Index (Hipparchus 3.1 API)

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All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form

A

ABOVE_SIDE - Enum constant in enum 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.FieldGradient: absolute value.
abs() - Method in class org.hipparchus.analysis.differentiation.FieldUnivariateDerivative1: absolute value.
abs() - Method in class org.hipparchus.analysis.differentiation.FieldUnivariateDerivative2: absolute value.
abs() - Method in class org.hipparchus.analysis.differentiation.Gradient: absolute value.
abs() - Method in class org.hipparchus.analysis.differentiation.SparseGradient: absolute value.
abs() - Method in class org.hipparchus.analysis.differentiation.UnivariateDerivative1: absolute value.
abs() - Method in class org.hipparchus.analysis.differentiation.UnivariateDerivative2: absolute value.
abs() - Method in interface org.hipparchus.CalculusFieldElement: absolute value.
abs() - Method in class org.hipparchus.complex.Complex: Return the absolute value of this complex number.
abs() - Method in class org.hipparchus.complex.FieldComplex: Return the absolute value of this complex number.
abs() - Method in class org.hipparchus.dfp.Dfp: absolute value.
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 class org.hipparchus.util.Binary64: 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: Empty constructor.
absExact(int) - Static method in class org.hipparchus.util.FastMath: Absolute value.
absExact(long) - Static method in class org.hipparchus.util.FastMath: Absolute value.
AbstractConvergenceChecker - 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(p_i;x), where x is the independent variable and the p_i are the parameters.
AbstractCurveFitter() - Constructor for class org.hipparchus.fitting.AbstractCurveFitter: Empty constructor.
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.
AbstractEvaluation(int) - Constructor for class org.hipparchus.optim.nonlinear.vector.leastsquares.AbstractEvaluation: Constructor.
AbstractFieldIntegrator<T extends CalculusFieldElement<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.
AbstractFieldODEDetector<T extends AbstractFieldODEDetector<T,E>,E extends CalculusFieldElement<E>> - Class in org.hipparchus.ode.events: Base class for #@link FieldODEEventDetector.
AbstractFieldODEDetector(FieldAdaptableInterval<E>, int, BracketedRealFieldUnivariateSolver<E>, FieldODEEventHandler<E>) - Constructor for class org.hipparchus.ode.events.AbstractFieldODEDetector: Build a new instance.
AbstractFieldODEStateInterpolator<T extends CalculusFieldElement<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: Empty constructor.
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: Empty constructor.
AbstractMultivariateRealDistribution - Class in org.hipparchus.distribution.multivariate: Base class for multivariate probability distributions.
AbstractMultivariateRealDistribution(RandomGenerator, int) - Constructor for class org.hipparchus.distribution.multivariate.AbstractMultivariateRealDistribution: Simple constructor.
AbstractODEDetector<T extends AbstractODEDetector<T>> - Class in org.hipparchus.ode.events: Base class for #@link ODEEventDetector.
AbstractODEDetector(AdaptableInterval, int, BracketedUnivariateSolver<UnivariateFunction>, ODEEventHandler) - Constructor for class org.hipparchus.ode.events.AbstractODEDetector: Build a new instance.
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.
AbstractOpenIntHashMap - Class in org.hipparchus.util: Base class for open addressed map from int.
AbstractOpenIntHashMap() - Constructor for class org.hipparchus.util.AbstractOpenIntHashMap: Build an empty map with default size.
AbstractOpenIntHashMap(int) - Constructor for class org.hipparchus.util.AbstractOpenIntHashMap: Build an empty map with specified size.
AbstractOpenIntHashMap(AbstractOpenIntHashMap) - Constructor for class org.hipparchus.util.AbstractOpenIntHashMap: Copy constructor.
AbstractOpenIntHashMap.BaseIterator - Class in org.hipparchus.util: Iterator class for the map.
AbstractOpenIntHashMap.InsertionHolder - Class in org.hipparchus.util: Holder for handling values insertion.
AbstractOpenIntHashMap.ValueCopier - Interface in org.hipparchus.util: Interface for copying values.
AbstractOptimizationProblem - Class in org.hipparchus.optim: Base class for implementing optimization problems.
AbstractOptimizationProblem(int, int, ConvergenceChecker) - 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: Simple constructor.
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.
AbstractRuleFactory - Class in org.hipparchus.analysis.integration.gauss: Base class for rules that determines the integration nodes and their weights.
AbstractRuleFactory() - Constructor for class org.hipparchus.analysis.integration.gauss.AbstractRuleFactory: Empty constructor.
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.
AbstractSQPOptimizer - Class in org.hipparchus.optim.nonlinear.vector.constrained: Abstract class for Sequential Quadratic Programming solvers
AbstractSQPOptimizer() - Constructor for class org.hipparchus.optim.nonlinear.vector.constrained.AbstractSQPOptimizer: Simple constructor.
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: Empty constructor.
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.
AbstractUnscentedTransform - Class in org.hipparchus.util: Base class for unscented transform providers.
AbstractUnscentedTransform(int) - Constructor for class org.hipparchus.util.AbstractUnscentedTransform: Constructor.
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 interface org.hipparchus.analysis.differentiation.Derivative: Arc cosine operation.
acos() - Method in interface org.hipparchus.analysis.differentiation.Derivative1: Arc cosine operation.
acos() - Method in class org.hipparchus.analysis.differentiation.DerivativeStructure: Arc cosine operation.
acos() - Method in interface org.hipparchus.analysis.differentiation.FieldDerivative: Arc cosine operation.
acos() - Method in interface org.hipparchus.analysis.differentiation.FieldDerivative1: Arc cosine operation.
acos() - Method in class org.hipparchus.analysis.differentiation.FieldDerivativeStructure: Arc cosine operation.
acos() - Method in class org.hipparchus.analysis.differentiation.FieldUnivariateDerivative2: Arc cosine operation.
acos() - Method in class org.hipparchus.analysis.differentiation.UnivariateDerivative2: Arc cosine operation.
acos() - Method in interface org.hipparchus.CalculusFieldElement: 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.complex.FieldComplex: Compute the inverse cosine of this complex number.
acos() - Method in class org.hipparchus.dfp.Dfp: Arc cosine operation.
acos() - Method in class org.hipparchus.util.Binary64: 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: Empty constructor.
acosh() - Method in interface org.hipparchus.analysis.differentiation.Derivative1: Inverse hyperbolic cosine operation.
acosh() - Method in class org.hipparchus.analysis.differentiation.DerivativeStructure: Inverse hyperbolic cosine operation.
acosh() - Method in interface org.hipparchus.analysis.differentiation.FieldDerivative1: 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.FieldUnivariateDerivative2: Inverse hyperbolic cosine operation.
acosh() - Method in class org.hipparchus.analysis.differentiation.UnivariateDerivative2: Inverse hyperbolic cosine operation.
acosh() - Method in interface org.hipparchus.CalculusFieldElement: Inverse hyperbolic cosine operation.
acosh() - Method in class org.hipparchus.complex.Complex: Inverse hyperbolic cosine operation.
acosh() - Method in class org.hipparchus.complex.FieldComplex: Inverse hyperbolic cosine operation.
acosh() - Method in class org.hipparchus.dfp.Dfp: Inverse hyperbolic cosine operation.
acosh() - Method in class org.hipparchus.util.Binary64: 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: Empty constructor.
Action - Enum in org.hipparchus.ode.events: Enumerate for actions to be performed when an event occurs during ODE integration.
AdamsBashforthFieldIntegrator<T extends CalculusFieldElement<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 CalculusFieldElement<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 CalculusFieldElement<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 CalculusFieldElement<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.
AdaptableInterval - Interface in org.hipparchus.ode.events: This interface represents an event checking interval that depends on state.
AdaptiveStepsizeFieldIntegrator<T extends CalculusFieldElement<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 interface org.hipparchus.analysis.differentiation.Derivative: '+' operator.
add(double) - Method in class org.hipparchus.analysis.differentiation.FieldDerivativeStructure: '+' operator.
add(double) - Method in class org.hipparchus.analysis.differentiation.FieldGradient: '+' operator.
add(double) - Method in class org.hipparchus.analysis.differentiation.FieldUnivariateDerivative1: '+' operator.
add(double) - Method in class org.hipparchus.analysis.differentiation.FieldUnivariateDerivative2: '+' operator.
add(double) - Method in interface org.hipparchus.CalculusFieldElement: '+' 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.complex.FieldComplex: Returns a Complex whose value is (this + addend), with addend interpreted as a real number.
add(double) - Method in class org.hipparchus.util.Binary64: '+' 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, FieldVector2D<T>) - Method in class org.hipparchus.geometry.euclidean.twod.FieldVector2D: Add a scaled vector to the instance.
add(double, Vector2D) - Method in class org.hipparchus.geometry.euclidean.twod.FieldVector2D: Add a scaled vector to the instance.
add(double, Vector<Euclidean1D, Vector1D>) - Method in class org.hipparchus.geometry.euclidean.oned.Vector1D: Add a scaled vector to the instance.
add(double, Vector<Euclidean3D, Vector3D>) - Method in class org.hipparchus.geometry.euclidean.threed.Vector3D: Add a scaled vector to the instance.
add(double, Vector<Euclidean2D, Vector2D>) - Method in class org.hipparchus.geometry.euclidean.twod.Vector2D: Add a scaled vector to the instance.
add(double, Vector<S, V>) - 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(FieldGradient<T>) - Method in class org.hipparchus.analysis.differentiation.FieldGradient: Compute this + a.
add(FieldUnivariateDerivative1<T>) - Method in class org.hipparchus.analysis.differentiation.FieldUnivariateDerivative1: Compute this + a.
add(FieldUnivariateDerivative2<T>) - Method in class org.hipparchus.analysis.differentiation.FieldUnivariateDerivative2: Compute this + a.
add(Gradient) - Method in class org.hipparchus.analysis.differentiation.Gradient: Compute this + a.
add(SparseGradient) - Method in class org.hipparchus.analysis.differentiation.SparseGradient: Compute this + a.
add(UnivariateDerivative1) - Method in class org.hipparchus.analysis.differentiation.UnivariateDerivative1: Compute this + a.
add(UnivariateDerivative2) - Method in class org.hipparchus.analysis.differentiation.UnivariateDerivative2: Compute this + a.
add(UnivariateDifferentiableFunction...) - Static method in class org.hipparchus.analysis.FunctionUtils: Adds functions.
add(FieldPolynomialFunction<T>) - Method in class org.hipparchus.analysis.polynomials.FieldPolynomialFunction: Add a polynomial to the instance.
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(FieldComplex<T>) - Method in class org.hipparchus.complex.FieldComplex: 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(FieldVector2D<T>) - Method in class org.hipparchus.geometry.euclidean.twod.FieldVector2D: Add a vector to the instance.
add(Vector2D) - Method in class org.hipparchus.geometry.euclidean.twod.FieldVector2D: 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, Vector1D>) - Method in class org.hipparchus.geometry.euclidean.oned.Vector1D: Add a vector to the instance.
add(Vector<Euclidean3D, Vector3D>) - Method in class org.hipparchus.geometry.euclidean.threed.Vector3D: Add a vector to the instance.
add(Vector<Euclidean2D, Vector2D>) - Method in class org.hipparchus.geometry.euclidean.twod.Vector2D: Add a vector to the instance.
add(Vector<S, V>) - 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(Binary64) - Method in class org.hipparchus.util.Binary64: 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(S) - Method in interface org.hipparchus.analysis.differentiation.FieldDerivative: '+' operator.
add(T) - Method in class org.hipparchus.complex.FieldComplex: Returns a Complex whose value is (this + addend), with addend interpreted as a real number.
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(T, FieldVector2D<T>) - Method in class org.hipparchus.geometry.euclidean.twod.FieldVector2D: Add a scaled vector to the instance.
add(T, Vector2D) - Method in class org.hipparchus.geometry.euclidean.twod.FieldVector2D: 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: Empty constructor.
ADD_ZERO_VECTOR - Enum constant in enum org.hipparchus.linear.DependentVectorsHandler: Replace dependent vectors by vectors with norm 0.
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: Add a CDF series.
addCDFSeries(Chart, RealDistribution, String, int, int) - Static method in class org.hipparchus.samples.RealDistributionComparison: Add a CDF series.
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.
addEventDetector(FieldODEEventDetector<T>) - Method in class org.hipparchus.ode.AbstractFieldIntegrator: Add an event detector to the integrator.
addEventDetector(FieldODEEventDetector<T>) - Method in interface org.hipparchus.ode.FieldODEIntegrator: Add an event detector to the integrator.
addEventDetector(ODEEventDetector) - Method in class org.hipparchus.ode.AbstractIntegrator: Add an event detector to the integrator.
addEventDetector(ODEEventDetector) - Method in interface org.hipparchus.ode.ODEIntegrator: Add an event detector 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 - Enum constant in enum 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: Add a PDF series.
addPDFSeries(Chart, RealDistribution, String, int, int) - Static method in class org.hipparchus.samples.RealDistributionComparison: Add a PDF series.
addPoint(T) - Method in class org.hipparchus.clustering.Cluster: Add a point to this cluster.
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.
addStepEndHandler(FieldODEStepEndHandler<T>) - Method in class org.hipparchus.ode.AbstractFieldIntegrator: Add a handler for step ends to the integrator.
addStepEndHandler(FieldODEStepEndHandler<T>) - Method in interface org.hipparchus.ode.FieldODEIntegrator: Add a handler for step ends to the integrator.
addStepEndHandler(ODEStepEndHandler) - Method in class org.hipparchus.ode.AbstractIntegrator: Add a handler for step ends to the integrator.
addStepEndHandler(ODEStepEndHandler) - Method in interface org.hipparchus.ode.ODEIntegrator: Add a handler for step ends to the integrator.
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.
ADMMQPConvergenceChecker - Class in org.hipparchus.optim.nonlinear.vector.constrained: Convergence Checker for ADMM QP Optimizer.
ADMMQPKKT - Class in org.hipparchus.optim.nonlinear.vector.constrained: Alternative Direction Method of Multipliers Solver.
ADMMQPModifiedRuizEquilibrium - Class in org.hipparchus.optim.nonlinear.vector.constrained: TBD.
ADMMQPModifiedRuizEquilibrium(RealMatrix, RealMatrix, RealVector) - Constructor for class org.hipparchus.optim.nonlinear.vector.constrained.ADMMQPModifiedRuizEquilibrium: Simple constructor
ADMMQPOptimizer - Class in org.hipparchus.optim.nonlinear.vector.constrained: Alternating Direction Method of Multipliers Quadratic Programming Optimizer.
ADMMQPOptimizer() - Constructor for class org.hipparchus.optim.nonlinear.vector.constrained.ADMMQPOptimizer: Simple constructor.
ADMMQPOption - Class in org.hipparchus.optim.nonlinear.vector.constrained: Container for ADMMQPOptimizer settings.
ADMMQPOption() - Constructor for class org.hipparchus.optim.nonlinear.vector.constrained.ADMMQPOption: Simple constructor.
ADMMQPSolution - Class in org.hipparchus.optim.nonlinear.vector.constrained: Internal Solution for ADMM QP Optimizer.
ADMMQPSolution(RealVector, RealVector) - Constructor for class org.hipparchus.optim.nonlinear.vector.constrained.ADMMQPSolution: Simple constructor.
ADMMQPSolution(RealVector, RealVector, Double) - Constructor for class org.hipparchus.optim.nonlinear.vector.constrained.ADMMQPSolution: Simple constructor.
ADMMQPSolution(RealVector, RealVector, RealVector, RealVector) - Constructor for class org.hipparchus.optim.nonlinear.vector.constrained.ADMMQPSolution: Simple constructor.
ADMMQPSolution(RealVector, RealVector, RealVector, RealVector, double) - Constructor for class org.hipparchus.optim.nonlinear.vector.constrained.ADMMQPSolution: Simple constructor.
advance() - Method in class org.hipparchus.util.AbstractOpenIntHashMap.BaseIterator: 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(FirstMoment) - Method in class org.hipparchus.stat.descriptive.moment.SecondMoment: Aggregates the results of the provided instance 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: Simple constructor.
AkimaSplineInterpolator(boolean) - Constructor for class org.hipparchus.analysis.interpolation.AkimaSplineInterpolator: Simple constructor.
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(FieldVector2D<T>, FieldVector2D<T>) - Static method in class org.hipparchus.geometry.euclidean.twod.FieldVector2D: Compute the angular separation between two vectors.
angle(FieldVector2D<T>, Vector2D) - Static method in class org.hipparchus.geometry.euclidean.twod.FieldVector2D: Compute the angular separation between two vectors.
angle(Vector2D, FieldVector2D<T>) - Static method in class org.hipparchus.geometry.euclidean.twod.FieldVector2D: 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.FieldPolynomialFunction: Returns an anti-derivative of this polynomial, with 0 constant term.
antiDerivative() - Method in class org.hipparchus.analysis.polynomials.PolynomialFunction: Returns an anti-derivative of this polynomial, with 0 constant term.
ANY_SIDE - Enum constant in enum 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.
applyExternalButcherWeights(double[], double[][], double, double[]) - Static method in interface org.hipparchus.ode.nonstiff.ExplicitRungeKuttaIntegrator: Apply external weights of Butcher array, assuming internal ones have been applied.
applyExternalButcherWeights(T[], T[][], T, double[]) - Static method in interface org.hipparchus.ode.nonstiff.FieldExplicitRungeKuttaIntegrator: Apply external weights of Butcher array, assuming internal ones have been applied.
applyExternalButcherWeights(T[], T[][], T, T[]) - Static method in interface org.hipparchus.ode.nonstiff.FieldExplicitRungeKuttaIntegrator: Apply external weights of Butcher array, assuming internal ones have been applied.
applyInternalButcherWeights(ExpandableODE, double, double[], double, double[][], double[], double[][]) - Static method in interface org.hipparchus.ode.nonstiff.ExplicitRungeKuttaIntegrator: Apply internal weights of Butcher array, with corresponding times.
applyInternalButcherWeights(FieldExpandableODE<T>, T, T[], T, double[][], double[], T[][]) - Static method in interface org.hipparchus.ode.nonstiff.FieldExplicitRungeKuttaIntegrator: Apply internal weights of Butcher array, with corresponding times.
applyInternalButcherWeights(FieldExpandableODE<T>, T, T[], T, T[][], T[], T[][]) - Static method in interface org.hipparchus.ode.nonstiff.FieldExplicitRungeKuttaIntegrator: Apply internal weights of Butcher array, with corresponding times.
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: Uses the Kolmogorov-Smirnov distribution to approximate \(P(D_{n,m} > d)\) where \(D_{n,m}\) is the 2-sample Kolmogorov-Smirnov statistic.
approximateP(double, int, int) - 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.
arccd(double) - Method in class org.hipparchus.special.elliptic.jacobi.FieldJacobiElliptic: Evaluate inverse of Jacobi elliptic function cd.
arccd(double) - Method in class org.hipparchus.special.elliptic.jacobi.JacobiElliptic: Evaluate inverse of Jacobi elliptic function cd.
arccd(T) - Method in class org.hipparchus.special.elliptic.jacobi.FieldJacobiElliptic: Evaluate inverse of Jacobi elliptic function cd.
arccn(double) - Method in class org.hipparchus.special.elliptic.jacobi.FieldJacobiElliptic: Evaluate inverse of Jacobi elliptic function cn.
arccn(double) - Method in class org.hipparchus.special.elliptic.jacobi.JacobiElliptic: Evaluate inverse of Jacobi elliptic function cn.
arccn(T) - Method in class org.hipparchus.special.elliptic.jacobi.FieldJacobiElliptic: Evaluate inverse of Jacobi elliptic function cn.
arccs(double) - Method in class org.hipparchus.special.elliptic.jacobi.FieldJacobiElliptic: Evaluate inverse of Jacobi elliptic function cs.
arccs(double) - Method in class org.hipparchus.special.elliptic.jacobi.JacobiElliptic: Evaluate inverse of Jacobi elliptic function cs.
arccs(T) - Method in class org.hipparchus.special.elliptic.jacobi.FieldJacobiElliptic: Evaluate inverse of Jacobi elliptic function cs.
arcdc(double) - Method in class org.hipparchus.special.elliptic.jacobi.FieldJacobiElliptic: Evaluate inverse of Jacobi elliptic function dc.
arcdc(double) - Method in class org.hipparchus.special.elliptic.jacobi.JacobiElliptic: Evaluate inverse of Jacobi elliptic function dc.
arcdc(T) - Method in class org.hipparchus.special.elliptic.jacobi.FieldJacobiElliptic: Evaluate inverse of Jacobi elliptic function dc.
arcdn(double) - Method in class org.hipparchus.special.elliptic.jacobi.FieldJacobiElliptic: Evaluate inverse of Jacobi elliptic function dn.
arcdn(double) - Method in class org.hipparchus.special.elliptic.jacobi.JacobiElliptic: Evaluate inverse of Jacobi elliptic function dn.
arcdn(T) - Method in class org.hipparchus.special.elliptic.jacobi.FieldJacobiElliptic: Evaluate inverse of Jacobi elliptic function dn.
arcds(double) - Method in class org.hipparchus.special.elliptic.jacobi.FieldJacobiElliptic: Evaluate inverse of Jacobi elliptic function ds.
arcds(double) - Method in class org.hipparchus.special.elliptic.jacobi.JacobiElliptic: Evaluate inverse of Jacobi elliptic function ds.
arcds(T) - Method in class org.hipparchus.special.elliptic.jacobi.FieldJacobiElliptic: Evaluate inverse of Jacobi elliptic function ds.
arcnc(double) - Method in class org.hipparchus.special.elliptic.jacobi.FieldJacobiElliptic: Evaluate inverse of Jacobi elliptic function nc.
arcnc(double) - Method in class org.hipparchus.special.elliptic.jacobi.JacobiElliptic: Evaluate inverse of Jacobi elliptic function nc.
arcnc(T) - Method in class org.hipparchus.special.elliptic.jacobi.FieldJacobiElliptic: Evaluate inverse of Jacobi elliptic function nc.
arcnd(double) - Method in class org.hipparchus.special.elliptic.jacobi.FieldJacobiElliptic: Evaluate inverse of Jacobi elliptic function nd.
arcnd(double) - Method in class org.hipparchus.special.elliptic.jacobi.JacobiElliptic: Evaluate inverse of Jacobi elliptic function nd.
arcnd(T) - Method in class org.hipparchus.special.elliptic.jacobi.FieldJacobiElliptic: Evaluate inverse of Jacobi elliptic function nd.
arcns(double) - Method in class org.hipparchus.special.elliptic.jacobi.FieldJacobiElliptic: Evaluate inverse of Jacobi elliptic function ns.
arcns(double) - Method in class org.hipparchus.special.elliptic.jacobi.JacobiElliptic: Evaluate inverse of Jacobi elliptic function ns.
arcns(T) - Method in class org.hipparchus.special.elliptic.jacobi.FieldJacobiElliptic: Evaluate inverse of Jacobi elliptic function ns.
arcsc(double) - Method in class org.hipparchus.special.elliptic.jacobi.FieldJacobiElliptic: Evaluate inverse of Jacobi elliptic function sc.
arcsc(double) - Method in class org.hipparchus.special.elliptic.jacobi.JacobiElliptic: Evaluate inverse of Jacobi elliptic function sc.
arcsc(T) - Method in class org.hipparchus.special.elliptic.jacobi.FieldJacobiElliptic: Evaluate inverse of Jacobi elliptic function sc.
arcsd(double) - Method in class org.hipparchus.special.elliptic.jacobi.FieldJacobiElliptic: Evaluate inverse of Jacobi elliptic function sd.
arcsd(double) - Method in class org.hipparchus.special.elliptic.jacobi.JacobiElliptic: Evaluate inverse of Jacobi elliptic function sd.
arcsd(T) - Method in class org.hipparchus.special.elliptic.jacobi.FieldJacobiElliptic: Evaluate inverse of Jacobi elliptic function sd.
arcsn(double) - Method in class org.hipparchus.special.elliptic.jacobi.FieldJacobiElliptic: Evaluate inverse of Jacobi elliptic function sn.
arcsn(double) - Method in class org.hipparchus.special.elliptic.jacobi.JacobiElliptic: Evaluate inverse of Jacobi elliptic function sn.
arcsn(T) - Method in class org.hipparchus.special.elliptic.jacobi.FieldJacobiElliptic: Evaluate inverse of Jacobi elliptic function sn.
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 - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

ARGUMENT_OUTSIDE_DOMAIN.
ARGUMENT_OUTSIDE_DOMAIN - Enum constant in enum org.hipparchus.migration.LocalizedMigrationFormats: Deprecated.

ARGUMENT_OUTSIDE_DOMAIN.
ARITHMETIC_EXCEPTION - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: ARITHMETIC_EXCEPTION.
ARITHMETIC_EXCEPTION - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

ARITHMETIC_EXCEPTION.
ArithmeticUtils - Class in org.hipparchus.util: Some useful, arithmetics related, additions to the built-in functions in Math.
ARRAY_ELEMENT - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: ARRAY_ELEMENT.
ARRAY_ELEMENT - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

ARRAY_ELEMENT.
ARRAY_SIZE_EXCEEDS_MAX_VARIABLES - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: ARRAY_SIZE_EXCEEDS_MAX_VARIABLES.
ARRAY_SIZE_EXCEEDS_MAX_VARIABLES - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

ARRAY_SIZE_EXCEEDS_MAX_VARIABLES.
ARRAY_SIZES_SHOULD_HAVE_DIFFERENCE_1 - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: ARRAY_SIZES_SHOULD_HAVE_DIFFERENCE_1.
ARRAY_SIZES_SHOULD_HAVE_DIFFERENCE_1 - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

ARRAY_SIZES_SHOULD_HAVE_DIFFERENCE_1.
ARRAY_SUMS_TO_ZERO - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: ARRAY_SUMS_TO_ZERO.
ARRAY_SUMS_TO_ZERO - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

ARRAY_SUMS_TO_ZERO.
ARRAY_ZERO_LENGTH_OR_NULL_NOT_ALLOWED - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: ARRAY_ZERO_LENGTH_OR_NULL_NOT_ALLOWED.
ARRAY_ZERO_LENGTH_OR_NULL_NOT_ALLOWED - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

ARRAY_ZERO_LENGTH_OR_NULL_NOT_ALLOWED.
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 interface org.hipparchus.analysis.differentiation.Derivative1: Arc sine operation.
asin() - Method in class org.hipparchus.analysis.differentiation.DerivativeStructure: Arc sine operation.
asin() - Method in interface org.hipparchus.analysis.differentiation.FieldDerivative1: Arc sine operation.
asin() - Method in class org.hipparchus.analysis.differentiation.FieldDerivativeStructure: Arc sine operation.
asin() - Method in class org.hipparchus.analysis.differentiation.FieldUnivariateDerivative2: Arc sine operation.
asin() - Method in class org.hipparchus.analysis.differentiation.UnivariateDerivative2: Arc sine operation.
asin() - Method in interface org.hipparchus.CalculusFieldElement: 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.complex.FieldComplex: Compute the inverse sine of this complex number.
asin() - Method in class org.hipparchus.dfp.Dfp: Arc sine operation.
asin() - Method in class org.hipparchus.util.Binary64: 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: Empty constructor.
asinh() - Method in interface org.hipparchus.analysis.differentiation.Derivative1: Inverse hyperbolic sine operation.
asinh() - Method in class org.hipparchus.analysis.differentiation.DerivativeStructure: Inverse hyperbolic sine operation.
asinh() - Method in interface org.hipparchus.analysis.differentiation.FieldDerivative1: 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.FieldUnivariateDerivative2: Inverse hyperbolic sine operation.
asinh() - Method in class org.hipparchus.analysis.differentiation.UnivariateDerivative2: Inverse hyperbolic sine operation.
asinh() - Method in interface org.hipparchus.CalculusFieldElement: Inverse hyperbolic sine operation.
asinh() - Method in class org.hipparchus.complex.Complex: Inverse hyperbolic sine operation.
asinh() - Method in class org.hipparchus.complex.FieldComplex: Inverse hyperbolic sine operation.
asinh() - Method in class org.hipparchus.dfp.Dfp: Inverse hyperbolic sine operation.
asinh() - Method in class org.hipparchus.util.Binary64: 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: Empty constructor.
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 - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

ASSYMETRIC_EIGEN_NOT_SUPPORTED.
ASSYMETRIC_EIGEN_NOT_SUPPORTED - Enum constant in enum org.hipparchus.migration.LocalizedMigrationFormats: Deprecated.

ASSYMETRIC_EIGEN_NOT_SUPPORTED.
AT_LEAST_ONE_COLUMN - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: AT_LEAST_ONE_COLUMN.
AT_LEAST_ONE_COLUMN - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

AT_LEAST_ONE_COLUMN.
AT_LEAST_ONE_ROW - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: AT_LEAST_ONE_ROW.
AT_LEAST_ONE_ROW - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

AT_LEAST_ONE_ROW.
atan() - Method in interface org.hipparchus.analysis.differentiation.Derivative1: Arc tangent operation.
atan() - Method in class org.hipparchus.analysis.differentiation.DerivativeStructure: Arc tangent operation.
atan() - Method in interface org.hipparchus.analysis.differentiation.FieldDerivative1: Arc tangent operation.
atan() - Method in class org.hipparchus.analysis.differentiation.FieldDerivativeStructure: Arc tangent operation.
atan() - Method in class org.hipparchus.analysis.differentiation.FieldUnivariateDerivative2: Arc tangent operation.
atan() - Method in class org.hipparchus.analysis.differentiation.UnivariateDerivative2: Arc tangent operation.
atan() - Method in interface org.hipparchus.CalculusFieldElement: 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.complex.FieldComplex: Compute the inverse tangent of this complex number.
atan() - Method in class org.hipparchus.dfp.Dfp: Arc tangent operation.
atan() - Method in class org.hipparchus.util.Binary64: 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: Empty constructor.
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(FieldGradient<T>) - Method in class org.hipparchus.analysis.differentiation.FieldGradient: Two arguments arc tangent operation.
atan2(FieldUnivariateDerivative1<T>) - Method in class org.hipparchus.analysis.differentiation.FieldUnivariateDerivative1: Two arguments arc tangent operation.
atan2(FieldUnivariateDerivative2<T>) - Method in class org.hipparchus.analysis.differentiation.FieldUnivariateDerivative2: Two arguments arc tangent operation.
atan2(Gradient) - Method in class org.hipparchus.analysis.differentiation.Gradient: 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(UnivariateDerivative1) - Method in class org.hipparchus.analysis.differentiation.UnivariateDerivative1: Two arguments arc tangent operation.
atan2(UnivariateDerivative2) - Method in class org.hipparchus.analysis.differentiation.UnivariateDerivative2: Two arguments arc tangent operation.
atan2(Complex) - Method in class org.hipparchus.complex.Complex: Two arguments arc tangent operation.
atan2(FieldComplex<T>) - Method in class org.hipparchus.complex.FieldComplex: Two arguments arc tangent operation.
atan2(Dfp) - Method in class org.hipparchus.dfp.Dfp: Two arguments arc tangent operation.
atan2(Binary64) - Method in class org.hipparchus.util.Binary64: 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.CalculusFieldElement: 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: Empty constructor.
atanh() - Method in interface org.hipparchus.analysis.differentiation.Derivative1: Inverse hyperbolic tangent operation.
atanh() - Method in class org.hipparchus.analysis.differentiation.DerivativeStructure: Inverse hyperbolic tangent operation.
atanh() - Method in interface org.hipparchus.analysis.differentiation.FieldDerivative1: 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.FieldUnivariateDerivative2: Inverse hyperbolic tangent operation.
atanh() - Method in class org.hipparchus.analysis.differentiation.UnivariateDerivative2: Inverse hyperbolic tangent operation.
atanh() - Method in interface org.hipparchus.CalculusFieldElement: Inverse hyperbolic tangent operation.
atanh() - Method in class org.hipparchus.complex.Complex: Inverse hyperbolic tangent operation.
atanh() - Method in class org.hipparchus.complex.FieldComplex: Inverse hyperbolic tangent operation.
atanh() - Method in class org.hipparchus.dfp.Dfp: Inverse hyperbolic tangent operation.
atanh() - Method in class org.hipparchus.util.Binary64: 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: Empty constructor.
atanInternal(Dfp) - Static method in class org.hipparchus.dfp.DfpMath: computes the arc-tangent of the argument.
AVERAGE - Enum constant in enum 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) - Method in interface org.hipparchus.geometry.enclosing.SupportBallGenerator: Create a ball whose boundary lies on prescribed support points.
BANDWIDTH - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: BANDWIDTH.
BANDWIDTH - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

BANDWIDTH.
BASE - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: BASE.
BASE - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

BASE.
BaseAbstractFieldUnivariateIntegrator<T extends CalculusFieldElement<T>> - Class in org.hipparchus.analysis.integration: Provide a default implementation for several generic functions.
BaseAbstractFieldUnivariateIntegrator(Field<T>, double, double) - Constructor for class org.hipparchus.analysis.integration.BaseAbstractFieldUnivariateIntegrator: Construct an integrator with given accuracies.
BaseAbstractFieldUnivariateIntegrator(Field<T>, double, double, int, int) - Constructor for class org.hipparchus.analysis.integration.BaseAbstractFieldUnivariateIntegrator: Construct an integrator with given accuracies and iteration counts.
BaseAbstractFieldUnivariateIntegrator(Field<T>, int, int) - Constructor for class org.hipparchus.analysis.integration.BaseAbstractFieldUnivariateIntegrator: Construct an integrator with given iteration counts.
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.
BaseIterator() - Constructor for class org.hipparchus.util.AbstractOpenIntHashMap.BaseIterator: Simple constructor.
BaseMultiStartMultivariateOptimizer - Class in org.hipparchus.optim: Base class multi-start optimizer for a multivariate function.
BaseMultiStartMultivariateOptimizer(BaseMultivariateOptimizer, int, RandomVectorGenerator) - Constructor for class org.hipparchus.optim.BaseMultiStartMultivariateOptimizer: Create a multi-start optimizer from a single-start optimizer.
BaseMultivariateOptimizer - Class in org.hipparchus.optim: Base class for implementing optimizers for multivariate functions.
BaseMultivariateOptimizer(ConvergenceChecker) - Constructor for class org.hipparchus.optim.BaseMultivariateOptimizer: Simple constructor.
BaseOptimizer - Class in org.hipparchus.optim: Base class for implementing optimizers.
BaseOptimizer(ConvergenceChecker) - Constructor for class org.hipparchus.optim.BaseOptimizer: Simple constructor.
BaseOptimizer(ConvergenceChecker, int, int) - Constructor for class org.hipparchus.optim.BaseOptimizer: Simple constructor.
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.
bellNumber(int) - Static method in class org.hipparchus.util.CombinatoricsUtils: Compute the Bell number (number of partitions of a set).
BELOW_SIDE - Enum constant in enum 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 - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: BESSEL_FUNCTION_BAD_ARGUMENT.
BESSEL_FUNCTION_BAD_ARGUMENT - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

BESSEL_FUNCTION_BAD_ARGUMENT.
BESSEL_FUNCTION_FAILED_CONVERGENCE - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: BESSEL_FUNCTION_FAILED_CONVERGENCE.
BESSEL_FUNCTION_FAILED_CONVERGENCE - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

BESSEL_FUNCTION_FAILED_CONVERGENCE.
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: Simple constructor.
BicubicInterpolator - Class in org.hipparchus.analysis.interpolation: Generates a bicubic interpolating function.
BicubicInterpolator() - Constructor for class org.hipparchus.analysis.interpolation.BicubicInterpolator: Empty constructor.
bigD(double) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the complete elliptic integral D(m) = [K(m) - E(m)]/m.
bigD(double, double) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the incomplete elliptic integral D(φ, m) = [F(φ, m) - E(φ, m)]/m.
bigD(Complex) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the complete elliptic integral D(m) = [K(m) - E(m)]/m.
bigD(Complex, Complex) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the incomplete elliptic integral D(φ, m) = [F(φ, m) - E(φ, m)]/m.
bigD(FieldComplex<T>) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the complete elliptic integral D(m) = [K(m) - E(m)]/m.
bigD(FieldComplex<T>, FieldComplex<T>) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the incomplete elliptic integral D(φ, m) = [F(φ, m) - E(φ, m)]/m.
bigD(T) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the complete elliptic integral D(m) = [K(m) - E(m)]/m.
bigD(T, T) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the incomplete elliptic integral D(φ, m) = [F(φ, m) - E(φ, m)]/m.
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, RoundingMode) - Method in class org.hipparchus.fraction.BigFraction: Gets the fraction as a BigDecimal following the passed scale and rounding mode.
bigDecimalValue(RoundingMode) - Method in class org.hipparchus.fraction.BigFraction: Gets the fraction as a BigDecimal following the passed rounding mode.
bigE(double) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the complete elliptic integral of the second kind E(m).
bigE(double, double) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the incomplete elliptic integral of the second kind E(φ, m).
bigE(Complex) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the complete elliptic integral of the second kind E(m).
bigE(Complex, Complex) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the incomplete elliptic integral of the second kind E(φ, m).
bigE(Complex, Complex, ComplexUnivariateIntegrator, int) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the incomplete elliptic integral of the second kind E(φ, m) using numerical integration.
bigE(FieldComplex<T>) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the complete elliptic integral of the second kind E(m).
bigE(FieldComplex<T>, FieldComplex<T>) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the incomplete elliptic integral of the second kind E(φ, m).
bigE(FieldComplex<T>, FieldComplex<T>, FieldComplexUnivariateIntegrator<T>, int) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the incomplete elliptic integral of the second kind E(φ, m).
bigE(T) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the complete elliptic integral of the second kind E(m).
bigE(T, T) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the incomplete elliptic integral of the second kind E(φ, m).
bigF(double, double) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the incomplete elliptic integral of the first kind F(φ, m).
bigF(Complex, Complex) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the incomplete elliptic integral of the first kind F(φ, m).
bigF(Complex, Complex, ComplexUnivariateIntegrator, int) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the incomplete elliptic integral of the first kind F(φ, m) using numerical integration.
bigF(FieldComplex<T>, FieldComplex<T>) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the incomplete elliptic integral of the first kind F(φ, m).
bigF(FieldComplex<T>, FieldComplex<T>, FieldComplexUnivariateIntegrator<T>, int) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the incomplete elliptic integral of the first kind F(φ, m).
bigF(T, T) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the incomplete elliptic integral of the first kind F(φ, m).
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, long) - 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.
BigFraction.ConvergenceTest - Interface in org.hipparchus.fraction: A test to determine if a series of fractions has converged.
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.
bigK(double) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the complete elliptic integral of the first kind K(m).
bigK(Complex) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the complete elliptic integral of the first kind K(m).
bigK(FieldComplex<T>) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the complete elliptic integral of the first kind K(m).
bigK(T) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the complete elliptic integral of the first kind K(m).
bigKPrime(double) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the complete elliptic integral of the first kind K'(m).
bigKPrime(Complex) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the complete elliptic integral of the first kind K'(m).
bigKPrime(FieldComplex<T>) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the complete elliptic integral of the first kind K'(m).
bigKPrime(T) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the complete elliptic integral of the first kind K'(m).
bigPi(double, double) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the complete elliptic integral of the third kind Π(n, m).
bigPi(double, double, double) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the incomplete elliptic integral of the third kind Π(n, φ, m).
bigPi(Complex, Complex) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the complete elliptic integral of the third kind Π(n, m).
bigPi(Complex, Complex, Complex) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the incomplete elliptic integral of the third kind Π(n, φ, m).
bigPi(Complex, Complex, Complex, ComplexUnivariateIntegrator, int) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the incomplete elliptic integral of the third kind Π(n, φ, m) using numerical integration.
bigPi(FieldComplex<T>, FieldComplex<T>) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the complete elliptic integral of the third kind Π(n, m).
bigPi(FieldComplex<T>, FieldComplex<T>, FieldComplex<T>) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the incomplete elliptic integral of the third kind Π(n, φ, m).
bigPi(FieldComplex<T>, FieldComplex<T>, FieldComplex<T>, FieldComplexUnivariateIntegrator<T>, int) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the incomplete elliptic integral of the third kind Π(n, φ, m).
bigPi(T, T) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the complete elliptic integral of the third kind Π(n, m).
bigPi(T, T, T) - Static method in class org.hipparchus.special.elliptic.legendre.LegendreEllipticIntegral: Get the incomplete elliptic integral of the third kind Π(n, φ, m).
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: Empty constructor.
Binary64 - Class in org.hipparchus.util: This class wraps a double value in an object.
Binary64(double) - Constructor for class org.hipparchus.util.Binary64: Creates a new instance of this class.
Binary64Field - Class in org.hipparchus.util: The field of double precision floating-point numbers.
BINOMIAL_INVALID_PARAMETERS_ORDER - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: BINOMIAL_INVALID_PARAMETERS_ORDER.
BINOMIAL_INVALID_PARAMETERS_ORDER - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

BINOMIAL_INVALID_PARAMETERS_ORDER.
BINOMIAL_NEGATIVE_PARAMETER - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: BINOMIAL_NEGATIVE_PARAMETER.
BINOMIAL_NEGATIVE_PARAMETER - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

BINOMIAL_NEGATIVE_PARAMETER.
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: Empty constructor.
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 - Enum constant in enum org.hipparchus.optim.linear.PivotSelectionRule: The first variable with a negative coefficient in the objective function row will be chosen as entering variable.
Blendable - Interface in org.hipparchus.util: Interface representing classes that can blend with other instances of themselves using a given blending value.
blendArithmeticallyWith(B, double) - Method in interface org.hipparchus.util.Blendable: Blend arithmetically this instance with another one.
blendArithmeticallyWith(B, T) - Method in interface org.hipparchus.util.FieldBlendable: Blend arithmetically this instance with another one.
blendArithmeticallyWith(FieldVector3D<T>, T) - Method in class org.hipparchus.geometry.euclidean.threed.FieldVector3D: Blend arithmetically this instance with another one.
blendArithmeticallyWith(Vector<S, V>, double) - Method in interface org.hipparchus.geometry.Vector: Blend arithmetically this instance with another one.
blendArithmeticallyWith(FieldMatrix<T>, T) - Method in interface org.hipparchus.linear.FieldMatrix: Blend arithmetically this instance with another one.
blendArithmeticallyWith(RealMatrix, double) - Method in interface org.hipparchus.linear.RealMatrix: Blend arithmetically this instance with another one.
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 - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

BOBYQA_BOUND_DIFFERENCE_CONDITION.
BOBYQA_BOUND_DIFFERENCE_CONDITION - Enum constant in enum org.hipparchus.migration.LocalizedMigrationFormats: Deprecated.

BOBYQA_BOUND_DIFFERENCE_CONDITION.
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: Simple constructor.
BOBYQAOptimizer(int, double, double) - Constructor for class org.hipparchus.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer: Simple constructor.
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 - Enum constant in enum org.hipparchus.geometry.partitioning.Side: Code for elements crossing the hyperplane from plus to minus side.
BOTH - Enum constant in enum org.hipparchus.ode.sampling.StepNormalizerBounds: Include both the first and last points.
BOUNDARY - Enum constant in enum 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.
BoundedConstraint - Class in org.hipparchus.optim.nonlinear.vector.constrained: Constraint with lower and upper bounds: \(l \le f(x) \le u\).
BoundedConstraint(RealVector, RealVector) - Constructor for class org.hipparchus.optim.nonlinear.vector.constrained.BoundedConstraint: Simple constructor.
boundedToUnbounded(double[]) - Method in class org.hipparchus.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter: Maps an array from bounded to unbounded.
bracket(CalculusFieldUnivariateFunction<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(CalculusFieldUnivariateFunction<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(CalculusFieldUnivariateFunction<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 CalculusFieldElement<T>> - Interface in org.hipparchus.analysis.solvers: Interface for (univariate real) root-finding algorithms that maintain a bracketed solution.
BracketedRealFieldUnivariateSolver.Interval<T extends CalculusFieldElement<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) - Static method in class org.hipparchus.special.elliptic.jacobi.JacobiEllipticBuilder: Build an algorithm for computing Jacobi elliptic functions.
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(Complex) - Static method in class org.hipparchus.special.elliptic.jacobi.JacobiEllipticBuilder: Build an algorithm for computing Jacobi elliptic functions.
build(FieldComplex<T>) - Static method in class org.hipparchus.special.elliptic.jacobi.JacobiEllipticBuilder: Build an algorithm for computing Jacobi elliptic functions.
build(T) - Static method in class org.hipparchus.special.elliptic.jacobi.JacobiEllipticBuilder: Build an algorithm for computing Jacobi elliptic functions.
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.Binary64: 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 \(R_\mathrm{adj}^2 = 1 - \frac{\mathrm{SSR} (n - 1)}{\mathrm{SSTO} (n - p)}\) where SSR is the sum of squared residuals, SSTO is the total sum of squares, n is the number of observations and p is the number of parameters estimated (including the intercept).
calculateBeta() - Method in class org.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: Used by ZipfDistribution.getNumericalMean().
calculateNumericalVariance() - Method in class org.hipparchus.distribution.discrete.ZipfDistribution: Used by ZipfDistribution.getNumericalVariance().
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 \(R^2 = 1 - \frac{\mathrm{SSR}}{\mathrm{SSTO}}\) where SSR is the sum of squared residuals and SSTO is the total sum of squares
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.
CalculusFieldBivariateFunction<T extends CalculusFieldElement<T>> - Interface in org.hipparchus.analysis: An interface representing a bivariate field function.
CalculusFieldElement<T extends FieldElement<T>> - Interface in org.hipparchus: Interface representing a field with calculus capabilities (sin, cos, ...).
CalculusFieldMultivariateFunction<T extends CalculusFieldElement<T>> - Interface in org.hipparchus.analysis: An interface representing a scalar multivariate function.
CalculusFieldMultivariateMatrixFunction<T extends CalculusFieldElement<T>> - Interface in org.hipparchus.analysis: An interface representing a matrix multivariate function.
CalculusFieldMultivariateVectorFunction<T extends CalculusFieldElement<T>> - Interface in org.hipparchus.analysis: An interface representing a vector multivariate function.
CalculusFieldUnivariateFunction<T extends CalculusFieldElement<T>> - Interface in org.hipparchus.analysis: An interface representing a univariate real function.
CalculusFieldUnivariateMatrixFunction<T extends CalculusFieldElement<T>> - Interface in org.hipparchus.analysis: An interface representing a univariate matrix function.
CalculusFieldUnivariateVectorFunction<T extends CalculusFieldElement<T>> - Interface in org.hipparchus.analysis: An interface representing a univariate vectorial function for any field type.
CanberraDistance - Class in org.hipparchus.clustering.distance: Calculates the Canberra distance between two points.
CanberraDistance() - Constructor for class org.hipparchus.clustering.distance.CanberraDistance: Empty constructor.
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 - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

CANNOT_CLEAR_STATISTIC_CONSTRUCTED_FROM_EXTERNAL_MOMENTS.
CANNOT_CLEAR_STATISTIC_CONSTRUCTED_FROM_EXTERNAL_MOMENTS - Enum constant in enum org.hipparchus.migration.LocalizedMigrationFormats: Deprecated.

CANNOT_CLEAR_STATISTIC_CONSTRUCTED_FROM_EXTERNAL_MOMENTS.
CANNOT_COMPUTE_0TH_ROOT_OF_UNITY - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: CANNOT_COMPUTE_0TH_ROOT_OF_UNITY.
CANNOT_COMPUTE_0TH_ROOT_OF_UNITY - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

CANNOT_COMPUTE_0TH_ROOT_OF_UNITY.
CANNOT_COMPUTE_BETA_DENSITY_AT_0_FOR_SOME_ALPHA - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: CANNOT_COMPUTE_BETA_DENSITY_AT_0_FOR_SOME_ALPHA.
CANNOT_COMPUTE_BETA_DENSITY_AT_0_FOR_SOME_ALPHA - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

CANNOT_COMPUTE_BETA_DENSITY_AT_0_FOR_SOME_ALPHA.
CANNOT_COMPUTE_BETA_DENSITY_AT_1_FOR_SOME_BETA - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: CANNOT_COMPUTE_BETA_DENSITY_AT_1_FOR_SOME_BETA.
CANNOT_COMPUTE_BETA_DENSITY_AT_1_FOR_SOME_BETA - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

CANNOT_COMPUTE_BETA_DENSITY_AT_1_FOR_SOME_BETA.
CANNOT_COMPUTE_NTH_ROOT_FOR_NEGATIVE_N - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: CANNOT_COMPUTE_NTH_ROOT_FOR_NEGATIVE_N.
CANNOT_COMPUTE_NTH_ROOT_FOR_NEGATIVE_N - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

CANNOT_COMPUTE_NTH_ROOT_FOR_NEGATIVE_N.
CANNOT_DISCARD_NEGATIVE_NUMBER_OF_ELEMENTS - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: CANNOT_DISCARD_NEGATIVE_NUMBER_OF_ELEMENTS.
CANNOT_DISCARD_NEGATIVE_NUMBER_OF_ELEMENTS - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

CANNOT_DISCARD_NEGATIVE_NUMBER_OF_ELEMENTS.
CANNOT_FORMAT_INSTANCE_AS_3D_VECTOR - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

CANNOT_FORMAT_INSTANCE_AS_3D_VECTOR.
CANNOT_FORMAT_INSTANCE_AS_3D_VECTOR - Enum constant in enum org.hipparchus.migration.LocalizedMigrationFormats: Deprecated.

CANNOT_FORMAT_INSTANCE_AS_3D_VECTOR.
CANNOT_FORMAT_INSTANCE_AS_COMPLEX - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: CANNOT_FORMAT_INSTANCE_AS_COMPLEX.
CANNOT_FORMAT_INSTANCE_AS_COMPLEX - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

CANNOT_FORMAT_INSTANCE_AS_COMPLEX.
CANNOT_FORMAT_INSTANCE_AS_REAL_VECTOR - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

CANNOT_FORMAT_INSTANCE_AS_REAL_VECTOR.
CANNOT_FORMAT_INSTANCE_AS_REAL_VECTOR - Enum constant in enum org.hipparchus.migration.LocalizedMigrationFormats: Deprecated.

CANNOT_FORMAT_INSTANCE_AS_REAL_VECTOR.
CANNOT_FORMAT_OBJECT_TO_FRACTION - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: CANNOT_FORMAT_OBJECT_TO_FRACTION.
CANNOT_FORMAT_OBJECT_TO_FRACTION - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

CANNOT_FORMAT_OBJECT_TO_FRACTION.
CANNOT_INCREMENT_STATISTIC_CONSTRUCTED_FROM_EXTERNAL_MOMENTS - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

CANNOT_INCREMENT_STATISTIC_CONSTRUCTED_FROM_EXTERNAL_MOMENTS.
CANNOT_INCREMENT_STATISTIC_CONSTRUCTED_FROM_EXTERNAL_MOMENTS - Enum constant in enum org.hipparchus.migration.LocalizedMigrationFormats: Deprecated.

CANNOT_INCREMENT_STATISTIC_CONSTRUCTED_FROM_EXTERNAL_MOMENTS.
CANNOT_NORMALIZE_A_ZERO_NORM_VECTOR - Enum constant in enum org.hipparchus.geometry.LocalizedGeometryFormats: CANNOT_NORMALIZE_A_ZERO_NORM_VECTOR.
CANNOT_NORMALIZE_A_ZERO_NORM_VECTOR - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

CANNOT_NORMALIZE_A_ZERO_NORM_VECTOR.
CANNOT_PARSE - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: CANNOT_PARSE.
CANNOT_PARSE - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

CANNOT_PARSE.
CANNOT_PARSE_AS_TYPE - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: CANNOT_PARSE_AS_TYPE.
CANNOT_PARSE_AS_TYPE - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

CANNOT_PARSE_AS_TYPE.
CANNOT_RETRIEVE_AT_NEGATIVE_INDEX - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

CANNOT_RETRIEVE_AT_NEGATIVE_INDEX.
CANNOT_RETRIEVE_AT_NEGATIVE_INDEX - Enum constant in enum org.hipparchus.migration.LocalizedMigrationFormats: Deprecated.

CANNOT_RETRIEVE_AT_NEGATIVE_INDEX.
CANNOT_SET_AT_NEGATIVE_INDEX - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

CANNOT_SET_AT_NEGATIVE_INDEX.
CANNOT_SET_AT_NEGATIVE_INDEX - Enum constant in enum org.hipparchus.migration.LocalizedMigrationFormats: Deprecated.

CANNOT_SET_AT_NEGATIVE_INDEX.
CANNOT_SUBSTITUTE_ELEMENT_FROM_EMPTY_ARRAY - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: CANNOT_SUBSTITUTE_ELEMENT_FROM_EMPTY_ARRAY.
CANNOT_SUBSTITUTE_ELEMENT_FROM_EMPTY_ARRAY - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

CANNOT_SUBSTITUTE_ELEMENT_FROM_EMPTY_ARRAY.
CANNOT_TRANSFORM_TO_DOUBLE - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

CANNOT_TRANSFORM_TO_DOUBLE.
CANNOT_TRANSFORM_TO_DOUBLE - Enum constant in enum org.hipparchus.migration.LocalizedMigrationFormats: Deprecated.

CANNOT_TRANSFORM_TO_DOUBLE.
CARDAN_ANGLES_SINGULARITY - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

CARDAN_ANGLES_SINGULARITY.
CARDAN_ANGLES_SINGULARITY - Enum constant in enum org.hipparchus.migration.LocalizedMigrationFormats: Deprecated.

CARDAN_ANGLES_SINGULARITY.
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.
CarlsonEllipticIntegral - Class in org.hipparchus.special.elliptic.carlson: Elliptic integrals in Carlson symmetric form.
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 interface org.hipparchus.analysis.differentiation.Derivative1: Cubic root.
cbrt() - Method in interface org.hipparchus.analysis.differentiation.FieldDerivative1: Cubic root.
cbrt() - Method in class org.hipparchus.analysis.differentiation.FieldUnivariateDerivative2: Cubic root.
cbrt() - Method in class org.hipparchus.analysis.differentiation.UnivariateDerivative2: Cubic root.
cbrt() - Method in interface org.hipparchus.CalculusFieldElement: Cubic root.
cbrt() - Method in class org.hipparchus.complex.Complex: Cubic root.
cbrt() - Method in class org.hipparchus.complex.FieldComplex: Cubic root.
cbrt() - Method in class org.hipparchus.util.Binary64: 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: Empty constructor.
cd() - Method in class org.hipparchus.special.elliptic.jacobi.CopolarD: Get the value of the cd function.
cd() - Method in class org.hipparchus.special.elliptic.jacobi.FieldCopolarD: Get the value of the cd function.
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 interface org.hipparchus.analysis.differentiation.FieldDerivative: Get the smallest whole number larger than instance.
ceil() - Method in interface org.hipparchus.CalculusFieldElement: Get the smallest whole number larger than instance.
ceil() - Method in class org.hipparchus.complex.Complex: Get the smallest whole number larger than instance.
ceil() - Method in class org.hipparchus.complex.FieldComplex: 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 class org.hipparchus.util.Binary64: 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: Empty constructor.
ceilDiv(int, int) - Static method in class org.hipparchus.util.FastMath: Finds q such that a = q b + r with b < r <= 0 if b > 0 and 0 <= r < b if b < 0.
ceilDiv(long, int) - Static method in class org.hipparchus.util.FastMath: Finds q such that a = q b + r with b < r <= 0 if b > 0 and 0 <= r < b if b < 0.
ceilDiv(long, long) - Static method in class org.hipparchus.util.FastMath: Finds q such that a = q b + r with b < r <= 0 if b > 0 and 0 <= r < b if b < 0.
ceilDivExact(int, int) - Static method in class org.hipparchus.util.FastMath: Finds q such that a = q b + r with b < r <= 0 if b > 0 and 0 <= r < b if b < 0.
ceilDivExact(long, long) - Static method in class org.hipparchus.util.FastMath: Finds q such that a = q b + r with b < r <= 0 if b > 0 and 0 <= r < b if b < 0.
ceilMod(int, int) - Static method in class org.hipparchus.util.FastMath: Finds r such that a = q b + r with b < r <= 0 if b > 0 and 0 <= r < b if b < 0.
ceilMod(long, int) - Static method in class org.hipparchus.util.FastMath: Finds r such that a = q b + r with b < r <= 0 if b > 0 and 0 <= r < b if b < 0.
ceilMod(long, long) - Static method in class org.hipparchus.util.FastMath: Finds r such that a = q b + r with b < r <= 0 if b > 0 and 0 <= r < b if b < 0.
CENTRAL - Enum constant in enum 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: Empty constructor.
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.
checkBetweenZeroAndOneIncluded(double) - Static method in class org.hipparchus.analysis.polynomials.SmoothStepFactory: Check that input is between [0:1].
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.
checkEqualLength(T[], T[]) - Static method in class org.hipparchus.util.MathArrays: Check that both arrays have the same length.
checkEqualLength(T[], T[], 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.
checkInputEdges(double, double) - Method in class org.hipparchus.analysis.polynomials.SmoothStepFactory.FieldSmoothStepFunction: Check that left edge is lower than right edge.
checkInputEdges(double, double) - Method in class org.hipparchus.analysis.polynomials.SmoothStepFactory.SmoothStepFunction: Check that left edge is lower than right edge.
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.
checkOrder(T[]) - Static method in class org.hipparchus.util.MathArrays: Check that the given array is sorted in strictly increasing order.
checkOrder(T[], MathArrays.OrderDirection, boolean) - Static method in class org.hipparchus.util.MathArrays: Check that the given array is sorted.
checkOrder(T[], 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, V>) - 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, V>) - 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: Computes the Chi-Square statistic comparing observed and expected frequency counts.
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: 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.
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: Computes a Chi-Square two sample test statistic comparing bin frequency counts in observed1 and observed2.
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: Returns the observed significance level, or p-value, associated with a Chi-square goodness of fit test comparing the observed frequency counts to those in the expected array.
chiSquareTest(double[], long[], double) - Method in class org.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: Performs a Chi-square goodness of fit test evaluating the null hypothesis that the observed counts conform to the frequency distribution described by the expected counts, with significance level alpha.
chiSquareTest(long[][]) - Method in class org.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: Returns the observed significance level, or p-value, associated with a chi-square test of independence based on the input counts array, viewed as a two-way table.
chiSquareTest(long[][], double) - Method in class org.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: 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 - Class in org.hipparchus.stat.inference: Implements Chi-Square test statistics.
ChiSquareTest() - Constructor for class org.hipparchus.stat.inference.ChiSquareTest: Empty constructor.
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: Returns the observed significance level, or p-value, associated with a Chi-Square two sample test comparing bin frequency counts in observed1 and observed2.
chiSquareTestDataSetsComparison(long[], long[], double) - Method in class org.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: Performs a Chi-Square two sample test comparing two binned data sets.
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.
clamp(double, double, double) - Static method in class org.hipparchus.util.FastMath: Clamp a value within an interval.
clamp(float, float, float) - Static method in class org.hipparchus.util.FastMath: Clamp a value within an interval.
clamp(int, int, int) - Static method in class org.hipparchus.util.FastMath: Clamp a value within an interval.
clamp(long, int, int) - Static method in class org.hipparchus.util.FastMath: Clamp a value within an interval.
clamp(long, long, long) - Static method in class org.hipparchus.util.FastMath: Clamp a value within an interval.
clampInput(double, double, double) - Method in class org.hipparchus.analysis.polynomials.SmoothStepFactory.SmoothStepFunction: Clamp input between edges.
clampInput(double, double, T) - Method in class org.hipparchus.analysis.polynomials.SmoothStepFactory.FieldSmoothStepFunction: Clamp input between edges.
CLASS_DOESNT_IMPLEMENT_COMPARABLE - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

CLASS_DOESNT_IMPLEMENT_COMPARABLE.
CLASS_DOESNT_IMPLEMENT_COMPARABLE - Enum constant in enum org.hipparchus.migration.LocalizedMigrationFormats: Deprecated.

CLASS_DOESNT_IMPLEMENT_COMPARABLE.
ClassicalRungeKuttaFieldIntegrator<T extends CalculusFieldElement<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.
clearCache() - Method in class org.hipparchus.random.JDKRandomGenerator: Clears the cache used by the default implementation of RandomGenerator.nextGaussian().
clearEventDetectors() - Method in class org.hipparchus.ode.AbstractFieldIntegrator: Remove all the event handlers that have been added to the integrator.
clearEventDetectors() - Method in class org.hipparchus.ode.AbstractIntegrator: Remove all the event handlers that have been added to the integrator.
clearEventDetectors() - Method in interface org.hipparchus.ode.FieldODEIntegrator: Remove all the event handlers that have been added to the integrator.
clearEventDetectors() - 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.
clearStepEndHandlers() - Method in class org.hipparchus.ode.AbstractFieldIntegrator: Remove all the handlers for step ends that have been added to the integrator.
clearStepEndHandlers() - Method in class org.hipparchus.ode.AbstractIntegrator: Remove all the handlers for step ends that have been added to the integrator.
clearStepEndHandlers() - Method in interface org.hipparchus.ode.FieldODEIntegrator: Remove all the handlers for step ends that have been added to the integrator.
clearStepEndHandlers() - Method in interface org.hipparchus.ode.ODEIntegrator: Remove all the handlers for step ends that have been added to the integrator.
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 - Enum constant in enum org.hipparchus.geometry.LocalizedGeometryFormats: CLOSE_VERTICES.
CLOSE_VERTICES - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

CLOSE_VERTICES.
CLOSEST_ORTHOGONAL_MATRIX_HAS_NEGATIVE_DETERMINANT - Enum constant in enum org.hipparchus.geometry.LocalizedGeometryFormats: CLOSEST_ORTHOGONAL_MATRIX_HAS_NEGATIVE_DETERMINANT.
CLOSEST_ORTHOGONAL_MATRIX_HAS_NEGATIVE_DETERMINANT - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

CLOSEST_ORTHOGONAL_MATRIX_HAS_NEGATIVE_DETERMINANT.
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: Empty constructor.
ClusterAlgorithmComparison.ClusterPlot - Class in org.hipparchus.samples: Plot component.
ClusterAlgorithmComparison.Display - Class in org.hipparchus.samples: Display frame.
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: Simple constructor.
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: Simple constructor.
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.
cn() - Method in class org.hipparchus.special.elliptic.jacobi.CopolarN: Get the value of the cn function.
cn() - Method in class org.hipparchus.special.elliptic.jacobi.FieldCopolarN: Get the value of the cn function.
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 - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: COLUMN_INDEX.
COLUMN_INDEX - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

COLUMN_INDEX.
COLUMN_INDEX_OUT_OF_RANGE - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

COLUMN_INDEX_OUT_OF_RANGE.
COLUMN_INDEX_OUT_OF_RANGE - Enum constant in enum org.hipparchus.migration.LocalizedMigrationFormats: Deprecated.

COLUMN_INDEX_OUT_OF_RANGE.
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(UnivariateDerivative1) - Method in class org.hipparchus.analysis.differentiation.UnivariateDerivative1
compareTo(UnivariateDerivative2) - Method in class org.hipparchus.analysis.differentiation.UnivariateDerivative2
compareTo(Complex) - Method in class org.hipparchus.complex.Complex
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(Binary64) - Method in class org.hipparchus.util.Binary64: 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 - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: COMPLEX_CANNOT_BE_CONSIDERED_A_REAL_NUMBER.
ComplexComparator - Class in org.hipparchus.complex: Comparator for Complex Numbers.
ComplexComparator() - Constructor for class org.hipparchus.complex.ComplexComparator: Empty constructor.
ComplexEigenDecomposition - Class in org.hipparchus.linear: Given a matrix A, it computes a complex eigen decomposition AV = VD.
ComplexEigenDecomposition(RealMatrix) - Constructor for class org.hipparchus.linear.ComplexEigenDecomposition: Constructor for decomposition.
ComplexEigenDecomposition(RealMatrix, double, double, double) - 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: This class converts complex Ordinary Differential Equations into real ones.
ComplexODEConverter() - Constructor for class org.hipparchus.ode.ComplexODEConverter: Empty constructor.
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.
ComplexUnivariateIntegrator - Class in org.hipparchus.complex: Wrapper to perform univariate complex integration using an underlying real integration algorithms.
ComplexUnivariateIntegrator(UnivariateIntegrator) - Constructor for class org.hipparchus.complex.ComplexUnivariateIntegrator: Crate a complex integrator from a real integrator.
ComplexUtils - Class in org.hipparchus.complex: Static implementations of common Complex utilities functions.
compose(double...) - Method in interface org.hipparchus.analysis.differentiation.Derivative: Compute composition of the instance by a univariate function.
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...) - Method in class org.hipparchus.analysis.differentiation.Gradient: Compute composition of the instance by a univariate function.
compose(double...) - Method in class org.hipparchus.analysis.differentiation.SparseGradient: Compute composition of the instance by a univariate function.
compose(double...) - Method in class org.hipparchus.analysis.differentiation.UnivariateDerivative1: Compute composition of the instance by a univariate function.
compose(double...) - Method in class org.hipparchus.analysis.differentiation.UnivariateDerivative2: 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 interface org.hipparchus.analysis.differentiation.Derivative1: Compute composition of the instance by a univariate function differentiable at order 1.
compose(double, double) - Method in class org.hipparchus.analysis.differentiation.Gradient: Compute composition of the instance by a univariate function differentiable at order 1.
compose(double, double) - Method in class org.hipparchus.analysis.differentiation.SparseGradient: Compute composition of the instance by a univariate function differentiable at order 1.
compose(double, double) - Method in class org.hipparchus.analysis.differentiation.UnivariateDerivative1: Compute composition of the instance by a univariate function differentiable at order 1.
compose(FieldTaylorMap<T>) - Method in class org.hipparchus.analysis.differentiation.FieldTaylorMap: Compose the instance with another Taylor map as \(\mathrm{this} \circ \mathrm{other}\).
compose(TaylorMap) - Method in class org.hipparchus.analysis.differentiation.TaylorMap: Compose the instance with another Taylor map as \(\mathrm{this} \circ \mathrm{other}\).
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(S, S) - Method in interface org.hipparchus.analysis.differentiation.FieldDerivative1: Compute composition of the instance by a univariate function differentiable at order 1.
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.
compose(T, T) - Method in class org.hipparchus.analysis.differentiation.FieldGradient: Compute composition of the instance by a function.
compose(T, T) - Method in class org.hipparchus.analysis.differentiation.FieldUnivariateDerivative1: Compute composition of the instance by a function.
compose(T, T, T) - Method in class org.hipparchus.analysis.differentiation.FieldUnivariateDerivative2: Compute composition of the instance 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.
computeObjectiveValue(T) - Method in class org.hipparchus.analysis.integration.BaseAbstractFieldUnivariateIntegrator: Compute 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.AbstractRuleFactory: Computes the rule for the given order.
computeRule(int) - Method in class org.hipparchus.analysis.integration.gauss.ConvertingRuleFactory: Computes the rule for the given order.
computeRule(int) - Method in class org.hipparchus.analysis.integration.gauss.FieldAbstractRuleFactory: Computes the rule for the given order.
computeRule(int) - Method in class org.hipparchus.analysis.integration.gauss.FieldHermiteRuleFactory: Computes the rule for the given order.
computeRule(int) - Method in class org.hipparchus.analysis.integration.gauss.FieldLaguerreRuleFactory: Computes the rule for the given order.
computeRule(int) - Method in class org.hipparchus.analysis.integration.gauss.FieldLegendreRuleFactory: 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.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.MultistepFieldIntegrator: Compute step grow/shrink factor according to normalized error.
computeStepGrowShrinkFactor(double) - Method in class org.hipparchus.ode.MultistepIntegrator: 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.
conjugate() - Method in class org.hipparchus.complex.FieldComplex: 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(int, double) - Static method in class org.hipparchus.analysis.differentiation.Gradient: Build an instance corresponding to a constant value.
constant(int, T) - Static method in class org.hipparchus.analysis.differentiation.FieldGradient: Build an instance corresponding to 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: Simple constructor.
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 - Interface in org.hipparchus.optim.nonlinear.vector.constrained: Generic constraint.
CONSTRAINT - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: CONSTRAINT.
CONSTRAINT - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

CONSTRAINT.
ConstraintOptimizer - Class in org.hipparchus.optim.nonlinear.vector.constrained: Abstract Constraint Optimizer.
ConstraintOptimizer() - Constructor for class org.hipparchus.optim.nonlinear.vector.constrained.ConstraintOptimizer: Simple constructor.
CONSTRAINTS_RANK - Enum constant in enum org.hipparchus.optim.LocalizedOptimFormats: CONSTRAINTS_RANK.
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.AbstractOpenIntHashMap: Check if a value is associated with a key.
containsKey(int, int) - Method in class org.hipparchus.util.AbstractOpenIntHashMap: Check if the tables contain an element associated with specified key at specified index.
CONTINUE - Enum constant in enum org.hipparchus.migration.ode.events.EventHandler.Action: Deprecated.

Continue indicator.
CONTINUE - Enum constant in enum org.hipparchus.ode.events.Action: Continue indicator.
CONTINUED_FRACTION_INFINITY_DIVERGENCE - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: CONTINUED_FRACTION_INFINITY_DIVERGENCE.
CONTINUED_FRACTION_INFINITY_DIVERGENCE - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

CONTINUED_FRACTION_INFINITY_DIVERGENCE.
CONTINUED_FRACTION_NAN_DIVERGENCE - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: CONTINUED_FRACTION_NAN_DIVERGENCE.
CONTINUED_FRACTION_NAN_DIVERGENCE - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

CONTINUED_FRACTION_NAN_DIVERGENCE.
ContinuedFraction - Class in org.hipparchus.util: Provides a generic means to evaluate continued fractions.
ContinuedFraction() - Constructor for class org.hipparchus.util.ContinuedFraction: Default constructor.
ContinuousModuleValue - Class in org.hipparchus.samples.complex: Classical method for domain coloring.
ContinuousModuleValue(double) - Constructor for class org.hipparchus.samples.complex.ContinuousModuleValue: Simple 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.

Empty constructor.
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 - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: CONTRACTION_CRITERIA_SMALLER_THAN_EXPANSION_FACTOR.
CONTRACTION_CRITERIA_SMALLER_THAN_EXPANSION_FACTOR - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

CONTRACTION_CRITERIA_SMALLER_THAN_EXPANSION_FACTOR.
CONTRACTION_CRITERIA_SMALLER_THAN_ONE - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: CONTRACTION_CRITERIA_SMALLER_THAN_ONE.
CONTRACTION_CRITERIA_SMALLER_THAN_ONE - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

CONTRACTION_CRITERIA_SMALLER_THAN_ONE.
converged(double, double, double, double) - Method in class org.hipparchus.optim.nonlinear.vector.constrained.ADMMQPConvergenceChecker: Evaluate convergence.
converged(int, LagrangeSolution, LagrangeSolution) - Method in class org.hipparchus.optim.nonlinear.vector.constrained.ADMMQPConvergenceChecker: Check if the optimization algorithm has converged.
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.ConvergenceCheckerAndMultiplexer: Check if the optimization algorithm has converged.
converged(int, P, P) - Method in class org.hipparchus.optim.ConvergenceCheckerOrMultiplexer: 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 - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: CONVERGENCE_FAILED.
CONVERGENCE_FAILED - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

CONVERGENCE_FAILED.
ConvergenceChecker - Interface in org.hipparchus.optim: This interface specifies how to check if an optimization algorithm has converged.
ConvergenceCheckerAndMultiplexer - Class in org.hipparchus.optim: Multiplexer for ConvergenceChecker, checking all the checkers converged.
ConvergenceCheckerAndMultiplexer(List<ConvergenceChecker>) - Constructor for class org.hipparchus.optim.ConvergenceCheckerAndMultiplexer: Simple constructor.
ConvergenceCheckerOrMultiplexer - Class in org.hipparchus.optim: Multiplexer for ConvergenceChecker, checking one of the checkers converged.
ConvergenceCheckerOrMultiplexer(List<ConvergenceChecker>) - Constructor for class org.hipparchus.optim.ConvergenceCheckerOrMultiplexer: Simple constructor.
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.
convergent(double, int, BigFraction.ConvergenceTest) - Static method in class org.hipparchus.fraction.BigFraction: Returns the last element of the series of convergent-steps to approximate the given value.
convergent(double, int, Fraction.ConvergenceTest) - Static method in class org.hipparchus.fraction.Fraction: Returns the last element of the series of convergent-steps to approximate the given value.
convergents(double, int) - Static method in class org.hipparchus.fraction.BigFraction: Generate a stream of convergents from a real number.
convergents(double, int) - Static method in class org.hipparchus.fraction.Fraction: Generate a stream of convergents from a real number.
convertEquations(ComplexOrdinaryDifferentialEquation) - Method in class org.hipparchus.ode.ComplexODEConverter: Convert an equations set.
ConvertingRuleFactory<T extends FieldElement<T>> - Class in org.hipparchus.analysis.integration.gauss: Factory converting field-based FieldRuleFactory into RuleFactory.
ConvertingRuleFactory(FieldRuleFactory<T>) - Constructor for class org.hipparchus.analysis.integration.gauss.ConvertingRuleFactory: Simple constructor.
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.
CopolarC - Class in org.hipparchus.special.elliptic.jacobi: Copolar trio with pole at point c in Glaisher’s Notation.
CopolarD - Class in org.hipparchus.special.elliptic.jacobi: Copolar trio with pole at point d in Glaisher’s Notation.
CopolarN - Class in org.hipparchus.special.elliptic.jacobi: Copolar trio with pole at point n in Glaisher’s Notation.
CopolarS - Class in org.hipparchus.special.elliptic.jacobi: Copolar trio with pole at point s in Glaisher’s Notation.
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.FieldGradient: Returns the instance with the sign of the argument.
copySign(double) - Method in class org.hipparchus.analysis.differentiation.FieldUnivariateDerivative1: Returns the instance with the sign of the argument.
copySign(double) - Method in class org.hipparchus.analysis.differentiation.FieldUnivariateDerivative2: Returns the instance with the sign of the argument.
copySign(double) - Method in class org.hipparchus.analysis.differentiation.Gradient: 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.analysis.differentiation.UnivariateDerivative1: Returns the instance with the sign of the argument.
copySign(double) - Method in class org.hipparchus.analysis.differentiation.UnivariateDerivative2: Returns the instance with the sign of the argument.
copySign(double) - Method in interface org.hipparchus.CalculusFieldElement: Returns the instance with the sign of the argument.
copySign(double) - Method in class org.hipparchus.complex.Complex: Returns the instance with the sign of the argument.
copySign(double) - Method in class org.hipparchus.complex.FieldComplex: 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 class org.hipparchus.util.Binary64: 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(FieldGradient<T>) - Method in class org.hipparchus.analysis.differentiation.FieldGradient: Returns the instance with the sign of the argument.
copySign(FieldUnivariateDerivative1<T>) - Method in class org.hipparchus.analysis.differentiation.FieldUnivariateDerivative1: Returns the instance with the sign of the argument.
copySign(FieldUnivariateDerivative2<T>) - Method in class org.hipparchus.analysis.differentiation.FieldUnivariateDerivative2: Returns the instance with the sign of the argument.
copySign(Gradient) - Method in class org.hipparchus.analysis.differentiation.Gradient: 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(UnivariateDerivative1) - Method in class org.hipparchus.analysis.differentiation.UnivariateDerivative1: Returns the instance with the sign of the argument.
copySign(UnivariateDerivative2) - Method in class org.hipparchus.analysis.differentiation.UnivariateDerivative2: Returns the instance with the sign of the argument.
copySign(Complex) - Method in class org.hipparchus.complex.Complex: Returns the instance with the sign of the argument.
copySign(FieldComplex<T>) - Method in class org.hipparchus.complex.FieldComplex: 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(Binary64) - Method in class org.hipparchus.util.Binary64: 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 class org.hipparchus.analysis.differentiation.FieldGradient: Returns the instance with the sign of the argument.
copySign(T) - Method in class org.hipparchus.analysis.differentiation.FieldUnivariateDerivative1: Returns the instance with the sign of the argument.
copySign(T) - Method in class org.hipparchus.analysis.differentiation.FieldUnivariateDerivative2: Returns the instance with the sign of the argument.
copySign(T) - Method in interface org.hipparchus.CalculusFieldElement: 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.
copyValue(int, int) - Method in interface org.hipparchus.util.AbstractOpenIntHashMap.ValueCopier: Copy a value.
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 interface org.hipparchus.analysis.differentiation.Derivative1: Cosine operation.
cos() - Method in class org.hipparchus.analysis.differentiation.DerivativeStructure: Cosine operation.
cos() - Method in interface org.hipparchus.analysis.differentiation.FieldDerivative1: Cosine operation.
cos() - Method in class org.hipparchus.analysis.differentiation.FieldDerivativeStructure: Cosine operation.
cos() - Method in class org.hipparchus.analysis.differentiation.FieldUnivariateDerivative2: Cosine operation.
cos() - Method in class org.hipparchus.analysis.differentiation.UnivariateDerivative2: Cosine operation.
cos() - Method in interface org.hipparchus.CalculusFieldElement: Cosine operation.
cos() - Method in class org.hipparchus.complex.Complex: Compute the cosine of this complex number.
cos() - Method in class org.hipparchus.complex.FieldComplex: Compute the cosine of this complex number.
cos() - Method in class org.hipparchus.dfp.Dfp: Cosine operation.
cos() - Method in class org.hipparchus.util.Binary64: 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: Empty constructor.
cosAngle(double[], double[]) - Static method in class org.hipparchus.util.MathArrays: Calculates the cosine of the angle between two vectors.
cosh() - Method in interface org.hipparchus.analysis.differentiation.Derivative: Hyperbolic cosine operation.
cosh() - Method in interface org.hipparchus.analysis.differentiation.Derivative1: Hyperbolic cosine operation.
cosh() - Method in class org.hipparchus.analysis.differentiation.DerivativeStructure: Hyperbolic cosine operation.
cosh() - Method in interface org.hipparchus.analysis.differentiation.FieldDerivative: Hyperbolic cosine operation.
cosh() - Method in interface org.hipparchus.analysis.differentiation.FieldDerivative1: Hyperbolic cosine operation.
cosh() - Method in class org.hipparchus.analysis.differentiation.FieldDerivativeStructure: Hyperbolic cosine operation.
cosh() - Method in class org.hipparchus.analysis.differentiation.FieldUnivariateDerivative2: Hyperbolic cosine operation.
cosh() - Method in class org.hipparchus.analysis.differentiation.UnivariateDerivative2: Hyperbolic cosine operation.
cosh() - Method in interface org.hipparchus.CalculusFieldElement: 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.complex.FieldComplex: Compute the hyperbolic cosine of this complex number.
cosh() - Method in class org.hipparchus.dfp.Dfp: Hyperbolic cosine operation.
cosh() - Method in class org.hipparchus.util.Binary64: Hyperbolic cosine operation.
cosh() - Method in class org.hipparchus.util.FieldSinhCosh: Get the value of the hyperbolic cosine.
cosh() - Method in class org.hipparchus.util.FieldTuple: Hyperbolic cosine operation.
cosh() - Method in class org.hipparchus.util.SinhCosh: Get the value of the hyperbolic cosine.
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: Empty constructor.
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 - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

COVARIANCE_MATRIX.
COVARIANCE_MATRIX - Enum constant in enum org.hipparchus.stat.LocalizedStatFormats: COVARIANCE_MATRIX.
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(AdaptableInterval, int, BracketedUnivariateSolver<UnivariateFunction>, ODEEventHandler) - Method in class org.hipparchus.ode.events.AbstractODEDetector: Build a new instance.
create(AdaptableInterval, int, BracketedUnivariateSolver<UnivariateFunction>, ODEEventHandler) - Method in class org.hipparchus.ode.events.EventSlopeFilter: Build a new instance.
create(FieldAdaptableInterval<E>, int, BracketedRealFieldUnivariateSolver<E>, FieldODEEventHandler<E>) - Method in class org.hipparchus.ode.events.AbstractFieldODEDetector: Build a new instance.
create(FieldAdaptableInterval<E>, int, BracketedRealFieldUnivariateSolver<E>, FieldODEEventHandler<E>) - Method in class org.hipparchus.ode.events.FieldEventSlopeFilter: Build a new instance.
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: Create a canvas
createChart(String, int, int, StyleManager.LegendPosition) - Static method in class org.hipparchus.samples.IntegerDistributionComparison: Create a chart.
createChart(String, int, int, StyleManager.LegendPosition) - Static method in class org.hipparchus.samples.RealDistributionComparison: Create a chart.
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: Create a circle sprite.
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.
createComplex(T, T) - Method in class org.hipparchus.complex.FieldComplex: 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: Create a component.
createComponent(String, int, int, String[], RealDistribution...) - Static method in class org.hipparchus.samples.RealDistributionComparison: Create a component.
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: Create a cross sprite.
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: Create a list of random points.
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 - Enum constant in enum org.hipparchus.geometry.LocalizedGeometryFormats: CROSSING_BOUNDARY_LOOPS.
CROSSING_BOUNDARY_LOOPS - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

CROSSING_BOUNDARY_LOOPS.
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(FieldVector2D<T>, FieldVector2D<T>) - Method in class org.hipparchus.geometry.euclidean.twod.FieldVector2D: Compute the cross-product of the instance and the given points.
crossProduct(Vector2D, Vector2D) - Method in class org.hipparchus.geometry.euclidean.twod.FieldVector2D: Compute the cross-product of the instance and the given points.
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, Vector3D>) - Method in class org.hipparchus.geometry.euclidean.threed.Vector3D: Compute the cross-product of the instance with another vector.
cs() - Method in class org.hipparchus.special.elliptic.jacobi.CopolarS: Get the value of the cs function.
cs() - Method in class org.hipparchus.special.elliptic.jacobi.FieldCopolarS: Get the value of the cs function.
CUMULATIVE_PROBABILITY_RETURNED_NAN - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: CUMULATIVE_PROBABILITY_RETURNED_NAN.
CUMULATIVE_PROBABILITY_RETURNED_NAN - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

CUMULATIVE_PROBABILITY_RETURNED_NAN.
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).
currentInterval(FieldODEStateAndDerivative<T>) - Method in interface org.hipparchus.ode.events.FieldAdaptableInterval: Get the current value of maximal time interval between events handler checks.
currentInterval(ODEStateAndDerivative) - Method in interface org.hipparchus.ode.events.AdaptableInterval: Get the current value of maximal time interval between events handler checks.

D

DANTZIG - Enum constant in enum 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.
dc() - Method in class org.hipparchus.special.elliptic.jacobi.CopolarC: Get the value of the dc function.
dc() - Method in class org.hipparchus.special.elliptic.jacobi.FieldCopolarC: Get the value of the dc function.
DctNormalization - Enum in org.hipparchus.transform: This enumeration defines the various types of normalizations that can be applied to discrete cosine transforms (DCT).
decompose(double[][]) - Method in class org.hipparchus.linear.QRDecomposition: Decompose matrix.
decompose(double[][]) - Method in class org.hipparchus.linear.RRQRDecomposition: Decompose matrix.
decompose(FieldMatrix<T>) - Method in class org.hipparchus.linear.FieldLUDecomposer: Get a solver for finding the A × X = B solution in least square sense.
decompose(FieldMatrix<T>) - Method in interface org.hipparchus.linear.FieldMatrixDecomposer: Get a solver for finding the A × X = B solution in least square sense.
decompose(FieldMatrix<T>) - Method in class org.hipparchus.linear.FieldQRDecomposer: Get a solver for finding the A × X = B solution in least square sense.
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 - Enum constant in enum 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.BaseAbstractFieldUnivariateIntegrator: Default absolute accuracy.
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_ALPHA - Static variable in class org.hipparchus.optim.nonlinear.vector.constrained.ADMMQPOption: Default Value of Alpha filter for ADMM iteration.
DEFAULT_ALPHA - Static variable in class org.hipparchus.util.MerweUnscentedTransform: Default value for alpha (0.5, see reference).
DEFAULT_B - Static variable in class org.hipparchus.optim.nonlinear.vector.constrained.SQPOption: Default parameter for quadratic line search.
DEFAULT_BANDWIDTH - Static variable in class org.hipparchus.analysis.interpolation.LoessInterpolator: Default value of the bandwidth parameter.
DEFAULT_BETA - Static variable in class org.hipparchus.util.MerweUnscentedTransform: Default value for beta (2.0, see reference).
DEFAULT_BIN_COUNT - Static variable in class org.hipparchus.stat.fitting.EmpiricalDistribution: Default bin count
DEFAULT_CONV_CRITERIA - Static variable in class org.hipparchus.optim.nonlinear.vector.constrained.SQPOption: Default convergence criteria.
DEFAULT_DECIMAL_DIGITS - Static variable in class org.hipparchus.analysis.integration.gauss.GaussIntegratorFactory: Number of digits for Legendre high precision.
DEFAULT_EIGENVECTORS_EQUALITY - Static variable in class org.hipparchus.linear.ComplexEigenDecomposition: Default threshold below which eigenvectors are considered equal.
DEFAULT_EPS - Static variable in class org.hipparchus.optim.nonlinear.vector.constrained.ADMMQPOption: Default Absolute and Relative Tolerance for convergence.
DEFAULT_EPS_INFEASIBLE - Static variable in class org.hipparchus.optim.nonlinear.vector.constrained.ADMMQPOption: Default Absolute and Relative Tolerance for Infeasible Criteria.
DEFAULT_EPSILON - Static variable in class org.hipparchus.distribution.discrete.PoissonDistribution: Default convergence criterion.
DEFAULT_EPSILON - Static variable in class org.hipparchus.linear.ComplexEigenDecomposition: Default value to use for internal epsilon.
DEFAULT_EPSILON - Static variable in class org.hipparchus.linear.EigenDecompositionNonSymmetric: Default epsilon value to use for internal epsilon
DEFAULT_EPSILON - Static variable in class org.hipparchus.linear.EigenDecompositionSymmetric: Default epsilon value to use for internal epsilon
DEFAULT_EPSILON - Static variable in class org.hipparchus.optim.nonlinear.vector.constrained.SQPOption: Default tolerance for convergence and active constraint.
DEFAULT_EPSILON - Static variable in class org.hipparchus.stat.descriptive.rank.RandomPercentile: Default quantile estimation error setting
DEFAULT_EPSILON_AV_VD_CHECK - Static variable in class org.hipparchus.linear.ComplexEigenDecomposition: Internally used epsilon criteria for final AV=VD check.
DEFAULT_EXPECTED_SIZE - Static variable in class org.hipparchus.util.AbstractOpenIntHashMap: Default starting size.
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_HIGH_EXP - Static variable in class org.hipparchus.util.RyuDouble: Default high switch level to scientific notation.
DEFAULT_INITIAL_RADIUS - Static variable in class org.hipparchus.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer: Default value for BOBYQAOptimizer.initialTrustRegionRadius: 10.0 .
DEFAULT_KAPPA - Static variable in class org.hipparchus.util.JulierUnscentedTransform: Default value for kappa, (0.0, see reference).
DEFAULT_KAPPA - Static variable in class org.hipparchus.util.MerweUnscentedTransform: Default value for kappa, (0.0, see reference).
DEFAULT_LOW_EXP - Static variable in class org.hipparchus.util.RyuDouble: Default low switch level to scientific notation.
DEFAULT_MAX_ITER - Static variable in class org.hipparchus.ode.events.AbstractFieldODEDetector: Default maximum number of iterations in the event time search.
DEFAULT_MAX_ITER - Static variable in class org.hipparchus.ode.events.AbstractODEDetector: Default maximum number of iterations in the event time search.
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.BaseAbstractFieldUnivariateIntegrator: Default maximal iteration count.
DEFAULT_MAX_ITERATIONS_COUNT - Static variable in class org.hipparchus.analysis.integration.BaseAbstractUnivariateIntegrator: Default maximal iteration count.
DEFAULT_MAX_LINE_SEARCH_ITERATION - Static variable in class org.hipparchus.optim.nonlinear.vector.constrained.SQPOption: Default max iteration before reset hessian.
DEFAULT_MAX_RHO_ITERATION - Static variable in class org.hipparchus.optim.nonlinear.vector.constrained.ADMMQPOption: Default Max number of weight changes.
DEFAULT_MAXCHECK - Static variable in class org.hipparchus.ode.events.AbstractFieldODEDetector: Default maximum checking interval (s).
DEFAULT_MAXCHECK - Static variable in class org.hipparchus.ode.events.AbstractODEDetector: Default maximum checking interval (s).
DEFAULT_MIN_ITERATIONS_COUNT - Static variable in class org.hipparchus.analysis.integration.BaseAbstractFieldUnivariateIntegrator: Default minimal iteration count.
DEFAULT_MIN_ITERATIONS_COUNT - Static variable in class org.hipparchus.analysis.integration.BaseAbstractUnivariateIntegrator: Default minimal iteration count.
DEFAULT_MU - Static variable in class org.hipparchus.optim.nonlinear.vector.constrained.SQPOption: Default parameter for evaluation of Armijo condition for descend direction.
DEFAULT_NAN_STRATEGY - Static variable in class org.hipparchus.stat.ranking.NaturalRanking: default NaN strategy
DEFAULT_POLISHING - Static variable in class org.hipparchus.optim.nonlinear.vector.constrained.ADMMQPOption: Default Value for enabling polishing the solution.
DEFAULT_POLISHING_ITERATION - Static variable in class org.hipparchus.optim.nonlinear.vector.constrained.ADMMQPOption: Default Value for Iteration of polishing Algorithm.
DEFAULT_PREFIX - Static variable in class org.hipparchus.geometry.VectorFormat: The default prefix: "{".
DEFAULT_QP_MAX_LOOP - Static variable in class org.hipparchus.optim.nonlinear.vector.constrained.SQPOption: Default max iteration admitted for QP subproblem.
DEFAULT_RELATIVE_ACCURACY - Static variable in class org.hipparchus.analysis.integration.BaseAbstractFieldUnivariateIntegrator: Default relative accuracy.
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_RHO - Static variable in class org.hipparchus.optim.nonlinear.vector.constrained.SQPOption: Default weight for augmented QP subproblem.
DEFAULT_RHO_MAX - Static variable in class org.hipparchus.optim.nonlinear.vector.constrained.ADMMQPOption: Default Max Value for the Weight for ADMM iteration.
DEFAULT_RHO_MIN - Static variable in class org.hipparchus.optim.nonlinear.vector.constrained.ADMMQPOption: Default Min Value for the Weight for ADMM iteration.
DEFAULT_RHO_UPDATE - Static variable in class org.hipparchus.optim.nonlinear.vector.constrained.ADMMQPOption: Default Value for adapting the weight during iterations.
DEFAULT_ROBUSTNESS_ITERS - Static variable in class org.hipparchus.analysis.interpolation.LoessInterpolator: Default value of the number of robustness iterations.
DEFAULT_SCALING - Static variable in class org.hipparchus.optim.nonlinear.vector.constrained.ADMMQPOption: Default Value for Enabling Problem Scaling.
DEFAULT_SCALING_MAX_ITERATION - Static variable in class org.hipparchus.optim.nonlinear.vector.constrained.ADMMQPOption: Default Value for the Max Iteration for the scaling.
DEFAULT_SEPARATOR - Static variable in class org.hipparchus.geometry.VectorFormat: The default separator: ", ".
DEFAULT_SIGMA - Static variable in class org.hipparchus.optim.nonlinear.vector.constrained.ADMMQPOption: Default Value of regularization term sigma for Karush–Kuhn–Tucker solver.
DEFAULT_SIGMA_MAX - Static variable in class org.hipparchus.optim.nonlinear.vector.constrained.SQPOption: Default max value admitted for additional variable in QP subproblem.
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_THRESHOLD - Static variable in class org.hipparchus.ode.events.AbstractFieldODEDetector: Default convergence threshold (s).
DEFAULT_THRESHOLD - Static variable in class org.hipparchus.ode.events.AbstractODEDetector: Default convergence threshold (s).
DEFAULT_TIES_STRATEGY - Static variable in class org.hipparchus.stat.ranking.NaturalRanking: default ties strategy
DEFAULT_USE_FUNCTION_HESSIAN - Static variable in class org.hipparchus.optim.nonlinear.vector.constrained.SQPOption: Default flag for using BFGS update formula.
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: Empty constructor.
DefaultRealMatrixPreservingVisitor - Class in org.hipparchus.linear: Default implementation of the RealMatrixPreservingVisitor interface.
DefaultRealMatrixPreservingVisitor() - Constructor for class org.hipparchus.linear.DefaultRealMatrixPreservingVisitor: Empty constructor.
degree() - Method in class org.hipparchus.analysis.polynomials.FieldPolynomialFunction: Returns the degree of the polynomial.
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 - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: DEGREES_OF_FREEDOM.
DEGREES_OF_FREEDOM - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

DEGREES_OF_FREEDOM.
delegate() - Method in class org.hipparchus.random.RandomDataGenerator: Returns the backing delegate instance that methods are forwarded to.
DENOMINATOR - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: DENOMINATOR.
DENOMINATOR - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

DENOMINATOR.
DENOMINATOR_FORMAT - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: DENOMINATOR_FORMAT.
DENOMINATOR_FORMAT - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

DENOMINATOR_FORMAT.
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.
DependentVectorsHandler - Enum in org.hipparchus.linear: Enumerate to specify how dependent vectors should be handled in MatrixUtils.orthonormalize(List, double, DependentVectorsHandler) and MatrixUtils.orthonormalize(Field, List, CalculusFieldElement, DependentVectorsHandler).
DERIVATION_ORDER_NOT_ALLOWED - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: DERIVATION_ORDER_NOT_ALLOWED.
derivative(MultivariateDifferentiableFunction, int[]) - Static method in class org.hipparchus.analysis.FunctionUtils: Convert an MultivariateDifferentiableFunction to an MultivariateFunction computing n^th order derivative.
derivative(UnivariateDifferentiableFunction, int) - Static method in class org.hipparchus.analysis.FunctionUtils: Convert an UnivariateDifferentiableFunction to an UnivariateFunction computing n^th order derivative.
Derivative<T extends CalculusFieldElement<T>> - Interface in org.hipparchus.analysis.differentiation: Interface representing both the value and the differentials of a function.
Derivative1<T extends CalculusFieldElement<T>> - Interface in org.hipparchus.analysis.differentiation: Interface representing an object holding partial derivatives up to first order.
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.
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.
DetectorBasedEventState - Class in org.hipparchus.ode.events: This class handles the state for one event handler during integration steps.
DetectorBasedEventState(ODEEventDetector) - Constructor for class org.hipparchus.ode.events.DetectorBasedEventState: Simple constructor.
dev - Variable in class org.hipparchus.stat.descriptive.moment.SecondMoment: Deviation of most recently added value from previous first moment.
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.
difference(FieldSinCos<S>, FieldSinCos<S>) - Static method in class org.hipparchus.util.FieldSinCos: Compute sine and cosine of angles difference.
difference(FieldSinhCosh<S>, FieldSinhCosh<S>) - Static method in class org.hipparchus.util.FieldSinhCosh: Compute hyperbolic sine and hyperbolic cosine of angles difference.
difference(SinCos, SinCos) - Static method in class org.hipparchus.util.SinCos: Compute sine and cosine of angles difference.
difference(SinhCosh, SinhCosh) - Static method in class org.hipparchus.util.SinhCosh: Compute hyperbolic sine and hyperbolic cosine of angles difference.
DIFFERENT_ROWS_LENGTHS - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: DIFFERENT_ROWS_LENGTHS.
DIFFERENT_ROWS_LENGTHS - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

DIFFERENT_ROWS_LENGTHS.
DifferentialAlgebra - Interface in org.hipparchus.analysis.differentiation: Interface representing an object holding partial derivatives.
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(int, int) - Method in class org.hipparchus.analysis.differentiation.DerivativeStructure: Differentiate w.r.t.
differentiate(int, int) - Method in class org.hipparchus.analysis.differentiation.FieldDerivativeStructure: Differentiate w.r.t.
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.
differentiate(T[]) - Static method in class org.hipparchus.analysis.polynomials.FieldPolynomialFunction: Returns the coefficients of the derivative of the polynomial with the given coefficients.
digamma(double) - Static method in class org.hipparchus.special.Gamma: Computes the digamma function of x.
digamma(T) - Static method in class org.hipparchus.special.Gamma: Computes the digamma function of x.
DIGEST_NOT_INITIALIZED - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: DIGEST_NOT_INITIALIZED.
DIGEST_NOT_INITIALIZED - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

DIGEST_NOT_INITIALIZED.
dim() - Method in class org.hipparchus.optim.nonlinear.vector.constrained.LinearBoundedConstraint: Returns the dimensionality of the function domain.
dim() - Method in class org.hipparchus.optim.nonlinear.vector.constrained.LinearEqualityConstraint
dim() - Method in class org.hipparchus.optim.nonlinear.vector.constrained.LinearInequalityConstraint
dim() - Method in class org.hipparchus.optim.nonlinear.vector.constrained.QuadraticFunction: Returns the dimensionality of the function domain.
dim() - Method in class org.hipparchus.optim.nonlinear.vector.constrained.TwiceDifferentiableFunction: Returns the dimensionality of the function domain.
dim() - Method in interface org.hipparchus.optim.nonlinear.vector.constrained.VectorDifferentiableFunction: Returns the dimensionality of the function domain.
DIMENSION - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: DIMENSION.
DIMENSION - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

DIMENSION.
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 - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: DIMENSIONS_MISMATCH.
DIMENSIONS_MISMATCH - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

DIMENSIONS_MISMATCH.
DIMENSIONS_MISMATCH_2x2 - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: DIMENSIONS_MISMATCH_2x2.
DIMENSIONS_MISMATCH_2x2 - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

DIMENSIONS_MISMATCH_2x2.
DIMENSIONS_MISMATCH_SIMPLE - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

DIMENSIONS_MISMATCH_SIMPLE.
DIMENSIONS_MISMATCH_SIMPLE - Enum constant in enum org.hipparchus.migration.LocalizedMigrationFormats: Deprecated.

DIMENSIONS_MISMATCH_SIMPLE.
dimY() - Method in class org.hipparchus.optim.nonlinear.vector.constrained.BoundedConstraint: Returns the dimensionality of the function eval.
dimY() - Method in interface org.hipparchus.optim.nonlinear.vector.constrained.VectorDifferentiableFunction: Returns the dimensionality of the function eval.
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 - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: DISCRETE_CUMULATIVE_PROBABILITY_RETURNED_NAN.
DISCRETE_CUMULATIVE_PROBABILITY_RETURNED_NAN - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

DISCRETE_CUMULATIVE_PROBABILITY_RETURNED_NAN.
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: Empty constructor.
Display() - Constructor for class org.hipparchus.samples.ClusterAlgorithmComparison.Display: Simple consructor.
Display() - Constructor for class org.hipparchus.samples.clustering.ImageClusteringExample.Display: Simple constructor.
Display() - Constructor for class org.hipparchus.samples.geometry.GeometryExample.Display: Simple constructor.
Display() - Constructor for class org.hipparchus.samples.IntegerDistributionComparison.Display: Simple constructor.
Display() - Constructor for class org.hipparchus.samples.LowDiscrepancyGeneratorComparison.Display: Simple constructor.
Display() - Constructor for class org.hipparchus.samples.RealDistributionComparison.Display: Simple constructor.
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(FieldVector2D<T>) - Method in class org.hipparchus.geometry.euclidean.twod.FieldVector2D: Compute the distance between the instance and another vector according to the L₂ norm.
distance(FieldVector2D<T>, FieldVector2D<T>) - Static method in class org.hipparchus.geometry.euclidean.twod.FieldVector2D: Compute the distance between two vectors according to the L₂ norm.
distance(FieldVector2D<T>, Vector2D) - Static method in class org.hipparchus.geometry.euclidean.twod.FieldVector2D: Compute the distance between two vectors according to the L₂ norm.
distance(Vector2D) - Method in class org.hipparchus.geometry.euclidean.twod.FieldVector2D: Compute the distance between the instance and another vector 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, FieldVector2D<T>) - Static method in class org.hipparchus.geometry.euclidean.twod.FieldVector2D: Compute the distance between two vectors according to the L₂ norm.
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(FieldVector2D<T>) - Method in class org.hipparchus.geometry.euclidean.twod.FieldVector2D: Compute the distance between the instance and another vector according to the L₁ norm.
distance1(FieldVector2D<T>, FieldVector2D<T>) - Static method in class org.hipparchus.geometry.euclidean.twod.FieldVector2D: Compute the distance between two vectors according to the L₂ norm.
distance1(FieldVector2D<T>, Vector2D) - Static method in class org.hipparchus.geometry.euclidean.twod.FieldVector2D: Compute the distance between two vectors according to the L₂ norm.
distance1(Vector2D) - Method in class org.hipparchus.geometry.euclidean.twod.FieldVector2D: Compute the distance between the instance and another vector according to the L₁ norm.
distance1(Vector2D, FieldVector2D<T>) - Static method in class org.hipparchus.geometry.euclidean.twod.FieldVector2D: Compute the distance between two vectors according to the L₂ norm.
distance1(Vector2D, Vector2D) - Static method in class org.hipparchus.geometry.euclidean.twod.Vector2D: Compute the distance between two vectors according to the L₁ norm.
distance1(Vector<Euclidean1D, Vector1D>) - 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, Vector3D>) - 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, Vector2D>) - 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, V>) - 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(FieldVector2D<T>) - Method in class org.hipparchus.geometry.euclidean.twod.FieldVector2D: Compute the distance between the instance and another vector according to the L_∞ norm.
distanceInf(FieldVector2D<T>, FieldVector2D<T>) - Static method in class org.hipparchus.geometry.euclidean.twod.FieldVector2D: Compute the distance between two vectors according to the L_∞ norm.
distanceInf(FieldVector2D<T>, Vector2D) - Static method in class org.hipparchus.geometry.euclidean.twod.FieldVector2D: Compute the distance between two vectors according to the L_∞ norm.
distanceInf(Vector2D) - Method in class org.hipparchus.geometry.euclidean.twod.FieldVector2D: Compute the distance between the instance and another vector according to the L_∞ norm.
distanceInf(Vector2D, FieldVector2D<T>) - Static method in class org.hipparchus.geometry.euclidean.twod.FieldVector2D: 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, Vector1D>) - 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, Vector3D>) - 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, Vector2D>) - 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, V>) - 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(FieldVector2D<T>) - Method in class org.hipparchus.geometry.euclidean.twod.FieldVector2D: Compute the square of the distance between the instance and another vector.
distanceSq(FieldVector2D<T>, FieldVector2D<T>) - Static method in class org.hipparchus.geometry.euclidean.twod.FieldVector2D: Compute the square of the distance between two vectors.
distanceSq(FieldVector2D<T>, Vector2D) - Static method in class org.hipparchus.geometry.euclidean.twod.FieldVector2D: Compute the square of the distance between two vectors.
distanceSq(Vector2D) - Method in class org.hipparchus.geometry.euclidean.twod.FieldVector2D: Compute the square of the distance between the instance and another vector.
distanceSq(Vector2D, FieldVector2D<T>) - Static method in class org.hipparchus.geometry.euclidean.twod.FieldVector2D: 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, Vector1D>) - Method in class org.hipparchus.geometry.euclidean.oned.Vector1D: Compute the square of the distance between the instance and another vector.
distanceSq(Vector<Euclidean3D, Vector3D>) - Method in class org.hipparchus.geometry.euclidean.threed.Vector3D: Compute the square of the distance between the instance and another vector.
distanceSq(Vector<Euclidean2D, Vector2D>) - Method in class org.hipparchus.geometry.euclidean.twod.Vector2D: Compute the square of the distance between the instance and another vector.
distanceSq(Vector<S, V>) - Method in interface org.hipparchus.geometry.Vector: Compute the square of the distance between the instance and another vector.
DISTRIBUTION_NOT_LOADED - Enum constant in enum org.hipparchus.exception.LocalizedCoreFormats: DISTRIBUTION_NOT_LOADED.
DISTRIBUTION_NOT_LOADED - Enum constant in enum org.hipparchus.migration.exception.util.LocalizedFormats: Deprecated.

DISTRIBUTION_NOT_LOADED.
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.FieldGradient: '÷' operator.
divide(double) - Method in class org.hipparchus.analysis.differentiation.FieldUnivariateDerivative1: '÷' operator.
divide(double) - Method in class org.hipparchus.analysis.differentiation.FieldUnivariateDerivative2: '÷' operator.
divide(double) - Method in class org.hipparchus.analysis.differentiation.Gradient: '÷' operator.
divide(double) - Method in class org.hipparchus.analysis.differentiation.SparseGradient: '÷' operator.
divide(double) - Method in class org.hipparchus.analysis.differentiation.UnivariateDerivative1: '÷' operator.
divide(double) - Method in class org.hipparchus.analysis.differentiation.UnivariateDerivative2: '÷' operator.
divide(double) - Method in interface org.hipparchus.CalculusFieldElement: '÷' 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.complex.FieldComplex: Returns a Complex whose value is (this / divisor), with divisor interpreted as a real number.
divide(double) - Method in class org.hipparchus.util.Binary64: '÷' 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(FieldGradient<T>) - Method in class org.hipparchus.analysis.differentiation.FieldGradient: Compute this ÷ a.
divide(FieldUnivariateDerivative1<T>) - Method in class org.hipparchus.analysis.differentiation.FieldUnivariateDerivative1: Compute this ÷ a.
divide(FieldUnivariateDerivative2<T>) - Method in class org.hipparchus.analysis.differentiation.FieldUnivariateDerivative2: Compute this ÷ a.
divide(Gradient) - Method in class org.hipparchus.analysis.differentiation.Gradient: Compute this ÷ a.
divide(SparseGradient) - Method in class org.hipparchus.analysis.differentiation.SparseGradient: Compute this ÷ a.
divide(UnivariateDerivative1) - Method in class org.hipparchus.analysis.differentiation.UnivariateDerivative1: Compute this ÷ a.
divide(UnivariateDerivative2) - Method in class org.hipparchus.analysis.differentiation.UnivariateDerivative2: Compute this ÷ a.
divide(Complex) - Method in class org.hipparchus.complex.Complex: Returns a Complex whose value is (this / divisor).
divide(FieldComplex<T>) - Method in class org.hipparchus.complex.FieldComplex: 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(Binary64) - Method in class org.hipparchus.util.Binary64: 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 class org.hipparchus.analysis.differentiation.FieldGradient: '÷' operator.
divide(T) - Method in class org.hipparchus.analysis.differentiation.FieldUnivariateDerivative1: '÷' operator.
divide(T) - Method in class org.hipparchus.analysis.differentiation.FieldUnivariateDerivative2: '÷' operator.
divide(T) - Method in interface org.hipparchus.CalculusFieldElement: Compute this ÷ a.
divide(T) - Method in class org.hipparchus.complex.FieldComplex: Returns a Complex whose value is (this / divisor), with divisor interpreted as a real number.
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: Empty constructor.
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: Empty constructor.
divideExact(int, int) - Static method in class org.hipparchus.util.FastMath: Divide two integers, checking for overflow.
divideExact(long, long) - Static method in class org.hipparchus.util.FastMath: Divide two long integers, checking for overflow.
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.
dn() - Method in class org.hipparchus.special.elliptic.jacobi.CopolarN: Get the value of the dn function.
dn() - Method in class org.hipparchus.special.elliptic.jacobi.FieldCopolarN: Get the value of the dn function.
doEvent(FieldODEStateAndDerivative<T>) - Method in class org.hipparchus.ode.events.FieldDetectorBasedEventState: Notify the user's listener of the event.
doEvent(FieldODEStateAndDerivative<T>) - Method in interface org.hipparchus.ode.events.FieldEventState: Notify the user's listener of the event.
doEvent(FieldODEStateAndDerivative<T>) - Method in class org.hipparchus.ode.events.FieldStepEndEventState: Notify the user's listener of the event.
doEvent(ODEStateAndDerivative) - Method in class org.hipparchus.ode.events.DetectorBasedEventState: Notify the user's listener of the event.
doEvent(ODEStateAndDerivative) - Method in interface org.hipparchus.ode.events.EventState: Notify the user's listener of the event.
doEvent(ODEStateAndDerivative) - Method in class org.hipparchus.ode.events.StepEndEventState: Notify the user's listener of the event.
doGrowTable(int, AbstractOpenIntHashMap.ValueCopier) - Method in class org.hipparchus.util.AbstractOpenIntHashMap: Grow the tables.
doIntegrate() - Method in class org.hipparchus.analysis.integration.BaseAbstractFieldUnivariateIntegrator: Method for implementing actual integration algorithms in derived classes.
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.FieldMidPointIntegrator: Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.hipparchus.analysis.integration.FieldRombergIntegrator: Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.hipparchus.analysis.integration.FieldSimpsonIntegrator: Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.hipparchus.analysis.integration.FieldTrapezoidIntegrator: Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.hipparchus.analysis.integration.IterativeLegendreFieldGaussIntegrator: 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.
DomainColoring - Class in org.hipparchus.samples.complex: Base class for domain coloring.
DomainColoring(double) - Constructor for class org.hipparchus.samples.complex.DomainColoring: Simple constructor.
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.nonlinear.vector.constrained.ADMMQPOptimizer: Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.hipparchus.optim.nonlinear.vector.constrained.QPOptimizer
doOptimize() - Method in class org.hipparchus.optim.nonlinear.vector.constrained.SQPOptimizerGM: Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.hipparchus.optim.nonlinear.vector.constrained.SQPOptimizerS: 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.
doRemove(int) - Method in class org.hipparchus.util.AbstractOpenIntHashMap: Remove an element at specified index.
DormandPrince54FieldIntegrator<T extends CalculusFieldElement<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 CalculusFieldElement<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.
dotProdu