All Classes Interface Summary Class Summary Enum Summary Exception Summary
Class |
Description |
Abs |
Absolute value function.
|
AbstractConvergenceChecker<P> |
Base class for all convergence checker implementations.
|
AbstractCurveFitter |
Base class that contains common code for fitting parametric univariate
real functions y = f(pi;x) , where x is
the independent variable and the pi are the
parameters.
|
AbstractCurveFitter.TheoreticalValuesFunction |
Vector function for computing function theoretical values.
|
AbstractEvaluation |
|
AbstractFieldIntegrator<T extends RealFieldElement<T>> |
Base class managing common boilerplate for all integrators.
|
AbstractFieldMatrix<T extends FieldElement<T>> |
Basic implementation of FieldMatrix methods regardless of the underlying storage.
|
AbstractFieldODEStateInterpolator<T extends RealFieldElement<T>> |
This abstract class represents an interpolator over the last step
during an ODE integration.
|
AbstractIntegerDistribution |
Base class for integer-valued discrete distributions.
|
AbstractIntegrator |
Base class managing common boilerplate for all integrators.
|
AbstractKalmanFilter<T extends Measurement> |
Shared parts between linear and non-linear Kalman filters.
|
AbstractMultipleLinearRegression |
Abstract base class for implementations of MultipleLinearRegression.
|
AbstractMultivariateRealDistribution |
Base class for multivariate probability distributions.
|
AbstractODEStateInterpolator |
This abstract class represents an interpolator over the last step
during an ODE integration.
|
AbstractOptimizationProblem<P> |
Base class for implementing optimization problems.
|
AbstractParameterizable |
This abstract class provides boilerplate parameters list.
|
AbstractPolynomialSolver |
Base class for solvers.
|
AbstractRealDistribution |
Base class for probability distributions on the reals.
|
AbstractRealMatrix |
Basic implementation of RealMatrix methods regardless of the underlying storage.
|
AbstractRegion<S extends Space,T extends Space> |
Abstract class for all regions, independently of geometry type or dimension.
|
AbstractSimplex |
This class implements the simplex concept.
|
AbstractStorelessUnivariateStatistic |
|
AbstractSubHyperplane<S extends Space,T extends Space> |
This class implements the dimension-independent parts of SubHyperplane .
|
AbstractUnivariateDifferentiableSolver |
Provide a default implementation for several functions useful to generic
solvers.
|
AbstractUnivariateSolver |
Base class for solvers.
|
AbstractUnivariateStatistic |
|
AbstractWell |
This abstract class implements the WELL class of pseudo-random number generator
from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
|
AbstractWell.IndexTable |
Inner class used to store the indirection index table which is fixed
for a given type of WELL class of pseudo-random number generator.
|
Acos |
Arc-cosine function.
|
Acosh |
Hyperbolic arc-cosine function.
|
Action |
Enumerate for actions to be performed when an event occurs during ODE integration.
|
AdamsBashforthFieldIntegrator<T extends RealFieldElement<T>> |
This class implements explicit Adams-Bashforth integrators for Ordinary
Differential Equations.
|
AdamsBashforthIntegrator |
This class implements explicit Adams-Bashforth integrators for Ordinary
Differential Equations.
|
AdamsFieldIntegrator<T extends RealFieldElement<T>> |
|
AdamsIntegrator |
|
AdamsMoultonFieldIntegrator<T extends RealFieldElement<T>> |
This class implements implicit Adams-Moulton integrators for Ordinary
Differential Equations.
|
AdamsMoultonIntegrator |
This class implements implicit Adams-Moulton integrators for Ordinary
Differential Equations.
|
AdamsNordsieckFieldTransformer<T extends RealFieldElement<T>> |
Transformer to Nordsieck vectors for Adams integrators.
|
AdamsNordsieckTransformer |
Transformer to Nordsieck vectors for Adams integrators.
|
AdaptiveStepsizeFieldIntegrator<T extends RealFieldElement<T>> |
This abstract class holds the common part of all adaptive
stepsize integrators for Ordinary Differential Equations.
|
AdaptiveStepsizeIntegrator |
This abstract class holds the common part of all adaptive
stepsize integrators for Ordinary Differential Equations.
|
Add |
Add the two operands.
|
AggregatableStatistic<T> |
An interface for statistics that can aggregate results.
|
AkimaSplineInterpolator |
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.
|
AklToussaintHeuristic |
A simple heuristic to improve the performance of convex hull algorithms.
|
AllowedSolution |
|
AlternativeHypothesis |
Represents an alternative hypothesis for a hypothesis test.
|
AnyMatrix |
Interface defining very basic matrix operations.
|
Arc |
This class represents an arc on a circle.
|
ArcsSet |
This class represents a region of a circle: a set of arcs.
|
ArcsSet.InconsistentStateAt2PiWrapping |
Specialized exception for inconsistent BSP tree state inconsistency.
|
ArcsSet.Split |
Class holding the results of the split method.
|
ArithmeticUtils |
Some useful, arithmetics related, additions to the built-in functions in
Math .
|
Array2DRowFieldMatrix<T extends FieldElement<T>> |
Implementation of FieldMatrix using a FieldElement [][] array to store entries.
|
Array2DRowRealMatrix |
Implementation of RealMatrix using a double[][] array to
store entries.
|
ArrayFieldVector<T extends FieldElement<T>> |
|
ArrayRealVector |
This class implements the RealVector interface with a double array.
|
Asin |
Arc-sine function.
|
Asinh |
Hyperbolic arc-sine function.
|
Atan |
Arc-tangent function.
|
Atan2 |
Arc-tangent function.
|
Atanh |
Hyperbolic arc-tangent function.
|
BaseAbstractUnivariateIntegrator |
Provide a default implementation for several generic functions.
|
BaseAbstractUnivariateSolver<F extends UnivariateFunction> |
Provide a default implementation for several functions useful to generic
solvers.
|
BaseMultiStartMultivariateOptimizer<P> |
Base class multi-start optimizer for a multivariate function.
|
BaseMultivariateOptimizer<P> |
Base class for implementing optimizers for multivariate functions.
|
BaseOptimizer<P> |
Base class for implementing optimizers.
|
BaseRuleFactory<T extends Number> |
Base class for rules that determines the integration nodes and their
weights.
|
BaseSecantSolver |
Base class for all bracketing Secant-based methods for root-finding
(approximating a zero of a univariate real function).
|
BaseSecantSolver.Method |
Secant-based root-finding methods.
|
BaseUnivariateSolver<F extends UnivariateFunction> |
Interface for (univariate real) rootfinding algorithms.
|
BesselJ |
This class provides computation methods related to Bessel
functions of the first kind.
|
BesselJ.BesselJResult |
|
Beta |
This is a utility class that provides computation methods related to the
Beta family of functions.
|
BetaDistribution |
Implements the Beta distribution.
|
BicubicInterpolatingFunction |
|
BicubicInterpolator |
|
BigFraction |
Representation of a rational number without any overflow.
|
BigFractionField |
Representation of the fractional numbers without any overflow field.
|
BigFractionFormat |
Formats a BigFraction number in proper format or improper format.
|
BigReal |
Arbitrary precision decimal number.
|
BigRealField |
Representation of real numbers with arbitrary precision field.
|
BilinearInterpolatingFunction |
Interpolate grid data using bi-linear interpolation.
|
BilinearInterpolator |
Interpolate grid data using bi-linear interpolation.
|
BinomialDistribution |
Implementation of the binomial distribution.
|
BinomialProportion |
Utility methods to generate confidence intervals for a binomial proportion.
|
BinomialTest |
Implements binomial test statistics.
|
BisectionSolver |
|
BivariateFunction |
An interface representing a bivariate real function.
|
BivariateGridInterpolator |
Interface representing a bivariate real interpolating function where the
sample points must be specified on a regular grid.
|
BlockFieldMatrix<T extends FieldElement<T>> |
Cache-friendly implementation of FieldMatrix using a flat arrays to store
square blocks of the matrix.
|
BlockRealMatrix |
Cache-friendly implementation of RealMatrix using a flat arrays to store
square blocks of the matrix.
|
BOBYQAOptimizer |
Powell's BOBYQA algorithm.
|
BoundaryAttribute<S extends Space> |
Class holding boundary attributes.
|
BoundaryProjection<S extends Space> |
Class holding the result of point projection on region boundary.
|
BracketedRealFieldUnivariateSolver<T extends RealFieldElement<T>> |
|
BracketedRealFieldUnivariateSolver.Interval<T extends RealFieldElement<T>> |
An interval of a function that brackets a root.
|
BracketedUnivariateSolver<F extends UnivariateFunction> |
|
BracketedUnivariateSolver.Interval |
An interval of a function that brackets a root.
|
BracketFinder |
Provide an interval that brackets a local optimum of a function.
|
BracketingNthOrderBrentSolver |
|
BrentOptimizer |
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.
|
BrentSolver |
This class implements the
Brent algorithm for finding zeros of real univariate functions.
|
BSPTree<S extends Space> |
This class represent a Binary Space Partition tree.
|
BSPTree.LeafMerger<S extends Space> |
This interface gather the merging operations between a BSP tree
leaf and another BSP tree.
|
BSPTree.VanishingCutHandler<S extends Space> |
This interface handles the corner cases when an internal node cut sub-hyperplane vanishes.
|
BSPTreeVisitor<S extends Space> |
This interface is used to visit BSP tree nodes.
|
BSPTreeVisitor.Order |
Enumerate for visit order with respect to plus sub-tree, minus sub-tree and cut sub-hyperplane.
|
ButcherArrayProvider |
This interface represents an integrator based on Butcher arrays.
|
CanberraDistance |
Calculates the Canberra distance between two points.
|
CardanEulerSingularityException |
Deprecated.
|
CauchyDistribution |
Implementation of the Cauchy distribution.
|
Cbrt |
Cube root function.
|
Ceil |
ceil function.
|
CentroidCluster<T extends Clusterable> |
A Cluster used by centroid-based clustering algorithms.
|
ChebyshevDistance |
Calculates the L∞ (max of abs) distance between two points.
|
ChiSquaredDistribution |
Implementation of the chi-squared distribution.
|
ChiSquareTest |
Implements Chi-Square test statistics.
|
CholeskyDecomposer |
Matrix decomposer using Cholseky decomposition.
|
CholeskyDecomposition |
Calculates the Cholesky decomposition of a matrix.
|
Circle |
This class represents an oriented great circle on the 2-sphere.
|
ClassicalRungeKuttaFieldIntegrator<T extends RealFieldElement<T>> |
This class implements the classical fourth order Runge-Kutta
integrator for Ordinary Differential Equations (it is the most
often used Runge-Kutta method).
|
ClassicalRungeKuttaIntegrator |
This class implements the classical fourth order Runge-Kutta
integrator for Ordinary Differential Equations (it is the most
often used Runge-Kutta method).
|
Cluster<T extends Clusterable> |
|
Clusterable |
Interface for n-dimensional points that can be clustered together.
|
ClusterAlgorithmComparison |
Plots clustering results for various algorithms and datasets.
|
ClusterAlgorithmComparison.ClusterPlot |
|
ClusterAlgorithmComparison.Display |
|
Clusterer<T extends Clusterable> |
Base class for clustering algorithms.
|
ClusterEvaluator<T extends Clusterable> |
Base class for cluster evaluation methods.
|
CMAESOptimizer |
An implementation of the active Covariance Matrix Adaptation Evolution Strategy (CMA-ES)
for non-linear, non-convex, non-smooth, global function minimization.
|
CMAESOptimizer.PopulationSize |
Population size.
|
CMAESOptimizer.Sigma |
Input sigma values.
|
Combinations |
Utility to create combinations (n, k) of k elements
in a set of n elements.
|
CombinatoricsUtils |
Combinatorial utilities.
|
CombinatoricsUtils.FactorialLog |
Class for computing the natural logarithm of the factorial of n .
|
Complex |
Representation of a Complex number, i.e.
|
ComplexComparator |
Comparator for Complex Numbers.
|
ComplexEigenDecomposition |
Given a matrix A, it computes a complex eigen decomposition A = VDV^{T}.
|
ComplexField |
Representation of the complex numbers field.
|
ComplexFormat |
Formats a Complex number in cartesian format "Re(c) + Im(c)i".
|
ComplexODEConverter |
|
ComplexODEState |
Container for time, main and secondary state vectors.
|
ComplexODEStateAndDerivative |
Container for time, main and secondary state vectors as well as their derivatives.
|
ComplexOrdinaryDifferentialEquation |
This interface represents a first order differential equations set for complex state .
|
ComplexSecondaryODE |
This interface allows users to add secondary differential equations to a primary
set of differential equations.
|
ComplexUtils |
Static implementations of common Complex utilities functions.
|
CompositeFormat |
Base class for formatters of composite objects (complex numbers, vectors ...).
|
ConfidenceInterval |
Represents an interval estimate of a population parameter.
|
ConjugateGradient |
|
Constant |
Constant function.
|
ConstantRealDistribution |
Implementation of the constant real distribution.
|
ContinuedFraction |
Provides a generic means to evaluate continued fractions.
|
ContinuousOutputModel |
Deprecated.
|
ConvergenceChecker<P> |
This interface specifies how to check if an optimization algorithm has
converged.
|
ConvergenceException |
Deprecated.
|
ConvexHull<S extends Space,P extends Point<S>> |
This class represents a convex hull.
|
ConvexHull2D |
This class represents a convex hull in an two-dimensional euclidean space.
|
ConvexHullGenerator<S extends Space,P extends Point<S>> |
Interface for convex hull generators.
|
ConvexHullGenerator2D |
Interface for convex hull generators in the two-dimensional euclidean space.
|
CorrelatedRandomVectorGenerator |
|
Cos |
Cosine function.
|
Cosh |
Hyperbolic cosine function.
|
Covariance |
Computes covariances for pairs of arrays or columns of a matrix.
|
DBSCANClusterer<T extends Clusterable> |
DBSCAN (density-based spatial clustering of applications with noise) algorithm.
|
DctNormalization |
This enumeration defines the various types of normalizations that can be
applied to discrete cosine transforms (DCT).
|
Decimal64 |
This class wraps a double value in an object.
|
Decimal64Field |
The field of double precision floating-point numbers.
|
DecompositionSolver |
Interface handling decomposition algorithms that can solve A × X = B.
|
DefaultFieldMatrixChangingVisitor<T extends FieldElement<T>> |
|
DefaultFieldMatrixPreservingVisitor<T extends FieldElement<T>> |
|
DefaultIterativeLinearSolverEvent |
|
DefaultRealMatrixChangingVisitor |
|
DefaultRealMatrixPreservingVisitor |
|
DenseOutputModel |
This class stores all information provided by an ODE integrator
during the integration process and build a continuous model of the
solution from this.
|
DerivativeStructure |
Class representing both the value and the differentials of a function.
|
DescriptiveStatistics |
Maintains a dataset of values of a single variable and computes descriptive
statistics based on stored data.
|
Dfp |
Decimal floating point library for Java
|
DfpDec |
Subclass of Dfp which hides the radix-10000 artifacts of the superclass.
|
DfpField |
Field for Decimal floating point instances.
|
DfpField.RoundingMode |
Enumerate for rounding modes.
|
DfpMath |
Mathematical routines for use with Dfp .
|
DftNormalization |
This enumeration defines the various types of normalizations that can be
applied to discrete Fourier transforms (DFT).
|
DiagonalMatrix |
Implementation of a diagonal matrix.
|
DimensionMismatchException |
Deprecated.
|
DiskGenerator |
Class generating an enclosing ball from its support points.
|
DistanceMeasure |
Interface for distance measures of n-dimensional vectors.
|
Divide |
Divide the first operand by the second.
|
DividedDifferenceInterpolator |
|
DormandPrince54FieldIntegrator<T extends RealFieldElement<T>> |
This class implements the 5(4) Dormand-Prince integrator for Ordinary
Differential Equations.
|
DormandPrince54Integrator |
This class implements the 5(4) Dormand-Prince integrator for Ordinary
Differential Equations.
|
DormandPrince853FieldIntegrator<T extends RealFieldElement<T>> |
This class implements the 8(5,3) Dormand-Prince integrator for Ordinary
Differential Equations.
|
DormandPrince853Integrator |
This class implements the 8(5,3) Dormand-Prince integrator for Ordinary
Differential Equations.
|
DoublePoint |
A simple implementation of Clusterable for points with double coordinates.
|
DSCompiler |
Class holding "compiled" computation rules for derivative structures.
|
DSFactory |
|
DstNormalization |
This enumeration defines the various types of normalizations that can be
applied to discrete sine transforms (DST).
|
DummyLocalizable |
Dummy implementation of the Localizable interface, without localization.
|
DummyStepHandler |
Deprecated.
|
EarthMoversDistance |
Calculates the Earh Mover's distance (also known as Wasserstein metric) between two distributions.
|
Edge |
Spherical polygons boundary edge.
|
EigenDecomposition |
Calculates the eigen decomposition of a real matrix.
|
EmbeddedRungeKuttaFieldIntegrator<T extends RealFieldElement<T>> |
This class implements the common part of all embedded Runge-Kutta
integrators for Ordinary Differential Equations.
|
EmbeddedRungeKuttaIntegrator |
This class implements the common part of all embedded Runge-Kutta
integrators for Ordinary Differential Equations.
|
Embedding<S extends Space,T extends Space> |
This interface defines mappers between a space and one of its sub-spaces.
|
EmpiricalDistribution |
Represents an
empirical probability distribution -- a probability distribution derived
from observed data without making any assumptions about the functional form
of the population distribution that the data come from.
|
Encloser<S extends Space,P extends Point<S>> |
Interface for algorithms computing enclosing balls.
|
EnclosingBall<S extends Space,P extends Point<S>> |
This class represents a ball enclosing some points.
|
EnumeratedDistribution<T> |
|
EnumeratedIntegerDistribution |
|
EnumeratedRealDistribution |
|
EquationsMapper |
Class mapping the part of a complete state or derivative that pertains
to a specific differential equation.
|
Erf |
This is a utility class that provides computation methods related to the
error functions.
|
Euclidean1D |
This class implements a one-dimensional space.
|
Euclidean1D.NoSubSpaceException |
Specialized exception for inexistent sub-space.
|
Euclidean2D |
This class implements a two-dimensional space.
|
Euclidean3D |
This class implements a three-dimensional space.
|
EuclideanDistance |
Calculates the L2 (Euclidean) distance between two points.
|
EulerFieldIntegrator<T extends RealFieldElement<T>> |
This class implements a simple Euler integrator for Ordinary
Differential Equations.
|
EulerIntegrator |
This class implements a simple Euler integrator for Ordinary
Differential Equations.
|
EvaluationRmsChecker |
Check if an optimization has converged based on the change in computed RMS.
|
EventFilter |
Wrapper used to detect only increasing or decreasing events.
|
EventHandler |
Deprecated.
|
EventHandler.Action |
Deprecated.
|
EventState |
This class handles the state for one event handler during integration steps.
|
EventState.EventOccurrence |
Class to hold the data related to an event occurrence that is needed to decide how
to modify integration.
|
ExampleUtils |
|
ExampleUtils.ExampleFrame |
|
Exp |
Exponential function.
|
ExpandableODE |
This class represents a combined set of first order differential equations,
with at least a primary set of equations expandable by some sets of secondary
equations.
|
Expm1 |
ex-1 function.
|
ExponentialDistribution |
Implementation of the exponential distribution.
|
ExtendedKalmanFilter<T extends Measurement> |
|
FastCosineTransformer |
Implements the Fast Cosine Transform for transformation of one-dimensional
real data sets.
|
FastFourierTransformer |
Implements the Fast Fourier Transform for transformation of one-dimensional
real or complex data sets.
|
FastHadamardTransformer |
|
FastMath |
Faster, more accurate, portable alternative to Math and
StrictMath for large scale computation.
|
FastSineTransformer |
Implements the Fast Sine Transform for transformation of one-dimensional real
data sets.
|
FDistribution |
Implementation of the F-distribution.
|
FDSFactory<T extends RealFieldElement<T>> |
|
Field<T> |
Interface representing a field.
|
FieldBracketingNthOrderBrentSolver<T extends RealFieldElement<T>> |
|
FieldButcherArrayProvider<T extends RealFieldElement<T>> |
This interface represents an integrator based on Butcher arrays.
|
FieldDecompositionSolver<T extends FieldElement<T>> |
Interface handling decomposition algorithms that can solve A × X = B.
|
FieldDenseOutputModel<T extends RealFieldElement<T>> |
This class stores all information provided by an ODE integrator
during the integration process and build a continuous model of the
solution from this.
|
FieldDerivativeStructure<T extends RealFieldElement<T>> |
Class representing both the value and the differentials of a function.
|
FieldElement<T> |
Interface representing field elements.
|
FieldEquationsMapper<T extends RealFieldElement<T>> |
Class mapping the part of a complete state or derivative that pertains
to a set of differential equations.
|
FieldEventState<T extends RealFieldElement<T>> |
This class handles the state for one event handler during integration steps.
|
FieldEventState.EventOccurrence<T extends RealFieldElement<T>> |
Class to hold the data related to an event occurrence that is needed to decide how
to modify integration.
|
FieldExpandableODE<T extends RealFieldElement<T>> |
This class represents a combined set of first order differential equations,
with at least a primary set of equations expandable by some sets of secondary
equations.
|
FieldHermiteInterpolator<T extends FieldElement<T>> |
Polynomial interpolator using both sample values and sample derivatives.
|
FieldLine<T extends RealFieldElement<T>> |
The class represent lines in a three dimensional space.
|
FieldLUDecomposition<T extends FieldElement<T>> |
Calculates the LUP-decomposition of a square matrix.
|
FieldMatrix<T extends FieldElement<T>> |
Interface defining field-valued matrix with basic algebraic operations.
|
FieldMatrixChangingVisitor<T extends FieldElement<?>> |
Interface defining a visitor for matrix entries.
|
FieldMatrixPreservingVisitor<T extends FieldElement<?>> |
Interface defining a visitor for matrix entries.
|
FieldODEEventHandler<T extends RealFieldElement<T>> |
This interface represents a handler for discrete events triggered
during ODE integration.
|
FieldODEFixedStepHandler<T extends RealFieldElement<T>> |
This interface represents a handler that should be called after
each successful fixed step.
|
FieldODEIntegrator<T extends RealFieldElement<T>> |
This interface represents a first order integrator for
differential equations.
|
FieldODEState<T extends RealFieldElement<T>> |
Container for time, main and secondary state vectors.
|
FieldODEStateAndDerivative<T extends RealFieldElement<T>> |
Container for time, main and secondary state vectors as well as their derivatives.
|
FieldODEStateInterpolator<T extends RealFieldElement<T>> |
This interface represents an interpolator over the last step
during an ODE integration.
|
FieldODEStepHandler<T extends RealFieldElement<T>> |
This interface represents a handler that should be called after
each successful step.
|
FieldOrdinaryDifferentialEquation<T extends RealFieldElement<T>> |
This interface represents a first order differential equations set.
|
FieldQRDecomposition<T extends RealFieldElement<T>> |
Calculates the QR-decomposition of a field matrix.
|
FieldRotation<T extends RealFieldElement<T>> |
|
FieldSecondaryODE<T extends RealFieldElement<T>> |
This interface allows users to add secondary differential equations to a primary
set of differential equations.
|
FieldSinCos<T> |
Holder for both sin and cosine values.
|
FieldStepNormalizer<T extends RealFieldElement<T>> |
|
FieldTuple<T extends RealFieldElement<T>> |
This class allows to perform the same computation of all components of a Tuple at once.
|
FieldUnivariateFunction |
An interface representing a univariate real function for any field type.
|
FieldUnivariateMatrixFunction |
An interface representing a univariate matrix function for any field type.
|
FieldUnivariateVectorFunction |
An interface representing a univariate vectorial function for any field type.
|
FieldVector<T extends FieldElement<T>> |
Interface defining a field-valued vector with basic algebraic operations.
|
FieldVector3D<T extends RealFieldElement<T>> |
|
FieldVectorChangingVisitor<T extends FieldElement<?>> |
This interface defines a visitor for the entries of a vector.
|
FieldVectorPreservingVisitor<T extends FieldElement<?>> |
This interface defines a visitor for the entries of a vector.
|
FilterType |
|
FiniteDifferencesDifferentiator |
Univariate functions differentiator using finite differences.
|
FirstOrderConverter |
This class converts second order differential equations to first
order ones.
|
FirstOrderDifferentialEquations |
Deprecated.
|
FixedStepHandler |
Deprecated.
|
Floor |
floor function.
|
Fraction |
Representation of a rational number.
|
FractionField |
Representation of the fractional numbers field.
|
FractionFormat |
Formats a Fraction number in proper format or improper format.
|
Frequency<T extends Comparable<T>> |
Maintains a frequency distribution of Comparable values.
|
FunctionUtils |
Utilities for manipulating function objects.
|
FuzzyKMeansClusterer<T extends Clusterable> |
Fuzzy K-Means clustering algorithm.
|
Gamma |
This is a utility class that provides computation methods related to the
Γ (Gamma) family of functions.
|
GammaDistribution |
Implementation of the Gamma distribution.
|
Gaussian |
|
Gaussian.Parametric |
Parametric function where the input array contains the parameters of
the Gaussian, ordered as follows:
Norm
Mean
Standard deviation
|
GaussianCurveFitter |
|
GaussianCurveFitter.ParameterGuesser |
Guesses the parameters norm , mean , and sigma
of a Gaussian.Parametric
based on the specified observed points.
|
GaussianRandomGenerator |
This class is a gaussian normalized random generator for scalars.
|
GaussIntegrator |
Class that implements the Gaussian rule for
integrating a weighted
function.
|
GaussIntegratorFactory |
|
GaussNewtonOptimizer |
Gauss-Newton least-squares solver.
|
GaussNewtonOptimizer.Decomposition |
Deprecated.
|
GeometricDistribution |
Implementation of the geometric distribution.
|
GeometricMean |
|
GeometryExample |
Simple example illustrating some parts of the geometry package.
|
GeometryExample.Display |
|
GillFieldIntegrator<T extends RealFieldElement<T>> |
This class implements the Gill fourth order Runge-Kutta
integrator for Ordinary Differential Equations .
|
GillIntegrator |
This class implements the Gill fourth order Runge-Kutta
integrator for Ordinary Differential Equations .
|
GLSMultipleLinearRegression |
The GLS implementation of multiple linear regression.
|
GoalType |
Goal type for an optimization problem (minimization or maximization of
a scalar function.
|
GradientFunction |
Class representing the gradient of a multivariate function.
|
GradientMultivariateOptimizer |
Base class for implementing optimizers for multivariate scalar
differentiable functions.
|
GraggBulirschStoerIntegrator |
This class implements a Gragg-Bulirsch-Stoer integrator for
Ordinary Differential Equations.
|
GridAxis |
Helper for finding interpolation nodes along one axis of grid data.
|
GTest |
|
GumbelDistribution |
This class implements the Gumbel distribution.
|
HaltonSequenceGenerator |
Implementation of a Halton sequence.
|
HarmonicCurveFitter |
|
HarmonicCurveFitter.ParameterGuesser |
This class guesses harmonic coefficients from a sample.
|
HarmonicOscillator |
|
HarmonicOscillator.Parametric |
Parametric function where the input array contains the parameters of
the harmonic oscillator function, ordered as follows:
Amplitude
Angular frequency
Phase
|
HermiteInterpolator |
Polynomial interpolator using both sample values and sample derivatives.
|
HermiteRuleFactory |
|
HighamHall54FieldIntegrator<T extends RealFieldElement<T>> |
This class implements the 5(4) Higham and Hall integrator for
Ordinary Differential Equations.
|
HighamHall54Integrator |
This class implements the 5(4) Higham and Hall integrator for
Ordinary Differential Equations.
|
HypergeometricDistribution |
Implementation of the hypergeometric distribution.
|
Hyperplane<S extends Space> |
This interface represents an hyperplane of a space.
|
Identity |
Identity function.
|
IllConditionedOperatorException |
Deprecated.
|
IllinoisSolver |
Implements the Illinois method for root-finding (approximating
a zero of a univariate real function).
|
ImageClusteringExample |
This example shows how clustering can be applied to images.
|
ImageClusteringExample.Display |
|
Incrementor |
Utility that increments a counter until a maximum is reached, at
which point, the instance will by default throw a
MathIllegalStateException .
|
Incrementor.MaxCountExceededCallback |
Defines a method to be called at counter exhaustion.
|
InferenceTestUtils |
A collection of static methods to create inference test instances or to
perform inference tests.
|
InitialGuess |
Starting point (first guess) of the optimization procedure.
|
InsufficientDataException |
Deprecated.
|
IntegerDistribution |
Interface for discrete distributions.
|
IntegerDistributionComparison |
Displays pdf/cdf for integer distributions.
|
IntegerDistributionComparison.Display |
|
InterpolatingMicrosphere |
|
InterpolatingMicrosphere2D |
|
Interval |
This class represents a 1D interval.
|
IntervalsSet |
This class represents a 1D region: a set of intervals.
|
InvalidRepresentationException |
Deprecated.
|
Inverse |
Inverse function.
|
ISAACRandom |
A fast cryptographic pseudo-random number generator.
|
IterationEvent |
The root class from which all events occurring while running an
IterationManager should be derived.
|
IterationListener |
The listener interface for receiving events occurring in an iterative
algorithm.
|
IterationManager |
This abstract class provides a general framework for managing iterative
algorithms.
|
IterativeLegendreGaussIntegrator |
This algorithm divides the integration interval into equally-sized
sub-interval and on each of them performs a
Legendre-Gauss quadrature.
|
IterativeLinearSolver |
This abstract class defines an iterative solver for the linear system A
· x = b.
|
IterativeLinearSolverEvent |
|
JacobianFunction |
Class representing the Jacobian of a multivariate vector function.
|
JacobianMatrices |
Deprecated.
|
JacobianMatrices.MismatchedEquations |
Special exception for equations mismatch.
|
JacobiPreconditioner |
This class implements the standard Jacobi (diagonal) preconditioner.
|
JDKRandomGenerator |
|
KalmanFilter<T extends Measurement> |
Interface representing a Kalman filter.
|
KendallsCorrelation |
Implementation of Kendall's Tau-b rank correlation.
|
KMeansPlusPlusClusterer<T extends Clusterable> |
Clustering algorithm based on David Arthur and Sergei Vassilvitski k-means++ algorithm.
|
KMeansPlusPlusClusterer.EmptyClusterStrategy |
Strategies to use for replacing an empty cluster.
|
KolmogorovSmirnovTest |
|
KthSelector |
A Simple Kth selector implementation to pick up the
Kth ordered element from a work array containing the
input numbers.
|
Kurtosis |
Computes the Kurtosis of the available values.
|
LaguerreRuleFactory |
Factory that creates Gauss-type quadrature rule using Laguerre polynomials.
|
LaguerreSolver |
|
LaplaceDistribution |
This class implements the Laplace distribution.
|
LeastSquaresAdapter |
|
LeastSquaresBuilder |
|
LeastSquaresConverter |
|
LeastSquaresFactory |
|
LeastSquaresOptimizer |
An algorithm that can be applied to a non-linear least squares problem.
|
LeastSquaresOptimizer.Optimum |
The optimum found by the optimizer.
|
LeastSquaresProblem |
The data necessary to define a non-linear least squares problem.
|
LeastSquaresProblem.Evaluation |
|
LegendreHighPrecisionRuleFactory |
Factory that creates Gauss-type quadrature rule using Legendre polynomials.
|
LegendreRuleFactory |
Factory that creates Gauss-type quadrature rule using Legendre polynomials.
|
LevenbergMarquardtOptimizer |
This class solves a least-squares problem using the Levenberg-Marquardt
algorithm.
|
LevyDistribution |
|
LimitAngle |
This class represents a 1D oriented hyperplane on the circle.
|
Line |
The class represent lines in a three dimensional space.
|
Line |
This class represents an oriented line in the 2D plane.
|
LinearConstraint |
A linear constraint for a linear optimization problem.
|
LinearConstraintSet |
|
LinearEvolution |
|
LinearInterpolator |
Implements a linear function for interpolation of real univariate functions.
|
LinearKalmanFilter<T extends Measurement> |
|
LinearObjectiveFunction |
An objective function for a linear optimization problem.
|
LinearOptimizer |
Base class for implementing linear optimizers.
|
LinearProcess<T extends Measurement> |
|
LineSearch |
Class for finding the minimum of the objective function along a given
direction.
|
Localizable |
Interface for localizable strings.
|
LocalizedClusteringFormats |
Enumeration for localized messages formats used in exceptions messages.
|
LocalizedCoreFormats |
Enumeration for localized messages formats used in exceptions messages.
|
LocalizedException |
This interface specified methods implemented by localized exception classes.
|
LocalizedFFTFormats |
Enumeration for localized messages formats used in exceptions messages.
|
LocalizedFormats |
Deprecated.
|
LocalizedGeometryFormats |
Enumeration for localized messages formats used in exceptions messages.
|
LocalizedMigrationFormats |
Deprecated.
|
LocalizedODEFormats |
Enumeration for localized messages formats used in exceptions messages.
|
LocalizedOptimFormats |
Enumeration for localized messages formats used in exceptions messages.
|
LocalizedStatFormats |
Enumeration for localized messages formats used in exceptions messages.
|
LoessInterpolator |
|
Log |
Natural logarithm function.
|
Log10 |
Base 10 logarithm function.
|
Log1p |
log(1 + p) function.
|
Logistic |
|
Logistic.Parametric |
Parametric function where the input array contains the parameters of
the logistic function , ordered as follows:
k
m
b
q
a
n
|
LogisticDistribution |
This class implements the Logistic distribution.
|
Logit |
|
Logit.Parametric |
Parametric function where the input array contains the parameters of
the logit function, ordered as follows:
Lower bound
Higher bound
|
LogNormalDistribution |
Implementation of the log-normal (gaussian) distribution.
|
LongFrequency |
Maintains a frequency distribution of Long values.
|
LowDiscrepancyGeneratorComparison |
Plots 2D samples drawn from various pseudo / quasi-random generators.
|
LowDiscrepancyGeneratorComparison.Display |
|
LowDiscrepancyGeneratorComparison.Plot |
|
LUDecomposer |
Matrix decomposer using LU-decomposition.
|
LUDecomposition |
Calculates the LUP-decomposition of a square matrix.
|
LutherFieldIntegrator<T extends RealFieldElement<T>> |
This class implements the Luther sixth order Runge-Kutta
integrator for Ordinary Differential Equations.
|
LutherIntegrator |
This class implements the Luther sixth order Runge-Kutta
integrator for Ordinary Differential Equations.
|
MainStateJacobianProvider |
Deprecated.
|
ManhattanDistance |
Calculates the L1 (sum of abs) distance between two points.
|
MannWhitneyUTest |
An implementation of the Mann-Whitney U test.
|
MathArithmeticException |
Deprecated.
|
MathArrays |
Arrays utilities.
|
MathArrays.Function |
Real-valued function that operates on an array or a part of it.
|
MathArrays.OrderDirection |
Specification of ordering direction.
|
MathArrays.Position |
Specification for indicating that some operation applies
before or after a given index.
|
MathIllegalArgumentException |
Base class for all preconditions violation exceptions.
|
MathIllegalNumberException |
Deprecated.
|
MathIllegalStateException |
Base class for all exceptions that signal that the process
throwing the exception is in a state that does not comply with
the set of states that it is designed to be in.
|
MathInternalError |
Deprecated.
|
MathParseException |
Deprecated.
|
MathRuntimeException |
All exceptions thrown by the Hipparchus code inherit from this class.
|
MathUnsupportedOperationException |
Deprecated.
|
MathUtils |
Miscellaneous utility functions.
|
MatrixDecomposer |
Interface for all algorithms providing matrix decomposition.
|
MatrixDimensionMismatchException |
Deprecated.
|
MatrixUtils |
A collection of static methods that operate on or return matrices.
|
Max |
Maximum function.
|
Max |
Returns the maximum of the available values.
|
MaxCountExceededException |
Deprecated.
|
MaxEval |
Maximum number of evaluations of the function to be optimized.
|
MaxIter |
Maximum number of iterations performed by an (iterative) algorithm.
|
Mean |
Computes the arithmetic mean of a set of values.
|
Measurement |
Interface defining a measurement on process.
|
Median |
Returns the median of the available values.
|
MersenneTwister |
This class implements a powerful pseudo-random number generator
developed by Makoto Matsumoto and Takuji Nishimura during
1996-1997.
|
MicrosphereProjectionInterpolator |
Interpolator that implements the algorithm described in
William Dudziak's
MS thesis.
|
MidpointFieldIntegrator<T extends RealFieldElement<T>> |
This class implements a second order Runge-Kutta integrator for
Ordinary Differential Equations.
|
MidpointIntegrator |
This class implements a second order Runge-Kutta integrator for
Ordinary Differential Equations.
|
MidPointIntegrator |
Implements the
Midpoint Rule for integration of real univariate functions.
|
MillerUpdatingRegression |
|
Min |
Minimum function.
|
Min |
Returns the minimum of the available values.
|
Minus |
Minus function.
|
MixtureMultivariateNormalDistribution |
Multivariate normal mixture distribution.
|
MixtureMultivariateRealDistribution<T extends MultivariateRealDistribution> |
|
ModelSpecificationException |
Deprecated.
|
MonotoneChain |
Implements Andrew's monotone chain method to generate the convex hull of a finite set of
points in the two-dimensional euclidean space.
|
MullerSolver |
This class implements the
Muller's Method for root finding of real univariate functions.
|
MullerSolver2 |
This class implements the
Muller's Method for root finding of real univariate functions.
|
MultidimensionalCounter |
Converter between unidimensional storage structure and multidimensional
conceptual structure.
|
MultiDimensionMismatchException |
Deprecated.
|
MultiDirectionalSimplex |
This class implements the multi-directional direct search method.
|
MultiKMeansPlusPlusClusterer<T extends Clusterable> |
A wrapper around a k-means++ clustering algorithm which performs multiple trials
and returns the best solution.
|
MultipleLinearRegression |
The multiple linear regression can be represented in matrix-notation.
|
Multiply |
Multiply the two operands.
|
MultiStartMultivariateOptimizer |
Multi-start optimizer.
|
MultiStartUnivariateOptimizer |
Special implementation of the UnivariateOptimizer interface
adding multi-start features to an existing optimizer.
|
MultistepFieldIntegrator<T extends RealFieldElement<T>> |
This class is the base class for multistep integrators for Ordinary
Differential Equations.
|
MultistepIntegrator |
This class is the base class for multistep integrators for Ordinary
Differential Equations.
|
MultivariateDifferentiableFunction |
|
MultivariateDifferentiableVectorFunction |
|
MultivariateFunction |
An interface representing a multivariate real function.
|
MultivariateFunctionMappingAdapter |
|
MultivariateFunctionPenaltyAdapter |
|
MultivariateInterpolator |
Interface representing a univariate real interpolating function.
|
MultivariateJacobianFunction |
A interface for functions that compute a vector of values and can compute their
derivatives (Jacobian).
|
MultivariateMatrixFunction |
An interface representing a multivariate matrix function.
|
MultivariateNormalDistribution |
Implementation of the multivariate normal (Gaussian) distribution.
|
MultivariateNormalMixtureExpectationMaximization |
Expectation-Maximization algorithm for fitting the parameters of
multivariate normal mixture model distributions.
|
MultivariateOptimizer |
Base class for a multivariate scalar function optimizer.
|
MultivariateRealDistribution |
Base interface for multivariate continuous distributions.
|
MultivariateSummaryStatistics |
Computes summary statistics for a stream of n-tuples added using the
addValue method.
|
MultivariateVectorFunction |
An interface representing a multivariate vectorial function.
|
NakagamiDistribution |
This class implements the Nakagami distribution.
|
NamedParameterJacobianProvider |
|
NaNStrategy |
Strategies for handling NaN values in rank transformations.
|
NaturalRanking |
Ranking based on the natural ordering on doubles.
|
NelderMeadSimplex |
This class implements the Nelder-Mead simplex algorithm.
|
NevilleInterpolator |
|
NewtonRaphsonSolver |
Implements
Newton's Method for finding zeros of real univariate differentiable
functions.
|
NoBracketingException |
Deprecated.
|
NoDataException |
Deprecated.
|
NodesSet<S extends Space> |
|
NoFeasibleSolutionException |
Deprecated.
|
NonLinearConjugateGradientOptimizer |
Non-linear conjugate gradient optimizer.
|
NonLinearConjugateGradientOptimizer.Formula |
Available choices of update formulas for the updating the parameter
that is used to compute the successive conjugate search directions.
|
NonLinearConjugateGradientOptimizer.IdentityPreconditioner |
Default identity preconditioner.
|
NonLinearEvolution |
|
NonLinearProcess<T extends Measurement> |
|
NonMonotonicSequenceException |
Deprecated.
|
NonNegativeConstraint |
A constraint for a linear optimization problem indicating whether all
variables must be restricted to non-negative values.
|
NonPositiveDefiniteMatrixException |
Deprecated.
|
NonPositiveDefiniteOperatorException |
Deprecated.
|
NonSelfAdjointOperatorException |
Deprecated.
|
NonSquareMatrixException |
Deprecated.
|
NonSquareOperatorException |
Deprecated.
|
NonSymmetricMatrixException |
Deprecated.
|
NormalDistribution |
Implementation of the normal (gaussian) distribution.
|
NormalizedRandomGenerator |
This interface represent a normalized random generator for
scalars.
|
NotANumberException |
Deprecated.
|
NotARotationMatrixException |
Deprecated.
|
NotFiniteNumberException |
Deprecated.
|
NotPositiveException |
Deprecated.
|
NotStrictlyPositiveException |
Deprecated.
|
NullArgumentException |
All conditions checks that fail due to a null argument must throw
this exception.
|
NumberIsTooLargeException |
Deprecated.
|
NumberIsTooSmallException |
Deprecated.
|
ObjectiveFunction |
Scalar function to be optimized.
|
ObjectiveFunctionGradient |
Gradient of the scalar function to be optimized.
|
ODEEventHandler |
This interface represents a handler for discrete events triggered
during ODE integration.
|
ODEFixedStepHandler |
This interface represents a handler that should be called after
each successful fixed step.
|
ODEIntegrator |
This interface represents a first order integrator for
differential equations.
|
ODEJacobiansProvider |
|
ODEState |
Container for time, main and secondary state vectors.
|
ODEStateAndDerivative |
Container for time, main and secondary state vectors as well as their derivatives.
|
ODEStateInterpolator |
This interface represents an interpolator over the last step
during an ODE integration.
|
ODEStepHandler |
This interface represents a handler that should be called after
each successful step.
|
OLSMultipleLinearRegression |
Implements ordinary least squares (OLS) to estimate the parameters of a
multiple linear regression model.
|
OneWayAnova |
Implements one-way ANOVA (analysis of variance) statistics.
|
OpenIntToDoubleHashMap |
Open addressed map from int to double.
|
OpenIntToFieldHashMap<T extends FieldElement<T>> |
Open addressed map from int to FieldElement.
|
OpenMapRealMatrix |
Sparse matrix implementation based on an open addressed map.
|
OpenMapRealVector |
|
OptimizationData |
Marker interface.
|
OptimizationProblem<P> |
Common settings for all optimization problems.
|
OrderedComplexEigenDecomposition |
Given a matrix A, it computes a complex eigen decomposition A = VDV^{T}.
|
OrderedEigenDecomposition |
Given a matrix A, it computes an eigen decomposition A = VDV^{T}.
|
OrdinaryDifferentialEquation |
This interface represents a first order differential equations set.
|
OrientedPoint |
This class represents a 1D oriented hyperplane.
|
OutlineExtractor |
|
OutOfRangeException |
Deprecated.
|
Pair<K,V> |
Generic pair.
|
ParameterConfiguration |
Simple container pairing a parameter name with a step in order to compute
the associated Jacobian matrix by finite difference.
|
Parameterizable |
This interface enables to process any parameterizable object.
|
ParameterJacobianProvider |
Deprecated.
|
ParametersController |
|
ParameterValidator |
Interface for validating a set of model parameters.
|
ParametricUnivariateFunction |
An interface representing a real function that depends on one independent
variable plus some extra parameters.
|
ParetoDistribution |
Implementation of the Pareto distribution.
|
PascalDistribution |
Implementation of the Pascal distribution.
|
PearsonsCorrelation |
Computes Pearson's product-moment correlation coefficients for pairs of arrays
or columns of a matrix.
|
PegasusSolver |
Implements the Pegasus method for root-finding (approximating
a zero of a univariate real function).
|
Percentile |
Provides percentile computation.
|
Percentile.EstimationType |
An enum for various estimation strategies of a percentile referred in
wikipedia on quantile
with the names of enum matching those of types mentioned in
wikipedia.
|
PiecewiseBicubicSplineInterpolatingFunction |
|
PiecewiseBicubicSplineInterpolator |
Generates a piecewise-bicubic interpolating function.
|
PivotingStrategy |
A strategy to pick a pivoting index of an array for doing partitioning.
|
PivotSelectionRule |
Pivot selection rule to the use for a Simplex solver.
|
Plane |
The class represent planes in a three dimensional space.
|
Point<S extends Space> |
This interface represents a generic geometrical point.
|
PointValuePair |
This class holds a point and the value of an objective function at
that point.
|
PointVectorValuePair |
This class holds a point and the vectorial value of an objective function at
that point.
|
PoissonDistribution |
Implementation of the Poisson distribution.
|
PolygonsSet |
This class represents a 2D region: a set of polygons.
|
PolyhedronsSet |
This class represents a 3D region: a set of polyhedrons.
|
PolyhedronsSet.BRep |
Container for Boundary REPresentation (B-Rep).
|
PolynomialCurveFitter |
|
PolynomialFunction |
Immutable representation of a real polynomial function with real coefficients.
|
PolynomialFunction.Parametric |
Dedicated parametric polynomial class.
|
PolynomialFunctionLagrangeForm |
Implements the representation of a real polynomial function in
Lagrange Form.
|
PolynomialFunctionNewtonForm |
Implements the representation of a real polynomial function in
Newton Form.
|
PolynomialSolver |
Interface for (polynomial) root-finding algorithms.
|
PolynomialSplineFunction |
Represents a polynomial spline function.
|
PolynomialsUtils |
A collection of static methods that operate on or return polynomials.
|
Pow |
Power function.
|
PowellOptimizer |
Powell's algorithm.
|
Power |
Power function.
|
Precision |
Utilities for comparing numbers.
|
PreconditionedIterativeLinearSolver |
This abstract class defines preconditioned iterative solvers.
|
Preconditioner |
This interface represents a preconditioner for differentiable scalar
objective function optimizers.
|
ProcessEstimate |
Holder for process state and covariance.
|
Product |
Returns the product of the available values.
|
ProperBigFractionFormat |
Formats a BigFraction number in proper format.
|
ProperFractionFormat |
Formats a Fraction number in proper format.
|
PSquarePercentile |
|
PSquarePercentile.PSquareMarkers |
An interface that encapsulates abstractions of the
P-square algorithm markers as is explained in the original works.
|
QRDecomposer |
Matrix decomposer using QR-decomposition.
|
QRDecomposition |
Calculates the QR-decomposition of a matrix.
|
Quaternion |
This class implements
quaternions (Hamilton's hypercomplex numbers).
|
RandomAdaptor |
|
RandomDataGenerator |
A class for generating random data.
|
RandomGenerator |
Interface for generators of random number sequences.
|
RandomPercentile |
|
RandomVectorGenerator |
This interface represents a random generator for whole vectors.
|
RankingAlgorithm |
Interface representing a rank transformation.
|
RealDistribution |
Base interface for continuous distributions.
|
RealDistributionComparison |
Displays pdf/cdf for real distributions.
|
RealDistributionComparison.Display |
|
RealFieldElement<T> |
|
RealFieldUnivariateFunction<T extends RealFieldElement<T>> |
An interface representing a univariate real function.
|
RealFieldUnivariateMatrixFunction<T extends RealFieldElement<T>> |
An interface representing a univariate matrix function.
|
RealFieldUnivariateVectorFunction<T extends RealFieldElement<T>> |
An interface representing a univariate vectorial function for any field type.
|
RealLinearOperator |
This class defines a linear operator operating on real (double )
vector spaces.
|
RealMatrix |
Interface defining a real-valued matrix with basic algebraic operations.
|
RealMatrixChangingVisitor |
Interface defining a visitor for matrix entries.
|
RealMatrixFormat |
Formats a nxm matrix in components list format
"{{a00,a01, ...,
a0m-1},{a10,
a11, ..., a1m-1},{...},{
an-10, an-11, ...,
an-1m-1}}".
|
RealMatrixPreservingVisitor |
Interface defining a visitor for matrix entries.
|
RealTransformer |
Interface for one-dimensional data sets transformations producing real results.
|
RealVector |
Class defining a real-valued vector with basic algebraic operations.
|
RealVectorChangingVisitor |
This interface defines a visitor for the entries of a vector.
|
RealVectorFormat |
Formats a vector in components list format "{v0; v1; ...; vk-1}".
|
RealVectorPreservingVisitor |
This interface defines a visitor for the entries of a vector.
|
RectangularCholeskyDecomposition |
Calculates the rectangular Cholesky decomposition of a matrix.
|
Region<S extends Space> |
This interface represents a region of a space as a partition.
|
Region.Location |
Enumerate for the location of a point with respect to the region.
|
RegionFactory<S extends Space> |
This class is a factory for Region .
|
RegressionResults |
Results of a Multiple Linear Regression model fit.
|
RegulaFalsiSolver |
Implements the Regula Falsi or False position method for
root-finding (approximating a zero of a univariate real function).
|
Relationship |
|
ResizableDoubleArray |
A variable length primitive double array implementation that automatically
handles expanding and contracting its internal storage array as elements
are added and removed.
|
ResizableDoubleArray.ExpansionMode |
Specification of expansion algorithm.
|
RiccatiEquationSolver |
An algebraic Riccati equation is a type of nonlinear equation that arises in
the context of infinite-horizon optimal control problems in continuous time
or discrete time.
|
RiccatiEquationSolverImpl |
This solver computes the solution using the following approach:
1.
|
RiddersSolver |
Implements the
Ridders' Method for root finding of real univariate functions.
|
Rint |
rint function.
|
RombergIntegrator |
|
RootsOfUnity |
A helper class for the computation and caching of the n -th roots
of unity.
|
Rotation |
This class implements rotations in a three-dimensional space.
|
RotationConvention |
This enumerates is used to differentiate the semantics of a rotation.
|
RotationOrder |
This class is a utility representing a rotation order specification
for Cardan or Euler angles specification.
|
RRQRDecomposition |
Calculates the rank-revealing QR-decomposition of a matrix, with column pivoting.
|
RungeKuttaFieldIntegrator<T extends RealFieldElement<T>> |
This class implements the common part of all fixed step Runge-Kutta
integrators for Ordinary Differential Equations.
|
RungeKuttaIntegrator |
This class implements the common part of all fixed step Runge-Kutta
integrators for Ordinary Differential Equations.
|
S1Point |
This class represents a point on the 1-sphere.
|
S2Point |
This class represents a point on the 2-sphere.
|
SearchInterval |
Search interval and (optional) start value.
|
SecantSolver |
Implements the Secant method for root-finding (approximating a
zero of a univariate real function).
|
SecondaryEquations |
Deprecated.
|
SecondaryODE |
This interface allows users to add secondary differential equations to a primary
set of differential equations.
|
SecondMoment |
Computes a statistic related to the Second Central Moment.
|
SecondOrderDifferentialEquations |
Deprecated.
|
SecondOrderODE |
This interface represents a second order differential equations set.
|
Segment |
Simple container for a two-points segment.
|
Segment |
Simple container for a two-points segment.
|
SemiVariance |
Computes the semivariance of a set of values with respect to a given cutoff value.
|
SemiVariance.Direction |
The direction of the semivariance - either upside or downside.
|
Side |
Enumerate representing the location of an element with respect to an
hyperplane of a space.
|
Sigmoid |
|
Sigmoid.Parametric |
Parametric function where the input array contains the parameters of
the sigmoid function , ordered
as follows:
Lower asymptote
Higher asymptote
|
Signum |
signum function.
|
SimpleBounds |
Simple optimization constraints: lower and upper bounds.
|
SimpleCurveFitter |
|
SimplePointChecker<P extends Pair<double[],? extends Object>> |
|
SimpleRegression |
Estimates an ordinary least squares regression model
with one independent variable.
|
SimpleUnivariateValueChecker |
Simple implementation of the
ConvergenceChecker interface
that uses only objective function values.
|
SimpleValueChecker |
Simple implementation of the ConvergenceChecker interface using
only objective function values.
|
SimpleVectorValueChecker |
Simple implementation of the ConvergenceChecker interface using
only objective function values.
|
SimplexOptimizer |
This class implements simplex-based direct search optimization.
|
SimplexSolver |
Solves a linear problem using the "Two-Phase Simplex" method.
|
SimpsonIntegrator |
Implements
Simpson's Rule for integration of real univariate functions.
|
Sin |
Sine function.
|
Sinc |
Sinc function,
defined by
|
SinCos |
Holder for both sin and cosine values.
|
SingularMatrixException |
Deprecated.
|
SingularOperatorException |
Deprecated.
|
SingularValueDecomposer |
Matrix decomposer using Singular Value Decomposition.
|
SingularValueDecomposition |
Calculates the compact Singular Value Decomposition of a matrix.
|
Sinh |
Hyperbolic sine function.
|
Skewness |
Computes the skewness of the available values.
|
SobolSequenceGenerator |
Implementation of a Sobol sequence.
|
SolutionCallback |
A callback object that can be provided to a linear optimizer to keep track
of the best solution found.
|
Space |
This interface represents a generic space, with affine and vectorial counterparts.
|
SparseFieldMatrix<T extends FieldElement<T>> |
Sparse matrix implementation based on an open addressed map.
|
SparseFieldVector<T extends FieldElement<T>> |
|
SparseGradient |
First derivative computation with large number of variables.
|
SparseRealMatrix |
Marker interface for RealMatrix implementations that require sparse backing storage
|
SparseRealVector |
Marker class for RealVectors that require sparse backing storage
|
SpearmansCorrelation |
Spearman's rank correlation.
|
Sphere1D |
This class implements a one-dimensional sphere (i.e.
|
Sphere1D.NoSubSpaceException |
Specialized exception for inexistent sub-space.
|
Sphere2D |
This class implements a two-dimensional sphere (i.e.
|
SphereGenerator |
Class generating an enclosing ball from its support points.
|
SphericalCoordinates |
|
SphericalPolygonsSet |
This class represents a region on the 2-sphere: a set of spherical polygons.
|
SplineInterpolator |
Computes a natural (also known as "free", "unclamped") cubic spline interpolation for the data set.
|
Sqrt |
Square-root function.
|
StableRandomGenerator |
This class provides a stable normalized random generator.
|
StandardDeviation |
Computes the sample standard deviation.
|
StatisticalMultivariateSummary |
Reporting interface for basic multivariate statistics.
|
StatisticalSummary |
Reporting interface for basic univariate statistics.
|
StatisticalSummaryValues |
Value object representing the results of a univariate
statistical summary.
|
StatUtils |
StatUtils provides static methods for computing statistics based on data
stored in double[] arrays.
|
StepFunction |
|
StepHandler |
Deprecated.
|
StepInterpolator |
Deprecated.
|
StepNormalizer |
|
StepNormalizerBounds |
|
StepNormalizerMode |
|
StorelessCovariance |
Covariance implementation that does not require input data to be
stored in memory.
|
StorelessMultivariateStatistic |
Base interface implemented by storeless multivariate statistics.
|
StorelessUnivariateStatistic |
|
StreamingStatistics |
Computes summary statistics for a stream of data values added using the
addValue method.
|
StreamingStatistics.StreamingStatisticsBuilder |
Builder for StreamingStatistics instances.
|
SubCircle |
This class represents a sub-hyperplane for Circle .
|
SubHyperplane<S extends Space> |
This interface represents the remaining parts of an hyperplane after
other parts have been chopped off.
|
SubHyperplane.SplitSubHyperplane<U extends Space> |
Class holding the results of the split method.
|
SubLimitAngle |
This class represents sub-hyperplane for LimitAngle .
|
SubLine |
This class represents a subset of a Line .
|
SubLine |
This class represents a sub-hyperplane for Line .
|
SubOrientedPoint |
|
SubPlane |
This class represents a sub-hyperplane for Plane .
|
Subtract |
Subtract the second operand from the first.
|
Sum |
Returns the sum of the available values.
|
SumOfClusterVariances<T extends Clusterable> |
Computes the sum of intra-cluster distance variances according to the formula:
\] score = \sum\limits_{i=1}^n \sigma_i^2 \]
where n is the number of clusters and \( \sigma_i^2 \) is the variance of
intra-cluster distances of cluster \( c_i \).
|
SumOfLogs |
Returns the sum of the natural logs for this collection of values.
|
SumOfSquares |
Returns the sum of the squares of the available values.
|
SupportBallGenerator<S extends Space,P extends Point<S>> |
Interface for generating balls based on support points.
|
SymmetricGaussIntegrator |
This class's implements integrate
method assuming that the integral is symmetric about 0.
|
SymmLQ |
|
SynchronizedRandomGenerator |
Any RandomGenerator implementation can be thread-safe if it
is used through an instance of this class.
|
Tan |
Tangent function.
|
Tanh |
Hyperbolic tangent function.
|
TDistribution |
Implementation of Student's t-distribution.
|
ThreeEighthesFieldIntegrator<T extends RealFieldElement<T>> |
This class implements the 3/8 fourth order Runge-Kutta
integrator for Ordinary Differential Equations.
|
ThreeEighthesIntegrator |
This class implements the 3/8 fourth order Runge-Kutta
integrator for Ordinary Differential Equations.
|
TiesStrategy |
Strategies for handling tied values in rank transformations.
|
TooManyEvaluationsException |
Deprecated.
|
TooManyIterationsException |
Deprecated.
|
Transform<S extends Space,T extends Space> |
This interface represents an inversible affine transform in a space.
|
TransformType |
This enumeration defines the type of transform which is to be computed.
|
TransformUtils |
Useful functions for the implementation of various transforms.
|
TrapezoidIntegrator |
Implements the
Trapezoid Rule for integration of real univariate functions.
|
TriangularDistribution |
Implementation of the triangular real distribution.
|
TricubicInterpolatingFunction |
|
TricubicInterpolator |
Generates a tricubic interpolating function.
|
TrivariateFunction |
An interface representing a trivariate real function.
|
TrivariateGridInterpolator |
Interface representing a trivariate real interpolating function where the
sample points must be specified on a regular grid.
|
TTest |
An implementation for Student's t-tests.
|
Tuple |
This class allows to perform the same computation of all components of a Tuple at once.
|
Ulp |
ulp function.
|
UnboundedSolutionException |
Deprecated.
|
UncorrelatedRandomVectorGenerator |
|
UniformIntegerDistribution |
Implementation of the uniform integer distribution.
|
UniformRandomGenerator |
This class implements a normalized uniform random generator.
|
UniformRealDistribution |
Implementation of the uniform real distribution.
|
UnitSphereRandomVectorGenerator |
Generate random vectors isotropically located on the surface of a sphere.
|
UnivariateDifferentiableFunction |
Interface for univariate functions derivatives.
|
UnivariateDifferentiableMatrixFunction |
|
UnivariateDifferentiableSolver |
Interface for (univariate real) rootfinding algorithms.
|
UnivariateDifferentiableVectorFunction |
|
UnivariateFunction |
An interface representing a univariate real function.
|
UnivariateFunctionDifferentiator |
Interface defining the function differentiation operation.
|
UnivariateIntegrator |
Interface for univariate real integration algorithms.
|
UnivariateInterpolator |
Interface representing a univariate real interpolating function.
|
UnivariateMatrixFunction |
An interface representing a univariate matrix function.
|
UnivariateMatrixFunctionDifferentiator |
Interface defining the function differentiation operation.
|
UnivariateObjectiveFunction |
Scalar function to be optimized.
|
UnivariateOptimizer |
Base class for a univariate scalar function optimizer.
|
UnivariatePeriodicInterpolator |
|
UnivariatePointValuePair |
This class holds a point and the value of an objective function at this
point.
|
UnivariateSolver |
Interface for (univariate real) root-finding algorithms.
|
UnivariateSolverUtils |
|
UnivariateStatistic |
Base interface implemented by all statistics.
|
UnivariateVectorFunction |
An interface representing a univariate vectorial function.
|
UnivariateVectorFunctionDifferentiator |
Interface defining the function differentiation operation.
|
UnknownParameterException |
Deprecated.
|
UpdatingMultipleLinearRegression |
An interface for regression models allowing for dynamic updating of the data.
|
UTF8Control |
Control class loading properties in UTF-8 encoding.
|
ValueAndJacobianFunction |
A interface for functions that compute a vector of values and can compute their
derivatives (Jacobian).
|
Variance |
Computes the variance of the available values.
|
VariationalEquation |
This class defines a set of secondary equations to
compute the global Jacobian matrices with respect to the initial state
vector and, if any, to some parameters of the primary ODE set.
|
VariationalEquation.MismatchedEquations |
Special exception for equations mismatch.
|
Vector<S extends Space> |
This interface represents a generic vector in a vectorial space or a point in an affine space.
|
Vector1D |
This class represents a 1D vector.
|
Vector1DFormat |
Formats a 1D vector in components list format "{x}".
|
Vector2D |
This class represents a 2D vector.
|
Vector2DFormat |
Formats a 2D vector in components list format "{x; y}".
|
Vector3D |
This class implements vectors in a three-dimensional space.
|
Vector3DFormat |
Formats a 3D vector in components list format "{x; y; z}".
|
VectorFormat<S extends Space> |
Formats a vector in components list format "{x; y; ...}".
|
VectorialCovariance |
Returns the covariance matrix of the available vectors.
|
VectorialStorelessStatistic |
|
Vertex |
Spherical polygons boundary vertex.
|
WeibullDistribution |
Implementation of the Weibull distribution.
|
WeightedEvaluation |
Weighted evaluation for statistics.
|
WeightedObservedPoint |
This class is a simple container for weighted observed point in
curve fitting .
|
WeightedObservedPoints |
Simple container for weighted observed points used
in curve fitting algorithms.
|
Well1024a |
This class implements the WELL1024a pseudo-random number generator
from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
|
Well19937a |
This class implements the WELL19937a pseudo-random number generator
from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
|
Well19937c |
This class implements the WELL19937c pseudo-random number generator
from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
|
Well44497a |
This class implements the WELL44497a pseudo-random number generator
from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
|
Well44497b |
This class implements the WELL44497b pseudo-random number generator
from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
|
Well512a |
This class implements the WELL512a pseudo-random number generator
from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
|
WelzlEncloser<S extends Space,P extends Point<S>> |
Class implementing Emo Welzl algorithm to find the smallest enclosing ball in linear time.
|
WilcoxonSignedRankTest |
An implementation of the Wilcoxon signed-rank test.
|
ZeroException |
Deprecated.
|
ZipfDistribution |
Implementation of the Zipf distribution.
|