Class in org.hipparchus.stat.inference
Implements binomial test statistics.
BinomialTest() - Constructor for class org.hipparchus.stat.inference.BinomialTest
 
BisectionSolver - Class in org.hipparchus.analysis.solvers
Implements the bisection algorithm for finding zeros of univariate real functions.
BisectionSolver() - Constructor for class org.hipparchus.analysis.solvers.BisectionSolver
Construct a solver with default accuracy (1e-6).
BisectionSolver(double) - Constructor for class org.hipparchus.analysis.solvers.BisectionSolver
Construct a solver.
BisectionSolver(double, double) - Constructor for class org.hipparchus.analysis.solvers.BisectionSolver
Construct a solver.
BivariateFunction - Interface in org.hipparchus.analysis
An interface representing a bivariate real function.
BivariateGridInterpolator - Interface in org.hipparchus.analysis.interpolation
Interface representing a bivariate real interpolating function where the sample points must be specified on a regular grid.
BLAND - org.hipparchus.optim.linear.PivotSelectionRule
The first variable with a negative coefficient in the objective function row will be chosen as entering variable.
BLOCK_SIZE - Static variable in class org.hipparchus.linear.BlockFieldMatrix
Block size.
BLOCK_SIZE - Static variable in class org.hipparchus.linear.BlockRealMatrix
Block size.
BlockFieldMatrix<T extends FieldElement<T>> - Class in org.hipparchus.linear
Cache-friendly implementation of FieldMatrix using a flat arrays to store square blocks of the matrix.
BlockFieldMatrix(int, int, T[][], boolean) - Constructor for class org.hipparchus.linear.BlockFieldMatrix
Create a new dense matrix copying entries from block layout data.
BlockFieldMatrix(Field<T>, int, int) - Constructor for class org.hipparchus.linear.BlockFieldMatrix
Create a new matrix with the supplied row and column dimensions.
BlockFieldMatrix(T[][]) - Constructor for class org.hipparchus.linear.BlockFieldMatrix
Create a new dense matrix copying entries from raw layout data.
blockInverse(RealMatrix, int) - Static method in class org.hipparchus.linear.MatrixUtils
Computes the inverse of the given matrix by splitting it into 4 sub-matrices.
BlockRealMatrix - Class in org.hipparchus.linear
Cache-friendly implementation of RealMatrix using a flat arrays to store square blocks of the matrix.
BlockRealMatrix(double[][]) - Constructor for class org.hipparchus.linear.BlockRealMatrix
Create a new dense matrix copying entries from raw layout data.
BlockRealMatrix(int, int) - Constructor for class org.hipparchus.linear.BlockRealMatrix
Create a new matrix with the supplied row and column dimensions.
BlockRealMatrix(int, int, double[][], boolean) - Constructor for class org.hipparchus.linear.BlockRealMatrix
Create a new dense matrix copying entries from block layout data.
BOBYQA_BOUND_DIFFERENCE_CONDITION - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
BOBYQA_BOUND_DIFFERENCE_CONDITION - org.hipparchus.migration.LocalizedMigrationFormats
Deprecated.
 
BOBYQAOptimizer - Class in org.hipparchus.optim.nonlinear.scalar.noderiv
Powell's BOBYQA algorithm.
BOBYQAOptimizer(int) - Constructor for class org.hipparchus.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
 
BOBYQAOptimizer(int, double, double) - Constructor for class org.hipparchus.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
 
bootstrap(double[], double[], int) - Method in class org.hipparchus.stat.inference.KolmogorovSmirnovTest
Computes bootstrap(x, y, iterations, true).
bootstrap(double[], double[], int, boolean) - Method in class org.hipparchus.stat.inference.KolmogorovSmirnovTest
Estimates the p-value of a two-sample Kolmogorov-Smirnov test evaluating the null hypothesis that x and y are samples drawn from the same probability distribution.
BOTH - org.hipparchus.geometry.partitioning.Side
Code for elements crossing the hyperplane from plus to minus side.
BOTH - org.hipparchus.ode.sampling.StepNormalizerBounds
Include both the first and last points.
BOUNDARY - org.hipparchus.geometry.partitioning.Region.Location
Code for points on the partition boundary.
BoundaryAttribute<S extends Space> - Class in org.hipparchus.geometry.partitioning
Class holding boundary attributes.
BoundaryProjection<S extends Space> - Class in org.hipparchus.geometry.partitioning
Class holding the result of point projection on region boundary.
BoundaryProjection(Point<S>, Point<S>, double) - Constructor for class org.hipparchus.geometry.partitioning.BoundaryProjection
Constructor from raw elements.
boundedToUnbounded(double[]) - Method in class org.hipparchus.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter
Maps an array from bounded to unbounded.
bracket(RealFieldUnivariateFunction<T>, T, T, T) - Static method in class org.hipparchus.analysis.solvers.UnivariateSolverUtils
This method simply calls bracket(function, initial, lowerBound, upperBound, q, r, maximumIterations) with q and r set to 1.0 and maximumIterations set to Integer.MAX_VALUE.
bracket(RealFieldUnivariateFunction<T>, T, T, T, int) - Static method in class org.hipparchus.analysis.solvers.UnivariateSolverUtils
This method simply calls bracket(function, initial, lowerBound, upperBound, q, r, maximumIterations) with q and r set to 1.0.
bracket(RealFieldUnivariateFunction<T>, T, T, T, T, T, int) - Static method in class org.hipparchus.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) - Static method in class org.hipparchus.analysis.solvers.UnivariateSolverUtils
This method simply calls bracket(function, initial, lowerBound, upperBound, q, r, maximumIterations) with q and r set to 1.0 and maximumIterations set to Integer.MAX_VALUE.
bracket(UnivariateFunction, double, double, double, double, double, int) - Static method in class org.hipparchus.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.hipparchus.analysis.solvers.UnivariateSolverUtils
This method simply calls bracket(function, initial, lowerBound, upperBound, q, r, maximumIterations) with q and r set to 1.0.
BracketedRealFieldUnivariateSolver<T extends RealFieldElement<T>> - Interface in org.hipparchus.analysis.solvers
Interface for (univariate real) root-finding algorithms that maintain a bracketed solution.
BracketedRealFieldUnivariateSolver.Interval<T extends RealFieldElement<T>> - Class in org.hipparchus.analysis.solvers
An interval of a function that brackets a root.
BracketedUnivariateSolver<F extends UnivariateFunction> - Interface in org.hipparchus.analysis.solvers
Interface for (univariate real) root-finding algorithms that maintain a bracketed solution.
BracketedUnivariateSolver.Interval - Class in org.hipparchus.analysis.solvers
An interval of a function that brackets a root.
BracketFinder - Class in org.hipparchus.optim.univariate
Provide an interval that brackets a local optimum of a function.
BracketFinder() - Constructor for class org.hipparchus.optim.univariate.BracketFinder
Constructor with default values 100, 500 (see the other constructor).
BracketFinder(double, int) - Constructor for class org.hipparchus.optim.univariate.BracketFinder
Create a bracketing interval finder.
BracketingNthOrderBrentSolver - Class in org.hipparchus.analysis.solvers
This class implements a modification of the Brent algorithm.
BracketingNthOrderBrentSolver() - Constructor for class org.hipparchus.analysis.solvers.BracketingNthOrderBrentSolver
Construct a solver with default accuracy and maximal order (1e-6 and 5 respectively)
BracketingNthOrderBrentSolver(double, double, double, int) - Constructor for class org.hipparchus.analysis.solvers.BracketingNthOrderBrentSolver
Construct a solver.
BracketingNthOrderBrentSolver(double, double, int) - Constructor for class org.hipparchus.analysis.solvers.BracketingNthOrderBrentSolver
Construct a solver.
BracketingNthOrderBrentSolver(double, int) - Constructor for class org.hipparchus.analysis.solvers.BracketingNthOrderBrentSolver
Construct a solver.
BrentOptimizer - Class in org.hipparchus.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) - Constructor for class org.hipparchus.optim.univariate.BrentOptimizer
The arguments are used for implementing the original stopping criterion of Brent's algorithm.
BrentOptimizer(double, double, ConvergenceChecker<UnivariatePointValuePair>) - Constructor for class org.hipparchus.optim.univariate.BrentOptimizer
The arguments are used implement the original stopping criterion of Brent's algorithm.
BrentSolver - Class in org.hipparchus.analysis.solvers
This class implements the Brent algorithm for finding zeros of real univariate functions.
BrentSolver() - Constructor for class org.hipparchus.analysis.solvers.BrentSolver
Construct a solver with default absolute accuracy (1e-6).
BrentSolver(double) - Constructor for class org.hipparchus.analysis.solvers.BrentSolver
Construct a solver.
BrentSolver(double, double) - Constructor for class org.hipparchus.analysis.solvers.BrentSolver
Construct a solver.
BrentSolver(double, double, double) - Constructor for class org.hipparchus.analysis.solvers.BrentSolver
Construct a solver.
BRep(List<Vector3D>, List<int[]>) - Constructor for class org.hipparchus.geometry.euclidean.threed.PolyhedronsSet.BRep
Simple constructor.
BSPTree<S extends Space> - Class in org.hipparchus.geometry.partitioning
This class represent a Binary Space Partition tree.
BSPTree() - Constructor for class org.hipparchus.geometry.partitioning.BSPTree
Build a tree having only one root cell representing the whole space.
BSPTree(Object) - Constructor for class org.hipparchus.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.hipparchus.geometry.partitioning.BSPTree
Build a BSPTree from its underlying elements.
BSPTree.LeafMerger<S extends Space> - Interface in org.hipparchus.geometry.partitioning
This interface gather the merging operations between a BSP tree leaf and another BSP tree.
BSPTree.VanishingCutHandler<S extends Space> - Interface in org.hipparchus.geometry.partitioning
This interface handles the corner cases when an internal node cut sub-hyperplane vanishes.
BSPTreeVisitor<S extends Space> - Interface in org.hipparchus.geometry.partitioning
This interface is used to visit BSP tree nodes.
BSPTreeVisitor.Order - Enum in org.hipparchus.geometry.partitioning
Enumerate for visit order with respect to plus sub-tree, minus sub-tree and cut sub-hyperplane.
build() - Method in class org.hipparchus.optim.nonlinear.vector.leastsquares.LeastSquaresBuilder
Construct a LeastSquaresProblem from the data in this builder.
build() - Method in class org.hipparchus.stat.descriptive.StreamingStatistics.StreamingStatisticsBuilder
Builds a StreamingStatistics instance with currently defined properties.
build(double...) - Method in class org.hipparchus.analysis.differentiation.DSFactory
Build a DerivativeStructure from all its derivatives.
build(double...) - Method in class org.hipparchus.analysis.differentiation.FDSFactory
Build a FieldDerivativeStructure from all its derivatives.
build(double[]) - Method in class org.hipparchus.optim.nonlinear.scalar.noderiv.AbstractSimplex
Build an initial simplex.
build(T...) - Method in class org.hipparchus.analysis.differentiation.FDSFactory
Build a FieldDerivativeStructure from all its derivatives.
buildArray(Field<T>, int) - Static method in class org.hipparchus.util.MathArrays
Build an array of elements.
buildArray(Field<T>, int, int) - Static method in class org.hipparchus.util.MathArrays
Build a double dimension array of elements.
buildArray(Field<T>, int, int, int) - Static method in class org.hipparchus.util.MathArrays
Build a triple dimension array of elements.
buildConvex(Hyperplane<S>...) - Method in class org.hipparchus.geometry.partitioning.RegionFactory
Build a convex region from a collection of bounding hyperplanes.
builder() - Static method in class org.hipparchus.stat.descriptive.StreamingStatistics
Returns a StreamingStatistics.StreamingStatisticsBuilder to source configured StreamingStatistics instances.
buildNew(BSPTree<Euclidean1D>) - Method in class org.hipparchus.geometry.euclidean.oned.IntervalsSet
Build a region using the instance as a prototype.
buildNew(BSPTree<Euclidean3D>) - Method in class org.hipparchus.geometry.euclidean.threed.PolyhedronsSet
Build a region using the instance as a prototype.
buildNew(BSPTree<Euclidean2D>) - Method in class org.hipparchus.geometry.euclidean.twod.PolygonsSet
Build a region using the instance as a prototype.
buildNew(BSPTree<Sphere1D>) - Method in class org.hipparchus.geometry.spherical.oned.ArcsSet
Build a region using the instance as a prototype.
buildNew(BSPTree<Sphere2D>) - Method in class org.hipparchus.geometry.spherical.twod.SphericalPolygonsSet
Build a region using the instance as a prototype.
buildNew(BSPTree<S>) - Method in class org.hipparchus.geometry.partitioning.AbstractRegion
Build a region using the instance as a prototype.
buildNew(BSPTree<S>) - Method in interface org.hipparchus.geometry.partitioning.Region
Build a region using the instance as a prototype.
buildNew(Hyperplane<Euclidean1D>, Region<Euclidean1D>) - Method in class org.hipparchus.geometry.euclidean.oned.SubOrientedPoint
Build a sub-hyperplane from an hyperplane and a region.
buildNew(Hyperplane<Euclidean3D>, Region<Euclidean2D>) - Method in class org.hipparchus.geometry.euclidean.threed.SubPlane
Build a sub-hyperplane from an hyperplane and a region.
buildNew(Hyperplane<Euclidean2D>, Region<Euclidean1D>) - Method in class org.hipparchus.geometry.euclidean.twod.SubLine
Build a sub-hyperplane from an hyperplane and a region.
buildNew(Hyperplane<Sphere1D>, Region<Sphere1D>) - Method in class org.hipparchus.geometry.spherical.oned.SubLimitAngle
Build a sub-hyperplane from an hyperplane and a region.
buildNew(Hyperplane<Sphere2D>, Region<Sphere1D>) - Method in class org.hipparchus.geometry.spherical.twod.SubCircle
Build a sub-hyperplane from an hyperplane and a region.
buildNew(Hyperplane<S>, Region<T>) - Method in class org.hipparchus.geometry.partitioning.AbstractSubHyperplane
Build a sub-hyperplane from an hyperplane and a region.
ButcherArrayProvider - Interface in org.hipparchus.ode.nonstiff
This interface represents an integrator based on Butcher arrays.
byteValue() - Method in class org.hipparchus.util.Decimal64
The current implementation performs casting to a byte.

C

calculateAdjustedRSquared() - Method in class org.hipparchus.stat.regression.OLSMultipleLinearRegression
Returns the adjusted R-squared statistic, defined by the formula
calculateBeta() - Method in class org.hipparchus.stat.regression.AbstractMultipleLinearRegression
Calculates the beta of multiple linear regression in matrix notation.
calculateBeta() - Method in class org.hipparchus.stat.regression.GLSMultipleLinearRegression
Calculates beta by GLS.
calculateBeta() - Method in class org.hipparchus.stat.regression.OLSMultipleLinearRegression
Calculates the regression coefficients using OLS.
calculateBetaVariance() - Method in class org.hipparchus.stat.regression.AbstractMultipleLinearRegression
Calculates the beta variance of multiple linear regression in matrix notation.
calculateBetaVariance() - Method in class org.hipparchus.stat.regression.GLSMultipleLinearRegression
Calculates the variance on the beta.
calculateBetaVariance() - Method in class org.hipparchus.stat.regression.OLSMultipleLinearRegression
Calculates the variance-covariance matrix of the regression parameters.
calculateErrorVariance() - Method in class org.hipparchus.stat.regression.AbstractMultipleLinearRegression
Calculates the variance of the error term.
calculateErrorVariance() - Method in class org.hipparchus.stat.regression.GLSMultipleLinearRegression
Calculates the estimated variance of the error term using the formula
calculateHat() - Method in class org.hipparchus.stat.regression.OLSMultipleLinearRegression
Compute the "hat" matrix.
calculateNumericalMean() - Method in class org.hipparchus.distribution.discrete.ZipfDistribution
calculateNumericalVariance() - Method in class org.hipparchus.distribution.discrete.ZipfDistribution
calculateResiduals() - Method in class org.hipparchus.stat.regression.AbstractMultipleLinearRegression
Calculates the residuals of multiple linear regression in matrix notation.
calculateResidualSumOfSquares() - Method in class org.hipparchus.stat.regression.OLSMultipleLinearRegression
Returns the sum of squared residuals.
calculateRSquared() - Method in class org.hipparchus.stat.regression.OLSMultipleLinearRegression
Returns the R-Squared statistic, defined by the formula
calculateTotalSumOfSquares() - Method in class org.hipparchus.stat.regression.OLSMultipleLinearRegression
Returns the sum of squared deviations of Y from its mean.
calculateYVariance() - Method in class org.hipparchus.stat.regression.AbstractMultipleLinearRegression
Calculates the variance of the y values.
CanberraDistance - Class in org.hipparchus.clustering.distance
Calculates the Canberra distance between two points.
CanberraDistance() - Constructor for class org.hipparchus.clustering.distance.CanberraDistance
 
canIncrement() - Method in class org.hipparchus.util.Incrementor
Checks whether incrementing the counter nTimes is allowed.
canIncrement(int) - Method in class org.hipparchus.util.Incrementor
Checks whether incrementing the counter several times is allowed.
CANNOT_CLEAR_STATISTIC_CONSTRUCTED_FROM_EXTERNAL_MOMENTS - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
CANNOT_CLEAR_STATISTIC_CONSTRUCTED_FROM_EXTERNAL_MOMENTS - org.hipparchus.migration.LocalizedMigrationFormats
Deprecated.
 
CANNOT_COMPUTE_0TH_ROOT_OF_UNITY - org.hipparchus.exception.LocalizedCoreFormats
 
CANNOT_COMPUTE_0TH_ROOT_OF_UNITY - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
CANNOT_COMPUTE_BETA_DENSITY_AT_0_FOR_SOME_ALPHA - org.hipparchus.exception.LocalizedCoreFormats
 
CANNOT_COMPUTE_BETA_DENSITY_AT_0_FOR_SOME_ALPHA - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
CANNOT_COMPUTE_BETA_DENSITY_AT_1_FOR_SOME_BETA - org.hipparchus.exception.LocalizedCoreFormats
 
CANNOT_COMPUTE_BETA_DENSITY_AT_1_FOR_SOME_BETA - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
CANNOT_COMPUTE_NTH_ROOT_FOR_NEGATIVE_N - org.hipparchus.exception.LocalizedCoreFormats
 
CANNOT_COMPUTE_NTH_ROOT_FOR_NEGATIVE_N - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
CANNOT_DISCARD_NEGATIVE_NUMBER_OF_ELEMENTS - org.hipparchus.exception.LocalizedCoreFormats
 
CANNOT_DISCARD_NEGATIVE_NUMBER_OF_ELEMENTS - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
CANNOT_FORMAT_INSTANCE_AS_3D_VECTOR - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
CANNOT_FORMAT_INSTANCE_AS_3D_VECTOR - org.hipparchus.migration.LocalizedMigrationFormats
Deprecated.
 
CANNOT_FORMAT_INSTANCE_AS_COMPLEX - org.hipparchus.exception.LocalizedCoreFormats
 
CANNOT_FORMAT_INSTANCE_AS_COMPLEX - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
CANNOT_FORMAT_INSTANCE_AS_REAL_VECTOR - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
CANNOT_FORMAT_INSTANCE_AS_REAL_VECTOR - org.hipparchus.migration.LocalizedMigrationFormats
Deprecated.
 
CANNOT_FORMAT_OBJECT_TO_FRACTION - org.hipparchus.exception.LocalizedCoreFormats
 
CANNOT_FORMAT_OBJECT_TO_FRACTION - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
CANNOT_INCREMENT_STATISTIC_CONSTRUCTED_FROM_EXTERNAL_MOMENTS - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
CANNOT_INCREMENT_STATISTIC_CONSTRUCTED_FROM_EXTERNAL_MOMENTS - org.hipparchus.migration.LocalizedMigrationFormats
Deprecated.
 
CANNOT_NORMALIZE_A_ZERO_NORM_VECTOR - org.hipparchus.geometry.LocalizedGeometryFormats
 
CANNOT_NORMALIZE_A_ZERO_NORM_VECTOR - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
CANNOT_PARSE - org.hipparchus.exception.LocalizedCoreFormats
 
CANNOT_PARSE - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
CANNOT_PARSE_AS_TYPE - org.hipparchus.exception.LocalizedCoreFormats
 
CANNOT_PARSE_AS_TYPE - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
CANNOT_RETRIEVE_AT_NEGATIVE_INDEX - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
CANNOT_RETRIEVE_AT_NEGATIVE_INDEX - org.hipparchus.migration.LocalizedMigrationFormats
Deprecated.
 
CANNOT_SET_AT_NEGATIVE_INDEX - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
CANNOT_SET_AT_NEGATIVE_INDEX - org.hipparchus.migration.LocalizedMigrationFormats
Deprecated.
 
CANNOT_SUBSTITUTE_ELEMENT_FROM_EMPTY_ARRAY - org.hipparchus.exception.LocalizedCoreFormats
 
CANNOT_SUBSTITUTE_ELEMENT_FROM_EMPTY_ARRAY - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
CANNOT_TRANSFORM_TO_DOUBLE - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
CANNOT_TRANSFORM_TO_DOUBLE - org.hipparchus.migration.LocalizedMigrationFormats
Deprecated.
 
CARDAN_ANGLES_SINGULARITY - org.hipparchus.geometry.LocalizedGeometryFormats
 
CARDAN_ANGLES_SINGULARITY - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
CardanEulerSingularityException - Exception in org.hipparchus.migration.geometry.euclidean
Deprecated.
as of 1.0, this exception is replaced by MathIllegalStateException
CardanEulerSingularityException(boolean) - Constructor for exception org.hipparchus.migration.geometry.euclidean.CardanEulerSingularityException
Deprecated.
Simple constructor.
CauchyDistribution - Class in org.hipparchus.distribution.continuous
Implementation of the Cauchy distribution.
CauchyDistribution() - Constructor for class org.hipparchus.distribution.continuous.CauchyDistribution
Creates a Cauchy distribution with the median equal to zero and scale equal to one.
CauchyDistribution(double, double) - Constructor for class org.hipparchus.distribution.continuous.CauchyDistribution
Creates a Cauchy distribution.
cbrt() - Method in class org.hipparchus.analysis.differentiation.DerivativeStructure
Cubic root.
cbrt() - Method in class org.hipparchus.analysis.differentiation.FieldDerivativeStructure
Cubic root.
cbrt() - Method in class org.hipparchus.analysis.differentiation.SparseGradient
Cubic root.
cbrt() - Method in class org.hipparchus.dfp.Dfp
Cubic root.
cbrt() - Method in interface org.hipparchus.RealFieldElement
Cubic root.
cbrt() - Method in class org.hipparchus.util.Decimal64
Cubic root.
cbrt() - Method in class org.hipparchus.util.FieldTuple
Cubic root.
cbrt() - Method in class org.hipparchus.util.Tuple
Cubic root.
cbrt(double) - Static method in class org.hipparchus.util.FastMath
Compute the cubic root of a number.
cbrt(T) - Static method in class org.hipparchus.util.FastMath
Compute the cubic root of a number.
Cbrt - Class in org.hipparchus.analysis.function
Cube root function.
Cbrt() - Constructor for class org.hipparchus.analysis.function.Cbrt
 
cdf(double, int) - Method in class org.hipparchus.stat.inference.KolmogorovSmirnovTest
Calculates P(D_n < d) using the method described in [1] with quick decisions for extreme values given in [2] (see above).
cdf(double, int, boolean) - Method in class org.hipparchus.stat.inference.KolmogorovSmirnovTest
Calculates P(D_n < d) using method described in [1] with quick decisions for extreme values given in [2] (see above).
cdfExact(double, int) - Method in class org.hipparchus.stat.inference.KolmogorovSmirnovTest
Calculates P(D_n < d).
ceil() - Method in class org.hipparchus.analysis.differentiation.DerivativeStructure
Get the smallest whole number larger than instance.
ceil() - Method in class org.hipparchus.analysis.differentiation.FieldDerivativeStructure
Get the smallest whole number larger than instance.
ceil() - Method in class org.hipparchus.analysis.differentiation.SparseGradient
Get the smallest whole number larger than instance.
ceil() - Method in class org.hipparchus.dfp.Dfp
Round to an integer using the round ceil mode.
ceil() - Method in interface org.hipparchus.RealFieldElement
Get the smallest whole number larger than instance.
ceil() - Method in class org.hipparchus.util.Decimal64
Get the smallest whole number larger than instance.
ceil() - Method in class org.hipparchus.util.FieldTuple
Get the smallest whole number larger than instance.
ceil() - Method in class org.hipparchus.util.Tuple
Get the smallest whole number larger than instance.
ceil(double) - Static method in class org.hipparchus.util.FastMath
Get the smallest whole number larger than x.
ceil(T) - Static method in class org.hipparchus.util.FastMath
Get the smallest whole number larger than x.
Ceil - Class in org.hipparchus.analysis.function
ceil function.
Ceil() - Constructor for class org.hipparchus.analysis.function.Ceil
 
CENTRAL - org.hipparchus.util.PivotingStrategy
A mid point strategy based on the average of begin and end indices.
CentroidCluster<T extends Clusterable> - Class in org.hipparchus.clustering
A Cluster used by centroid-based clustering algorithms.
CentroidCluster(Clusterable) - Constructor for class org.hipparchus.clustering.CentroidCluster
Build a cluster centered at a specified point.
centroidOf(Cluster<T>) - Method in class org.hipparchus.clustering.evaluation.ClusterEvaluator
Computes the centroid for a cluster.
ChebyshevDistance - Class in org.hipparchus.clustering.distance
Calculates the L (max of abs) distance between two points.
ChebyshevDistance() - Constructor for class org.hipparchus.clustering.distance.ChebyshevDistance
 
checkAdditionCompatible(AnyMatrix, AnyMatrix) - Static method in class org.hipparchus.linear.MatrixUtils
Check if matrices are addition compatible.
checkAdditionCompatible(FieldMatrix<T>) - Method in class org.hipparchus.linear.AbstractFieldMatrix
Check if a matrix is addition compatible with the instance.
checkAndNormalize(double[]) - Static method in class org.hipparchus.distribution.EnumeratedDistribution
Checks to make sure that weights is neither null nor empty and contains only non-negative, finite, non-NaN values and if necessary normalizes it to sum to 1.
checkBinomial(int, int) - Static method in class org.hipparchus.util.CombinatoricsUtils
Check binomial preconditions.
checkColumnIndex(int) - Method in class org.hipparchus.linear.AbstractFieldMatrix
Check if a column index is valid.
checkColumnIndex(AnyMatrix, int) - Static method in class org.hipparchus.linear.MatrixUtils
Check if a column index is valid.
checkCompatibility(DSCompiler) - Method in class org.hipparchus.analysis.differentiation.DSCompiler
Check rules set compatibility.
checkContractExpand(double, double) - Method in class org.hipparchus.util.ResizableDoubleArray
Checks the expansion factor and the contraction criterion and raises an exception if the contraction criterion is smaller than the expansion criterion.
checkDefinition(RealMatrix) - Method in class org.hipparchus.linear.ComplexEigenDecomposition
Check definition of the decomposition in runtime.
checkDimension(int, int) - Static method in class org.hipparchus.util.MathUtils
Checks that the given dimensions match.
checkEqualLength(double[], double[]) - Static method in class org.hipparchus.util.MathArrays
Check that both arrays have the same length.
checkEqualLength(double[], double[], boolean) - Static method in class org.hipparchus.util.MathArrays
Check that both arrays have the same length.
checkEqualLength(int[], int[]) - Static method in class org.hipparchus.util.MathArrays
Check that both arrays have the same length.
checkEqualLength(int[], int[], boolean) - Static method in class org.hipparchus.util.MathArrays
Check that both arrays have the same length.
checker(ConvergenceChecker<LeastSquaresProblem.Evaluation>) - Method in class org.hipparchus.optim.nonlinear.vector.leastsquares.LeastSquaresBuilder
Configure the convergence checker.
checkerPair(ConvergenceChecker<PointVectorValuePair>) - Method in class org.hipparchus.optim.nonlinear.vector.leastsquares.LeastSquaresBuilder
Configure the convergence checker.
checkFinite(double) - Static method in class org.hipparchus.util.MathUtils
Check that the argument is a real number.
checkFinite(double[]) - Static method in class org.hipparchus.util.MathUtils
Check that all the elements are real numbers.
checkIndex(int) - Method in class org.hipparchus.linear.RealVector
Check if an index is valid.
checkIndices(int, int) - Method in class org.hipparchus.linear.RealVector
Checks that the indices of a subvector are valid.
checkMatrixIndex(AnyMatrix, int, int) - Static method in class org.hipparchus.linear.MatrixUtils
Check if matrix indices are valid.
checkMultiplicationCompatible(AnyMatrix, AnyMatrix) - Static method in class org.hipparchus.linear.MatrixUtils
Check if matrices are multiplication compatible
checkMultiplicationCompatible(FieldMatrix<T>) - Method in class org.hipparchus.linear.AbstractFieldMatrix
Check if a matrix is multiplication compatible with the instance.
checkNonNegative(long[]) - Static method in class org.hipparchus.util.MathArrays
Check that all entries of the input array are >= 0.
checkNonNegative(long[][]) - Static method in class org.hipparchus.util.MathArrays
Check all entries of the input array are >= 0.
checkNotNaN(double[]) - Static method in class org.hipparchus.util.MathArrays
Check that no entry of the input array is NaN.
checkNotNull(Object) - Static method in class org.hipparchus.util.MathUtils
Checks that an object is not null.
checkNotNull(Object, Localizable, Object...) - Static method in class org.hipparchus.util.MathUtils
Checks that an object is not null.
checkOrder(double[]) - Static method in class org.hipparchus.util.MathArrays
Check that the given array is sorted in strictly increasing order.
checkOrder(double[], MathArrays.OrderDirection, boolean) - Static method in class org.hipparchus.util.MathArrays
Check that the given array is sorted.
checkOrder(double[], MathArrays.OrderDirection, boolean, boolean) - Static method in class org.hipparchus.util.MathArrays
Check that the given array is sorted.
checkParameters(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Static method in class org.hipparchus.linear.PreconditionedIterativeLinearSolver
Performs all dimension checks on the parameters of solve and solveInPlace, and throws an exception if one of the checks fails.
checkParameters(RealLinearOperator, RealVector, RealVector) - Static method in class org.hipparchus.linear.IterativeLinearSolver
Performs all dimension checks on the parameters of solve and solveInPlace, and throws an exception if one of the checks fails.
checkPoint(double) - Method in class org.hipparchus.geometry.spherical.oned.Arc
Check a point with respect to the arc.
checkPoint(double, double) - Method in class org.hipparchus.geometry.euclidean.oned.Interval
Check a point with respect to the interval.
checkPoint(BSPTree<S>, Point<S>) - Method in class org.hipparchus.geometry.partitioning.AbstractRegion
Check a point with respect to the region starting at a given node.
checkPoint(BSPTree<S>, Vector<S>) - Method in class org.hipparchus.geometry.partitioning.AbstractRegion
Check a point with respect to the region starting at a given node.
checkPoint(Point<S>) - Method in class org.hipparchus.geometry.partitioning.AbstractRegion
Check a point with respect to the region.
checkPoint(Point<S>) - Method in interface org.hipparchus.geometry.partitioning.Region
Check a point with respect to the region.
checkPoint(Vector<S>) - Method in class org.hipparchus.geometry.partitioning.AbstractRegion
Check a point with respect to the region.
checkPositive(double[]) - Static method in class org.hipparchus.util.MathArrays
Check that all entries of the input array are strictly positive.
checkRangeInclusive(double, double, double) - Static method in class org.hipparchus.util.MathUtils
Checks that the given value is strictly within the range [lo, hi].
checkRangeInclusive(long, long, long) - Static method in class org.hipparchus.util.MathUtils
Checks that the given value is strictly within the range [lo, hi].
checkRectangular(long[][]) - Static method in class org.hipparchus.util.MathArrays
Throws MathIllegalArgumentException if the input array is not rectangular.
checkRowIndex(int) - Method in class org.hipparchus.linear.AbstractFieldMatrix
Check if a row index is valid.
checkRowIndex(AnyMatrix, int) - Static method in class org.hipparchus.linear.MatrixUtils
Check if a row index is valid.
checkSameColumnDimension(AnyMatrix, AnyMatrix) - Static method in class org.hipparchus.linear.MatrixUtils
Check if matrices have the same number of columns.
checkSameRowDimension(AnyMatrix, AnyMatrix) - Static method in class org.hipparchus.linear.MatrixUtils
Check if matrices have the same number of rows.
checkSubMatrixIndex(int[], int[]) - Method in class org.hipparchus.linear.AbstractFieldMatrix
Check if submatrix ranges indices are valid.
checkSubMatrixIndex(int, int, int, int) - Method in class org.hipparchus.linear.AbstractFieldMatrix
Check if submatrix ranges indices are valid.
checkSubMatrixIndex(AnyMatrix, int[], int[]) - Static method in class org.hipparchus.linear.MatrixUtils
Check if submatrix ranges indices are valid.
checkSubMatrixIndex(AnyMatrix, int, int, int, int) - Static method in class org.hipparchus.linear.MatrixUtils
Check if submatrix ranges indices are valid.
checkSubtractionCompatible(AnyMatrix, AnyMatrix) - Static method in class org.hipparchus.linear.MatrixUtils
Check if matrices are subtraction compatible
checkSubtractionCompatible(FieldMatrix<T>) - Method in class org.hipparchus.linear.AbstractFieldMatrix
Check if a matrix is subtraction compatible with the instance.
checkSymmetric(RealMatrix, double) - Static method in class org.hipparchus.linear.MatrixUtils
Checks whether a matrix is symmetric.
checkTolerance(double) - Static method in class org.hipparchus.geometry.spherical.oned.Sphere1D
Check tolerance against Sphere1D.SMALLEST_TOLERANCE.
checkTolerance(double) - Static method in class org.hipparchus.geometry.spherical.twod.Sphere2D
Check tolerance against Sphere2D.SMALLEST_TOLERANCE.
checkVectorDimensions(int) - Method in class org.hipparchus.linear.ArrayFieldVector
Check if instance dimension is equal to some expected value.
checkVectorDimensions(int) - Method in class org.hipparchus.linear.ArrayRealVector
Check if instance dimension is equal to some expected value.
checkVectorDimensions(int) - Method in class org.hipparchus.linear.RealVector
Check if instance dimension is equal to some expected value.
checkVectorDimensions(int) - Method in class org.hipparchus.linear.SparseFieldVector
Check if instance dimension is equal to some expected value.
checkVectorDimensions(FieldVector<T>) - Method in class org.hipparchus.linear.ArrayFieldVector
Check if instance and specified vectors have the same dimension.
checkVectorDimensions(RealVector) - Method in class org.hipparchus.linear.ArrayRealVector
Check if instance and specified vectors have the same dimension.
checkVectorDimensions(RealVector) - Method in class org.hipparchus.linear.RealVector
Check if instance and specified vectors have the same dimension.
chiSquare(double[], long[]) - Method in class org.hipparchus.stat.inference.ChiSquareTest
Computes the Chi-Square statistic comparing observed and expected frequency counts.
chiSquare(double[], long[]) - Static method in class org.hipparchus.stat.inference.InferenceTestUtils
 
chiSquare(long[][]) - Method in class org.hipparchus.stat.inference.ChiSquareTest
Computes the Chi-Square statistic associated with a chi-square test of independence based on the input counts array, viewed as a two-way table.
chiSquare(long[][]) - Static method in class org.hipparchus.stat.inference.InferenceTestUtils
 
chiSquareDataSetsComparison(long[], long[]) - Method in class org.hipparchus.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.hipparchus.stat.inference.InferenceTestUtils
 
ChiSquaredDistribution - Class in org.hipparchus.distribution.continuous
Implementation of the chi-squared distribution.
ChiSquaredDistribution(double) - Constructor for class org.hipparchus.distribution.continuous.ChiSquaredDistribution
Create a Chi-Squared distribution with the given degrees of freedom.
ChiSquaredDistribution(double, double) - Constructor for class org.hipparchus.distribution.continuous.ChiSquaredDistribution
Create a Chi-Squared distribution with the given degrees of freedom and inverse cumulative probability accuracy.
chiSquareTest(double[], long[]) - Method in class org.hipparchus.stat.inference.ChiSquareTest
Returns the observed significance level, or p-value, associated with a Chi-square goodness of fit test comparing the observed frequency counts to those in the expected array.
chiSquareTest(double[], long[]) - Static method in class org.hipparchus.stat.inference.InferenceTestUtils
 
chiSquareTest(double[], long[], double) - Method in class org.hipparchus.stat.inference.ChiSquareTest
Performs a Chi-square goodness of fit test evaluating the null hypothesis that the observed counts conform to the frequency distribution described by the expected counts, with significance level alpha.
chiSquareTest(double[], long[], double) - Static method in class org.hipparchus.stat.inference.InferenceTestUtils
 
chiSquareTest(long[][]) - Method in class org.hipparchus.stat.inference.ChiSquareTest
Returns the observed significance level, or p-value, associated with a chi-square test of independence based on the input counts array, viewed as a two-way table.
chiSquareTest(long[][]) - Static method in class org.hipparchus.stat.inference.InferenceTestUtils
 
chiSquareTest(long[][], double) - Method in class org.hipparchus.stat.inference.ChiSquareTest
Performs a chi-square test of independence evaluating the null hypothesis that the classifications represented by the counts in the columns of the input 2-way table are independent of the rows, with significance level alpha.
chiSquareTest(long[][], double) - Static method in class org.hipparchus.stat.inference.InferenceTestUtils
 
ChiSquareTest - Class in org.hipparchus.stat.inference
Implements Chi-Square test statistics.
ChiSquareTest() - Constructor for class org.hipparchus.stat.inference.ChiSquareTest
 
chiSquareTestDataSetsComparison(long[], long[]) - Method in class org.hipparchus.stat.inference.ChiSquareTest
Returns the observed significance level, or p-value, associated with a Chi-Square two sample test comparing bin frequency counts in observed1 and observed2.
chiSquareTestDataSetsComparison(long[], long[]) - Static method in class org.hipparchus.stat.inference.InferenceTestUtils
 
chiSquareTestDataSetsComparison(long[], long[], double) - Method in class org.hipparchus.stat.inference.ChiSquareTest
Performs a Chi-Square two sample test comparing two binned data sets.
chiSquareTestDataSetsComparison(long[], long[], double) - Static method in class org.hipparchus.stat.inference.InferenceTestUtils
 
CHOLESKY - org.hipparchus.optim.nonlinear.vector.leastsquares.GaussNewtonOptimizer.Decomposition
Deprecated.
Solve by forming the normal equations (JTJx=JTr) and using the CholeskyDecomposition.
CholeskyDecomposer - Class in org.hipparchus.linear
Matrix decomposer using Cholseky decomposition.
CholeskyDecomposer(double, double) - Constructor for class org.hipparchus.linear.CholeskyDecomposer
Creates a Cholesky decomposer with specify threshold for several matrices.
CholeskyDecomposition - Class in org.hipparchus.linear
Calculates the Cholesky decomposition of a matrix.
CholeskyDecomposition(RealMatrix) - Constructor for class org.hipparchus.linear.CholeskyDecomposition
Calculates the Cholesky decomposition of the given matrix.
CholeskyDecomposition(RealMatrix, double, double) - Constructor for class org.hipparchus.linear.CholeskyDecomposition
Calculates the Cholesky decomposition of the given matrix.
Circle - Class in org.hipparchus.geometry.spherical.twod
This class represents an oriented great circle on the 2-sphere.
Circle(Vector3D, double) - Constructor for class org.hipparchus.geometry.spherical.twod.Circle
Build a great circle from its pole.
Circle(Circle) - Constructor for class org.hipparchus.geometry.spherical.twod.Circle
Copy constructor.
Circle(S2Point, S2Point, double) - Constructor for class org.hipparchus.geometry.spherical.twod.Circle
Build a great circle from two non-aligned points.
CLASS_DOESNT_IMPLEMENT_COMPARABLE - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
CLASS_DOESNT_IMPLEMENT_COMPARABLE - org.hipparchus.migration.LocalizedMigrationFormats
Deprecated.
 
ClassicalRungeKuttaFieldIntegrator<T extends RealFieldElement<T>> - Class in org.hipparchus.ode.nonstiff
This class implements the classical fourth order Runge-Kutta integrator for Ordinary Differential Equations (it is the most often used Runge-Kutta method).
ClassicalRungeKuttaFieldIntegrator(Field<T>, T) - Constructor for class org.hipparchus.ode.nonstiff.ClassicalRungeKuttaFieldIntegrator
Simple constructor.
ClassicalRungeKuttaIntegrator - Class in org.hipparchus.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.hipparchus.ode.nonstiff.ClassicalRungeKuttaIntegrator
Simple constructor.
classify() - Method in class org.hipparchus.dfp.Dfp
Returns the type - one of FINITE, INFINITE, SNAN, QNAN.
clear() - Method in class org.hipparchus.fitting.WeightedObservedPoints
Removes all observations from this container.
clear() - Method in class org.hipparchus.optim.BaseMultiStartMultivariateOptimizer
Method that will called in order to clear all stored optima.
clear() - Method in class org.hipparchus.optim.nonlinear.scalar.MultiStartMultivariateOptimizer
Method that will called in order to clear all stored optima.
clear() - Method in class org.hipparchus.stat.descriptive.AbstractStorelessUnivariateStatistic
Clears the internal state of the Statistic
clear() - Method in class org.hipparchus.stat.descriptive.DescriptiveStatistics
Resets all statistics and storage.
clear() - Method in class org.hipparchus.stat.descriptive.moment.GeometricMean
Clears the internal state of the Statistic
clear() - Method in class org.hipparchus.stat.descriptive.moment.Kurtosis
Clears the internal state of the Statistic
clear() - Method in class org.hipparchus.stat.descriptive.moment.Mean
Clears the internal state of the Statistic
clear() - Method in class org.hipparchus.stat.descriptive.moment.SecondMoment
Clears the internal state of the Statistic
clear() - Method in class org.hipparchus.stat.descriptive.moment.Skewness
Clears the internal state of the Statistic
clear() - Method in class org.hipparchus.stat.descriptive.moment.StandardDeviation
Clears the internal state of the Statistic
clear() - Method in class org.hipparchus.stat.descriptive.moment.Variance
Clears the internal state of the Statistic
clear() - Method in class org.hipparchus.stat.descriptive.MultivariateSummaryStatistics
Resets all statistics and storage.
clear() - Method in class org.hipparchus.stat.descriptive.rank.Max
Clears the internal state of the Statistic
clear() - Method in class org.hipparchus.stat.descriptive.rank.Min
Clears the internal state of the Statistic
clear() - Method in class org.hipparchus.stat.descriptive.rank.PSquarePercentile
Clears the internal state of the Statistic
clear() - Method in class org.hipparchus.stat.descriptive.rank.RandomPercentile
 
clear() - Method in interface org.hipparchus.stat.descriptive.StorelessMultivariateStatistic
Clears the internal state of the statistic.
clear() - Method in interface org.hipparchus.stat.descriptive.StorelessUnivariateStatistic
Clears the internal state of the Statistic
clear() - Method in class org.hipparchus.stat.descriptive.StreamingStatistics
Resets all statistics and storage.
clear() - Method in class org.hipparchus.stat.descriptive.summary.Product
Clears the internal state of the Statistic
clear() - Method in class org.hipparchus.stat.descriptive.summary.Sum
Clears the internal state of the Statistic
clear() - Method in class org.hipparchus.stat.descriptive.summary.SumOfLogs
Clears the internal state of the Statistic
clear() - Method in class org.hipparchus.stat.descriptive.summary.SumOfSquares
Clears the internal state of the Statistic
clear() - Method in class org.hipparchus.stat.descriptive.vector.VectorialCovariance
Clears the internal state of the Statistic
clear() - Method in class org.hipparchus.stat.descriptive.vector.VectorialStorelessStatistic
Clears the internal state of the statistic.
clear() - Method in class org.hipparchus.stat.Frequency
Clears the frequency table
clear() - Method in class org.hipparchus.stat.regression.MillerUpdatingRegression
As the name suggests, clear wipes the internals and reorders everything in the canonical order.
clear() - Method in class org.hipparchus.stat.regression.SimpleRegression
Clears all data from the model.
clear() - Method in interface org.hipparchus.stat.regression.UpdatingMultipleLinearRegression
Clears internal buffers and resets the regression model.
clear() - Method in class org.hipparchus.util.ResizableDoubleArray
Clear the array contents, resetting the number of elements to zero.
clearEventHandlers() - Method in class org.hipparchus.ode.AbstractFieldIntegrator
Remove all the event handlers that have been added to the integrator.
clearEventHandlers() - Method in class org.hipparchus.ode.AbstractIntegrator
Remove all the event handlers that have been added to the integrator.
clearEventHandlers() - Method in interface org.hipparchus.ode.FieldODEIntegrator
Remove all the event handlers that have been added to the integrator.
clearEventHandlers() - Method in interface org.hipparchus.ode.ODEIntegrator
Remove all the event handlers that have been added to the integrator.
clearIEEEFlags() - Method in class org.hipparchus.dfp.DfpField
Clears the IEEE 854 status flags.
clearStepHandlers() - Method in class org.hipparchus.ode.AbstractFieldIntegrator
Remove all the step handlers that have been added to the integrator.
clearStepHandlers() - Method in class org.hipparchus.ode.AbstractIntegrator
Remove all the step handlers that have been added to the integrator.
clearStepHandlers() - Method in interface org.hipparchus.ode.FieldODEIntegrator
Remove all the step handlers that have been added to the integrator.
clearStepHandlers() - Method in interface org.hipparchus.ode.ODEIntegrator
Remove all the step handlers that have been added to the integrator.
CLOSE_VERTICES - org.hipparchus.geometry.LocalizedGeometryFormats
 
CLOSE_VERTICES - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
CLOSEST_ORTHOGONAL_MATRIX_HAS_NEGATIVE_DETERMINANT - org.hipparchus.geometry.LocalizedGeometryFormats
 
CLOSEST_ORTHOGONAL_MATRIX_HAS_NEGATIVE_DETERMINANT - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
closestPoint(FieldLine<T>) - Method in class org.hipparchus.geometry.euclidean.threed.FieldLine
Compute the point of the instance closest to another line.
closestPoint(Line) - Method in class org.hipparchus.geometry.euclidean.threed.Line
Compute the point of the instance closest to another line.
cluster(Collection<T>) - Method in class org.hipparchus.clustering.Clusterer
Perform a cluster analysis on the given set of Clusterable instances.
cluster(Collection<T>) - Method in class org.hipparchus.clustering.DBSCANClusterer
Performs DBSCAN cluster analysis.
cluster(Collection<T>) - Method in class org.hipparchus.clustering.FuzzyKMeansClusterer
Performs Fuzzy K-Means cluster analysis.
cluster(Collection<T>) - Method in class org.hipparchus.clustering.KMeansPlusPlusClusterer
Runs the K-means++ clustering algorithm.
cluster(Collection<T>) - Method in class org.hipparchus.clustering.MultiKMeansPlusPlusClusterer
Runs the K-means++ clustering algorithm.
Cluster<T extends Clusterable> - Class in org.hipparchus.clustering
Cluster holding a set of Clusterable points.
Cluster() - Constructor for class org.hipparchus.clustering.Cluster
Build a cluster centered at a specified point.
Clusterable - Interface in org.hipparchus.clustering
Interface for n-dimensional points that can be clustered together.
ClusterAlgorithmComparison - Class in org.hipparchus.samples
Plots clustering results for various algorithms and datasets.
ClusterAlgorithmComparison() - Constructor for class org.hipparchus.samples.ClusterAlgorithmComparison
 
ClusterAlgorithmComparison.ClusterPlot - Class in org.hipparchus.samples
 
ClusterAlgorithmComparison.Display - Class in org.hipparchus.samples
 
Clusterer<T extends Clusterable> - Class in org.hipparchus.clustering
Base class for clustering algorithms.
Clusterer(DistanceMeasure) - Constructor for class org.hipparchus.clustering.Clusterer
Build a new clusterer with the given DistanceMeasure.
ClusterEvaluator<T extends Clusterable> - Class in org.hipparchus.clustering.evaluation
Base class for cluster evaluation methods.
ClusterEvaluator() - Constructor for class org.hipparchus.clustering.evaluation.ClusterEvaluator
Creates a new cluster evaluator with an EuclideanDistance as distance measure.
ClusterEvaluator(DistanceMeasure) - Constructor for class org.hipparchus.clustering.evaluation.ClusterEvaluator
Creates a new cluster evaluator with the given distance measure.
ClusterPlot(List<? extends Cluster<DoublePoint>>, long) - Constructor for class org.hipparchus.samples.ClusterAlgorithmComparison.ClusterPlot
 
CMAESOptimizer - Class in org.hipparchus.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.hipparchus.optim.nonlinear.scalar.noderiv.CMAESOptimizer
 
CMAESOptimizer.PopulationSize - Class in org.hipparchus.optim.nonlinear.scalar.noderiv
Population size.
CMAESOptimizer.Sigma - Class in org.hipparchus.optim.nonlinear.scalar.noderiv
Input sigma values.
collector(BivariateFunction, double) - Static method in class org.hipparchus.analysis.FunctionUtils
Returns a MultivariateFunction h(x[]) defined by
collector(BivariateFunction, UnivariateFunction, double) - Static method in class org.hipparchus.analysis.FunctionUtils
Returns a MultivariateFunction h(x[]) defined by
COLUMN_INDEX - org.hipparchus.exception.LocalizedCoreFormats
 
COLUMN_INDEX - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
COLUMN_INDEX_OUT_OF_RANGE - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
COLUMN_INDEX_OUT_OF_RANGE - org.hipparchus.migration.LocalizedMigrationFormats
Deprecated.
 
Combinations - Class in org.hipparchus.util
Utility to create combinations (n, k) of k elements in a set of n elements.
Combinations(int, int) - Constructor for class org.hipparchus.util.Combinations
Creates an instance whose range is the k-element subsets of {0, ..., n - 1} represented as int[] arrays.
combinationsIterator(int, int) - Static method in class org.hipparchus.util.CombinatoricsUtils
Returns an iterator whose range is the k-element subsets of {0, ..., n - 1} represented as int[] arrays.
CombinatoricsUtils - Class in org.hipparchus.util
Combinatorial utilities.
CombinatoricsUtils.FactorialLog - Class in org.hipparchus.util
Class for computing the natural logarithm of the factorial of n.
combine(double, double, RealVector) - Method in class org.hipparchus.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.hipparchus.linear.RealVector
Returns a new vector representing a * this + b * y, the linear combination of this and y.
combine(BivariateFunction, UnivariateFunction, UnivariateFunction) - Static method in class org.hipparchus.analysis.FunctionUtils
Returns the univariate function h(x) = combiner(f(x), g(x)).
combineToSelf(double, double, RealVector) - Method in class org.hipparchus.linear.ArrayRealVector
Updates this with the linear combination of this and y.
combineToSelf(double, double, RealVector) - Method in class org.hipparchus.linear.RealVector
Updates this with the linear combination of this and y.
comparator() - Method in class org.hipparchus.util.Combinations
Defines a lexicographic ordering of combinations.
compare(Complex, Complex) - Method in class org.hipparchus.complex.ComplexComparator
Compare two complex numbers, using real ordering as the primary sort order and imaginary ordering as the secondary sort order.
compareTo(double, double, double) - Static method in class org.hipparchus.util.Precision
Compares two numbers given some amount of allowed error.
compareTo(double, double, int) - Static method in class org.hipparchus.util.Precision
Compares two numbers given some amount of allowed error.
compareTo(BigFraction) - Method in class org.hipparchus.fraction.BigFraction
Compares this object to another based on size.
compareTo(Fraction) - Method in class org.hipparchus.fraction.Fraction
Compares this object to another based on size.
compareTo(BigReal) - Method in class org.hipparchus.util.BigReal
compareTo(Decimal64) - Method in class org.hipparchus.util.Decimal64
The current implementation returns the same value as new Double(this.doubleValue()).compareTo(new Double(o.doubleValue()))
complainIfNotSupported(String) - Method in class org.hipparchus.ode.AbstractParameterizable
Check if a parameter is supported and throw an IllegalArgumentException if not.
complement(int) - Method in class org.hipparchus.dfp.Dfp
Negate the mantissa of this by computing the complement.
Complex - Class in org.hipparchus.complex
Representation of a Complex number, i.e.
Complex(double) - Constructor for class org.hipparchus.complex.Complex
Create a complex number given only the real part.
Complex(double, double) - Constructor for class org.hipparchus.complex.Complex
Create a complex number given the real and imaginary parts.
COMPLEX_CANNOT_BE_CONSIDERED_A_REAL_NUMBER - org.hipparchus.exception.LocalizedCoreFormats
 
ComplexComparator - Class in org.hipparchus.complex
Comparator for Complex Numbers.
ComplexComparator() - Constructor for class org.hipparchus.complex.ComplexComparator
 
ComplexEigenDecomposition - Class in org.hipparchus.linear
Given a matrix A, it computes a complex eigen decomposition A = VDV^{T}.
ComplexEigenDecomposition(RealMatrix) - Constructor for class org.hipparchus.linear.ComplexEigenDecomposition
Constructor for decomposition.
ComplexField - Class in org.hipparchus.complex
Representation of the complex numbers field.
ComplexFormat - Class in org.hipparchus.complex
Formats a Complex number in cartesian format "Re(c) + Im(c)i".
ComplexFormat() - Constructor for class org.hipparchus.complex.ComplexFormat
Create an instance with the default imaginary character, 'i', and the default number format for both real and imaginary parts.
ComplexFormat(String) - Constructor for class org.hipparchus.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.hipparchus.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.hipparchus.complex.ComplexFormat
Create an instance with a custom imaginary character, a custom number format for the real part, and a custom number format for the imaginary part.
ComplexFormat(NumberFormat) - Constructor for class org.hipparchus.complex.ComplexFormat
Create an instance with a custom number format for both real and imaginary parts.
ComplexFormat(NumberFormat, NumberFormat) - Constructor for class org.hipparchus.complex.ComplexFormat
Create an instance with a custom number format for the real part and a custom number format for the imaginary part.
ComplexODEConverter - Class in org.hipparchus.ode
ComplexODEConverter() - Constructor for class org.hipparchus.ode.ComplexODEConverter
 
ComplexODEState - Class in org.hipparchus.ode
Container for time, main and secondary state vectors.
ComplexODEState(double, Complex[]) - Constructor for class org.hipparchus.ode.ComplexODEState
Simple constructor.
ComplexODEState(double, Complex[], Complex[][]) - Constructor for class org.hipparchus.ode.ComplexODEState
Simple constructor.
ComplexODEStateAndDerivative - Class in org.hipparchus.ode
Container for time, main and secondary state vectors as well as their derivatives.
ComplexODEStateAndDerivative(double, Complex[], Complex[]) - Constructor for class org.hipparchus.ode.ComplexODEStateAndDerivative
Simple constructor.
ComplexODEStateAndDerivative(double, Complex[], Complex[], Complex[][], Complex[][]) - Constructor for class org.hipparchus.ode.ComplexODEStateAndDerivative
Simple constructor.
ComplexOrdinaryDifferentialEquation - Interface in org.hipparchus.ode
This interface represents a first order differential equations set for complex state.
ComplexSecondaryODE - Interface in org.hipparchus.ode
This interface allows users to add secondary differential equations to a primary set of differential equations.
ComplexUtils - Class in org.hipparchus.complex
Static implementations of common Complex utilities functions.
compose(double...) - Method in class org.hipparchus.analysis.differentiation.DerivativeStructure
Compute composition of the instance by a univariate function.
compose(double...) - Method in class org.hipparchus.analysis.differentiation.FieldDerivativeStructure
Compute composition of the instance by a univariate function.
compose(double[], int, double[], double[], int) - Method in class org.hipparchus.analysis.differentiation.DSCompiler
Compute composition of a derivative structure by a function.
compose(double, double) - Method in class org.hipparchus.analysis.differentiation.SparseGradient
Compute composition of the instance by a univariate function.
compose(UnivariateDifferentiableFunction...) - Static method in class org.hipparchus.analysis.FunctionUtils
Composes functions.
compose(UnivariateFunction...) - Static method in class org.hipparchus.analysis.FunctionUtils
Composes functions.
compose(FieldRotation<T>, RotationConvention) - Method in class org.hipparchus.geometry.euclidean.threed.FieldRotation
Compose the instance with another rotation.
compose(Rotation, RotationConvention) - Method in class org.hipparchus.geometry.euclidean.threed.FieldRotation
Compose the instance with another rotation.
compose(Rotation, RotationConvention) - Method in class org.hipparchus.geometry.euclidean.threed.Rotation
Compose the instance with another rotation.
compose(T...) - Method in class org.hipparchus.analysis.differentiation.FieldDerivativeStructure
Compute composition of the instance by a univariate function.
compose(T[], int, double[], T[], int) - Method in class org.hipparchus.analysis.differentiation.DSCompiler
Compute composition of a derivative structure by a function.
compose(T[], int, T[], T[], int) - Method in class org.hipparchus.analysis.differentiation.DSCompiler
Compute composition of a derivative structure by a function.
composeInverse(FieldRotation<T>, RotationConvention) - Method in class org.hipparchus.geometry.euclidean.threed.FieldRotation
Compose the inverse of the instance with another rotation.
composeInverse(Rotation, RotationConvention) - Method in class org.hipparchus.geometry.euclidean.threed.FieldRotation
Compose the inverse of the instance with another rotation.
composeInverse(Rotation, RotationConvention) - Method in class org.hipparchus.geometry.euclidean.threed.Rotation
Compose the inverse of the instance with another rotation.
CompositeFormat - Class in org.hipparchus.util
Base class for formatters of composite objects (complex numbers, vectors ...).
compute(double[], double[]) - Method in class org.hipparchus.clustering.distance.CanberraDistance
Compute the distance between two n-dimensional vectors.
compute(double[], double[]) - Method in class org.hipparchus.clustering.distance.ChebyshevDistance
Compute the distance between two n-dimensional vectors.
compute(double[], double[]) - Method in interface org.hipparchus.clustering.distance.DistanceMeasure
Compute the distance between two n-dimensional vectors.
compute(double[], double[]) - Method in class org.hipparchus.clustering.distance.EarthMoversDistance
Compute the distance between two n-dimensional vectors.
compute(double[], double[]) - Method in class org.hipparchus.clustering.distance.EuclideanDistance
Compute the distance between two n-dimensional vectors.
compute(double[], double[]) - Method in class org.hipparchus.clustering.distance.ManhattanDistance
Compute the distance between two n-dimensional vectors.
compute(MathArrays.Function) - Method in class org.hipparchus.util.ResizableDoubleArray
Performs an operation on the addressable elements of the array.
computeCoefficients() - Method in class org.hipparchus.analysis.polynomials.PolynomialFunctionLagrangeForm
Calculate the coefficients of Lagrange polynomial from the interpolation data.
computeCoefficients() - Method in class org.hipparchus.analysis.polynomials.PolynomialFunctionNewtonForm
Calculate the normal polynomial coefficients given the Newton form.
computeCorrelationMatrix(double[][]) - Method in class org.hipparchus.stat.correlation.KendallsCorrelation
Computes the Kendall's Tau rank correlation matrix for the columns of the input rectangular array.
computeCorrelationMatrix(double[][]) - Method in class org.hipparchus.stat.correlation.PearsonsCorrelation
Computes the correlation matrix for the columns of the input rectangular array.
computeCorrelationMatrix(double[][]) - Method in class org.hipparchus.stat.correlation.SpearmansCorrelation
Computes the Spearman's rank correlation matrix for the columns of the input rectangular array.
computeCorrelationMatrix(RealMatrix) - Method in class org.hipparchus.stat.correlation.KendallsCorrelation
Computes the Kendall's Tau rank correlation matrix for the columns of the input matrix.
computeCorrelationMatrix(RealMatrix) - Method in class org.hipparchus.stat.correlation.PearsonsCorrelation
Computes the correlation matrix for the columns of the input matrix, using PearsonsCorrelation.correlation(double[], double[]).
computeCorrelationMatrix(RealMatrix) - Method in class org.hipparchus.stat.correlation.SpearmansCorrelation
Computes the Spearman's rank correlation matrix for the columns of the input matrix.
computeCovarianceMatrix(double[][]) - Method in class org.hipparchus.stat.correlation.Covariance
Create a covariance matrix from a rectangular array whose columns represent covariates.
computeCovarianceMatrix(double[][], boolean) - Method in class org.hipparchus.stat.correlation.Covariance
Compute a covariance matrix from a rectangular array whose columns represent covariates.
computeCovarianceMatrix(RealMatrix) - Method in class org.hipparchus.stat.correlation.Covariance
Create a covariance matrix from a matrix whose columns represent covariates.
computeCovarianceMatrix(RealMatrix, boolean) - Method in class org.hipparchus.stat.correlation.Covariance
Compute a covariance matrix from a matrix whose columns represent covariates.
computeDerivatives(double, double[]) - Method in interface org.hipparchus.migration.ode.FirstOrderDifferentialEquations
Deprecated.
Get the current time derivative of the state vector.
computeDerivatives(double, double[]) - Method in class org.hipparchus.ode.AbstractIntegrator
Compute the derivatives and check the number of evaluations.
computeDerivatives(double, double[]) - Method in class org.hipparchus.ode.ExpandableODE
Get the current time derivative of the complete state vector.
computeDerivatives(double, double[]) - Method in class org.hipparchus.ode.FirstOrderConverter
Get the current time derivative of the state vector.
computeDerivatives(double, double[]) - Method in interface org.hipparchus.ode.OrdinaryDifferentialEquation
Get the current time derivative of the state vector.
computeDerivatives(double, double[], double[]) - Method in interface org.hipparchus.migration.ode.FirstOrderDifferentialEquations
Deprecated.
Get the current time derivative of the state vector.
computeDerivatives(double, double[], double[], double[]) - Method in interface org.hipparchus.migration.ode.SecondaryEquations
Deprecated.
Compute the derivatives related to the secondary state parameters.
computeDerivatives(double, double[], double[], double[]) - Method in interface org.hipparchus.ode.SecondaryODE
Compute the derivatives related to the secondary state parameters.
computeDerivatives(double, double[], double[], double[], double[]) - Method in interface org.hipparchus.migration.ode.SecondaryEquations
Deprecated.
Compute the derivatives related to the secondary state parameters.
computeDerivatives(double, Complex[]) - Method in interface org.hipparchus.ode.ComplexOrdinaryDifferentialEquation
Get the current time derivative of the state vector.
computeDerivatives(double, Complex[], Complex[], Complex[]) - Method in interface org.hipparchus.ode.ComplexSecondaryODE
Compute the derivatives related to the secondary state parameters.
computeDerivatives(T, T[]) - Method in class org.hipparchus.ode.AbstractFieldIntegrator
Compute the derivatives and check the number of evaluations.
computeDerivatives(T, T[]) - Method in class org.hipparchus.ode.FieldExpandableODE
Get the current time derivative of the complete state vector.
computeDerivatives(T, T[]) - Method in interface org.hipparchus.ode.FieldOrdinaryDifferentialEquation
Get the current time derivative of the state vector.
computeDerivatives(T, T[], T[], T[]) - Method in interface org.hipparchus.ode.FieldSecondaryODE
Compute the derivatives related to the secondary state parameters.
computeDividedDifference(double[], double[]) - Static method in class org.hipparchus.analysis.interpolation.DividedDifferenceInterpolator
Return a copy of the divided difference array.
computeExp(Dfp, Dfp) - Static method in class org.hipparchus.dfp.DfpField
Compute exp(a).
computeGeometricalProperties() - Method in class org.hipparchus.geometry.euclidean.oned.IntervalsSet
Compute some geometrical properties.
computeGeometricalProperties() - Method in class org.hipparchus.geometry.euclidean.threed.PolyhedronsSet
Compute some geometrical properties.
computeGeometricalProperties() - Method in class org.hipparchus.geometry.euclidean.twod.PolygonsSet
Compute some geometrical properties.
computeGeometricalProperties() - Method in class org.hipparchus.geometry.partitioning.AbstractRegion
Compute some geometrical properties.
computeGeometricalProperties() - Method in class org.hipparchus.geometry.spherical.oned.ArcsSet
Compute some geometrical properties.
computeGeometricalProperties() - Method in class org.hipparchus.geometry.spherical.twod.SphericalPolygonsSet
Compute some geometrical properties.
computeInnovationCovarianceMatrix(RealMatrix, RealMatrix) - Method in class org.hipparchus.filtering.kalman.AbstractKalmanFilter
Compute innovation covariance matrix.
computeInterpolatedStateAndDerivatives(EquationsMapper, double, double, double, double) - Method in class org.hipparchus.ode.sampling.AbstractODEStateInterpolator
Compute the state and derivatives at the interpolated time.
computeInterpolatedStateAndDerivatives(FieldEquationsMapper<T>, T, T, T, T) - Method in class org.hipparchus.ode.sampling.AbstractFieldODEStateInterpolator
Compute the state and derivatives at the interpolated time.
computeJacobian(double[]) - Method in interface org.hipparchus.optim.nonlinear.vector.leastsquares.ValueAndJacobianFunction
Compute the Jacobian.
computeLn(Dfp, Dfp, Dfp) - Static method in class org.hipparchus.dfp.DfpField
Compute ln(a).
computeMainStateJacobian(double, double[], double[]) - Method in interface org.hipparchus.migration.ode.MainStateJacobianProvider
Deprecated.
Compute the jacobian matrix of ODE with respect to main state.
computeMainStateJacobian(double, double[], double[]) - Method in interface org.hipparchus.ode.ODEJacobiansProvider
Compute the Jacobian matrix of ODE with respect to state.
computeObjectiveGradient(double[]) - Method in class org.hipparchus.optim.nonlinear.scalar.GradientMultivariateOptimizer
Compute the gradient vector.
computeObjectiveValue(double) - Method in class org.hipparchus.analysis.integration.BaseAbstractUnivariateIntegrator
Compute the objective function value.
computeObjectiveValue(double) - Method in class org.hipparchus.analysis.solvers.BaseAbstractUnivariateSolver
Compute the objective function value.
computeObjectiveValue(double) - Method in class org.hipparchus.optim.univariate.UnivariateOptimizer
Computes the objective function value.
computeObjectiveValue(double[]) - Method in class org.hipparchus.optim.nonlinear.scalar.MultivariateOptimizer
Computes the objective function value.
computeObjectiveValueAndDerivative(double) - Method in class org.hipparchus.analysis.solvers.AbstractUnivariateDifferentiableSolver
Compute the objective function value.
computeParameterJacobian(double, double[], double[], String) - Method in interface org.hipparchus.migration.ode.ParameterJacobianProvider
Deprecated.
Compute the Jacobian matrix of ODE with respect to one parameter.
computeParameterJacobian(double, double[], double[], String) - Method in interface org.hipparchus.ode.NamedParameterJacobianProvider
Compute the Jacobian matrix of ODE with respect to one parameter.
computeParameterJacobian(double, double[], double[], String) - Method in interface org.hipparchus.ode.ODEJacobiansProvider
Compute the Jacobian matrix of ODE with respect to one parameter.
computeParameterJacobian(double, double[], double[], String, double[]) - Method in interface org.hipparchus.migration.ode.ParameterJacobianProvider
Deprecated.
Compute the Jacobian matrix of ODE with respect to one parameter.
computeRoots(int) - Method in class org.hipparchus.complex.RootsOfUnity
Computes the n-th roots of unity.
computeRule(int) - Method in class org.hipparchus.analysis.integration.gauss.BaseRuleFactory
Computes the rule for the given order.
computeRule(int) - Method in class org.hipparchus.analysis.integration.gauss.HermiteRuleFactory
Computes the rule for the given order.
computeRule(int) - Method in class org.hipparchus.analysis.integration.gauss.LaguerreRuleFactory
Computes the rule for the given order.
computeRule(int) - Method in class org.hipparchus.analysis.integration.gauss.LegendreHighPrecisionRuleFactory
Computes the rule for the given order.
computeRule(int) - Method in class org.hipparchus.analysis.integration.gauss.LegendreRuleFactory
Computes the rule for the given order.
computeSecondDerivatives(double, double[], double[]) - Method in interface org.hipparchus.migration.ode.SecondOrderDifferentialEquations
Deprecated.
Get the current time derivative of the state vector.
computeSecondDerivatives(double, double[], double[]) - Method in interface org.hipparchus.ode.SecondOrderODE
Get the current time derivative of the state vector.
computeSecondDerivatives(double, double[], double[], double[]) - Method in interface org.hipparchus.migration.ode.SecondOrderDifferentialEquations
Deprecated.
Get the current time derivative of the state vector.
computeStepGrowShrinkFactor(double) - Method in class org.hipparchus.ode.MultistepIntegrator
Compute step grow/shrink factor according to normalized error.
computeStepGrowShrinkFactor(T) - Method in class org.hipparchus.ode.MultistepFieldIntegrator
Compute step grow/shrink factor according to normalized error.
computeValue(double[]) - Method in interface org.hipparchus.optim.nonlinear.vector.leastsquares.ValueAndJacobianFunction
Compute the value.
concatenate(double[]...) - Static method in class org.hipparchus.util.MathArrays
Concatenates a sequence of arrays.
ConfidenceInterval - Class in org.hipparchus.stat.interval
Represents an interval estimate of a population parameter.
ConfidenceInterval(double, double, double) - Constructor for class org.hipparchus.stat.interval.ConfidenceInterval
Create a confidence interval with the given bounds and confidence level.
conjugate() - Method in class org.hipparchus.complex.Complex
Returns the conjugate of this complex number.
ConjugateGradient - Class in org.hipparchus.linear
This is an implementation of the conjugate gradient method for RealLinearOperator.
ConjugateGradient(int, double, boolean) - Constructor for class org.hipparchus.linear.ConjugateGradient
Creates a new instance of this class, with default stopping criterion.
ConjugateGradient(IterationManager, double, boolean) - Constructor for class org.hipparchus.linear.ConjugateGradient
Creates a new instance of this class, with default stopping criterion and custom iteration manager.
constant(double) - Method in class org.hipparchus.analysis.differentiation.DSFactory
Build a DerivativeStructure representing a constant value.
constant(double) - Method in class org.hipparchus.analysis.differentiation.FDSFactory
Build a FieldDerivativeStructure representing a constant value.
constant(T) - Method in class org.hipparchus.analysis.differentiation.FDSFactory
Build a FieldDerivativeStructure representing a constant value.
Constant - Class in org.hipparchus.analysis.function
Constant function.
Constant(double) - Constructor for class org.hipparchus.analysis.function.Constant
 
ConstantRealDistribution - Class in org.hipparchus.distribution.continuous
Implementation of the constant real distribution.
ConstantRealDistribution(double) - Constructor for class org.hipparchus.distribution.continuous.ConstantRealDistribution
Create a constant real distribution with the given value.
CONSTRAINT - org.hipparchus.exception.LocalizedCoreFormats
 
CONSTRAINT - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
contains(FieldVector3D<T>) - Method in class org.hipparchus.geometry.euclidean.threed.FieldLine
Check if the instance contains a point.
contains(Vector3D) - Method in class org.hipparchus.geometry.euclidean.threed.FieldLine
Check if the instance contains a point.
contains(Vector3D) - Method in class org.hipparchus.geometry.euclidean.threed.Line
Check if the instance contains a point.
contains(Vector3D) - Method in class org.hipparchus.geometry.euclidean.threed.Plane
Check if the instance contains a point.
contains(Vector2D) - Method in class org.hipparchus.geometry.euclidean.twod.Line
Check if the line contains a point.
contains(Region<S>) - Method in class org.hipparchus.geometry.partitioning.AbstractRegion
Check if the instance entirely contains another region.
contains(Region<S>) - Method in interface org.hipparchus.geometry.partitioning.Region
Check if the instance entirely contains another region.
contains(P) - Method in class org.hipparchus.geometry.enclosing.EnclosingBall
Check if a point is within the ball or at boundary.
contains(P, double) - Method in class org.hipparchus.geometry.enclosing.EnclosingBall
Check if a point is within an enlarged ball or at boundary.
containsKey(int) - Method in class org.hipparchus.util.OpenIntToDoubleHashMap
Check if a value is associated with a key.
containsKey(int) - Method in class org.hipparchus.util.OpenIntToFieldHashMap
Check if a value is associated with a key.
CONTINUE - org.hipparchus.migration.ode.events.EventHandler.Action
Deprecated.
Continue indicator.
CONTINUE - org.hipparchus.ode.events.Action
Continue indicator.
CONTINUED_FRACTION_INFINITY_DIVERGENCE - org.hipparchus.exception.LocalizedCoreFormats
 
CONTINUED_FRACTION_INFINITY_DIVERGENCE - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
CONTINUED_FRACTION_NAN_DIVERGENCE - org.hipparchus.exception.LocalizedCoreFormats
 
CONTINUED_FRACTION_NAN_DIVERGENCE - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
ContinuedFraction - Class in org.hipparchus.util
Provides a generic means to evaluate continued fractions.
ContinuedFraction() - Constructor for class org.hipparchus.util.ContinuedFraction
Default constructor.
ContinuousOutputModel - Class in org.hipparchus.migration.ode
Deprecated.
as of 1.0, replaced with DenseOutputModel
ContinuousOutputModel() - Constructor for class org.hipparchus.migration.ode.ContinuousOutputModel
Deprecated.
 
contract() - Method in class org.hipparchus.util.ResizableDoubleArray
Contracts the storage array to the (size of the element set) + 1 - to avoid a zero length array.
CONTRACTION_CRITERIA_SMALLER_THAN_EXPANSION_FACTOR - org.hipparchus.exception.LocalizedCoreFormats
 
CONTRACTION_CRITERIA_SMALLER_THAN_EXPANSION_FACTOR - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
CONTRACTION_CRITERIA_SMALLER_THAN_ONE - org.hipparchus.exception.LocalizedCoreFormats
 
CONTRACTION_CRITERIA_SMALLER_THAN_ONE - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
converged(int, LeastSquaresProblem.Evaluation, LeastSquaresProblem.Evaluation) - Method in class org.hipparchus.optim.nonlinear.vector.leastsquares.EvaluationRmsChecker
Check if the optimization algorithm has converged.
converged(int, PointValuePair, PointValuePair) - Method in class org.hipparchus.optim.SimpleValueChecker
Check if the optimization algorithm has converged considering the last two points.
converged(int, PointVectorValuePair, PointVectorValuePair) - Method in class org.hipparchus.optim.SimpleVectorValueChecker
Check if the optimization algorithm has converged considering the last two points.
converged(int, UnivariatePointValuePair, UnivariatePointValuePair) - Method in class org.hipparchus.optim.univariate.SimpleUnivariateValueChecker
Check if the optimization algorithm has converged considering the last two points.
converged(int, P, P) - Method in class org.hipparchus.optim.AbstractConvergenceChecker
Check if the optimization algorithm has converged.
converged(int, P, P) - Method in interface org.hipparchus.optim.ConvergenceChecker
Check if the optimization algorithm has converged.
converged(int, P, P) - Method in class org.hipparchus.optim.SimplePointChecker
Check if the optimization algorithm has converged considering the last two points.
CONVERGENCE_FAILED - org.hipparchus.exception.LocalizedCoreFormats
 
CONVERGENCE_FAILED - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
ConvergenceChecker<P> - Interface in org.hipparchus.optim
This interface specifies how to check if an optimization algorithm has converged.
ConvergenceException - Exception in org.hipparchus.migration.exception
Deprecated.
as of 1.0, this exception is replaced by MathIllegalStateException
ConvergenceException() - Constructor for exception org.hipparchus.migration.exception.ConvergenceException
Deprecated.
Construct the exception.
ConvergenceException(Localizable, Object...) - Constructor for exception org.hipparchus.migration.exception.ConvergenceException
Deprecated.
Construct the exception with a specific context and arguments.
convertEquations(ComplexOrdinaryDifferentialEquation) - Method in class org.hipparchus.ode.ComplexODEConverter
Convert an equations set.
convertSecondaryEquations(ComplexSecondaryODE) - Method in class org.hipparchus.ode.ComplexODEConverter
Convert a secondary equations set.
convertState(ComplexODEState) - Method in class org.hipparchus.ode.ComplexODEConverter
Convert a complex state (typically the initial state).
convertState(ODEStateAndDerivative) - Method in class org.hipparchus.ode.ComplexODEConverter
Convert a real state and derivatives (typically the final state or some intermediate state for step handling or event handling).
convertToComplex(double[]) - Static method in class org.hipparchus.complex.ComplexUtils
Convert an array of primitive doubles to an array of Complex objects.
ConvexHull<S extends Space,​P extends Point<S>> - Interface in org.hipparchus.geometry.hull
This class represents a convex hull.
ConvexHull2D - Class in org.hipparchus.geometry.euclidean.twod.hull
This class represents a convex hull in an two-dimensional euclidean space.
ConvexHull2D(Vector2D[], double) - Constructor for class org.hipparchus.geometry.euclidean.twod.hull.ConvexHull2D
Simple constructor.
ConvexHullGenerator<S extends Space,​P extends Point<S>> - Interface in org.hipparchus.geometry.hull
Interface for convex hull generators.
ConvexHullGenerator2D - Interface in org.hipparchus.geometry.euclidean.twod.hull
Interface for convex hull generators in the two-dimensional euclidean space.
convolve(double[], double[]) - Static method in class org.hipparchus.util.MathArrays
Calculates the convolution between two sequences.
copy() - Method in class org.hipparchus.analysis.interpolation.InterpolatingMicrosphere
Perform a copy.
copy() - Method in class org.hipparchus.analysis.interpolation.InterpolatingMicrosphere2D
Perform a copy.
copy() - Method in class org.hipparchus.linear.AbstractFieldMatrix
Make a (deep) copy of this.
copy() - Method in class org.hipparchus.linear.AbstractRealMatrix
Returns a (deep) copy of this.
copy() - Method in class org.hipparchus.linear.Array2DRowFieldMatrix
Make a (deep) copy of this.
copy() - Method in class org.hipparchus.linear.Array2DRowRealMatrix
Returns a (deep) copy of this.
copy() - Method in class org.hipparchus.linear.ArrayFieldVector
Returns a (deep) copy of this.
copy() - Method in class org.hipparchus.linear.ArrayRealVector
Returns a (deep) copy of this vector.
copy() - Method in class org.hipparchus.linear.BlockFieldMatrix
Make a (deep) copy of this.
copy() - Method in class org.hipparchus.linear.BlockRealMatrix
Returns a (deep) copy of this.
copy() - Method in class org.hipparchus.linear.DiagonalMatrix
Returns a (deep) copy of this.
copy() - Method in interface org.hipparchus.linear.FieldMatrix
Make a (deep) copy of this.
copy() - Method in interface org.hipparchus.linear.FieldVector
Returns a (deep) copy of this.
copy() - Method in class org.hipparchus.linear.OpenMapRealMatrix
Returns a (deep) copy of this.
copy() - Method in class org.hipparchus.linear.OpenMapRealVector
Returns a (deep) copy of this vector.
copy() - Method in interface org.hipparchus.linear.RealMatrix
Returns a (deep) copy of this.
copy() - Method in class org.hipparchus.linear.RealVector
Returns a (deep) copy of this vector.
copy() - Method in class org.hipparchus.linear.SparseFieldMatrix
Make a (deep) copy of this.
copy() - Method in class org.hipparchus.linear.SparseFieldVector
Returns a (deep) copy of this.
copy() - Method in interface org.hipparchus.migration.ode.sampling.StepInterpolator
Deprecated.
Copy the instance.
copy() - Method in class org.hipparchus.stat.descriptive.AbstractStorelessUnivariateStatistic
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.hipparchus.stat.descriptive.AbstractUnivariateStatistic
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.hipparchus.stat.descriptive.DescriptiveStatistics
Returns a copy of this DescriptiveStatistics instance with the same internal state.
copy() - Method in class org.hipparchus.stat.descriptive.moment.GeometricMean
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.hipparchus.stat.descriptive.moment.Kurtosis
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.hipparchus.stat.descriptive.moment.Mean
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.hipparchus.stat.descriptive.moment.SecondMoment
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.hipparchus.stat.descriptive.moment.SemiVariance
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.hipparchus.stat.descriptive.moment.Skewness
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.hipparchus.stat.descriptive.moment.StandardDeviation
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.hipparchus.stat.descriptive.moment.Variance
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.hipparchus.stat.descriptive.rank.Max
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.hipparchus.stat.descriptive.rank.Median
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.hipparchus.stat.descriptive.rank.Min
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.hipparchus.stat.descriptive.rank.Percentile
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.hipparchus.stat.descriptive.rank.PSquarePercentile
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.hipparchus.stat.descriptive.rank.RandomPercentile
 
copy() - Method in interface org.hipparchus.stat.descriptive.StorelessUnivariateStatistic
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.hipparchus.stat.descriptive.StreamingStatistics
Returns a copy of this StreamingStatistics instance with the same internal state.
copy() - Method in class org.hipparchus.stat.descriptive.summary.Product
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.hipparchus.stat.descriptive.summary.Sum
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.hipparchus.stat.descriptive.summary.SumOfLogs
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.hipparchus.stat.descriptive.summary.SumOfSquares
Returns a copy of the statistic with the same internal state.
copy() - Method in interface org.hipparchus.stat.descriptive.UnivariateStatistic
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.hipparchus.util.ResizableDoubleArray
Returns a copy of the ResizableDoubleArray.
copy(double[][]) - Method in class org.hipparchus.ode.ODEState
Copy a two-dimensions array.
copy(Complex[][]) - Method in class org.hipparchus.ode.ComplexODEState
Copy a two-dimensions array.
copy(T[][]) - Method in class org.hipparchus.ode.FieldODEState
Copy a two-dimensions array.
copySelf() - Method in class org.hipparchus.geometry.euclidean.oned.OrientedPoint
Copy the instance.
copySelf() - Method in class org.hipparchus.geometry.euclidean.threed.Plane
Copy the instance.
copySelf() - Method in class org.hipparchus.geometry.euclidean.twod.Line
Copy the instance.
copySelf() - Method in class org.hipparchus.geometry.partitioning.AbstractRegion
Copy the instance.
copySelf() - Method in class org.hipparchus.geometry.partitioning.AbstractSubHyperplane
Copy the instance.
copySelf() - Method in class org.hipparchus.geometry.partitioning.BSPTree
Copy the instance.
copySelf() - Method in interface org.hipparchus.geometry.partitioning.Hyperplane
Copy the instance.
copySelf() - Method in interface org.hipparchus.geometry.partitioning.Region
Copy the instance.
copySelf() - Method in interface org.hipparchus.geometry.partitioning.SubHyperplane
Copy the instance.
copySelf() - Method in class org.hipparchus.geometry.spherical.oned.LimitAngle
Copy the instance.
copySelf() - Method in class org.hipparchus.geometry.spherical.twod.Circle
Copy the instance.
copySelf() - Method in interface org.hipparchus.stat.descriptive.rank.PSquarePercentile.PSquareMarkers
A deep copy function to clone the current instance.
copysign(Dfp, Dfp) - Static method in class org.hipparchus.dfp.Dfp
Creates an instance that is the same as x except that it has the sign of y.
copySign(byte, byte) - Static method in class org.hipparchus.util.MathUtils
Returns the first argument with the sign of the second argument.
copySign(double) - Method in class org.hipparchus.analysis.differentiation.DerivativeStructure
Returns the instance with the sign of the argument.
copySign(double) - Method in class org.hipparchus.analysis.differentiation.FieldDerivativeStructure
Returns the instance with the sign of the argument.
copySign(double) - Method in class org.hipparchus.analysis.differentiation.SparseGradient
Returns the instance with the sign of the argument.
copySign(double) - Method in class org.hipparchus.dfp.Dfp
Returns the instance with the sign of the argument.
copySign(double) - Method in interface org.hipparchus.RealFieldElement
Returns the instance with the sign of the argument.
copySign(double) - Method in class org.hipparchus.util.Decimal64
Returns the instance with the sign of the argument.
copySign(double) - Method in class org.hipparchus.util.FieldTuple
Returns the instance with the sign of the argument.
copySign(double) - Method in class org.hipparchus.util.Tuple
Returns the instance with the sign of the argument.
copySign(double, double) - Static method in class org.hipparchus.util.FastMath
Returns the first argument with the sign of the second argument.
copySign(float, float) - Static method in class org.hipparchus.util.FastMath
Returns the first argument with the sign of the second argument.
copySign(int, int) - Static method in class org.hipparchus.util.MathUtils
Returns the first argument with the sign of the second argument.
copySign(long, long) - Static method in class org.hipparchus.util.MathUtils
Returns the first argument with the sign of the second argument.
copySign(short, short) - Static method in class org.hipparchus.util.MathUtils
Returns the first argument with the sign of the second argument.
copySign(DerivativeStructure) - Method in class org.hipparchus.analysis.differentiation.DerivativeStructure
Returns the instance with the sign of the argument.
copySign(FieldDerivativeStructure<T>) - Method in class org.hipparchus.analysis.differentiation.FieldDerivativeStructure
Returns the instance with the sign of the argument.
copySign(SparseGradient) - Method in class org.hipparchus.analysis.differentiation.SparseGradient
Returns the instance with the sign of the argument.
copySign(Dfp) - Method in class org.hipparchus.dfp.Dfp
Returns the instance with the sign of the argument.
copySign(Decimal64) - Method in class org.hipparchus.util.Decimal64
Returns the instance with the sign of the argument.
copySign(FieldTuple<T>) - Method in class org.hipparchus.util.FieldTuple
Returns the instance with the sign of the argument.
copySign(Tuple) - Method in class org.hipparchus.util.Tuple
Returns the instance with the sign of the argument.
copySign(T) - Method in class org.hipparchus.analysis.differentiation.FieldDerivativeStructure
Returns the instance with the sign of the argument.
copySign(T) - Method in interface org.hipparchus.RealFieldElement
Returns the instance with the sign of the argument.
copySign(T, double) - Static method in class org.hipparchus.util.FastMath
Returns the first argument with the sign of the second argument.
copySign(T, T) - Static method in class org.hipparchus.util.FastMath
Returns the first argument with the sign of the second argument.
copySubMatrix(int[], int[], double[][]) - Method in class org.hipparchus.linear.AbstractRealMatrix
Copy a submatrix.
copySubMatrix(int[], int[], double[][]) - Method in interface org.hipparchus.linear.RealMatrix
Copy a submatrix.
copySubMatrix(int[], int[], T[][]) - Method in class org.hipparchus.linear.AbstractFieldMatrix
Copy a submatrix.
copySubMatrix(int[], int[], T[][]) - Method in interface org.hipparchus.linear.FieldMatrix
Copy a submatrix.
copySubMatrix(int, int, int, int, double[][]) - Method in class org.hipparchus.linear.AbstractRealMatrix
Copy a submatrix.
copySubMatrix(int, int, int, int, double[][]) - Method in interface org.hipparchus.linear.RealMatrix
Copy a submatrix.
copySubMatrix(int, int, int, int, T[][]) - Method in class org.hipparchus.linear.AbstractFieldMatrix
Copy a submatrix.
copySubMatrix(int, int, int, int, T[][]) - Method in interface org.hipparchus.linear.FieldMatrix
Copy a submatrix.
correct(T, RealMatrix, RealVector, RealMatrix, RealMatrix) - Method in class org.hipparchus.filtering.kalman.AbstractKalmanFilter
Perform correction step.
CorrelatedRandomVectorGenerator - Class in org.hipparchus.random
A RandomVectorGenerator that generates vectors with with correlated components.
CorrelatedRandomVectorGenerator(double[], RealMatrix, double, NormalizedRandomGenerator) - Constructor for class org.hipparchus.random.CorrelatedRandomVectorGenerator
Builds a correlated random vector generator from its mean vector and covariance matrix.
CorrelatedRandomVectorGenerator(RealMatrix, double, NormalizedRandomGenerator) - Constructor for class org.hipparchus.random.CorrelatedRandomVectorGenerator
Builds a null mean random correlated vector generator from its covariance matrix.
correlation(double[], double[]) - Method in class org.hipparchus.stat.correlation.KendallsCorrelation
Computes the Kendall's Tau rank correlation coefficient between the two arrays.
correlation(double[], double[]) - Method in class org.hipparchus.stat.correlation.PearsonsCorrelation
Computes the Pearson's product-moment correlation coefficient between two arrays.
correlation(double[], double[]) - Method in class org.hipparchus.stat.correlation.SpearmansCorrelation
Computes the Spearman's rank correlation coefficient between the two arrays.
cos() - Method in class org.hipparchus.analysis.differentiation.DerivativeStructure
Cosine operation.
cos() - Method in class org.hipparchus.analysis.differentiation.FieldDerivativeStructure
Cosine operation.
cos() - Method in class org.hipparchus.analysis.differentiation.SparseGradient
Cosine operation.
cos() - Method in class org.hipparchus.complex.Complex
Compute the cosine of this complex number.
cos() - Method in class org.hipparchus.dfp.Dfp
Cosine operation.
cos() - Method in interface org.hipparchus.RealFieldElement
Cosine operation.
cos() - Method in class org.hipparchus.util.Decimal64
Cosine operation.
cos() - Method in class org.hipparchus.util.FieldSinCos
Get the value of the cosine.
cos() - Method in class org.hipparchus.util.FieldTuple
Cosine operation.
cos() - Method in class org.hipparchus.util.SinCos
Get the value of the cosine.
cos() - Method in class org.hipparchus.util.Tuple
Cosine operation.
cos(double) - Static method in class org.hipparchus.util.FastMath
Cosine function.
cos(double[], int, double[], int) - Method in class org.hipparchus.analysis.differentiation.DSCompiler
Compute cosine of a derivative structure.
cos(Dfp) - Static method in class org.hipparchus.dfp.DfpMath
computes the cosine of the argument.
cos(T) - Static method in class org.hipparchus.util.FastMath
Cosine function.
cos(T[], int, T[], int) - Method in class org.hipparchus.analysis.differentiation.DSCompiler
Compute cosine of a derivative structure.
Cos - Class in org.hipparchus.analysis.function
Cosine function.
Cos() - Constructor for class org.hipparchus.analysis.function.Cos
 
cosAngle(double[], double[]) - Static method in class org.hipparchus.util.MathArrays
Calculates the cosine of the angle between two vectors.
cosh() - Method in class org.hipparchus.analysis.differentiation.DerivativeStructure
Hyperbolic cosine operation.
cosh() - Method in class org.hipparchus.analysis.differentiation.FieldDerivativeStructure
Hyperbolic cosine operation.
cosh() - Method in class org.hipparchus.analysis.differentiation.SparseGradient
Hyperbolic cosine operation.
cosh() - Method in class org.hipparchus.complex.Complex
Compute the hyperbolic cosine of this complex number.
cosh() - Method in class org.hipparchus.dfp.Dfp
Hyperbolic cosine operation.
cosh() - Method in interface org.hipparchus.RealFieldElement
Hyperbolic cosine operation.
cosh() - Method in class org.hipparchus.util.Decimal64
Hyperbolic cosine operation.
cosh() - Method in class org.hipparchus.util.FieldTuple
Hyperbolic cosine operation.
cosh() - Method in class org.hipparchus.util.Tuple
Hyperbolic cosine operation.
cosh(double) - Static method in class org.hipparchus.util.FastMath
Compute the hyperbolic cosine of a number.
cosh(double[], int, double[], int) - Method in class org.hipparchus.analysis.differentiation.DSCompiler
Compute hyperbolic cosine of a derivative structure.
cosh(T) - Static method in class org.hipparchus.util.FastMath
Compute the hyperbolic cosine of a number.
cosh(T[], int, T[], int) - Method in class org.hipparchus.analysis.differentiation.DSCompiler
Compute hyperbolic cosine of a derivative structure.
Cosh - Class in org.hipparchus.analysis.function
Hyperbolic cosine function.
Cosh() - Constructor for class org.hipparchus.analysis.function.Cosh
 
cosine(RealVector) - Method in class org.hipparchus.linear.RealVector
Computes the cosine of the angle between this vector and the argument.
cosInternal(Dfp[]) - Static method in class org.hipparchus.dfp.DfpMath
Computes cos(a) Used when 0 < a < pi/4.
countEvaluations(LeastSquaresProblem, Incrementor) - Static method in class org.hipparchus.optim.nonlinear.vector.leastsquares.LeastSquaresFactory
Count the evaluations of a particular problem.
covariance(double[], double[]) - Method in class org.hipparchus.stat.correlation.Covariance
Computes the covariance between the two arrays, using the bias-corrected formula.
covariance(double[], double[], boolean) - Method in class org.hipparchus.stat.correlation.Covariance
Computes the covariance between the two arrays.
Covariance - Class in org.hipparchus.stat.correlation
Computes covariances for pairs of arrays or columns of a matrix.
Covariance() - Constructor for class org.hipparchus.stat.correlation.Covariance
Create a Covariance with no data.
Covariance(double[][]) - Constructor for class org.hipparchus.stat.correlation.Covariance
Create a Covariance matrix from a rectangular array whose columns represent covariates.
Covariance(double[][], boolean) - Constructor for class org.hipparchus.stat.correlation.Covariance
Create a Covariance matrix from a rectangular array whose columns represent covariates.
Covariance(RealMatrix) - Constructor for class org.hipparchus.stat.correlation.Covariance
Create a covariance matrix from a matrix whose columns represent covariates.
Covariance(RealMatrix, boolean) - Constructor for class org.hipparchus.stat.correlation.Covariance
Create a covariance matrix from a matrix whose columns represent covariates.
COVARIANCE_MATRIX - org.hipparchus.exception.LocalizedCoreFormats
Deprecated.
COVARIANCE_MATRIX - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
COVARIANCE_MATRIX - org.hipparchus.stat.LocalizedStatFormats
 
covarianceToCorrelation(RealMatrix) - Method in class org.hipparchus.stat.correlation.PearsonsCorrelation
Derives a correlation matrix from a covariance matrix.
create() - Static method in class org.hipparchus.fitting.GaussianCurveFitter
Creates a default curve fitter.
create() - Static method in class org.hipparchus.fitting.HarmonicCurveFitter
Creates a default curve fitter.
create() - Static method in class org.hipparchus.util.CombinatoricsUtils.FactorialLog
Creates an instance with no precomputed values.
create(boolean, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.hipparchus.ode.sampling.AbstractFieldODEStateInterpolator
Create a new instance.
create(boolean, ODEStateAndDerivative, ODEStateAndDerivative, ODEStateAndDerivative, ODEStateAndDerivative, EquationsMapper) - Method in class org.hipparchus.ode.sampling.AbstractODEStateInterpolator
Create a new instance.
create(int) - Static method in class org.hipparchus.fitting.PolynomialCurveFitter
Creates a default curve fitter.
create(K, V) - Static method in class org.hipparchus.util.Pair
Convenience factory method that calls the constructor.
create(MultivariateVectorFunction, MultivariateMatrixFunction, double[], double[], RealMatrix, ConvergenceChecker<LeastSquaresProblem.Evaluation>, int, int) - Static method in class org.hipparchus.optim.nonlinear.vector.leastsquares.LeastSquaresFactory
Create a LeastSquaresProblem from the given elements.
create(ParametricUnivariateFunction, double[]) - Static method in class org.hipparchus.fitting.SimpleCurveFitter
Creates a curve fitter.
create(RealLinearOperator) - Static method in class org.hipparchus.linear.JacobiPreconditioner
Creates a new instance of this class.
create(MultivariateJacobianFunction, RealVector, RealVector, RealMatrix, ConvergenceChecker<LeastSquaresProblem.Evaluation>, int, int) - Static method in class org.hipparchus.optim.nonlinear.vector.leastsquares.LeastSquaresFactory
Create a LeastSquaresProblem from the given elements.
create(MultivariateJacobianFunction, RealVector, RealVector, RealMatrix, ConvergenceChecker<LeastSquaresProblem.Evaluation>, int, int, boolean, ParameterValidator) - Static method in class org.hipparchus.optim.nonlinear.vector.leastsquares.LeastSquaresFactory
Create a LeastSquaresProblem from the given elements.
create(MultivariateJacobianFunction, RealVector, RealVector, ConvergenceChecker<LeastSquaresProblem.Evaluation>, int, int) - Static method in class org.hipparchus.optim.nonlinear.vector.leastsquares.LeastSquaresFactory
Create a LeastSquaresProblem from the given elements.
createBlocksLayout(int, int) - Static method in class org.hipparchus.linear.BlockRealMatrix
Create a data array in blocks layout.
createBlocksLayout(Field<T>, int, int) - Static method in class org.hipparchus.linear.BlockFieldMatrix
Create a data array in blocks layout.
createCanvas() - Static method in class org.hipparchus.samples.geometry.GeometryExample
 
createChart(String, int, int, StyleManager.LegendPosition) - Static method in class org.hipparchus.samples.IntegerDistributionComparison
 
createChart(String, int, int, StyleManager.LegendPosition) - Static method in class org.hipparchus.samples.RealDistributionComparison
 
createChebyshevPolynomial(int) - Static method in class org.hipparchus.analysis.polynomials.PolynomialsUtils
Create a Chebyshev polynomial of the first kind.
createCircle(int) - Static method in class org.hipparchus.samples.geometry.GeometryExample
 
createColumnFieldMatrix(T[]) - Static method in class org.hipparchus.linear.MatrixUtils
Creates a column FieldMatrix using the data from the input array.
createColumnRealMatrix(double[]) - Static method in class org.hipparchus.linear.MatrixUtils
Creates a column RealMatrix using the data from the input array.
createComplex(double, double) - Method in class org.hipparchus.complex.Complex
Create a complex number given the real and imaginary parts.
createComplexArray(double[][]) - Static method in class org.hipparchus.transform.TransformUtils
Builds a new array of Complex from the specified two dimensional array of real and imaginary parts.
createComponent(String, int, int, String[], IntegerDistribution...) - Static method in class org.hipparchus.samples.IntegerDistributionComparison
 
createComponent(String, int, int, String[], RealDistribution...) - Static method in class org.hipparchus.samples.RealDistributionComparison
 
createConstant(double) - Method in class org.hipparchus.analysis.differentiation.DerivativeStructure
Deprecated.
as of 1.1, replaced by DSFactory.constant(double)
createConstant(double) - Static method in class org.hipparchus.analysis.differentiation.SparseGradient
Factory method creating a constant.
createCross() - Static method in class org.hipparchus.samples.geometry.GeometryExample
 
createFieldDiagonalMatrix(T[]) - Static method in class org.hipparchus.linear.MatrixUtils
Returns a diagonal matrix with specified elements.
createFieldIdentityMatrix(Field<T>, int) - Static method in class org.hipparchus.linear.MatrixUtils
Returns dimension x dimension identity matrix.
createFieldMatrix(Field<T>, int, int) - Static method in class org.hipparchus.linear.MatrixUtils
Returns a FieldMatrix with specified dimensions.
createFieldMatrix(T[][]) - Static method in class org.hipparchus.linear.MatrixUtils
Returns a FieldMatrix whose entries are the the values in the the input array.
createFieldVector(Field<T>, int) - Static method in class org.hipparchus.linear.MatrixUtils
Creates a FieldVector with specified dimensions.
createFieldVector(T[]) - Static method in class org.hipparchus.linear.MatrixUtils
Creates a FieldVector using the data from the input array.
createHermitePolynomial(int) - Static method in class org.hipparchus.analysis.polynomials.PolynomialsUtils
Create a Hermite polynomial.
createInternalError() - Static method in exception org.hipparchus.exception.MathRuntimeException
Create an exception for an internal error.
createInternalError(Throwable) - Static method in exception org.hipparchus.exception.MathRuntimeException
Create an exception for an internal error.
createInterpolator(boolean, double[][], ODEStateAndDerivative, ODEStateAndDerivative, EquationsMapper) - Method in class org.hipparchus.ode.nonstiff.ClassicalRungeKuttaIntegrator
Create an interpolator.
createInterpolator(boolean, double[][], ODEStateAndDerivative, ODEStateAndDerivative, EquationsMapper) - Method in class org.hipparchus.ode.nonstiff.DormandPrince54Integrator
Create an interpolator.
createInterpolator(boolean, double[][], ODEStateAndDerivative, ODEStateAndDerivative, EquationsMapper) - Method in class org.hipparchus.ode.nonstiff.DormandPrince853Integrator
Create an interpolator.
createInterpolator(boolean, double[][], ODEStateAndDerivative, ODEStateAndDerivative, EquationsMapper) - Method in class org.hipparchus.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Create an interpolator.
createInterpolator(boolean, double[][], ODEStateAndDerivative, ODEStateAndDerivative, EquationsMapper) - Method in class org.hipparchus.ode.nonstiff.EulerIntegrator
Create an interpolator.
createInterpolator(boolean, double[][], ODEStateAndDerivative, ODEStateAndDerivative, EquationsMapper) - Method in class org.hipparchus.ode.nonstiff.GillIntegrator
Create an interpolator.
createInterpolator(boolean, double[][], ODEStateAndDerivative, ODEStateAndDerivative, EquationsMapper) - Method in class org.hipparchus.ode.nonstiff.HighamHall54Integrator
Create an interpolator.
createInterpolator(boolean, double[][], ODEStateAndDerivative, ODEStateAndDerivative, EquationsMapper) - Method in class org.hipparchus.ode.nonstiff.LutherIntegrator
Create an interpolator.
createInterpolator(boolean, double[][], ODEStateAndDerivative, ODEStateAndDerivative, EquationsMapper) - Method in class org.hipparchus.ode.nonstiff.MidpointIntegrator
Create an interpolator.
createInterpolator(boolean, double[][], ODEStateAndDerivative, ODEStateAndDerivative, EquationsMapper) - Method in class org.hipparchus.ode.nonstiff.RungeKuttaIntegrator
Create an interpolator.
createInterpolator(boolean, double[][], ODEStateAndDerivative, ODEStateAndDerivative, EquationsMapper) - Method in class org.hipparchus.ode.nonstiff.ThreeEighthesIntegrator
Create an interpolator.
createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.hipparchus.ode.nonstiff.ClassicalRungeKuttaFieldIntegrator
Create an interpolator.
createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.hipparchus.ode.nonstiff.DormandPrince54FieldIntegrator
Create an interpolator.
createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.hipparchus.ode.nonstiff.DormandPrince853FieldIntegrator
Create an interpolator.
createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.hipparchus.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
Create an interpolator.
createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.hipparchus.ode.nonstiff.EulerFieldIntegrator
Create an interpolator.
createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.hipparchus.ode.nonstiff.GillFieldIntegrator
Create an interpolator.
createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.hipparchus.ode.nonstiff.HighamHall54FieldIntegrator
Create an interpolator.
createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.hipparchus.ode.nonstiff.LutherFieldIntegrator
Create an interpolator.
createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.hipparchus.ode.nonstiff.MidpointFieldIntegrator
Create an interpolator.
createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.hipparchus.ode.nonstiff.RungeKuttaFieldIntegrator
Create an interpolator.
createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.hipparchus.ode.nonstiff.ThreeEighthesFieldIntegrator
Create an interpolator.
createJacobiPolynomial(int, int, int) - Static method in class org.hipparchus.analysis.polynomials.PolynomialsUtils
Create a Jacobi polynomial.
createLaguerrePolynomial(int) - Static method in class org.hipparchus.analysis.polynomials.PolynomialsUtils
Create a Laguerre polynomial.
createLegendrePolynomial(int) - Static method in class org.hipparchus.analysis.polynomials.PolynomialsUtils
Create a Legendre polynomial.
createMatrix(int, int) - Method in class org.hipparchus.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.hipparchus.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.hipparchus.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.hipparchus.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.hipparchus.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.hipparchus.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.hipparchus.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.hipparchus.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.hipparchus.linear.OpenMapRealMatrix
Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in interface org.hipparchus.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.hipparchus.linear.SparseFieldMatrix
Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
createRandomPoints(int) - Static method in class org.hipparchus.samples.geometry.GeometryExample
 
createRealDiagonalMatrix(double[]) - Static method in class org.hipparchus.linear.MatrixUtils
Returns a diagonal matrix with specified elements.
createRealIdentityMatrix(int) - Static method in class org.hipparchus.linear.MatrixUtils
Returns dimension x dimension identity matrix.
createRealImaginaryArray(Complex[]) - Static method in class org.hipparchus.transform.TransformUtils
Builds a new two dimensional array of double filled with the real and imaginary parts of the specified Complex numbers.
createRealMatrix(double[][]) - Static method in class org.hipparchus.linear.MatrixUtils
Returns a RealMatrix whose entries are the the values in the the input array.
createRealMatrix(int, int) - Static method in class org.hipparchus.linear.MatrixUtils
Returns a RealMatrix with specified dimensions.
createRealVector(double[]) - Static method in class org.hipparchus.linear.MatrixUtils
Creates a RealVector using the data from the input array.
createRealVector(int) - Static method in class org.hipparchus.linear.MatrixUtils
Creates a RealVector with specified dimensions.
createRegion() - Method in class org.hipparchus.geometry.euclidean.twod.hull.ConvexHull2D
Returns a new region that is enclosed by the convex hull.
createRegion() - Method in interface org.hipparchus.geometry.hull.ConvexHull
Returns a new region that is enclosed by the convex hull.
createRowFieldMatrix(T[]) - Static method in class org.hipparchus.linear.MatrixUtils
Create a row FieldMatrix using the data from the input array.
createRowRealMatrix(double[]) - Static method in class org.hipparchus.linear.MatrixUtils
Create a row RealMatrix using the data from the input array.
createVariable(int, double) - Static method in class org.hipparchus.analysis.differentiation.SparseGradient
Factory method creating an independent variable.
CROSSING_BOUNDARY_LOOPS - org.hipparchus.geometry.LocalizedGeometryFormats
 
CROSSING_BOUNDARY_LOOPS - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
crossProduct(FieldVector3D<T>) - Method in class org.hipparchus.geometry.euclidean.threed.FieldVector3D
Compute the cross-product of the instance with another vector.
crossProduct(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.hipparchus.geometry.euclidean.threed.FieldVector3D
Compute the cross-product of two vectors.
crossProduct(FieldVector3D<T>, Vector3D) - Static method in class org.hipparchus.geometry.euclidean.threed.FieldVector3D
Compute the cross-product of two vectors.
crossProduct(Vector3D) - Method in class org.hipparchus.geometry.euclidean.threed.FieldVector3D
Compute the cross-product of the instance with another vector.
crossProduct(Vector3D, FieldVector3D<T>) - Static method in class org.hipparchus.geometry.euclidean.threed.FieldVector3D
Compute the cross-product of two vectors.
crossProduct(Vector3D, Vector3D) - Static method in class org.hipparchus.geometry.euclidean.threed.Vector3D
Compute the cross-product of two vectors.
crossProduct(Vector2D, Vector2D) - Method in class org.hipparchus.geometry.euclidean.twod.Vector2D
Compute the cross-product of the instance and the given points.
crossProduct(Vector<Euclidean3D>) - Method in class org.hipparchus.geometry.euclidean.threed.Vector3D
Compute the cross-product of the instance with another vector.
CUMULATIVE_PROBABILITY_RETURNED_NAN - org.hipparchus.exception.LocalizedCoreFormats
 
CUMULATIVE_PROBABILITY_RETURNED_NAN - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
cumulativeProbability(double) - Method in class org.hipparchus.distribution.continuous.BetaDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.hipparchus.distribution.continuous.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.hipparchus.distribution.continuous.ChiSquaredDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.hipparchus.distribution.continuous.ConstantRealDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.hipparchus.distribution.continuous.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.hipparchus.distribution.continuous.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.hipparchus.distribution.continuous.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.hipparchus.distribution.continuous.GammaDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.hipparchus.distribution.continuous.GumbelDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.hipparchus.distribution.continuous.LaplaceDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.hipparchus.distribution.continuous.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.hipparchus.distribution.continuous.LogisticDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.hipparchus.distribution.continuous.LogNormalDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.hipparchus.distribution.continuous.NakagamiDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.hipparchus.distribution.continuous.NormalDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.hipparchus.distribution.continuous.ParetoDistribution
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.hipparchus.distribution.continuous.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.hipparchus.distribution.continuous.TriangularDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.hipparchus.distribution.continuous.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.hipparchus.distribution.continuous.WeibullDistribution
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.hipparchus.distribution.RealDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.hipparchus.stat.fitting.EmpiricalDistribution
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.hipparchus.distribution.discrete.BinomialDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(int) - Method in class org.hipparchus.distribution.discrete.EnumeratedIntegerDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(int) - Method in class org.hipparchus.distribution.discrete.GeometricDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(int) - Method in class org.hipparchus.distribution.discrete.HypergeometricDistribution
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.hipparchus.distribution.discrete.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.hipparchus.distribution.discrete.PoissonDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(int) - Method in class org.hipparchus.distribution.discrete.UniformIntegerDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(int) - Method in class org.hipparchus.distribution.discrete.ZipfDistribution
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.hipparchus.distribution.IntegerDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).

D

DANTZIG - org.hipparchus.optim.linear.PivotSelectionRule
The classical rule, the variable with the most negative coefficient in the objective function row will be chosen as entering variable.
DBSCANClusterer<T extends Clusterable> - Class in org.hipparchus.clustering
DBSCAN (density-based spatial clustering of applications with noise) algorithm.
DBSCANClusterer(double, int) - Constructor for class org.hipparchus.clustering.DBSCANClusterer
Creates a new instance of a DBSCANClusterer.
DBSCANClusterer(double, int, DistanceMeasure) - Constructor for class org.hipparchus.clustering.DBSCANClusterer
Creates a new instance of a DBSCANClusterer.
DctNormalization - Enum in org.hipparchus.transform
This enumeration defines the various types of normalizations that can be applied to discrete cosine transforms (DCT).
Decimal64 - Class in org.hipparchus.util
This class wraps a double value in an object.
Decimal64(double) - Constructor for class org.hipparchus.util.Decimal64
Creates a new instance of this class.
Decimal64Field - Class in org.hipparchus.util
The field of double precision floating-point numbers.
decompose(double[][]) - Method in class org.hipparchus.linear.QRDecomposition
Decompose matrix.
decompose(double[][]) - Method in class org.hipparchus.linear.RRQRDecomposition
Decompose matrix.
decompose(RealMatrix) - Method in class org.hipparchus.linear.CholeskyDecomposer
Get a solver for finding the A × X = B solution in least square sense.
decompose(RealMatrix) - Method in class org.hipparchus.linear.LUDecomposer
Get a solver for finding the A × X = B solution in least square sense.
decompose(RealMatrix) - Method in interface org.hipparchus.linear.MatrixDecomposer
Get a solver for finding the A × X = B solution in least square sense.
decompose(RealMatrix) - Method in class org.hipparchus.linear.QRDecomposer
Get a solver for finding the A × X = B solution in least square sense.
decompose(RealMatrix) - Method in class org.hipparchus.linear.SingularValueDecomposer
Get a solver for finding the A × X = B solution in least square sense.
decompose(T[][]) - Method in class org.hipparchus.linear.FieldQRDecomposition
Decompose matrix.
DecompositionSolver - Interface in org.hipparchus.linear
Interface handling decomposition algorithms that can solve A × X = B.
DECREASING - org.hipparchus.util.MathArrays.OrderDirection
Constant for decreasing direction.
decrementExact(int) - Static method in class org.hipparchus.util.FastMath
Decrement a number, detecting overflows.
decrementExact(long) - Static method in class org.hipparchus.util.FastMath
Decrement a number, detecting overflows.
DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.hipparchus.analysis.integration.BaseAbstractUnivariateIntegrator
Default absolute accuracy.
DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.hipparchus.analysis.solvers.BaseSecantSolver
Default absolute accuracy.
DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.hipparchus.analysis.solvers.SecantSolver
Default absolute accuracy.
DEFAULT_ABSOLUTE_POSITIVITY_THRESHOLD - Static variable in class org.hipparchus.linear.CholeskyDecomposition
Default threshold below which diagonal elements are considered null and matrix not positive definite.
DEFAULT_ACCURACY - Static variable in class org.hipparchus.analysis.interpolation.LoessInterpolator
Default value for accuracy.
DEFAULT_BANDWIDTH - Static variable in class org.hipparchus.analysis.interpolation.LoessInterpolator
Default value of the bandwidth parameter.
DEFAULT_BIN_COUNT - Static variable in class org.hipparchus.stat.fitting.EmpiricalDistribution
Default bin count
DEFAULT_EPSILON - Static variable in class org.hipparchus.distribution.discrete.PoissonDistribution
Default convergence criterion.
DEFAULT_EPSILON - Static variable in class org.hipparchus.stat.descriptive.rank.RandomPercentile
Default quantile estimation error setting
DEFAULT_EXTEND - Static variable in class org.hipparchus.analysis.interpolation.UnivariatePeriodicInterpolator
Default number of extension points of the samples array.
DEFAULT_FORMAT - Static variable in class org.hipparchus.linear.MatrixUtils
The default format for RealMatrix objects.
DEFAULT_INITIAL_RADIUS - Static variable in class org.hipparchus.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
DEFAULT_MAX_ITERATIONS - Static variable in class org.hipparchus.distribution.discrete.PoissonDistribution
Default maximum number of iterations for cumulative probability calculations.
DEFAULT_MAX_ITERATIONS_COUNT - Static variable in class org.hipparchus.analysis.integration.BaseAbstractUnivariateIntegrator
Default maximal iteration count.
DEFAULT_MIN_ITERATIONS_COUNT - Static variable in class org.hipparchus.analysis.integration.BaseAbstractUnivariateIntegrator
Default minimal iteration count.
DEFAULT_NAN_STRATEGY - Static variable in class org.hipparchus.stat.ranking.NaturalRanking
default NaN strategy
DEFAULT_PREFIX - Static variable in class org.hipparchus.geometry.VectorFormat
The default prefix: "{".
DEFAULT_RELATIVE_ACCURACY - Static variable in class org.hipparchus.analysis.integration.BaseAbstractUnivariateIntegrator
Default relative accuracy.
DEFAULT_RELATIVE_SYMMETRY_THRESHOLD - Static variable in class org.hipparchus.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.hipparchus.analysis.interpolation.LoessInterpolator
Default value of the number of robustness iterations.
DEFAULT_SEPARATOR - Static variable in class org.hipparchus.geometry.VectorFormat
The default separator: ", ".
DEFAULT_SOLVER_ABSOLUTE_ACCURACY - Static variable in class org.hipparchus.distribution.continuous.AbstractRealDistribution
Default absolute accuracy for inverse cumulative computation.
DEFAULT_STOPPING_RADIUS - Static variable in class org.hipparchus.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
Default value for BOBYQAOptimizer.stoppingTrustRegionRadius: 1.0E-8 .
DEFAULT_SUFFIX - Static variable in class org.hipparchus.geometry.VectorFormat
The default suffix: "}".
DEFAULT_TIES_STRATEGY - Static variable in class org.hipparchus.stat.ranking.NaturalRanking
default ties strategy
DEFAULT_ZERO_TOLERANCE - Static variable in class org.hipparchus.linear.OpenMapRealVector
Default Tolerance for having a value considered zero.
DefaultFieldMatrixChangingVisitor<T extends FieldElement<T>> - Class in org.hipparchus.linear
Default implementation of the FieldMatrixChangingVisitor interface.
DefaultFieldMatrixChangingVisitor(T) - Constructor for class org.hipparchus.linear.DefaultFieldMatrixChangingVisitor
Build a new instance.
DefaultFieldMatrixPreservingVisitor<T extends FieldElement<T>> - Class in org.hipparchus.linear
Default implementation of the FieldMatrixPreservingVisitor interface.
DefaultFieldMatrixPreservingVisitor(T) - Constructor for class org.hipparchus.linear.DefaultFieldMatrixPreservingVisitor
Build a new instance.
DefaultIterativeLinearSolverEvent - Class in org.hipparchus.linear
A default concrete implementation of the abstract class IterativeLinearSolverEvent.
DefaultIterativeLinearSolverEvent(Object, int, RealVector, RealVector, double) - Constructor for class org.hipparchus.linear.DefaultIterativeLinearSolverEvent
Creates a new instance of this class.
DefaultIterativeLinearSolverEvent(Object, int, RealVector, RealVector, RealVector, double) - Constructor for class org.hipparchus.linear.DefaultIterativeLinearSolverEvent
Creates a new instance of this class.
DefaultRealMatrixChangingVisitor - Class in org.hipparchus.linear
Default implementation of the RealMatrixChangingVisitor interface.
DefaultRealMatrixChangingVisitor() - Constructor for class org.hipparchus.linear.DefaultRealMatrixChangingVisitor
 
DefaultRealMatrixPreservingVisitor - Class in org.hipparchus.linear
Default implementation of the RealMatrixPreservingVisitor interface.
DefaultRealMatrixPreservingVisitor() - Constructor for class org.hipparchus.linear.DefaultRealMatrixPreservingVisitor
 
degree() - Method in class org.hipparchus.analysis.polynomials.PolynomialFunction
Returns the degree of the polynomial.
degree() - Method in class org.hipparchus.analysis.polynomials.PolynomialFunctionLagrangeForm
Returns the degree of the polynomial.
degree() - Method in class org.hipparchus.analysis.polynomials.PolynomialFunctionNewtonForm
Returns the degree of the polynomial.
DEGREES_OF_FREEDOM - org.hipparchus.exception.LocalizedCoreFormats
 
DEGREES_OF_FREEDOM - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
delegate() - Method in class org.hipparchus.random.RandomDataGenerator
Returns the backing delegate instance that methods are forwarded to.
DENOMINATOR - org.hipparchus.exception.LocalizedCoreFormats
 
DENOMINATOR - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
DENOMINATOR_FORMAT - org.hipparchus.exception.LocalizedCoreFormats
 
DENOMINATOR_FORMAT - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
DenseOutputModel - Class in org.hipparchus.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.
DenseOutputModel() - Constructor for class org.hipparchus.ode.DenseOutputModel
Simple constructor.
density(double) - Method in class org.hipparchus.distribution.continuous.BetaDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.hipparchus.distribution.continuous.CauchyDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.hipparchus.distribution.continuous.ChiSquaredDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.hipparchus.distribution.continuous.ConstantRealDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.hipparchus.distribution.continuous.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.hipparchus.distribution.continuous.ExponentialDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.hipparchus.distribution.continuous.FDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.hipparchus.distribution.continuous.GammaDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.hipparchus.distribution.continuous.GumbelDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.hipparchus.distribution.continuous.LaplaceDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.hipparchus.distribution.continuous.LevyDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.hipparchus.distribution.continuous.LogisticDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.hipparchus.distribution.continuous.LogNormalDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.hipparchus.distribution.continuous.NakagamiDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.hipparchus.distribution.continuous.NormalDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.hipparchus.distribution.continuous.ParetoDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.hipparchus.distribution.continuous.TDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.hipparchus.distribution.continuous.TriangularDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.hipparchus.distribution.continuous.UniformRealDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.hipparchus.distribution.continuous.WeibullDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in interface org.hipparchus.distribution.RealDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.hipparchus.stat.fitting.EmpiricalDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double[]) - Method in class org.hipparchus.distribution.multivariate.MixtureMultivariateRealDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double[]) - Method in class org.hipparchus.distribution.multivariate.MultivariateNormalDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double[]) - Method in interface org.hipparchus.distribution.MultivariateRealDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
derivative(MultivariateDifferentiableFunction, int[]) - Static method in class org.hipparchus.analysis.FunctionUtils
Convert an MultivariateDifferentiableFunction to an MultivariateFunction computing nth order derivative.
derivative(UnivariateDifferentiableFunction, int) - Static method in class org.hipparchus.analysis.FunctionUtils
Convert an UnivariateDifferentiableFunction to an UnivariateFunction computing nth order derivative.
derivatives(double, int) - Method in class org.hipparchus.analysis.interpolation.HermiteInterpolator
Interpolate value and first derivatives at a specified abscissa.
derivatives(T, int) - Method in class org.hipparchus.analysis.interpolation.FieldHermiteInterpolator
Interpolate value and first derivatives at a specified abscissa.
DerivativeStructure - Class in org.hipparchus.analysis.differentiation
Class representing both the value and the differentials of a function.
DerivativeStructure(double, DerivativeStructure, double, DerivativeStructure) - Constructor for class org.hipparchus.analysis.differentiation.DerivativeStructure
DerivativeStructure(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Constructor for class org.hipparchus.analysis.differentiation.DerivativeStructure
DerivativeStructure(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Constructor for class org.hipparchus.analysis.differentiation.DerivativeStructure
DerivativeStructure(int, int) - Constructor for class org.hipparchus.analysis.differentiation.DerivativeStructure
Deprecated.
as of 1.1, replaced by DSFactory.build()
DerivativeStructure(int, int, double) - Constructor for class org.hipparchus.analysis.differentiation.DerivativeStructure
Deprecated.
as of 1.1, replaced by DSFactory.constant(double)
DerivativeStructure(int, int, double...) - Constructor for class org.hipparchus.analysis.differentiation.DerivativeStructure
Deprecated.
as of 1.1, replaced by DSFactory.build(double...)
DerivativeStructure(int, int, int, double) - Constructor for class org.hipparchus.analysis.differentiation.DerivativeStructure
Deprecated.
as of 1.1, replaced by DSFactory.variable(int, double)
DescriptiveStatistics - Class in org.hipparchus.stat.descriptive
Maintains a dataset of values of a single variable and computes descriptive statistics based on stored data.
DescriptiveStatistics() - Constructor for class org.hipparchus.stat.descriptive.DescriptiveStatistics
Construct a DescriptiveStatistics instance with an infinite window.
DescriptiveStatistics(double[]) - Constructor for class org.hipparchus.stat.descriptive.DescriptiveStatistics
Construct a DescriptiveStatistics instance with an infinite window and the initial data values in double[] initialDoubleArray.
DescriptiveStatistics(int) - Constructor for class org.hipparchus.stat.descriptive.DescriptiveStatistics
Construct a DescriptiveStatistics instance with the specified window.
DescriptiveStatistics(DescriptiveStatistics) - Constructor for class org.hipparchus.stat.descriptive.DescriptiveStatistics
Copy constructor.
deserializeRealMatrix(Object, String, ObjectInputStream) - Static method in class org.hipparchus.linear.MatrixUtils
Deserialize a RealMatrix field in a class.
deserializeRealVector(Object, String, ObjectInputStream) - Static method in class org.hipparchus.linear.MatrixUtils
Deserialize a RealVector field in a class.
df(double, double, double, double) - Method in class org.hipparchus.stat.inference.TTest
Computes approximate degrees of freedom for 2-sample t-test.
Dfp - Class in org.hipparchus.dfp
Decimal floating point library for Java
Dfp(Dfp) - Constructor for class org.hipparchus.dfp.Dfp
Copy constructor.
Dfp(DfpField) - Constructor for class org.hipparchus.dfp.Dfp
Makes an instance with a value of zero.
Dfp(DfpField, byte) - Constructor for class org.hipparchus.dfp.Dfp
Create an instance from a byte value.
Dfp(DfpField, byte, byte) - Constructor for class org.hipparchus.dfp.Dfp
Creates an instance with a non-finite value.
Dfp(DfpField, double) - Constructor for class org.hipparchus.dfp.Dfp
Create an instance from a double value.
Dfp(DfpField, int) - Constructor for class org.hipparchus.dfp.Dfp
Create an instance from an int value.
Dfp(DfpField, long) - Constructor for class org.hipparchus.dfp.Dfp
Create an instance from a long value.
Dfp(DfpField, String) - Constructor for class org.hipparchus.dfp.Dfp
Create an instance from a String representation.
dfp2sci() - Method in class org.hipparchus.dfp.Dfp
Convert an instance to a string using scientific notation.
dfp2string() - Method in class org.hipparchus.dfp.Dfp
Convert an instance to a string using normal notation.
DfpDec - Class in org.hipparchus.dfp
Subclass of Dfp which hides the radix-10000 artifacts of the superclass.
DfpDec(Dfp) - Constructor for class org.hipparchus.dfp.DfpDec
Copy constructor.
DfpDec(DfpField) - Constructor for class org.hipparchus.dfp.DfpDec
Makes an instance with a value of zero.
DfpDec(DfpField, byte) - Constructor for class org.hipparchus.dfp.DfpDec
Create an instance from a byte value.
DfpDec(DfpField, byte, byte) - Constructor for class org.hipparchus.dfp.DfpDec
Creates an instance with a non-finite value.
DfpDec(DfpField, double) - Constructor for class org.hipparchus.dfp.DfpDec
Create an instance from a double value.
DfpDec(DfpField, int) - Constructor for class org.hipparchus.dfp.DfpDec
Create an instance from an int value.
DfpDec(DfpField, long) - Constructor for class org.hipparchus.dfp.DfpDec
Create an instance from a long value.
DfpDec(DfpField, String) - Constructor for class org.hipparchus.dfp.DfpDec
Create an instance from a String representation.
DfpField - Class in org.hipparchus.dfp
Field for Decimal floating point instances.
DfpField(int) - Constructor for class org.hipparchus.dfp.DfpField
Create a factory for the specified number of radix digits.
DfpField.RoundingMode - Enum in org.hipparchus.dfp
Enumerate for rounding modes.
DfpMath - Class in org.hipparchus.dfp
Mathematical routines for use with Dfp.
DftNormalization - Enum in org.hipparchus.transform
This enumeration defines the various types of normalizations that can be applied to discrete Fourier transforms (DFT).
DiagonalMatrix - Class in org.hipparchus.linear
Implementation of a diagonal matrix.
DiagonalMatrix(double[]) - Constructor for class org.hipparchus.linear.DiagonalMatrix
Creates a matrix using the input array as the underlying data.
DiagonalMatrix(double[], boolean) - Constructor for class org.hipparchus.linear.DiagonalMatrix
Creates a matrix using the input array as the underlying data.
DiagonalMatrix(int) - Constructor for class org.hipparchus.linear.DiagonalMatrix
Creates a matrix with the supplied dimension.
difference(Region<S>, Region<S>) - Method in class org.hipparchus.geometry.partitioning.RegionFactory
Compute the difference of two regions.
DIFFERENT_ROWS_LENGTHS - org.hipparchus.exception.LocalizedCoreFormats
 
DIFFERENT_ROWS_LENGTHS - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
differentiate(double[]) - Static method in class org.hipparchus.analysis.polynomials.PolynomialFunction
Returns the coefficients of the derivative of the polynomial with the given coefficients.
differentiate(UnivariateFunction) - Method in class org.hipparchus.analysis.differentiation.FiniteDifferencesDifferentiator
Create an implementation of a differential from a regular function.
differentiate(UnivariateFunction) - Method in interface org.hipparchus.analysis.differentiation.UnivariateFunctionDifferentiator
Create an implementation of a differential from a regular function.
differentiate(UnivariateMatrixFunction) - Method in class org.hipparchus.analysis.differentiation.FiniteDifferencesDifferentiator
Create an implementation of a differential from a regular matrix function.
differentiate(UnivariateMatrixFunction) - Method in interface org.hipparchus.analysis.differentiation.UnivariateMatrixFunctionDifferentiator
Create an implementation of a differential from a regular matrix function.
differentiate(UnivariateVectorFunction) - Method in class org.hipparchus.analysis.differentiation.FiniteDifferencesDifferentiator
Create an implementation of a differential from a regular vector function.
differentiate(UnivariateVectorFunction) - Method in interface org.hipparchus.analysis.differentiation.UnivariateVectorFunctionDifferentiator
Create an implementation of a differential from a regular vector function.
digamma(double) - Static method in class org.hipparchus.special.Gamma
Computes the digamma function of x.
DIGEST_NOT_INITIALIZED - org.hipparchus.exception.LocalizedCoreFormats
 
DIGEST_NOT_INITIALIZED - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
DIMENSION - org.hipparchus.exception.LocalizedCoreFormats
 
DIMENSION - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
DimensionMismatchException - Exception in org.hipparchus.migration.exception
Deprecated.
as of 1.0, this exception is replaced by MathIllegalArgumentException
DimensionMismatchException(int, int) - Constructor for exception org.hipparchus.migration.exception.DimensionMismatchException
Deprecated.
Construct an exception from the mismatched dimensions.
DimensionMismatchException(Localizable, int, int) - Constructor for exception org.hipparchus.migration.exception.DimensionMismatchException
Deprecated.
Construct an exception from the mismatched dimensions.
DIMENSIONS_MISMATCH - org.hipparchus.exception.LocalizedCoreFormats
 
DIMENSIONS_MISMATCH - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
DIMENSIONS_MISMATCH_2x2 - org.hipparchus.exception.LocalizedCoreFormats
 
DIMENSIONS_MISMATCH_2x2 - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
DIMENSIONS_MISMATCH_SIMPLE - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
DIMENSIONS_MISMATCH_SIMPLE - org.hipparchus.migration.LocalizedMigrationFormats
Deprecated.
 
discardFrontElements(int) - Method in class org.hipparchus.util.ResizableDoubleArray
Discards the i initial elements of the array.
discardMostRecentElements(int) - Method in class org.hipparchus.util.ResizableDoubleArray
Discards the i last elements of the array.
DISCRETE_CUMULATIVE_PROBABILITY_RETURNED_NAN - org.hipparchus.exception.LocalizedCoreFormats
 
DISCRETE_CUMULATIVE_PROBABILITY_RETURNED_NAN - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
DiskGenerator - Class in org.hipparchus.geometry.euclidean.twod
Class generating an enclosing ball from its support points.
DiskGenerator() - Constructor for class org.hipparchus.geometry.euclidean.twod.DiskGenerator
 
Display() - Constructor for class org.hipparchus.samples.ClusterAlgorithmComparison.Display
 
Display() - Constructor for class org.hipparchus.samples.clustering.ImageClusteringExample.Display
 
Display() - Constructor for class org.hipparchus.samples.geometry.GeometryExample.Display
 
Display() - Constructor for class org.hipparchus.samples.IntegerDistributionComparison.Display
 
Display() - Constructor for class org.hipparchus.samples.LowDiscrepancyGeneratorComparison.Display
 
Display() - Constructor for class org.hipparchus.samples.RealDistributionComparison.Display
 
distance(double[], double[]) - Static method in class org.hipparchus.util.MathArrays
Calculates the L2 (Euclidean) distance between two points.
distance(int[], int[]) - Static method in class org.hipparchus.util.MathArrays
Calculates the L2 (Euclidean) distance between two points.
distance(Clusterable, Clusterable) - Method in class org.hipparchus.clustering.Clusterer
Calculates the distance between two Clusterable instances with the configured DistanceMeasure.
distance(Clusterable, Clusterable) - Method in class org.hipparchus.clustering.evaluation.ClusterEvaluator
Calculates the distance between two Clusterable instances with the configured DistanceMeasure.
distance(Vector1D, Vector1D) - Static method in class org.hipparchus.geometry.euclidean.oned.Vector1D
Compute the distance between two vectors according to the L2 norm.
distance(FieldLine<T>) - Method in class org.hipparchus.geometry.euclidean.threed.FieldLine
Compute the shortest distance between the instance and another line.
distance(FieldRotation<T>, FieldRotation<T>) - Static method in class org.hipparchus.geometry.euclidean.threed.FieldRotation
Compute the distance between two rotations.
distance(FieldVector3D<T>) - Method in class org.hipparchus.geometry.euclidean.threed.FieldLine
Compute the distance between the instance and a point.
distance(FieldVector3D<T>) - Method in class org.hipparchus.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.hipparchus.geometry.euclidean.threed.FieldVector3D
Compute the distance between two vectors according to the L2 norm.
distance(FieldVector3D<T>, Vector3D) - Static method in class org.hipparchus.geometry.euclidean.threed.FieldVector3D
Compute the distance between two vectors according to the L2 norm.
distance(Line) - Method in class org.hipparchus.geometry.euclidean.threed.Line
Compute the shortest distance between the instance and another line.
distance(Rotation, Rotation) - Static method in class org.hipparchus.geometry.euclidean.threed.Rotation
Compute the distance between two rotations.
distance(Vector3D) - Method in class org.hipparchus.geometry.euclidean.threed.FieldLine
Compute the distance between the instance and a point.
distance(Vector3D) - Method in class org.hipparchus.geometry.euclidean.threed.FieldVector3D
Compute the distance between the instance and another vector according to the L2 norm.
distance(Vector3D) - Method in class org.hipparchus.geometry.euclidean.threed.Line
Compute the distance between the instance and a point.
distance(Vector3D, FieldVector3D<T>) - Static method in class org.hipparchus.geometry.euclidean.threed.FieldVector3D
Compute the distance between two vectors according to the L2 norm.
distance(Vector3D, Vector3D) - Static method in class org.hipparchus.geometry.euclidean.threed.Vector3D
Compute the distance between two vectors according to the L2 norm.
distance(Vector2D) - Method in class org.hipparchus.geometry.euclidean.twod.Line
Compute the distance between the instance and a point.
distance(Vector2D) - Method in class org.hipparchus.geometry.euclidean.twod.Segment
Calculates the shortest distance from a point to this line segment.
distance(Vector2D, Vector2D) - Static method in class org.hipparchus.geometry.euclidean.twod.Vector2D
Compute the distance between two vectors according to the L2 norm.
distance(Point<Euclidean1D>) - Method in class org.hipparchus.geometry.euclidean.oned.Vector1D
Compute the distance between the instance and another point.
distance(Point<Euclidean3D>) - Method in class org.hipparchus.geometry.euclidean.threed.Vector3D
Compute the distance between the instance and another point.
distance(Point<Euclidean2D>) - Method in class org.hipparchus.geometry.euclidean.twod.Vector2D
Compute the distance between the instance and another point.
distance(Point<Sphere1D>) - Method in class org.hipparchus.geometry.spherical.oned.S1Point
Compute the distance between the instance and another point.
distance(Point<Sphere2D>) - Method in class org.hipparchus.geometry.spherical.twod.S2Point
Compute the distance between the instance and another point.
distance(Point<S>) - Method in interface org.hipparchus.geometry.Point
Compute the distance between the instance and another point.
distance(S1Point, S1Point) - Static method in class org.hipparchus.geometry.spherical.oned.S1Point
Compute the distance (angular separation) between two points.
distance(S2Point, S2Point) - Static method in class org.hipparchus.geometry.spherical.twod.S2Point
Compute the distance (angular separation) between two points.
distance1(double[], double[]) - Static method in class org.hipparchus.util.MathArrays
Calculates the L1 (sum of abs) distance between two points.
distance1(int[], int[]) - Static method in class org.hipparchus.util.MathArrays
Calculates the L1 (sum of abs) distance between two points.
distance1(FieldVector3D<T>) - Method in class org.hipparchus.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.hipparchus.geometry.euclidean.threed.FieldVector3D
Compute the distance between two vectors according to the L1 norm.
distance1(FieldVector3D<T>, Vector3D) - Static method in class org.hipparchus.geometry.euclidean.threed.FieldVector3D
Compute the distance between two vectors according to the L1 norm.
distance1(Vector3D) - Method in class org.hipparchus.geometry.euclidean.threed.FieldVector3D
Compute the distance between the instance and another vector according to the L1 norm.
distance1(Vector3D, FieldVector3D<T>) - Static method in class org.hipparchus.geometry.euclidean.threed.FieldVector3D
Compute the distance between two vectors according to the L1 norm.
distance1(Vector3D, Vector3D) - Static method in class org.hipparchus.geometry.euclidean.threed.Vector3D
Compute the distance between two vectors according to the L1 norm.
distance1(Vector<Euclidean1D>) - Method in class org.hipparchus.geometry.euclidean.oned.Vector1D
Compute the distance between the instance and another vector according to the L1 norm.
distance1(Vector<Euclidean3D>) - Method in class org.hipparchus.geometry.euclidean.threed.Vector3D
Compute the distance between the instance and another vector according to the L1 norm.
distance1(Vector<Euclidean2D>) - Method in class org.hipparchus.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.hipparchus.geometry.Vector
Compute the distance between the instance and another vector according to the L1 norm.
distanceInf(double[], double[]) - Static method in class org.hipparchus.util.MathArrays
Calculates the L (max of abs) distance between two points.
distanceInf(int[], int[]) - Static method in class org.hipparchus.util.MathArrays
Calculates the L (max of abs) distance between two points.
distanceInf(Vector1D, Vector1D) - Static method in class org.hipparchus.geometry.euclidean.oned.Vector1D
Compute the distance between two vectors according to the L norm.
distanceInf(FieldVector3D<T>) - Method in class org.hipparchus.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.hipparchus.geometry.euclidean.threed.FieldVector3D
Compute the distance between two vectors according to the L norm.
distanceInf(FieldVector3D<T>, Vector3D) - Static method in class org.hipparchus.geometry.euclidean.threed.FieldVector3D
Compute the distance between two vectors according to the L norm.
distanceInf(Vector3D) - Method in class org.hipparchus.geometry.euclidean.threed.FieldVector3D
Compute the distance between the instance and another vector according to the L norm.
distanceInf(Vector3D, FieldVector3D<T>) - Static method in class org.hipparchus.geometry.euclidean.threed.FieldVector3D
Compute the distance between two vectors according to the L norm.
distanceInf(Vector3D, Vector3D) - Static method in class org.hipparchus.geometry.euclidean.threed.Vector3D
Compute the distance between two vectors according to the L norm.
distanceInf(Vector2D, Vector2D) - Static method in class org.hipparchus.geometry.euclidean.twod.Vector2D
Compute the distance between two vectors according to the L norm.
distanceInf(Vector<Euclidean1D>) - Method in class org.hipparchus.geometry.euclidean.oned.Vector1D
Compute the distance between the instance and another vector according to the L norm.
distanceInf(Vector<Euclidean3D>) - Method in class org.hipparchus.geometry.euclidean.threed.Vector3D
Compute the distance between the instance and another vector according to the L norm.
distanceInf(Vector<Euclidean2D>) - Method in class org.hipparchus.geometry.euclidean.twod.Vector2D
Compute the distance between the instance and another vector according to the L norm.
distanceInf(Vector<S>) - Method in interface org.hipparchus.geometry.Vector
Compute the distance between the instance and another vector according to the L norm.
DistanceMeasure - Interface in org.hipparchus.clustering.distance
Interface for distance measures of n-dimensional vectors.
distanceSq(Vector1D, Vector1D) - Static method in class org.hipparchus.geometry.euclidean.oned.Vector1D
Compute the square of the distance between two vectors.
distanceSq(FieldVector3D<T>) - Method in class org.hipparchus.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.hipparchus.geometry.euclidean.threed.FieldVector3D
Compute the square of the distance between two vectors.
distanceSq(FieldVector3D<T>, Vector3D) - Static method in class org.hipparchus.geometry.euclidean.threed.FieldVector3D
Compute the square of the distance between two vectors.
distanceSq(Vector3D) - Method in class org.hipparchus.geometry.euclidean.threed.FieldVector3D
Compute the square of the distance between the instance and another vector.
distanceSq(Vector3D, FieldVector3D<T>) - Static method in class org.hipparchus.geometry.euclidean.threed.FieldVector3D
Compute the square of the distance between two vectors.
distanceSq(Vector3D, Vector3D) - Static method in class org.hipparchus.geometry.euclidean.threed.Vector3D
Compute the square of the distance between two vectors.
distanceSq(Vector2D, Vector2D) - Static method in class org.hipparchus.geometry.euclidean.twod.Vector2D
Compute the square of the distance between two vectors.
distanceSq(Vector<Euclidean1D>) - Method in class org.hipparchus.geometry.euclidean.oned.Vector1D
Compute the square of the distance between the instance and another vector.
distanceSq(Vector<Euclidean3D>) - Method in class org.hipparchus.geometry.euclidean.threed.Vector3D
Compute the square of the distance between the instance and another vector.
distanceSq(Vector<Euclidean2D>) - Method in class org.hipparchus.geometry.euclidean.twod.Vector2D
Compute the square of the distance between the instance and another vector.
distanceSq(Vector<S>) - Method in interface org.hipparchus.geometry.Vector
Compute the square of the distance between the instance and another vector.
DISTRIBUTION_NOT_LOADED - org.hipparchus.exception.LocalizedCoreFormats
 
DISTRIBUTION_NOT_LOADED - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
divide(double) - Method in class org.hipparchus.analysis.differentiation.DerivativeStructure
'÷' operator.
divide(double) - Method in class org.hipparchus.analysis.differentiation.FieldDerivativeStructure
'÷' operator.
divide(double) - Method in class org.hipparchus.analysis.differentiation.SparseGradient
'÷' operator.
divide(double) - Method in class org.hipparchus.complex.Complex
Returns a Complex whose value is (this / divisor), with divisor interpreted as a real number.
divide(double) - Method in class org.hipparchus.dfp.Dfp
'÷' operator.
divide(double) - Method in interface org.hipparchus.RealFieldElement
'÷' operator.
divide(double) - Method in class org.hipparchus.util.Decimal64
'÷' operator.
divide(double) - Method in class org.hipparchus.util.FieldTuple
'÷' operator.
divide(double) - Method in class org.hipparchus.util.Tuple
'÷' operator.
divide(double[], int, double[], int, double[], int) - Method in class org.hipparchus.analysis.differentiation.DSCompiler
Perform division of two derivative structures.
divide(int) - Method in class org.hipparchus.dfp.Dfp
Divide by a single digit less than radix.
divide(int) - Method in class org.hipparchus.fraction.BigFraction
Divide the value of this fraction by the passed int, ie this * 1 / i, returning the result in reduced form.
divide(int) - Method in class org.hipparchus.fraction.Fraction
Divide the fraction by an integer.
divide(long) - Method in class org.hipparchus.fraction.BigFraction
Divide the value of this fraction by the passed long, ie this * 1 / l, returning the result in reduced form.
divide(BigInteger) - Method in class org.hipparchus.fraction.BigFraction
Divide the value of this fraction by the passed BigInteger, ie this * 1 / bg, returning the result in reduced form.
divide(DerivativeStructure) - Method in class org.hipparchus.analysis.differentiation.DerivativeStructure
Compute this ÷ a.
divide(FieldDerivativeStructure<T>) - Method in class org.hipparchus.analysis.differentiation.FieldDerivativeStructure
Compute this ÷ a.
divide(SparseGradient) - Method in class org.hipparchus.analysis.differentiation.SparseGradient
Compute this ÷ a.
divide(Complex) - Method in class org.hipparchus.complex.Complex
Returns a Complex whose value is (this / divisor).
divide(Dfp) - Method in class org.hipparchus.dfp.Dfp
Divide this by divisor.
divide(BigFraction) - Method in class org.hipparchus.fraction.BigFraction
Divide the value of this fraction by another, returning the result in reduced form.
divide(Fraction) - Method in class org.hipparchus.fraction.Fraction
Divide the value of this fraction by another.
divide(BigReal) - Method in class org.hipparchus.util.BigReal
Compute this ÷ a.
divide(Decimal64) - Method in class org.hipparchus.util.Decimal64
Compute this ÷ a.
divide(FieldTuple<T>) - Method in class org.hipparchus.util.FieldTuple
Compute this ÷ a.
divide(Tuple) - Method in class org.hipparchus.util.Tuple
Compute this ÷ a.
divide(T) - Method in class org.hipparchus.analysis.differentiation.FieldDerivativeStructure
'÷' operator.
divide(T) - Method in interface org.hipparchus.FieldElement
Compute this ÷ a.
divide(T[], int, T[], int, T[], int) - Method in class org.hipparchus.analysis.differentiation.DSCompiler
Perform division of two derivative structures.
Divide - Class in org.hipparchus.analysis.function
Divide the first operand by the second.
Divide() - Constructor for class org.hipparchus.analysis.function.Divide
 
DividedDifferenceInterpolator - Class in org.hipparchus.analysis.interpolation
Implements the Divided Difference Algorithm for interpolation of real univariate functions.
DividedDifferenceInterpolator() - Constructor for class org.hipparchus.analysis.interpolation.DividedDifferenceInterpolator
 
divideUnsigned(int, int) - Static method in class org.hipparchus.util.ArithmeticUtils
Returns the unsigned quotient of dividing the first argument by the second where each argument and the result is interpreted as an unsigned value.
divideUnsigned(long, long) - Static method in class org.hipparchus.util.ArithmeticUtils
Returns the unsigned quotient of dividing the first argument by the second where each argument and the result is interpreted as an unsigned value.
doEvent(FieldODEStateAndDerivative<T>) - Method in class org.hipparchus.ode.events.FieldEventState
Notify the user's listener of the event.
doEvent(ODEStateAndDerivative) - Method in class org.hipparchus.ode.events.EventState
Notify the user's listener of the event.
doIntegrate() - Method in class org.hipparchus.analysis.integration.BaseAbstractUnivariateIntegrator
Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.hipparchus.analysis.integration.IterativeLegendreGaussIntegrator
Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.hipparchus.analysis.integration.MidPointIntegrator
Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.hipparchus.analysis.integration.RombergIntegrator
Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.hipparchus.analysis.integration.SimpsonIntegrator
Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.hipparchus.analysis.integration.TrapezoidIntegrator
Method for implementing actual integration algorithms in derived classes.
doIteration(SimplexTableau) - Method in class org.hipparchus.optim.linear.SimplexSolver
Runs one iteration of the Simplex method on the given model.
doOptimize() - Method in class org.hipparchus.optim.BaseMultiStartMultivariateOptimizer
Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.hipparchus.optim.BaseOptimizer
Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.hipparchus.optim.linear.SimplexSolver
Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.hipparchus.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.hipparchus.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.hipparchus.optim.nonlinear.scalar.noderiv.CMAESOptimizer
Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.hipparchus.optim.nonlinear.scalar.noderiv.PowellOptimizer
Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.hipparchus.optim.nonlinear.scalar.noderiv.SimplexOptimizer
Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.hipparchus.optim.univariate.BrentOptimizer
Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.hipparchus.optim.univariate.MultiStartUnivariateOptimizer
Performs the bulk of the optimization algorithm.
DormandPrince54FieldIntegrator<T extends RealFieldElement<T>> - Class in org.hipparchus.ode.nonstiff
This class implements the 5(4) Dormand-Prince integrator for Ordinary Differential Equations.
DormandPrince54FieldIntegrator(Field<T>, double, double, double[], double[]) - Constructor for class org.hipparchus.ode.nonstiff.DormandPrince54FieldIntegrator
Simple constructor.
DormandPrince54FieldIntegrator(Field<T>, double, double, double, double) - Constructor for class org.hipparchus.ode.nonstiff.DormandPrince54FieldIntegrator
Simple constructor.
DormandPrince54Integrator - Class in org.hipparchus.ode.nonstiff
This class implements the 5(4) Dormand-Prince integrator for Ordinary Differential Equations.
DormandPrince54Integrator(double, double, double[], double[]) - Constructor for class org.hipparchus.ode.nonstiff.DormandPrince54Integrator
Simple constructor.
DormandPrince54Integrator(double, double, double, double) - Constructor for class org.hipparchus.ode.nonstiff.DormandPrince54Integrator
Simple constructor.
DormandPrince853FieldIntegrator<T extends RealFieldElement<T>> - Class in org.hipparchus.ode.nonstiff
This class implements the 8(5,3) Dormand-Prince integrator for Ordinary Differential Equations.
DormandPrince853FieldIntegrator(Field<T>, double, double, double[], double[]) - Constructor for class org.hipparchus.ode.nonstiff.DormandPrince853FieldIntegrator
Simple constructor.
DormandPrince853FieldIntegrator(Field<T>, double, double, double, double) - Constructor for class org.hipparchus.ode.nonstiff.DormandPrince853FieldIntegrator
Simple constructor.
DormandPrince853Integrator - Class in org.hipparchus.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.hipparchus.ode.nonstiff.DormandPrince853Integrator
Simple constructor.
DormandPrince853Integrator(double, double, double, double) - Constructor for class org.hipparchus.ode.nonstiff.DormandPrince853Integrator
Simple constructor.
doSolve() - Method in class org.hipparchus.analysis.solvers.BaseAbstractUnivariateSolver
Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.hipparchus.analysis.solvers.BaseSecantSolver
Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.hipparchus.analysis.solvers.BisectionSolver
Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.hipparchus.analysis.solvers.BracketingNthOrderBrentSolver
Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.hipparchus.analysis.solvers.BrentSolver
Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.hipparchus.analysis.solvers.LaguerreSolver
Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.hipparchus.analysis.solvers.MullerSolver
Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.hipparchus.analysis.solvers.MullerSolver2
Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.hipparchus.analysis.solvers.NewtonRaphsonSolver
Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.hipparchus.analysis.solvers.RiddersSolver
Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.hipparchus.analysis.solvers.SecantSolver
Method for implementing actual optimization algorithms in derived classes.
doSolveInterval() - Method in class org.hipparchus.analysis.solvers.BaseSecantSolver
Find a root and return the containing interval.
doSolveInterval() - Method in class org.hipparchus.analysis.solvers.BracketingNthOrderBrentSolver
Find a root and return the containing interval.
dotProduct(Quaternion) - Method in class org.hipparchus.complex.Quaternion
Computes the dot-product of the instance by a quaternion.
dotProduct(Quaternion, Quaternion) - Static method in class org.hipparchus.complex.Quaternion
Computes the dot-product of two quaternions.
dotProduct(FieldVector3D<T>) - Method in class org.hipparchus.geometry.euclidean.threed.FieldVector3D
Compute the dot-product of the instance and another vector.
dotProduct(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.hipparchus.geometry.euclidean.threed.FieldVector3D
Compute the dot-product of two vectors.
dotProduct(FieldVector3D<T>, Vector3D) - Static method in class org.hipparchus.geometry.euclidean.threed.FieldVector3D
Compute the dot-product of two vectors.
dotProduct(Vector3D) - Method in class org.hipparchus.geometry.euclidean.threed.FieldVector3D
Compute the dot-product of the instance and another vector.
dotProduct(Vector3D, FieldVector3D<T>) - Static method in class org.hipparchus.geometry.euclidean.threed.FieldVector3D
Compute the dot-product of two vectors.
dotProduct(Vector3D, Vector3D) - Static method in class org.hipparchus.geometry.euclidean.threed.Vector3D
Compute the dot-product of two vectors.
dotProduct(Vector<Euclidean1D>) - Method in class org.hipparchus.geometry.euclidean.oned.Vector1D
Compute the dot-product of the instance and another vector.
dotProduct(Vector<Euclidean3D>) - Method in class org.hipparchus.geometry.euclidean.threed.Vector3D
Compute the dot-product of the instance and another vector.
dotProduct(Vector<Euclidean2D>) - Method in class org.hipparchus.geometry.euclidean.twod.Vector2D
Compute the dot-product of the instance and another vector.
dotProduct(Vector<S>) - Method in interface org.hipparchus.geometry.Vector
Compute the dot-product of the instance and another vector.
dotProduct(ArrayFieldVector<T>) - Method in class org.hipparchus.linear.ArrayFieldVector
Compute the dot product.
dotProduct(FieldVector<T>) - Method in class org.hipparchus.linear.ArrayFieldVector
Compute the dot product.
dotProduct(FieldVector<T>) - Method in interface org.hipparchus.linear.FieldVector
Compute the dot product.
dotProduct(FieldVector<T>) - Method in class org.hipparchus.linear.SparseFieldVector
Compute the dot product.
dotProduct(RealVector) - Method in class org.hipparchus.linear.ArrayRealVector
Compute the dot product of this vector with v.
dotProduct(RealVector) - Method in class org.hipparchus.linear.RealVector
Compute the dot product of this vector with v.
dotrap(int, String, Dfp, Dfp) - Method in class org.hipparchus.dfp.Dfp
Raises a trap.
DoublePoint - Class in org.hipparchus.clustering
A simple implementation of Clusterable for points with double coordinates.
DoublePoint(double[]) - Constructor for class org.hipparchus.clustering.DoublePoint
Build an instance wrapping an double array.
DoublePoint(int[]) - Constructor for class org.hipparchus.clustering.DoublePoint
Build an instance wrapping an integer array.
doubleValue() - Method in class org.hipparchus.fraction.BigFraction
Gets the fraction as a double.
doubleValue() - Method in class org.hipparchus.fraction.Fraction
Gets the fraction as a double.
doubleValue() - Method in class org.hipparchus.util.BigReal
Get the double value corresponding to the instance.
doubleValue() - Method in class org.hipparchus.util.Decimal64
DOWNSIDE - org.hipparchus.stat.descriptive.moment.SemiVariance.Direction
The DOWNSIDE Direction is used to specify that the observations below the cutoff point will be used to calculate SemiVariance
DOWNSIDE_VARIANCE - Static variable in class org.hipparchus.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.hipparchus.analysis.differentiation
Class holding "compiled" computation rules for derivative structures.
DSFactory - Class in org.hipparchus.analysis.differentiation
Factory for DerivativeStructure.
DSFactory(int, int) - Constructor for class org.hipparchus.analysis.differentiation.DSFactory
Simple constructor.
DstNormalization - Enum in org.hipparchus.transform
This enumeration defines the various types of normalizations that can be applied to discrete sine transforms (DST).
DummyLocalizable - Class in org.hipparchus.exception
Dummy implementation of the Localizable interface, without localization.
DummyLocalizable(String) - Constructor for class org.hipparchus.exception.DummyLocalizable
Simple constructor.
DummyStepHandler - Class in org.hipparchus.migration.ode.sampling
Deprecated.
as of 1.0, this class is not used anymore
DUPLICATED_ABSCISSA_DIVISION_BY_ZERO - org.hipparchus.exception.LocalizedCoreFormats
 
DUPLICATED_ABSCISSA_DIVISION_BY_ZERO - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 

E

E - Static variable in class org.hipparchus.util.FastMath
Napier's constant e, base of the natural logarithm.
EarthMoversDistance - Class in org.hipparchus.clustering.distance
Calculates the Earh Mover's distance (also known as Wasserstein metric) between two distributions.
EarthMoversDistance() - Constructor for class org.hipparchus.clustering.distance.EarthMoversDistance
 
ebeAdd(double[], double[]) - Static method in class org.hipparchus.util.MathArrays
Creates an array whose contents will be the element-by-element addition of the arguments.
ebeDivide(double[], double[]) - Static method in class org.hipparchus.util.MathArrays
Creates an array whose contents will be the element-by-element division of the first argument by the second.
ebeDivide(ArrayFieldVector<T>) - Method in class org.hipparchus.linear.ArrayFieldVector
Element-by-element division.
ebeDivide(FieldVector<T>) - Method in class org.hipparchus.linear.ArrayFieldVector
Element-by-element division.
ebeDivide(FieldVector<T>) - Method in interface org.hipparchus.linear.FieldVector
Element-by-element division.
ebeDivide(FieldVector<T>) - Method in class org.hipparchus.linear.SparseFieldVector
Element-by-element division.
ebeDivide(RealVector) - Method in class org.hipparchus.linear.ArrayRealVector
Element-by-element division.
ebeDivide(RealVector) - Method in class org.hipparchus.linear.OpenMapRealVector
Element-by-element division.
ebeDivide(RealVector) - Method in class org.hipparchus.linear.RealVector
Element-by-element division.
ebeMultiply(double[], double[]) - Static method in class org.hipparchus.util.MathArrays
Creates an array whose contents will be the element-by-element multiplication of the arguments.
ebeMultiply(ArrayFieldVector<T>) - Method in class org.hipparchus.linear.ArrayFieldVector
Element-by-element multiplication.
ebeMultiply(FieldVector<T>) - Method in class org.hipparchus.linear.ArrayFieldVector
Element-by-element multiplication.
ebeMultiply(FieldVector<T>) - Method in interface org.hipparchus.linear.FieldVector
Element-by-element multiplication.
ebeMultiply(FieldVector<T>) - Method in class org.hipparchus.linear.SparseFieldVector
Element-by-element multiplication.
ebeMultiply(RealVector) - Method in class org.hipparchus.linear.ArrayRealVector
Element-by-element multiplication.
ebeMultiply(RealVector) - Method in class org.hipparchus.linear.OpenMapRealVector
Element-by-element multiplication.
ebeMultiply(RealVector) - Method in class org.hipparchus.linear.RealVector
Element-by-element multiplication.
ebeSubtract(double[], double[]) - Static method in class org.hipparchus.util.MathArrays
Creates an array whose contents will be the element-by-element subtraction of the second argument from the first.
Edge - Class in org.hipparchus.geometry.spherical.twod
Spherical polygons boundary edge.
EDGE_CONNECTED_TO_ONE_FACET - org.hipparchus.geometry.LocalizedGeometryFormats
 
EDGE_CONNECTED_TO_ONE_FACET - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
EigenDecomposition - Class in org.hipparchus.linear
Calculates the eigen decomposition of a real matrix.
EigenDecomposition(double[], double[]) - Constructor for class org.hipparchus.linear.EigenDecomposition
Calculates the eigen decomposition of the symmetric tridiagonal matrix.
EigenDecomposition(RealMatrix) - Constructor for class org.hipparchus.linear.EigenDecomposition
Calculates the eigen decomposition of the given real matrix.
EmbeddedRungeKuttaFieldIntegrator<T extends RealFieldElement<T>> - Class in org.hipparchus.ode.nonstiff
This class implements the common part of all embedded Runge-Kutta integrators for Ordinary Differential Equations.
EmbeddedRungeKuttaFieldIntegrator(Field<T>, String, int, double, double, double[], double[]) - Constructor for class org.hipparchus.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
Build a Runge-Kutta integrator with the given Butcher array.
EmbeddedRungeKuttaFieldIntegrator(Field<T>, String, int, double, double, double, double) - Constructor for class org.hipparchus.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
Build a Runge-Kutta integrator with the given Butcher array.
EmbeddedRungeKuttaIntegrator - Class in org.hipparchus.ode.nonstiff
This class implements the common part of all embedded Runge-Kutta integrators for Ordinary Differential Equations.
EmbeddedRungeKuttaIntegrator(String, int, double, double, double[], double[]) - Constructor for class org.hipparchus.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Build a Runge-Kutta integrator with the given Butcher array.
EmbeddedRungeKuttaIntegrator(String, int, double, double, double, double) - Constructor for class org.hipparchus.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Build a Runge-Kutta integrator with the given Butcher array.
Embedding<S extends Space,​T extends Space> - Interface in org.hipparchus.geometry.partitioning
This interface defines mappers between a space and one of its sub-spaces.
EmpiricalDistribution - Class in org.hipparchus.stat.fitting
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.hipparchus.stat.fitting.EmpiricalDistribution
Creates a new EmpiricalDistribution with the default bin count.
EmpiricalDistribution(int) - Constructor for class org.hipparchus.stat.fitting.EmpiricalDistribution
Creates a new EmpiricalDistribution with the specified bin count.
EmpiricalDistribution(int, RandomGenerator) - Constructor for class org.hipparchus.stat.fitting.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.hipparchus.stat.fitting.EmpiricalDistribution
Creates a new EmpiricalDistribution with default bin count using the provided RandomGenerator as the source of random data.
EMPTY_CLUSTER_IN_K_MEANS - org.hipparchus.clustering.LocalizedClusteringFormats
 
EMPTY_CLUSTER_IN_K_MEANS - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
EMPTY_INTERPOLATION_SAMPLE - org.hipparchus.exception.LocalizedCoreFormats
 
EMPTY_INTERPOLATION_SAMPLE - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
EMPTY_POLYNOMIALS_COEFFICIENTS_ARRAY - org.hipparchus.exception.LocalizedCoreFormats
 
EMPTY_POLYNOMIALS_COEFFICIENTS_ARRAY - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
EMPTY_SELECTED_COLUMN_INDEX_ARRAY - org.hipparchus.exception.LocalizedCoreFormats
 
EMPTY_SELECTED_COLUMN_INDEX_ARRAY - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
EMPTY_SELECTED_ROW_INDEX_ARRAY - org.hipparchus.exception.LocalizedCoreFormats
 
EMPTY_SELECTED_ROW_INDEX_ARRAY - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
EMPTY_STRING_FOR_IMAGINARY_CHARACTER - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
EMPTY_STRING_FOR_IMAGINARY_CHARACTER - org.hipparchus.migration.LocalizedMigrationFormats
Deprecated.
 
emptyHyperplane() - Method in class org.hipparchus.geometry.euclidean.oned.OrientedPoint
Build a sub-hyperplane covering nothing.
emptyHyperplane() - Method in class org.hipparchus.geometry.euclidean.threed.Plane
Build a sub-hyperplane covering nothing.
emptyHyperplane() - Method in class org.hipparchus.geometry.euclidean.twod.Line
Build a sub-hyperplane covering nothing.
emptyHyperplane() - Method in interface org.hipparchus.geometry.partitioning.Hyperplane
Build a sub-hyperplane covering nothing.
emptyHyperplane() - Method in class org.hipparchus.geometry.spherical.oned.LimitAngle
Build a sub-hyperplane covering nothing.
emptyHyperplane() - Method in class org.hipparchus.geometry.spherical.twod.Circle
Build a sub-hyperplane covering nothing.
enclose(Iterable<P>) - Method in interface org.hipparchus.geometry.enclosing.Encloser
Find a ball enclosing a list of points.
enclose(Iterable<P>) - Method in class org.hipparchus.geometry.enclosing.WelzlEncloser
Find a ball enclosing a list of points.
Encloser<S extends Space,​P extends Point<S>> - Interface in org.hipparchus.geometry.enclosing
Interface for algorithms computing enclosing balls.
EnclosingBall<S extends Space,​P extends Point<S>> - Class in org.hipparchus.geometry.enclosing
This class represents a ball enclosing some points.
EnclosingBall(P, double, P...) - Constructor for class org.hipparchus.geometry.enclosing.EnclosingBall
Simple constructor.
end() - Method in class org.hipparchus.linear.DefaultFieldMatrixChangingVisitor
End visiting a matrix.
end() - Method in class org.hipparchus.linear.DefaultFieldMatrixPreservingVisitor
End visiting a matrix.
end() - Method in class org.hipparchus.linear.DefaultRealMatrixChangingVisitor
End visiting a matrix.
end() - Method in class org.hipparchus.linear.DefaultRealMatrixPreservingVisitor
End visiting a matrix.
end() - Method in interface org.hipparchus.linear.FieldMatrixChangingVisitor
End visiting a matrix.
end() - Method in interface org.hipparchus.linear.FieldMatrixPreservingVisitor
End visiting a matrix.
end() - Method in interface org.hipparchus.linear.FieldVectorChangingVisitor
End visiting a vector.
end() - Method in interface org.hipparchus.linear.FieldVectorPreservingVisitor
End visiting a vector.
end() - Method in interface org.hipparchus.linear.RealMatrixChangingVisitor
End visiting a matrix.
end() - Method in interface org.hipparchus.linear.RealMatrixPreservingVisitor
End visiting a matrix.
end() - Method in interface org.hipparchus.linear.RealVectorChangingVisitor
End visiting a vector.
end() - Method in interface org.hipparchus.linear.RealVectorPreservingVisitor
End visiting a vector.
ENDPOINTS_NOT_AN_INTERVAL - org.hipparchus.exception.LocalizedCoreFormats
 
ENDPOINTS_NOT_AN_INTERVAL - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
Entry() - Constructor for class org.hipparchus.linear.RealVector.Entry
Simple constructor.
entrySetIterator() - Method in class org.hipparchus.stat.Frequency
Return an Iterator over the set of keys and values that have been added.
EnumeratedDistribution<T> - Class in org.hipparchus.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.hipparchus.distribution.EnumeratedDistribution
Create an enumerated distribution using the given probability mass function enumeration.
EnumeratedIntegerDistribution - Class in org.hipparchus.distribution.discrete
Implementation of an integer-valued EnumeratedDistribution.
EnumeratedIntegerDistribution(int[]) - Constructor for class org.hipparchus.distribution.discrete.EnumeratedIntegerDistribution
Create a discrete integer-valued distribution from the input data.
EnumeratedIntegerDistribution(int[], double[]) - Constructor for class org.hipparchus.distribution.discrete.EnumeratedIntegerDistribution
Create a discrete distribution using the given probability mass function definition.
EnumeratedRealDistribution - Class in org.hipparchus.distribution.continuous
Implementation of a real-valued EnumeratedDistribution.
EnumeratedRealDistribution(double[]) - Constructor for class org.hipparchus.distribution.continuous.EnumeratedRealDistribution
Create a discrete real-valued distribution from the input data.
EnumeratedRealDistribution(double[], double[]) - Constructor for class org.hipparchus.distribution.continuous.EnumeratedRealDistribution
Create a discrete real-valued distribution using the given probability mass function enumeration.
EPSILON - Static variable in class org.hipparchus.util.Precision
Largest double-precision floating-point number such that 1 + EPSILON is numerically equal to 1.
EQ - org.hipparchus.optim.linear.Relationship
Equality relationship.
EQUAL_VERTICES_IN_SIMPLEX - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
EQUAL_VERTICES_IN_SIMPLEX - org.hipparchus.optim.LocalizedOptimFormats
 
equals(double[], double[]) - Static method in class org.hipparchus.util.MathArrays
Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by Precision.equals(double,double).
equals(double, double) - Static method in class org.hipparchus.util.MathUtils
Returns true if the values are equal according to semantics of Double.equals(Object).
equals(double, double) - Static method in class org.hipparchus.util.Precision
Returns true iff they are equal as defined by equals(x, y, 1).
equals(double, double, double) - Static method in class org.hipparchus.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.hipparchus.util.Precision
Returns true if the arguments are equal or within the range of allowed error (inclusive).
equals(float[], float[]) - Static method in class org.hipparchus.util.MathArrays
Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by Precision.equals(float,float).
equals(float, float) - Static method in class org.hipparchus.util.Precision
Returns true iff they are equal as defined by equals(x, y, 1).
equals(float, float, float) - Static method in class org.hipparchus.util.Precision
Returns true if the arguments are equal or within the range of allowed error (inclusive).
equals(float, float, int) - Static method in class org.hipparchus.util.Precision
Returns true if the arguments are equal or within the range of allowed error (inclusive).
equals(Object) - Method in class org.hipparchus.analysis.differentiation.DerivativeStructure
Test for the equality of two derivative structures.
equals(Object) - Method in class org.hipparchus.analysis.differentiation.SparseGradient
Test for the equality of two sparse gradients.
equals(Object) - Method in class org.hipparchus.analysis.polynomials.PolynomialFunction
equals(Object) - Method in class org.hipparchus.clustering.DoublePoint
equals(Object) - Method in class org.hipparchus.complex.Complex
Test for equality with another object.
equals(Object) - Method in class org.hipparchus.complex.ComplexField
equals(Object) - Method in class org.hipparchus.complex.Quaternion
equals(Object) - Method in class org.hipparchus.dfp.Dfp
Check if instance is equal to x.
equals(Object) - Method in class org.hipparchus.dfp.DfpField
equals(Object) - Method in class org.hipparchus.fraction.BigFraction
Test for the equality of two fractions.
equals(Object) - Method in class org.hipparchus.fraction.BigFractionField
equals(Object) - Method in class org.hipparchus.fraction.Fraction
Test for the equality of two fractions.
equals(Object) - Method in class org.hipparchus.fraction.FractionField
equals(Object) - Method in class org.hipparchus.geometry.euclidean.oned.Vector1D
Test for the equality of two 1D vectors.
equals(Object) - Method in class org.hipparchus.geometry.euclidean.threed.FieldVector3D
Test for the equality of two 3D vectors.
equals(Object) - Method in class org.hipparchus.geometry.euclidean.threed.Vector3D
Test for the equality of two 3D vectors.
equals(Object) - Method in class org.hipparchus.geometry.euclidean.twod.Vector2D
Test for the equality of two 2D vectors.
equals(Object) - Method in class org.hipparchus.geometry.spherical.oned.S1Point
Test for the equality of two points on the 2-sphere.
equals(Object) - Method in class org.hipparchus.geometry.spherical.twod.S2Point
Test for the equality of two points on the 2-sphere.
equals(Object) - Method in class org.hipparchus.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.hipparchus.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.hipparchus.linear.ArrayFieldVector
Test for the equality of two vectors.
equals(Object) - Method in class org.hipparchus.linear.ArrayRealVector
Test for the equality of two real vectors.
equals(Object) - Method in class org.hipparchus.linear.OpenMapRealVector
Test for the equality of two real vectors.
equals(Object) - Method in class org.hipparchus.linear.RealVector
Test for the equality of two real vectors.
equals(Object) - Method in class org.hipparchus.linear.SparseFieldVector
equals(Object) - Method in class org.hipparchus.optim.linear.LinearConstraint
equals(Object) - Method in class org.hipparchus.optim.linear.LinearObjectiveFunction
equals(Object) - Method in class org.hipparchus.stat.descriptive.AbstractStorelessUnivariateStatistic
Returns true iff object is the same type of StorelessUnivariateStatistic (the object's class equals this instance) returning the same values as this for getResult() and getN().
equals(Object) - Method in class org.hipparchus.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.hipparchus.stat.descriptive.rank.PSquarePercentile
Returns true iff o is a PSquarePercentile returning the same values as this for getResult() and getN() and also having equal markers
equals(Object) - Method in class org.hipparchus.stat.descriptive.StatisticalSummaryValues
Returns true iff object is a StatisticalSummary instance and all statistics have the same values as this.
equals(Object) - Method in class org.hipparchus.stat.descriptive.StreamingStatistics
Returns true iff object is a StreamingStatistics instance and all statistics have the same values as this.
equals(Object) - Method in class org.hipparchus.stat.descriptive.vector.VectorialCovariance
equals(Object) - Method in class org.hipparchus.stat.descriptive.vector.VectorialStorelessStatistic
equals(Object) - Method in class org.hipparchus.stat.Frequency
equals(Object) - Method in class org.hipparchus.util.BigReal
equals(Object) - Method in class org.hipparchus.util.BigRealField
equals(Object) - Method in class org.hipparchus.util.Decimal64
equals(Object) - Method in class org.hipparchus.util.Decimal64Field
equals(Object) - Method in class org.hipparchus.util.FieldTuple
equals(Object) - Method in class org.hipparchus.util.Pair
Compare the specified object with this entry for equality.
equals(Object) - Method in class org.hipparchus.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.hipparchus.util.Tuple
equals(Complex, Complex) - Static method in class org.hipparchus.complex.Complex
Returns true iff the values are equal as defined by equals(x, y, 1).
equals(Complex, Complex, double) - Static method in class org.hipparchus.complex.Complex
Returns true if, both for the real part and for the imaginary part, there is no double value strictly between the arguments or the difference between them is within the range of allowed error (inclusive).
equals(Complex, Complex, int) - Static method in class org.hipparchus.complex.Complex
Test for the floating-point equality between Complex objects.
equals(Quaternion, double) - Method in class org.hipparchus.complex.Quaternion
Checks whether this instance is equal to another quaternion within a given tolerance.
equalsIncludingNaN(double[], double[]) - Static method in class org.hipparchus.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.hipparchus.util.Precision
Returns true if the arguments are both NaN or they are equal as defined by equals(x, y, 1).
equalsIncludingNaN(double, double, double) - Static method in class org.hipparchus.util.Precision
Returns true if the arguments are both NaN, are equal or are within the range of allowed error (inclusive).
equalsIncludingNaN(double, double, int) - Static method in class org.hipparchus.util.Precision
Returns true if both arguments are NaN or if they are equal as defined by equals(x, y, maxUlps).
equalsIncludingNaN(float[], float[]) - Static method in class org.hipparchus.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.hipparchus.util.Precision
Returns true if both arguments are NaN or they are equal as defined by equals(x, y, 1).
equalsIncludingNaN(float, float, float) - Static method in class org.hipparchus.util.Precision
Returns true if the arguments are both NaN, are equal, or are within the range of allowed error (inclusive).
equalsIncludingNaN(float, float, int) - Static method in class org.hipparchus.util.Precision
Returns true if the arguments are both NaN or if they are equal as defined by equals(x, y, maxUlps).
equalsWithRelativeTolerance(double, double, double) - Static method in class org.hipparchus.util.Precision
Returns true if there is no double value strictly between the arguments or the relative difference between them is less than or equal to the given tolerance.
equalsWithRelativeTolerance(Complex, Complex, double) - Static method in class org.hipparchus.complex.Complex
Returns true if, both for the real part and for the imaginary part, there is no double value strictly between the arguments or the relative difference between them is smaller or equal to the given tolerance.
EquationsMapper - Class in org.hipparchus.ode
Class mapping the part of a complete state or derivative that pertains to a specific differential equation.
erf(double) - Static method in class org.hipparchus.special.Erf
Returns the error function.
erf(double, double) - Static method in class org.hipparchus.special.Erf
Returns the difference between erf(x1) and erf(x2).
Erf - Class in org.hipparchus.special
This is a utility class that provides computation methods related to the error functions.
erfc(double) - Static method in class org.hipparchus.special.Erf
Returns the complementary error function.
erfcInv(double) - Static method in class org.hipparchus.special.Erf
Returns the inverse erfc.
erfInv(double) - Static method in class org.hipparchus.special.Erf
Returns the inverse erf.
ERR_SCALE - Static variable in class org.hipparchus.dfp.Dfp
The amount under/overflows are scaled by before going to trap handler
ERROR - org.hipparchus.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
Generate an error.
estimate(double[][], int) - Static method in class org.hipparchus.stat.fitting.MultivariateNormalMixtureExpectationMaximization
Helper method to create a multivariate normal mixture model which can be used to initialize MultivariateNormalMixtureExpectationMaximization.fit(MixtureMultivariateNormalDistribution).
estimate(double[], int[], double, int, KthSelector) - Method in enum org.hipparchus.stat.descriptive.rank.Percentile.EstimationType
Estimation based on Kth selection.
estimate(int) - Method in interface org.hipparchus.stat.descriptive.rank.PSquarePercentile.PSquareMarkers
An Estimate of the percentile value of a given Marker
estimateError(double[][], double[], double[], double) - Method in class org.hipparchus.ode.nonstiff.DormandPrince54Integrator
Compute the error ratio.
estimateError(double[][], double[], double[], double) - Method in class org.hipparchus.ode.nonstiff.DormandPrince853Integrator
Compute the error ratio.
estimateError(double[][], double[], double[], double) - Method in class org.hipparchus.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Compute the error ratio.
estimateError(double[][], double[], double[], double) - Method in class org.hipparchus.ode.nonstiff.HighamHall54Integrator
Compute the error ratio.
estimateError(T[][], T[], T[], T) - Method in class org.hipparchus.ode.nonstiff.DormandPrince54FieldIntegrator
Compute the error ratio.
estimateError(T[][], T[], T[], T) - Method in class org.hipparchus.ode.nonstiff.DormandPrince853FieldIntegrator
Compute the error ratio.
estimateError(T[][], T[], T[], T) - Method in class org.hipparchus.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
Compute the error ratio.
estimateError(T[][], T[], T[], T) - Method in class org.hipparchus.ode.nonstiff.HighamHall54FieldIntegrator
Compute the error ratio.
estimateErrorVariance() - Method in class org.hipparchus.stat.regression.AbstractMultipleLinearRegression
Estimates the variance of the error.
estimateRegressandVariance() - Method in class org.hipparchus.stat.regression.AbstractMultipleLinearRegression
Returns the variance of the regressand, ie Var(y).
estimateRegressandVariance() - Method in interface org.hipparchus.stat.regression.MultipleLinearRegression
Returns the variance of the regressand, ie Var(y).
estimateRegressionParameters() - Method in class org.hipparchus.stat.regression.AbstractMultipleLinearRegression
Estimates the regression parameters b.
estimateRegressionParameters() - Method in interface org.hipparchus.stat.regression.MultipleLinearRegression
Estimates the regression parameters b.
estimateRegressionParametersStandardErrors() - Method in class org.hipparchus.stat.regression.AbstractMultipleLinearRegression
Returns the standard errors of the regression parameters.
estimateRegressionParametersStandardErrors() - Method in interface org.hipparchus.stat.regression.MultipleLinearRegression
Returns the standard errors of the regression parameters.
estimateRegressionParametersVariance() - Method in class org.hipparchus.stat.regression.AbstractMultipleLinearRegression
Estimates the variance of the regression parameters, ie Var(b).
estimateRegressionParametersVariance() - Method in interface org.hipparchus.stat.regression.MultipleLinearRegression
Estimates the variance of the regression parameters, ie Var(b).
estimateRegressionStandardError() - Method in class org.hipparchus.stat.regression.AbstractMultipleLinearRegression
Estimates the standard error of the regression.
estimateResiduals() - Method in class org.hipparchus.stat.regression.AbstractMultipleLinearRegression
Estimates the residuals, ie u = y - X*b.
estimateResiduals() - Method in interface org.hipparchus.stat.regression.MultipleLinearRegression
Estimates the residuals, ie u = y - X*b.
estimationStep(T) - Method in class org.hipparchus.filtering.kalman.extended.ExtendedKalmanFilter
Perform one estimation step.
estimationStep(T) - Method in interface org.hipparchus.filtering.kalman.KalmanFilter
Perform one estimation step.
estimationStep(T) - Method in class org.hipparchus.filtering.kalman.linear.LinearKalmanFilter
Perform one estimation step.
Euclidean1D - Class in org.hipparchus.geometry.euclidean.oned
This class implements a one-dimensional space.
Euclidean1D.NoSubSpaceException - Exception in org.hipparchus.geometry.euclidean.oned
Specialized exception for inexistent sub-space.
Euclidean2D - Class in org.hipparchus.geometry.euclidean.twod
This class implements a two-dimensional space.
Euclidean3D - Class in org.hipparchus.geometry.euclidean.threed
This class implements a three-dimensional space.
EuclideanDistance - Class in org.hipparchus.clustering.distance
Calculates the L2 (Euclidean) distance between two points.
EuclideanDistance() - Constructor for class org.hipparchus.clustering.distance.EuclideanDistance
 
EULER_ANGLES_SINGULARITY - org.hipparchus.geometry.LocalizedGeometryFormats
 
EULER_ANGLES_SINGULARITY - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
EulerFieldIntegrator<T extends RealFieldElement<T>> - Class in org.hipparchus.ode.nonstiff
This class implements a simple Euler integrator for Ordinary Differential Equations.
EulerFieldIntegrator(Field<T>, T) - Constructor for class org.hipparchus.ode.nonstiff.EulerFieldIntegrator
Simple constructor.
EulerIntegrator - Class in org.hipparchus.ode.nonstiff
This class implements a simple Euler integrator for Ordinary Differential Equations.
EulerIntegrator(double) - Constructor for class org.hipparchus.ode.nonstiff.EulerIntegrator
Simple constructor.
evaluate() - Method in class org.hipparchus.stat.descriptive.AbstractUnivariateStatistic
Returns the result of evaluating the statistic over the stored data.
evaluate(double) - Method in class org.hipparchus.stat.descriptive.rank.Percentile
Returns the result of evaluating the statistic over the stored data.
evaluate(double) - Method in class org.hipparchus.util.ContinuedFraction
Evaluates the continued fraction at the value x.
evaluate(double[]) - Method in interface org.hipparchus.stat.descriptive.UnivariateStatistic
Returns the result of evaluating the statistic over the input array.
evaluate(double[]) - Method in interface org.hipparchus.util.MathArrays.Function
Operates on an entire array.
evaluate(double[], double) - Static method in class org.hipparchus.analysis.polynomials.PolynomialFunction
Uses Horner's Method to evaluate the polynomial with the given coefficients at the argument.
evaluate(double[], double) - Method in class org.hipparchus.stat.descriptive.moment.SemiVariance
Returns the SemiVariance of the designated values against the cutoff, using instance properties variancDirection and biasCorrection.
evaluate(double[], double) - Method in class org.hipparchus.stat.descriptive.moment.StandardDeviation
Returns the Standard Deviation of the entries in the input array, using the precomputed mean value.
evaluate(double[], double) - Method in class org.hipparchus.stat.descriptive.moment.Variance
Returns the variance of the entries in the input array, using the precomputed mean value.
evaluate(double[], double) - Method in class org.hipparchus.stat.descriptive.rank.Percentile
Returns an estimate of the pth percentile of the values in the values array.
evaluate(double[], double[]) - Method in interface org.hipparchus.stat.descriptive.WeightedEvaluation
Returns the result of evaluating the statistic over the input array, using the supplied weights.
evaluate(double[], double[], double) - Static method in class org.hipparchus.analysis.polynomials.PolynomialFunctionLagrangeForm
Evaluate the Lagrange polynomial using Neville's Algorithm.
evaluate(double[], double[], double) - Static method in class org.hipparchus.analysis.polynomials.PolynomialFunctionNewtonForm
Evaluate the Newton polynomial using nested multiplication.
evaluate(double[], double[], double) - Method in class org.hipparchus.stat.descriptive.moment.Variance
Returns the weighted variance of the values in the input array, using the precomputed weighted mean value.
evaluate(double[], double[], double, int, int) - Method in class org.hipparchus.stat.descriptive.moment.Variance
Returns the weighted variance of the entries in the specified portion of the input array, using the precomputed weighted mean value.
evaluate(double[], double[], int, int) - Method in class org.hipparchus.stat.descriptive.moment.Mean
Returns the weighted arithmetic mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], double[], int, int) - Method in class org.hipparchus.stat.descriptive.moment.Variance
Returns the weighted variance of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], double[], int, int) - Method in class org.hipparchus.stat.descriptive.summary.Product
Returns the weighted product of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], double[], int, int) - Method in class org.hipparchus.stat.descriptive.summary.Sum
The weighted sum of the entries in the specified portion of the input array, or 0 if the designated subarray is empty.
evaluate(double[], double[], int, int) - Method in interface org.hipparchus.stat.descriptive.WeightedEvaluation
Returns the result of evaluating the statistic over the specified entries in the input array, using corresponding entries in the supplied weights array.
evaluate(double[], double, int, int) - Method in class org.hipparchus.stat.descriptive.moment.StandardDeviation
Returns the Standard Deviation of the entries in the specified portion of the input array, using the precomputed mean value.
evaluate(double[], double, int, int) - Method in class org.hipparchus.stat.descriptive.moment.Variance
Returns the variance of the entries in the specified portion of the input array, using the precomputed mean value.
evaluate(double[], double, SemiVariance.Direction) - Method in class org.hipparchus.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.hipparchus.stat.descriptive.moment.SemiVariance
Returns the SemiVariance of the designated values against the cutoff in the given direction with the provided bias correction.
evaluate(double[], double, KthSelector) - Method in enum org.hipparchus.stat.descriptive.rank.Percentile.EstimationType
Evaluate method to compute the percentile for a given bounded array.
evaluate(double[], int[], double, KthSelector) - Method in enum org.hipparchus.stat.descriptive.rank.Percentile.EstimationType
Evaluate method to compute the percentile for a given bounded array using earlier computed pivots heap.
This basically calls the index and then estimate functions to return the estimated percentile value.
evaluate(double[], int, int) - Method in class org.hipparchus.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.hipparchus.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.hipparchus.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.hipparchus.stat.descriptive.moment.Mean
Returns the arithmetic mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], int, int) - Method in class org.hipparchus.stat.descriptive.moment.SemiVariance
Returns the SemiVariance of the designated values against the mean, using instance properties varianceDirection and biasCorrection.
evaluate(double[], int, int) - Method in class org.hipparchus.stat.descriptive.moment.Skewness
Returns the Skewness of the entries in the specified portion of the input array.
evaluate(double[], int, int) - Method in class org.hipparchus.stat.descriptive.moment.StandardDeviation
Returns the Standard Deviation of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], int, int) - Method in class org.hipparchus.stat.descriptive.moment.Variance
Returns the variance of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], int, int) - Method in class org.hipparchus.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.hipparchus.stat.descriptive.rank.Median
Returns the result of evaluating the statistic over the specified entries in the input array.
evaluate(double[], int, int) - Method in class org.hipparchus.stat.descriptive.rank.Min
Returns the minimum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], int, int) - Method in class org.hipparchus.stat.descriptive.rank.Percentile
Returns an estimate of the quantileth percentile of the designated values in the values array.
evaluate(double[], int, int) - Method in class org.hipparchus.stat.descriptive.rank.RandomPercentile
Returns an estimate of the median, computed using the designated array segment as input data.
evaluate(double[], int, int) - Method in interface org.hipparchus.stat.descriptive.StorelessUnivariateStatistic
Returns the result of evaluating the statistic over the specified entries in the input array.
evaluate(double[], int, int) - Method in class org.hipparchus.stat.descriptive.summary.Product
Returns the product of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], int, int) - Method in class org.hipparchus.stat.descriptive.summary.Sum
The sum of the entries in the specified portion of the input array, or 0 if the designated subarray is empty.
evaluate(double[], int, int) - Method in class org.hipparchus.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.hipparchus.stat.descriptive.summary.SumOfSquares
Returns the sum of the squares of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], int, int) - Method in interface org.hipparchus.stat.descriptive.UnivariateStatistic
Returns the result of evaluating the statistic over the specified entries in the input array.
evaluate(double[], int, int) - Method in interface org.hipparchus.util.MathArrays.Function
 
evaluate(double[], int, int, double) - Method in class org.hipparchus.stat.descriptive.rank.Percentile
Returns an estimate of the pth percentile of the values in the values array, starting with the element in (0-based) position begin in the array and including length values.
evaluate(double[], SemiVariance.Direction) - Method in class org.hipparchus.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.hipparchus.util.ContinuedFraction
Evaluates the continued fraction at the value x.
evaluate(double, double[]) - Method in class org.hipparchus.stat.descriptive.rank.RandomPercentile
Returns an estimate of percentile over the given array.
evaluate(double, double[], int, int) - Method in class org.hipparchus.stat.descriptive.rank.RandomPercentile
Returns an estimate of the given percentile, computed using the designated array segment as input data.
evaluate(double, double, int) - Method in class org.hipparchus.util.ContinuedFraction
Evaluates the continued fraction at the value x.
evaluate(double, int) - Method in class org.hipparchus.util.ContinuedFraction
Evaluates the continued fraction at the value x.
evaluate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.hipparchus.optim.nonlinear.scalar.noderiv.AbstractSimplex
Evaluate all the non-evaluated points of the simplex.
evaluate(RealVector) - Method in class org.hipparchus.optim.nonlinear.vector.leastsquares.LeastSquaresAdapter
Evaluate the model at the specified point.
evaluate(RealVector) - Method in interface org.hipparchus.optim.nonlinear.vector.leastsquares.LeastSquaresProblem
Evaluate the model at the specified point.
evaluateStep(FieldODEStateInterpolator<T>) - Method in class org.hipparchus.ode.events.FieldEventState
Evaluate the impact of the proposed step on the event handler.
evaluateStep(ODEStateInterpolator) - Method in class org.hipparchus.ode.events.EventState
Evaluate the impact of the proposed step on the event handler.
EVALUATION - org.hipparchus.exception.LocalizedCoreFormats
 
EVALUATION - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
evaluationChecker(ConvergenceChecker<PointVectorValuePair>) - Static method in class org.hipparchus.optim.nonlinear.vector.leastsquares.LeastSquaresFactory
View a convergence checker specified for a PointVectorValuePair as one specified for an LeastSquaresProblem.Evaluation.
EvaluationRmsChecker - Class in org.hipparchus.optim.nonlinear.vector.leastsquares
Check if an optimization has converged based on the change in computed RMS.
EvaluationRmsChecker(double) - Constructor for class org.hipparchus.optim.nonlinear.vector.leastsquares.EvaluationRmsChecker
Create a convergence checker for the RMS with the same relative and absolute tolerance.
EvaluationRmsChecker(double, double) - Constructor for class org.hipparchus.optim.nonlinear.vector.leastsquares.EvaluationRmsChecker
Create a convergence checker for the RMS with a relative and absolute tolerance.
evaluations - Variable in class org.hipparchus.optim.BaseOptimizer
Evaluations counter.
EVALUATIONS - org.hipparchus.exception.LocalizedCoreFormats
 
EVALUATIONS - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
EventFilter - Class in org.hipparchus.ode.events
Wrapper used to detect only increasing or decreasing events.
EventFilter(ODEEventHandler, FilterType) - Constructor for class org.hipparchus.ode.events.EventFilter
Wrap an event handler.
EventHandler - Interface in org.hipparchus.migration.ode.events
Deprecated.
as of 1.0, replaced with ODEEventHandler
EventHandler.Action - Enum in org.hipparchus.migration.ode.events
Deprecated.
as of 1.0, replaced with Action
eventOccurred(double, double[], boolean) - Method in interface org.hipparchus.migration.ode.events.EventHandler
Deprecated.
Handle an event and choose what to do next.
eventOccurred(FieldODEStateAndDerivative<T>, boolean) - Method in interface org.hipparchus.ode.events.FieldODEEventHandler
Handle an event and choose what to do next.
eventOccurred(ODEStateAndDerivative, boolean) - Method in interface org.hipparchus.migration.ode.events.EventHandler
Deprecated.
Handle an event and choose what to do next.
eventOccurred(ODEStateAndDerivative, boolean) - Method in class org.hipparchus.ode.events.EventFilter
Handle an event and choose what to do next.
eventOccurred(ODEStateAndDerivative, boolean) - Method in interface org.hipparchus.ode.events.ODEEventHandler
Handle an event and choose what to do next.
EventState - Class in org.hipparchus.ode.events
This class handles the state for one event handler during integration steps.
EventState(ODEEventHandler, double, double, int, BracketedUnivariateSolver<UnivariateFunction>) - Constructor for class org.hipparchus.ode.events.EventState
Simple constructor.
EventState.EventOccurrence - Class in org.hipparchus.ode.events
Class to hold the data related to an event occurrence that is needed to decide how to modify integration.
exactLog2(int) - Static method in class org.hipparchus.transform.TransformUtils
Returns the base-2 logarithm of the specified int.
exactP(double, int, int, boolean) - Static method in class org.hipparchus.stat.inference.InferenceTestUtils
 
exactP(double, int, int, boolean) - Method in class org.hipparchus.stat.inference.KolmogorovSmirnovTest
Computes \(P(D_{n,m} > d)\) if strict is true; otherwise \(P(D_{n,m} \ge d)\), where \(D_{n,m}\) is the 2-sample Kolmogorov-Smirnov statistic.
ExampleFrame() - Constructor for class org.hipparchus.samples.ExampleUtils.ExampleFrame
 
ExampleUtils - Class in org.hipparchus.samples
 
ExampleUtils() - Constructor for class org.hipparchus.samples.ExampleUtils
 
ExampleUtils.ExampleFrame - Class in org.hipparchus.samples
 
exp - Variable in class org.hipparchus.dfp.Dfp
Exponent.
exp() - Method in class org.hipparchus.analysis.differentiation.DerivativeStructure
Exponential.
exp() - Method in class org.hipparchus.analysis.differentiation.FieldDerivativeStructure
Exponential.
exp() - Method in class org.hipparchus.analysis.differentiation.SparseGradient
Exponential.
exp() - Method in class org.hipparchus.complex.Complex
Compute the exponential function of this complex number.
exp() - Method in class org.hipparchus.dfp.Dfp
Exponential.
exp() - Method in interface org.hipparchus.RealFieldElement
Exponential.
exp() - Method in class org.hipparchus.util.Decimal64
Exponential.
exp() - Method in class org.hipparchus.util.FieldTuple
Exponential.
exp() - Method in class org.hipparchus.util.Tuple
Exponential.
exp(double) - Static method in class org.hipparchus.util.FastMath
Exponential function.
exp(double[], int, double[], int) - Method in class org.hipparchus.analysis.differentiation.DSCompiler
Compute exponential of a derivative structure.
exp(Dfp) - Static method in class org.hipparchus.dfp.DfpMath
Computes e to the given power.
exp(T) - Static method in class org.hipparchus.util.FastMath
Exponential function.
exp(T[], int, T[], int) - Method in class org.hipparchus.analysis.differentiation.DSCompiler
Compute exponential of a derivative structure.
Exp - Class in org.hipparchus.analysis.function
Exponential function.
Exp() - Constructor for class org.hipparchus.analysis.function.Exp
 
expand() - Method in class org.hipparchus.util.ResizableDoubleArray
Expands the internal storage array using the expansion factor.
ExpandableODE - Class in org.hipparchus.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.
ExpandableODE(OrdinaryDifferentialEquation) - Constructor for class org.hipparchus.ode.ExpandableODE
Build an expandable set from its primary ODE set.
EXPANSION_FACTOR_SMALLER_THAN_ONE - org.hipparchus.exception.LocalizedCoreFormats
 
EXPANSION_FACTOR_SMALLER_THAN_ONE - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
expInternal(Dfp) - Static method in class org.hipparchus.dfp.DfpMath
Computes e to the given power.
expm1() - Method in class org.hipparchus.analysis.differentiation.DerivativeStructure
Exponential minus 1.
expm1() - Method in class org.hipparchus.analysis.differentiation.FieldDerivativeStructure
Exponential minus 1.
expm1() - Method in class org.hipparchus.analysis.differentiation.SparseGradient
Exponential minus 1.
expm1() - Method in class org.hipparchus.dfp.Dfp
Exponential minus 1.
expm1() - Method in interface org.hipparchus.RealFieldElement
Exponential minus 1.
expm1() - Method in class org.hipparchus.util.Decimal64
Exponential minus 1.
expm1() - Method in class org.hipparchus.util.FieldTuple
Exponential minus 1.
expm1() - Method in class org.hipparchus.util.Tuple
Exponential minus 1.
expm1(double) - Static method in class org.hipparchus.util.FastMath
Compute exp(x) - 1
expm1(double[], int, double[], int) - Method in class org.hipparchus.analysis.differentiation.DSCompiler
Compute exp(x) - 1 of a derivative structure.
expm1(T) - Static method in class org.hipparchus.util.FastMath
Compute exp(x) - 1
expm1(T[], int, T[], int) - Method in class org.hipparchus.analysis.differentiation.DSCompiler
Compute exp(x) - 1 of a derivative structure.
Expm1 - Class in org.hipparchus.analysis.function
ex-1 function.
Expm1() - Constructor for class org.hipparchus.analysis.function.Expm1
 
EXPONENT - org.hipparchus.exception.LocalizedCoreFormats
 
EXPONENT - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
ExponentialDistribution - Class in org.hipparchus.distribution.continuous
Implementation of the exponential distribution.
ExponentialDistribution(double) - Constructor for class org.hipparchus.distribution.continuous.ExponentialDistribution
Create an exponential distribution with the given mean.
ExtendedKalmanFilter<T extends Measurement> - Class in org.hipparchus.filtering.kalman.extended
Kalman filter for non-linear process.
ExtendedKalmanFilter(MatrixDecomposer, NonLinearProcess<T>, ProcessEstimate) - Constructor for class org.hipparchus.filtering.kalman.extended.ExtendedKalmanFilter
Simple constructor.
extractEquationData(int, double[]) - Method in class org.hipparchus.ode.EquationsMapper
Extract equation data from a complete state or derivative array.
extractEquationData(int, T[]) - Method in class org.hipparchus.ode.FieldEquationsMapper
Extract equation data from a complete state or derivative array.
extractField(T[]) - Static method in class org.hipparchus.linear.AbstractFieldMatrix
Get the elements type from an array.
extractField(T[][]) - Static method in class org.hipparchus.linear.AbstractFieldMatrix
Get the elements type from an array.
extractMainSetJacobian(ODEState) - Method in class org.hipparchus.migration.ode.JacobianMatrices
Deprecated.
Extract the Jacobian matrix with respect to state.
extractMainSetJacobian(ODEState) - Method in class org.hipparchus.ode.VariationalEquation
Extract the Jacobian matrix with respect to state.
extractParameterJacobian(ODEState, String) - Method in class org.hipparchus.migration.ode.JacobianMatrices
Deprecated.
Extract the Jacobian matrix with respect to one parameter.
extractParameterJacobian(ODEState, String) - Method in class org.hipparchus.ode.VariationalEquation
Extract the Jacobian matrix with respect to one parameter.
extrema(boolean) - Method in class org.hipparchus.stat.descriptive.StreamingStatistics.StreamingStatisticsBuilder
Sets the computeExtrema setting of the factory.

F

FACET_ORIENTATION_MISMATCH - org.hipparchus.geometry.LocalizedGeometryFormats
 
FACET_ORIENTATION_MISMATCH - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
FACET_WITH_SEVERAL_BOUNDARY_LOOPS - org.hipparchus.geometry.LocalizedGeometryFormats
 
factorial(int) - Static method in class org.hipparchus.util.CombinatoricsUtils
Returns n!.
FACTORIAL_NEGATIVE_PARAMETER - org.hipparchus.exception.LocalizedCoreFormats
 
FACTORIAL_NEGATIVE_PARAMETER - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
factorialDouble(int) - Static method in class org.hipparchus.util.CombinatoricsUtils
Compute n!, the factorial of n (the product of the numbers 1 to n), as a double.
factorialLog(int) - Static method in class org.hipparchus.util.CombinatoricsUtils
Compute the natural logarithm of the factorial of n.
FAILED - org.hipparchus.stat.ranking.NaNStrategy
NaNs result in an exception
FAILED_BRACKETING - org.hipparchus.exception.LocalizedCoreFormats
 
FAILED_BRACKETING - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
FAILED_DECOMPOSITION - org.hipparchus.exception.LocalizedCoreFormats
 
FAILED_FRACTION_CONVERSION - org.hipparchus.exception.LocalizedCoreFormats
 
FAILED_FRACTION_CONVERSION - org.hipparchus.migration.exception.util.LocalizedFormats
Deprecated.
 
FARTHEST_POINT - org.hipparchus.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
Create a cluster around the point farthest from its centroid.
FastCosineTransformer - Class in org.hipparchus.transform
Implements the Fast Cosine Transform for transformation of one-dimensional real data sets.
FastCosineTransformer(DctNormalization) - Constructor for class org.hipparchus.transform.FastCosineTransformer
Creates a new instance of this class, with various normalization conventions.
FastFourierTransformer - Class in org.hipparchus.transform
Implements the Fast Fourier Transform for transformation of one-dimensional real or complex data sets.
FastFourierTransformer(DftNormalization) - Constructor for class org.hipparchus.transform.FastFourierTransformer
Creates a new instance of this class, with various normalization conventions.
FastHadamardTransformer - Class in org.hipparchus.transform
Implements the Fast Hadamard Transform (FHT).
FastHadamardTransformer() - Constructor for class org.hipparchus.transform.FastHadamardTransformer
 
FastMath - Class in org.hipparchus.util
Faster, more accurate, portable alternative to Math and StrictMath for large scale computation.
FastSineTransformer - Class in org.hipparchus.transform
Implements the Fast Sine Transform for transformation of one-dimensional real data sets.
FastSineTransformer(DstNormalization) - Constructor for class org.hipparchus.transform.FastSineTransformer
Creates a new instance of this class, with various normalization conventions.
fct(double[]) - Method in class org.hipparchus.transform.FastCosineTransformer
Perform the FCT algorithm (including inverse).
FDistribution - Class in org.hipparchus.distribution.continuous
Implementation of the F-distribution.
FDistribution(double, double) - Constructor for class org.hipparchus.distribution.continuous.FDistribution
Creates an F distribution using the given degrees of freedom.
FDistribution(double, double, double) - Constructor for class org.hipparchus.distribution.continuous.FDistribution
Creates an F distribution.
FDSFactory<T extends RealFieldElement<T>> - Class in org.hipparchus.analysis.differentiation
FDSFactory(Field<T>, int, int) - Constructor for class org.hipparchus.analysis.differentiation.FDSFactory
Simple constructor.
fht(double[]) - Method in class org.hipparchus.transform.FastHadamardTransformer
The FHT (Fast Hadamard Transformation) which uses only subtraction and addition.
fht(int[]) - Method in class org.hipparchus.transform.FastHadamardTransformer
Returns the forward transform of the specified integer data set.
Field<T> - Interface in org.hipparchus
Interface representing a field.
FieldBracketingNthOrderBrentSolver<T extends RealFieldElement<T>> - Class in org.hipparchus.analysis.solvers
This class implements a modification of the Brent algorithm.
FieldBracketingNthOrderBrentSolver(T, T, T, int) - Constructor for class org.hipparchus.analysis.solvers.FieldBracketingNthOrderBrentSolver
Construct a solver.
FieldButcherArrayProvider<T extends RealFieldElement<T>> - Interface in org.hipparchus.ode.nonstiff
This interface represents an integrator based on Butcher arrays.
FieldDecompositionSolver<T extends FieldElement<T>> - Interface in org.hipparchus.linear
Interface handling decomposition algorithms that can solve A × X = B.
FieldDenseOutputModel<T extends RealFieldElement<T>> - Class in org.hipparchus.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.
FieldDenseOutputModel() - Constructor for class org.hipparchus.ode.FieldDenseOutputModel
Simple constructor.
FieldDerivativeStructure<T extends RealFieldElement<T>> - Class in org.hipparchus.analysis.differentiation
Class representing both the value and the differentials of a function.
FieldElement<T> - Interface in org.hipparchus
Interface representing field elements.
FieldEquationsMapper<T extends RealFieldElement<T>> - Class in org.hipparchus.ode
Class mapping the part of a complete state or derivative that pertains to a set of differential equations.
FieldEventState<T extends RealFieldElement<T>> - Class in org.hipparchus.ode.events
This class handles the state for one event handler during integration steps.
FieldEventState(FieldODEEventHandler<T>, double, T, int, BracketedRealFieldUnivariateSolver<T>) - Constructor for class org.hipparchus.ode.events.FieldEventState
Simple constructor.
FieldEventState.EventOccurrence<T extends RealFieldElement<T>> - Class in org.hipparchus.ode.events
Class to hold the data related to an event occurrence that is needed to decide how to modify integration.
FieldExpandableODE<T extends RealFieldElement<T>> - Class in org.hipparchus.ode
This class represents a combined set of first order differential equations, with at least a primary set of equations expandable by some sets of secondary equations.
FieldExpandableODE(FieldOrdinaryDifferentialEquation<T>) - Constructor for class org.hipparchus.ode.FieldExpandableODE
Build an expandable set from its primary ODE set.
FieldHermiteInterpolator<T extends FieldElement<T>> - Class in org.hipparchus.analysis.interpolation
Polynomial interpolator using both sample values and sample derivatives.
FieldHermiteInterpolator() - Constructor for class org.hipparchus.analysis.interpolation.FieldHermiteInterpolator
Create an empty interpolator.
FieldLine<T extends RealFieldElement<T>> - Class in org.hipparchus.geometry.euclidean.threed
The class represent lines in a three dimensional space.
FieldLine(FieldLine<T>) - Constructor for class org.hipparchus.geometry.euclidean.threed.FieldLine
Copy constructor.
FieldLine(FieldVector3D<T>, FieldVector3D<T>, double) - Constructor for class org.hipparchus.geometry.euclidean.threed.FieldLine
Build a line from two points.
FieldLUDecomposition<T extends FieldElement<T>> - Class in org.hipparchus.linear
Calculates the LUP-decomposition of a square matrix.
FieldLUDecomposition(FieldMatrix<T>) - Constructor for class org.hipparchus.linear.FieldLUDecomposition
Calculates the LU-decomposition of the given matrix.
FieldMatrix<T extends FieldElement<T>> - Interface in org.hipparchus.linear
Interface defining field-valued matrix with basic algebraic operations.
FieldMatrixChangingVisitor<T extends FieldElement<?>> - Interface in org.hipparchus.linear
Interface defining a visitor for matrix entries.
FieldMatrixPreservingVisitor<T extends FieldElement<?>> - Interface in org.hipparchus.linear
Interface defining a visitor for matrix entries.
FieldODEEventHandler<T extends RealFieldElement<T>> - Interface in org.hipparchus.ode.events
This interface represents a handler for discrete events triggered during ODE integration.
FieldODEFixedStepHandler<T extends RealFieldElement<T>> - Interface in org.hipparchus.ode.sampling
This interface represents a handler that should be called after each successful fixed step.
FieldODEIntegrator<T extends RealFieldElement<T>> - Interface in org.hipparchus.ode
This interface represents a first order integrator for differential equations.
FieldODEState<T extends RealFieldElement<T>> - Class in org.hipparchus.ode
Container for time, main and secondary state vectors.
FieldODEState(T, T[]) - Constructor for class org.hipparchus.ode.FieldODEState
Simple constructor.
FieldODEState(T, T[], T[][]) - Constructor for class org.hipparchus.ode.FieldODEState
Simple constructor.
FieldODEStateAndDerivative<T extends RealFieldElement<T>> - Class in org.hipparchus.ode
Container for time, main and secondary state vectors as well as their derivatives.
FieldODEStateAndDerivative(T, T[], T[]) - Constructor for class org.hipparchus.ode.FieldODEStateAndDerivative
Simple constructor.
FieldODEStateAndDerivative(T, T[], T[], T[][], T[][]) - Constructor for class org.hipparchus.ode.FieldODEStateAndDerivative
Simple constructor.
FieldODEStateInterpolator<T extends RealFieldElement<T>> - Interface in org.hipparchus.ode.sampling
This interface represents an interpolator over the last step during an ODE integration.
FieldODEStepHandler<T extends RealFieldElement<T>> - Interface in org.hipparchus.ode.sampling
This interface represents a handler that should be called after each successful step.
FieldOrdinaryDifferentialEquation<T extends RealFieldElement<T>> - Interface in org.hipparchus.ode
This interface represents a first order differential equations set.
FieldQRDecomposition<T extends RealFieldElement<