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#Org.apache.commons.math3 Classes and Interfaces - 918 results found.
| Name | Description | Type | Package | Framework |
| Abs | Absolute value function. | Class | org.apache.commons.math3.analysis.function | Apache Commons |
| AbstractConvergenceChecker | Base class for all convergence checker implementations. | Class | org.apache.commons.math3.optim | Apache Commons |
| AbstractConvergenceChecker | Base class for all convergence checker implementations. | Class | org.apache.commons.math3.optimization | Apache Commons |
| AbstractCurveFitter | Base class that contains common code for fitting parametric univariate real functions y = f(pi;x), where x is | Class | org.apache.commons.math3.fitting | Apache Commons |
| AbstractCurveFitter .TheoreticalValuesFunction | Vector function for computing function theoretical values. | Class | org.apache.commons.math3.fitting.AbstractCurveFitter | Apache Commons |
| AbstractDifferentiableOptimizer | Base class for implementing optimizers for multivariate scalar differentiable functions. | Class | org.apache.commons.math3.optimization.general | Apache Commons |
| AbstractDifferentiableUnivariateSolver | Class | org.apache.commons.math3.analysis.solvers | Apache Commons | |
| AbstractEvaluation | An implementation of LeastSquaresProblem. | Class | org.apache.commons.math3.fitting.leastsquares | Apache Commons |
| AbstractFieldIntegrator | Base class managing common boilerplate for all integrators. | Class | org.apache.commons.math3.ode | Apache Commons |
| AbstractFieldMatrix | Basic implementation of FieldMatrix methods regardless of the underlying storage. | Class | org.apache.commons.math3.linear | Apache Commons |
| AbstractFieldStepInterpolator | This abstract class represents an interpolator over the last step during an ODE integration. | Class | org.apache.commons.math3.ode.sampling | Apache Commons |
| AbstractFormat | Common part shared by both FractionFormat and BigFractionFormat. | Class | org.apache.commons.math3.fraction | Apache Commons |
| AbstractIntegerDistribution | Base class for integer-valued discrete distributions. | Class | org.apache.commons.math3.distribution | Apache Commons |
| AbstractIntegrator | Base class managing common boilerplate for all integrators. | Class | org.apache.commons.math3.ode | Apache Commons |
| AbstractLeastSquaresOptimizer | Base class for implementing least-squares optimizers. | Class | org.apache.commons.math3.optim.nonlinear.vector.jacobian | Apache Commons |
| AbstractLeastSquaresOptimizer | Base class for implementing least squares optimizers. | Class | org.apache.commons.math3.optimization.general | Apache Commons |
| AbstractLinearOptimizer | Base class for implementing linear optimizers. | Class | org.apache.commons.math3.optimization.linear | Apache Commons |
| AbstractListChromosome | Chromosome represented by an immutable list of a fixed length. | Class | org.apache.commons.math3.genetics | Apache Commons |
| AbstractMultipleLinearRegression | Abstract base class for implementations of MultipleLinearRegression. | Class | org.apache.commons.math3.stat.regression | Apache Commons |
| AbstractMultivariateRealDistribution | Base class for multivariate probability distributions. | Class | org.apache.commons.math3.distribution | Apache Commons |
| AbstractOptimizationProblem | Base class for implementing optimization problems. | Class | org.apache.commons.math3.optim | Apache Commons |
| AbstractParameterizable | This abstract class provides boilerplate parameters list. | Class | org.apache.commons.math3.ode | Apache Commons |
| AbstractPolynomialSolver | Base class for solvers. | Class | org.apache.commons.math3.analysis.solvers | Apache Commons |
| AbstractRandomGenerator | Abstract class implementing the RandomGenerator interface. | Class | org.apache.commons.math3.random | Apache Commons |
| AbstractRealDistribution | Base class for probability distributions on the reals. | Class | org.apache.commons.math3.distribution | Apache Commons |
| AbstractRealMatrix | Basic implementation of RealMatrix methods regardless of the underlying storage. | Class | org.apache.commons.math3.linear | Apache Commons |
| AbstractRegion | Abstract class for all regions, independently of geometry type or dimension. | Class | org.apache.commons.math3.geometry.partitioning | Apache Commons |
| AbstractScalarDifferentiableOptimizer | Base class for implementing optimizers for multivariate scalar differentiable functions. | Class | org.apache.commons.math3.optimization.general | Apache Commons |
| AbstractSimplex | This class implements the simplex concept. | Class | org.apache.commons.math3.optim.nonlinear.scalar.noderiv | Apache Commons |
| AbstractSimplex | This class implements the simplex concept. | Class | org.apache.commons.math3.optimization.direct | Apache Commons |
| AbstractStepInterpolator | This abstract class represents an interpolator over the last step during an ODE integration. | Class | org.apache.commons.math3.ode.sampling | Apache Commons |
| AbstractStorelessUnivariateStatistic | Abstract implementation of the StorelessUnivariateStatistic interface. | Class | org.apache.commons.math3.stat.descriptive | Apache Commons |
| AbstractSubHyperplane | This class implements the dimension-independent parts of SubHyperplane. | Class | org.apache.commons.math3.geometry.partitioning | Apache Commons |
| AbstractUnivariateDifferentiableSolver | Class | org.apache.commons.math3.analysis.solvers | Apache Commons | |
| AbstractUnivariateSolver | Base class for solvers. | Class | org.apache.commons.math3.analysis.solvers | Apache Commons |
| AbstractUnivariateStatistic | Abstract base class for all implementations of the UnivariateStatistic interface. | Class | org.apache.commons.math3.stat.descriptive | Apache Commons |
| AbstractWell | Class | org.apache.commons.math3.random | Apache Commons | |
| Acos | Arc-cosine function. | Class | org.apache.commons.math3.analysis.function | Apache Commons |
| Acosh | Hyperbolic arc-cosine function. | Class | org.apache.commons.math3.analysis.function | Apache Commons |
| Action | Enumerate for actions to be performed when an event occurs during ODE integration. | Class | org.apache.commons.math3.ode.events | Apache Commons |
| AdamsBashforthFieldIntegrator | This class implements explicit Adams-Bashforth integrators for Ordinary Differential Equations. | Class | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| AdamsBashforthIntegrator | This class implements explicit Adams-Bashforth integrators for Ordinary Differential Equations. | Class | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| AdamsFieldIntegrator | Base class for Adams-Bashforth and Adams-Moulton integrators. | Class | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| AdamsIntegrator | Base class for Adams-Bashforth and Adams-Moulton integrators. | Class | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| AdamsMoultonFieldIntegrator | This class implements implicit Adams-Moulton integrators for Ordinary Differential Equations. | Class | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| AdamsMoultonIntegrator | This class implements implicit Adams-Moulton integrators for Ordinary Differential Equations. | Class | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| AdamsNordsieckFieldTransformer | Transformer to Nordsieck vectors for Adams integrators. | Class | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| AdamsNordsieckTransformer | Transformer to Nordsieck vectors for Adams integrators. | Class | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| AdaptiveStepsizeFieldIntegrator | This abstract class holds the common part of all adaptive stepsize integrators for Ordinary Differential Equations. | Class | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| AdaptiveStepsizeIntegrator | This abstract class holds the common part of all adaptive stepsize integrators for Ordinary Differential Equations. | Class | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| Add | Add the two operands. | Class | org.apache.commons.math3.analysis.function | Apache Commons |
| AggregateSummaryStatistics | An aggregator for SummaryStatistics from several data sets or data set partitions. | Class | org.apache.commons.math3.stat.descriptive | Apache Commons |
| AgrestiCoullInterval | Class | org.apache.commons.math3.stat.interval | Apache Commons | |
| AkimaSplineInterpolator | Computes a cubic spline interpolation for the data set using the Akima algorithm, as originally formulated by Hiroshi Akima in his 1970 paper | Class | org.apache.commons.math3.analysis.interpolation | Apache Commons |
| AklToussaintHeuristic | A simple heuristic to improve the performance of convex hull algorithms. | Class | org.apache.commons.math3.geometry.euclidean.twod.hull | Apache Commons |
| AllowedSolution | enum AllowedSolutionThe kinds of solutions that a (bracketed univariate real) root-finding algorithm may accept as solutions. | Class | org.apache.commons.math3.analysis.solvers | Apache Commons |
| AlternativeHypothesis | enum AlternativeHypothesisRepresents an alternative hypothesis for a hypothesis test. | Class | org.apache.commons.math3.stat.inference | Apache Commons |
| AnyMatrix | Interface defining very basic matrix operations. | Interface | org.apache.commons.math3.linear | Apache Commons |
| Arc | This class represents an arc on a circle. | Class | org.apache.commons.math3.geometry.spherical.oned | Apache Commons |
| ArcsSet | This class represents a region of a circle: a set of arcs. | Class | org.apache.commons.math3.geometry.spherical.oned | Apache Commons |
| ArcsSet .InconsistentStateAt2PiWrapping | Specialized exception for inconsistent BSP tree state inconsistency. | Class | org.apache.commons.math3.geometry.spherical.oned.ArcsSet | Apache Commons |
| ArcsSet .Split | Class | org.apache.commons.math3.geometry.spherical.oned.ArcsSet | Apache Commons | |
| ArgUtils | Utility class for transforming the list of arguments passed to constructors of exceptions. | Class | org.apache.commons.math3.exception.util | Apache Commons |
| ArithmeticUtils | Class | org.apache.commons.math3.util | Apache Commons | |
| Array2DRowFieldMatrix | As specified in the FieldMatrix interface, matrix element indexing is 0-based -- e. | Class | org.apache.commons.math3.linear | Apache Commons |
| Array2DRowRealMatrix | Class | org.apache.commons.math3.linear | Apache Commons | |
| ArrayFieldVector | This class implements the FieldVector interface with a FieldElement array. | Class | org.apache.commons.math3.linear | Apache Commons |
| ArrayRealVector | This class implements the RealVector interface with a double array. | Class | org.apache.commons.math3.linear | Apache Commons |
| Asin | Class | org.apache.commons.math3.analysis.function | Apache Commons | |
| Asinh | Hyperbolic arc-sine function. | Class | org.apache.commons.math3.analysis.function | Apache Commons |
| Atan | Arc-tangent function. | Class | org.apache.commons.math3.analysis.function | Apache Commons |
| Atan2 | Arc-tangent function. | Class | org.apache.commons.math3.analysis.function | Apache Commons |
| Atanh | Hyperbolic arc-tangent function. | Class | org.apache.commons.math3.analysis.function | Apache Commons |
| AVLTree | This class implements AVL trees. | Class | org.apache.commons.math3.geometry.partitioning.utilities | Apache Commons |
| BaseAbstractMultivariateOptimizer | Base class for implementing optimizers for multivariate scalar functions. | Class | org.apache.commons.math3.optimization.direct | Apache Commons |
| BaseAbstractMultivariateSimpleBoundsOptimizer | Base class for implementing optimizers for multivariate scalar functions, subject to simple bounds: The valid range of the parameters is an interval. | Class | org.apache.commons.math3.optimization.direct | Apache Commons |
| BaseAbstractMultivariateVectorOptimizer | Base class for implementing optimizers for multivariate scalar functions. | Class | org.apache.commons.math3.optimization.direct | Apache Commons |
| BaseAbstractUnivariateIntegrator | Provide a default implementation for several generic functions. | Class | org.apache.commons.math3.analysis.integration | Apache Commons |
| BaseAbstractUnivariateOptimizer | Class | org.apache.commons.math3.optimization.univariate | Apache Commons | |
| BaseAbstractUnivariateSolver | Provide a default implementation for several functions useful to generic The default values for relative and function tolerances are 1e-14 | Class | org.apache.commons.math3.analysis.solvers | Apache Commons |
| BaseMultiStartMultivariateOptimizer | Base class multi-start optimizer for a multivariate function. | Class | org.apache.commons.math3.optim | Apache Commons |
| BaseMultivariateMultiStartOptimizer | Base class for all implementations of a multi-start optimizer. | Class | org.apache.commons.math3.optimization | Apache Commons |
| BaseMultivariateOptimizer | Base class for implementing optimizers for multivariate functions. | Class | org.apache.commons.math3.optim | Apache Commons |
| BaseMultivariateOptimizer | This interface is mainly intended to enforce the internal coherence of Commons-FastMath. | Interface | org.apache.commons.math3.optimization | Apache Commons |
| BaseMultivariateSimpleBoundsOptimizer | This interface is mainly intended to enforce the internal coherence of Commons-FastMath. | Interface | org.apache.commons.math3.optimization | Apache Commons |
| BaseMultivariateVectorMultiStartOptimizer | Base class for all implementations of a multi-start optimizer. | Class | org.apache.commons.math3.optimization | Apache Commons |
| BaseMultivariateVectorOptimizer | This interface is mainly intended to enforce the internal coherence of Commons-Math. | Interface | org.apache.commons.math3.optimization | Apache Commons |
| BaseOptimizer | Base class for implementing optimizers. | Class | org.apache.commons.math3.optim | Apache Commons |
| BaseOptimizer | This interface is mainly intended to enforce the internal coherence of Commons-Math. | Interface | org.apache.commons.math3.optimization | Apache Commons |
| BaseRuleFactory | Base class for rules that determines the integration nodes and their Subclasses must implement the computeRule method. | Class | org.apache.commons.math3.analysis.integration.gauss | Apache Commons |
| BaseSecantSolver | Base class for all bracketing Secant-based methods for root-finding (approximating a zero of a univariate real function). | Class | org.apache.commons.math3.analysis.solvers | Apache Commons |
| BaseSecantSolver .Method | Secant-based root-finding methods. | Class | org.apache.commons.math3.analysis.solvers.BaseSecantSolver | Apache Commons |
| BaseUnivariateOptimizer | This interface is mainly intended to enforce the internal coherence of Commons-Math. | Interface | org.apache.commons.math3.optimization.univariate | Apache Commons |
| BaseUnivariateSolver | Interface for (univariate real) rootfinding algorithms. | Interface | org.apache.commons.math3.analysis.solvers | Apache Commons |
| BesselJ | This class provides computation methods related to Bessel functions of the first kind. | Class | org.apache.commons.math3.special | Apache Commons |
| BesselJ .BesselJResult | Encapsulates the results returned by BesselJ. | Class | org.apache.commons.math3.special.BesselJ | Apache Commons |
| Beta | This is a utility class that provides computation methods related to the Beta family of functions. | Class | org.apache.commons.math3.special | Apache Commons |
| BetaDistribution | Class | org.apache.commons.math3.distribution | Apache Commons | |
| BicubicInterpolatingFunction | Function that implements the bicubic spline interpolation. | Class | org.apache.commons.math3.analysis.interpolation | Apache Commons |
| BicubicInterpolator | Generates a bicubic interpolating Caveat: Because the interpolation scheme requires that derivatives be | Class | org.apache.commons.math3.analysis.interpolation | Apache Commons |
| BicubicSplineInterpolatingFunction | Function that implements the bicubic spline interpolation. | Class | org.apache.commons.math3.analysis.interpolation | Apache Commons |
| BicubicSplineInterpolator | Generates a bicubic interpolating function. | Class | org.apache.commons.math3.analysis.interpolation | Apache Commons |
| BigFraction | Representation of a rational number without any overflow. | Class | org.apache.commons.math3.fraction | Apache Commons |
| BigFractionField | Representation of the fractional numbers without any overflow field. | Class | org.apache.commons.math3.fraction | Apache Commons |
| BigFractionFormat | Formats a BigFraction number in proper format or improper format. | Class | org.apache.commons.math3.fraction | Apache Commons |
| BigReal | Arbitrary precision decimal number. | Class | org.apache.commons.math3.util | Apache Commons |
| BigRealField | Representation of real numbers with arbitrary precision field. | Class | org.apache.commons.math3.util | Apache Commons |
| BinaryChromosome | Chromosome represented by a vector of 0s and 1s. | Class | org.apache.commons.math3.genetics | Apache Commons |
| BinaryMutation | Mutation for BinaryChromosomes. | Class | org.apache.commons.math3.genetics | Apache Commons |
| BinomialConfidenceInterval | Interface to generate confidence intervals for a binomial proportion. | Interface | org.apache.commons.math3.stat.interval | Apache Commons |
| BinomialDistribution | See Also:Binomial distribution (Wikipedia), Binomial Distribution (MathWorld), | Class | org.apache.commons.math3.distribution | Apache Commons |
| BinomialTest | Exact test for the statistical significance of deviations from a theoretically expected distribution of observations into two categories. | Class | org.apache.commons.math3.stat.inference | Apache Commons |
| BisectionSolver | bisection algorithm for finding zeros of univariate real functions. | Class | org.apache.commons.math3.analysis.solvers | Apache Commons |
| BitsStreamGenerator | Base class for random number generators that generates bits streams. | Class | org.apache.commons.math3.random | Apache Commons |
| BivariateFunction | An interface representing a bivariate real function. | Interface | org.apache.commons.math3.analysis | Apache Commons |
| BivariateGridInterpolator | Interface representing a bivariate real interpolating function where the sample points must be specified on a regular grid. | Interface | org.apache.commons.math3.analysis.interpolation | Apache Commons |
| BlockFieldMatrix | Cache-friendly implementation of FieldMatrix using a flat arrays to store square blocks of the matrix. | Class | org.apache.commons.math3.linear | Apache Commons |
| BlockRealMatrix | Cache-friendly implementation of RealMatrix using a flat arrays to store square blocks of the matrix. | Class | org.apache.commons.math3.linear | Apache Commons |
| BOBYQAOptimizer | Powell's BOBYQA algorithm. | Class | org.apache.commons.math3.optim.nonlinear.scalar.noderiv | Apache Commons |
| BOBYQAOptimizer | Powell's BOBYQA algorithm. | Class | org.apache.commons.math3.optimization.direct | Apache Commons |
| BoundaryAttribute | Class holding boundary attributes. | Class | org.apache.commons.math3.geometry.partitioning | Apache Commons |
| BoundaryProjection | Class holding the result of point projection on region boundary. | Class | org.apache.commons.math3.geometry.partitioning | Apache Commons |
| BracketedRealFieldUnivariateSolver | Interface for (univariate real) root-finding algorithms that maintain a bracketed solution. | Interface | org.apache.commons.math3.analysis.solvers | Apache Commons |
| BracketedUnivariateSolver | Interface for (univariate real) root-finding algorithms that maintain a bracketed solution. | Interface | org.apache.commons.math3.analysis.solvers | Apache Commons |
| BracketFinder | Provide an interval that brackets a local optimum of a function. | Class | org.apache.commons.math3.optim.univariate | Apache Commons |
| BracketFinder | Provide an interval that brackets a local optimum of a function. | Class | org.apache.commons.math3.optimization.univariate | Apache Commons |
| BracketingNthOrderBrentSolver | This class implements a modification of the Brent algorithm. | Class | org.apache.commons.math3.analysis.solvers | Apache Commons |
| BracketingNthOrderBrentSolverDFP | This class implements a modification of the Brent algorithm. | Class | org.apache.commons.math3.dfp | Apache Commons |
| BrentOptimizer | For a function defined on some interval (lo, hi), this class finds an approximation x to the point at which the function | Class | org.apache.commons.math3.optim.univariate | Apache Commons |
| BrentOptimizer | For a function defined on some interval (lo, hi), this class finds an approximation x to the point at which the function | Class | org.apache.commons.math3.optimization.univariate | Apache Commons |
| BrentSolver | This class implements the Brent algorithm for finding zeros of real univariate functions. | Class | org.apache.commons.math3.analysis.solvers | Apache Commons |
| BSPTree | This class represent a Binary Space Partition tree. | Class | org.apache.commons.math3.geometry.partitioning | Apache Commons |
| BSPTree .LeafMerger | This interface gather the merging operations between a BSP tree leaf and another BSP tree. | Interface | org.apache.commons.math3.geometry.partitioning.BSPTree | Apache Commons |
| BSPTree .VanishingCutHandler | This interface handles the corner cases when an internal node cut sub-hyperplane vanishes. | Interface | org.apache.commons.math3.geometry.partitioning.BSPTree | Apache Commons |
| BSPTreeVisitor | This interface is used to visit BSP tree nodes. | Interface | org.apache.commons.math3.geometry.partitioning | Apache Commons |
| BSPTreeVisitor .Order | Indicator for visit order minus sub-tree, then plus sub-tree, and last cut sub-hyperplane. | Class | org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor | Apache Commons |
| CanberraDistance | Calculates the Canberra distance between two points. | Class | org.apache.commons.math3.ml.distance | Apache Commons |
| CardanEulerSingularityException | This class represents exceptions thrown while extractiong Cardan or Euler angles from a rotation. | Class | org.apache.commons.math3.geometry.euclidean.threed | Apache Commons |
| CauchyDistribution | Class | org.apache.commons.math3.distribution | Apache Commons | |
| Cbrt | Class | org.apache.commons.math3.analysis.function | Apache Commons | |
| Ceil | Class | org.apache.commons.math3.analysis.function | Apache Commons | |
| CentralPivotingStrategy | A mid point strategy based on the average of begin and end indices. | Class | org.apache.commons.math3.util | Apache Commons |
| CentroidCluster | A Cluster used by centroid-based clustering algorithms. | Class | org.apache.commons.math3.ml.clustering | Apache Commons |
| ChebyshevDistance | Class | org.apache.commons.math3.ml.distance | Apache Commons | |
| ChiSquaredDistribution | See Also:Chi-squared distribution (Wikipedia), Chi-squared Distribution (MathWorld), | Class | org.apache.commons.math3.distribution | Apache Commons |
| ChiSquareTest | This implementation handles both known and unknown distributions. | Class | org.apache.commons.math3.stat.inference | Apache Commons |
| CholeskyDecomposition | Calculates the Cholesky decomposition of a matrix. | Class | org.apache.commons.math3.linear | Apache Commons |
| Chromosome | Individual in a population. | Class | org.apache.commons.math3.genetics | Apache Commons |
| ChromosomePair | A pair of Chromosome objects. | Class | org.apache.commons.math3.genetics | Apache Commons |
| Circle | This class represents an oriented great circle on the 2-sphere. | Class | org.apache.commons.math3.geometry.spherical.twod | Apache Commons |
| ClassicalRungeKuttaFieldIntegrator | This class implements the classical fourth order Runge-Kutta integrator for Ordinary Differential Equations (it is the most | Class | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| ClassicalRungeKuttaIntegrator | This class implements the classical fourth order Runge-Kutta integrator for Ordinary Differential Equations (it is the most | Class | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| ClopperPearsonInterval | Class | org.apache.commons.math3.stat.interval | Apache Commons | |
| Cluster | Cluster holding a set of Clusterable points. | Class | org.apache.commons.math3.ml.clustering | Apache Commons |
| Cluster | Cluster holding a set of Clusterable points. | Class | org.apache.commons.math3.stat.clustering | Apache Commons |
| Clusterable | Interface for n-dimensional points that can be clustered together. | Interface | org.apache.commons.math3.ml.clustering | Apache Commons |
| Clusterable | Interface for points that can be clustered together. | Interface | org.apache.commons.math3.stat.clustering | Apache Commons |
| Clusterer | Base class for clustering algorithms. | Class | org.apache.commons.math3.ml.clustering | Apache Commons |
| ClusterEvaluator | Base class for cluster evaluation methods. | Class | org.apache.commons.math3.ml.clustering.evaluation | Apache Commons |
| CMAESOptimizer | An implementation of the active Covariance Matrix Adaptation Evolution Strategy (CMA-ES) for non-linear, non-convex, non-smooth, global function minimization. | Class | org.apache.commons.math3.optim.nonlinear.scalar.noderiv | Apache Commons |
| CMAESOptimizer | An implementation of the active Covariance Matrix Adaptation Evolution Strategy (CMA-ES) for non-linear, non-convex, non-smooth, global function minimization. | Class | org.apache.commons.math3.optimization.direct | Apache Commons |
| CMAESOptimizer .PopulationSize | The number of offspring is the primary strategy parameter. | Class | org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer | Apache Commons |
| CMAESOptimizer .PopulationSize | The number of offspring is the primary strategy parameter. | Class | org.apache.commons.math3.optimization.direct.CMAESOptimizer | Apache Commons |
| CMAESOptimizer .Sigma | They define the initial coordinate-wise standard deviations for sampling new search points around the initial guess. | Class | org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer | Apache Commons |
| CMAESOptimizer .Sigma | They define the initial coordinate-wise standard deviations for sampling new search points around the initial guess. | Class | org.apache.commons.math3.optimization.direct.CMAESOptimizer | Apache Commons |
| Combinations | Class | org.apache.commons.math3.util | Apache Commons | |
| CombinatoricsUtils | Combinatorial utilities. | Class | org.apache.commons.math3.util | Apache Commons |
| Complex | Representation of a Complex number, i. | Class | org.apache.commons.math3.complex | Apache Commons |
| ComplexField | Representation of the complex numbers field. | Class | org.apache.commons.math3.complex | Apache Commons |
| ComplexFormat | Formats a Complex number in cartesian format Re(c) + Im(c)i. | Class | org.apache.commons.math3.complex | Apache Commons |
| ComplexUtils | Static implementations of common Complex utilities functions. | Class | org.apache.commons.math3.complex | Apache Commons |
| CompositeFormat | Base class for formatters of composite objects (complex numbers, vectors . | Class | org.apache.commons.math3.util | Apache Commons |
| ConfidenceInterval | Represents an interval estimate of a population parameter. | Class | org.apache.commons.math3.stat.interval | Apache Commons |
| ConjugateGradient | This is an implementation of the conjugate gradient method for RealLinearOperator. | Class | org.apache.commons.math3.linear | Apache Commons |
| ConjugateGradientFormula | Class | org.apache.commons.math3.optimization.general | Apache Commons | |
| Constant | Class | org.apache.commons.math3.analysis.function | Apache Commons | |
| ConstantRealDistribution | Class | org.apache.commons.math3.distribution | Apache Commons | |
| ContinuedFraction | Provides a generic means to evaluate continued fractions. | Class | org.apache.commons.math3.util | Apache Commons |
| ContinuousOutputFieldModel | This class stores all information provided by an ODE integrator during the integration process and build a continuous model of the | Class | org.apache.commons.math3.ode | Apache Commons |
| ContinuousOutputModel | This class stores all information provided by an ODE integrator during the integration process and build a continuous model of the | Class | org.apache.commons.math3.ode | Apache Commons |
| ConvergenceChecker | This interface specifies how to check if an optimization algorithm has Deciding if convergence has been reached is a problem-dependent issue. | Interface | org.apache.commons.math3.optim | Apache Commons |
| ConvergenceChecker | This interface specifies how to check if an optimization algorithm has Deciding if convergence has been reached is a problem-dependent issue. | Interface | org.apache.commons.math3.optimization | Apache Commons |
| ConvergenceException | Error thrown when a numerical computation can not be performed because the numerical result failed to converge to a finite value. | Class | org.apache.commons.math3.exception | Apache Commons |
| ConvexHull | This class represents a convex hull. | Interface | org.apache.commons.math3.geometry.hull | Apache Commons |
| ConvexHull2D | This class represents a convex hull in an two-dimensional euclidean space. | Class | org.apache.commons.math3.geometry.euclidean.twod.hull | Apache Commons |
| ConvexHullGenerator | Interface for convex hull generators. | Interface | org.apache.commons.math3.geometry.hull | Apache Commons |
| ConvexHullGenerator2D | Interface for convex hull generators in the two-dimensional euclidean space. | Interface | org.apache.commons.math3.geometry.euclidean.twod.hull | Apache Commons |
| CorrelatedRandomVectorGenerator | A RandomVectorGenerator that generates vectors with with correlated components. | Class | org.apache.commons.math3.random | Apache Commons |
| Cos | Class | org.apache.commons.math3.analysis.function | Apache Commons | |
| Cosh | Hyperbolic cosine function. | Class | org.apache.commons.math3.analysis.function | Apache Commons |
| Covariance | Computes covariances for pairs of arrays or columns of a matrix. | Class | org.apache.commons.math3.stat.correlation | Apache Commons |
| CrossoverPolicy | Policy used to create a pair of new chromosomes by performing a crossover operation on a source pair of chromosomes. | Interface | org.apache.commons.math3.genetics | Apache Commons |
| CurveFitter | Fitter for parametric univariate real functions y = f(x). | Class | org.apache.commons.math3.fitting | Apache Commons |
| CurveFitter | Fitter for parametric univariate real functions y = f(x). | Class | org.apache.commons.math3.optimization.fitting | Apache Commons |
| CycleCrossover | Cycle Crossover [CX] builds offspring from ordered chromosomes by identifying cycles between two parent chromosomes. | Class | org.apache.commons.math3.genetics | Apache Commons |
| DBSCANClusterer | DBSCAN (density-based spatial clustering of applications with noise) algorithm. | Class | org.apache.commons.math3.ml.clustering | Apache Commons |
| DBSCANClusterer | DBSCAN (density-based spatial clustering of applications with noise) algorithm. | Class | org.apache.commons.math3.stat.clustering | Apache Commons |
| DctNormalization | enum DctNormalizationThis enumeration defines the various types of normalizations that can be | Class | org.apache.commons.math3.transform | Apache Commons |
| Decimal64 | This class wraps a double value in an object. | Class | org.apache.commons.math3.util | Apache Commons |
| Decimal64Field | The field of double precision floating-point numbers. | Class | org.apache.commons.math3.util | Apache Commons |
| DecompositionSolver | Interface | org.apache.commons.math3.linear | Apache Commons | |
| DefaultFieldMatrixChangingVisitor | Default implementation of the FieldMatrixChangingVisitor interface. | Class | org.apache.commons.math3.linear | Apache Commons |
| DefaultFieldMatrixPreservingVisitor | Default implementation of the FieldMatrixPreservingVisitor interface. | Class | org.apache.commons.math3.linear | Apache Commons |
| DefaultIterativeLinearSolverEvent | A default concrete implementation of the abstract class IterativeLinearSolverEvent. | Class | org.apache.commons.math3.linear | Apache Commons |
| DefaultMeasurementModel | Default implementation of a MeasurementModel for the use with a KalmanFilter. | Class | org.apache.commons.math3.filter | Apache Commons |
| DefaultProcessModel | Default implementation of a ProcessModel for the use with a KalmanFilter. | Class | org.apache.commons.math3.filter | Apache Commons |
| DefaultRealMatrixChangingVisitor | Default implementation of the RealMatrixChangingVisitor interface. | Class | org.apache.commons.math3.linear | Apache Commons |
| DefaultRealMatrixPreservingVisitor | Default implementation of the RealMatrixPreservingVisitor interface. | Class | org.apache.commons.math3.linear | Apache Commons |
| DefaultTransformer | A Default NumberTransformer for java. | Class | org.apache.commons.math3.util | Apache Commons |
| DerivativeStructure | Class representing both the value and the differentials of a function. | Class | org.apache.commons.math3.analysis.differentiation | Apache Commons |
| DescriptiveStatistics | Maintains a dataset of values of a single variable and computes descriptive statistics based on stored data. | Class | org.apache.commons.math3.stat.descriptive | Apache Commons |
| Dfp | Decimal floating point library for Java Another floating point class. | Class | org.apache.commons.math3.dfp | Apache Commons |
| DfpDec | Subclass of Dfp which hides the radix-10000 artifacts of the superclass. | Class | org.apache.commons.math3.dfp | Apache Commons |
| DfpField | Field for Decimal floating point instances. | Class | org.apache.commons.math3.dfp | Apache Commons |
| DfpField .RoundingMode | Rounds towards positive infinity. | Class | org.apache.commons.math3.dfp.DfpField | Apache Commons |
| DfpMath | Mathematical routines for use with Dfp. | Class | org.apache.commons.math3.dfp | Apache Commons |
| DftNormalization | enum DftNormalizationThis enumeration defines the various types of normalizations that can be | Class | org.apache.commons.math3.transform | Apache Commons |
| DiagonalMatrix | Class | org.apache.commons.math3.linear | Apache Commons | |
| DifferentiableMultivariateFunction | Extension of MultivariateFunction representing a differentiable multivariate real function. | Interface | org.apache.commons.math3.analysis | Apache Commons |
| DifferentiableMultivariateMultiStartOptimizer | Special implementation of the DifferentiableMultivariateOptimizer interface adding multi-start features to an existing optimizer. | Class | org.apache.commons.math3.optimization | Apache Commons |
| DifferentiableMultivariateOptimizer | This interface represents an optimization algorithm for scalar differentiable objective | Interface | org.apache.commons.math3.optimization | Apache Commons |
| DifferentiableMultivariateVectorFunction | Extension of MultivariateVectorFunction representing a differentiable multivariate vectorial function. | Interface | org.apache.commons.math3.analysis | Apache Commons |
| DifferentiableMultivariateVectorMultiStartOptimizer | Special implementation of the DifferentiableMultivariateVectorOptimizer interface addind multi-start features to an existing optimizer. | Class | org.apache.commons.math3.optimization | Apache Commons |
| DifferentiableMultivariateVectorOptimizer | This interface represents an optimization algorithm for vectorial differentiable | Interface | org.apache.commons.math3.optimization | Apache Commons |
| DifferentiableUnivariateFunction | Extension of UnivariateFunction representing a differentiable univariate real function. | Interface | org.apache.commons.math3.analysis | Apache Commons |
| DifferentiableUnivariateMatrixFunction | Extension of UnivariateMatrixFunction representing a differentiable univariate matrix function. | Interface | org.apache.commons.math3.analysis | Apache Commons |
| DifferentiableUnivariateSolver | Interface for (univariate real) rootfinding algorithms. | Interface | org.apache.commons.math3.analysis.solvers | Apache Commons |
| DifferentiableUnivariateVectorFunction | Extension of UnivariateVectorFunction representing a differentiable univariate vectorial function. | Interface | org.apache.commons.math3.analysis | Apache Commons |
| DimensionMismatchException | Exception to be thrown when two dimensions differ. | Class | org.apache.commons.math3.exception | Apache Commons |
| DiskGenerator | Class generating an enclosing ball from its support points. | Class | org.apache.commons.math3.geometry.euclidean.twod | Apache Commons |
| DistanceMeasure | Interface for distance measures of n-dimensional vectors. | Interface | org.apache.commons.math3.ml.distance | Apache Commons |
| Divide | Divide the first operand by the second. | Class | org.apache.commons.math3.analysis.function | Apache Commons |
| DividedDifferenceInterpolator | Divided Difference Algorithm for interpolation of real univariate functions. | Class | org.apache.commons.math3.analysis.interpolation | Apache Commons |
| DormandPrince54FieldIntegrator | This class implements the 5(4) Dormand-Prince integrator for Ordinary Differential Equations. | Class | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| DormandPrince54Integrator | This class implements the 5(4) Dormand-Prince integrator for Ordinary Differential Equations. | Class | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| DormandPrince853FieldIntegrator | This class implements the 8(5,3) Dormand-Prince integrator for Ordinary Differential Equations. | Class | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| DormandPrince853Integrator | This class implements the 8(5,3) Dormand-Prince integrator for Ordinary Differential Equations. | Class | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| DoubleArray | Provides a standard interface for double arrays. | Interface | org.apache.commons.math3.util | Apache Commons |
| DoublePoint | A simple implementation of Clusterable for points with double coordinates. | Class | org.apache.commons.math3.ml.clustering | Apache Commons |
| DSCompiler | Class holding compiled computation rules for derivative structures. | Class | org.apache.commons.math3.analysis.differentiation | Apache Commons |
| DstNormalization | enum DstNormalizationThis enumeration defines the various types of normalizations that can be | Class | org.apache.commons.math3.transform | Apache Commons |
| DummyLocalizable | Dummy implementation of the Localizable interface, without localization. | Class | org.apache.commons.math3.exception.util | Apache Commons |
| DummyStepHandler | This class is a step handler that does nothing. | Class | org.apache.commons.math3.ode.sampling | Apache Commons |
| EarthMoversDistance | Calculates the Earh Mover's distance (also known as Wasserstein metric) between two distributions. | Class | org.apache.commons.math3.ml.distance | Apache Commons |
| Edge | Spherical polygons boundary edge. | Class | org.apache.commons.math3.geometry.spherical.twod | Apache Commons |
| EigenDecomposition | Calculates the eigen decomposition of a real matrix. | Class | org.apache.commons.math3.linear | Apache Commons |
| ElitisticListPopulation | Population of chromosomes which uses elitism (certain percentage of the best chromosomes is directly copied to the next generation). | Class | org.apache.commons.math3.genetics | Apache Commons |
| EmbeddedRungeKuttaFieldIntegrator | This class implements the common part of all embedded Runge-Kutta integrators for Ordinary Differential Equations. | Class | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| EmbeddedRungeKuttaIntegrator | This class implements the common part of all embedded Runge-Kutta integrators for Ordinary Differential Equations. | Class | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| Embedding | This interface defines mappers between a space and one of its sub-spaces. | Interface | org.apache.commons.math3.geometry.partitioning | Apache Commons |
| EmpiricalDistribution | empirical probability distribution -- a probability distribution derived from observed data without making any assumptions about the functional form | Class | org.apache.commons.math3.random | Apache Commons |
| Encloser | Interface for algorithms computing enclosing balls. | Interface | org.apache.commons.math3.geometry.enclosing | Apache Commons |
| EnclosingBall | This class represents a ball enclosing some points. | Class | org.apache.commons.math3.geometry.enclosing | Apache Commons |
| EnumeratedDistribution | A generic implementation of a discrete probability distribution (Wikipedia) over a finite sample space, | Class | org.apache.commons.math3.distribution | Apache Commons |
| EnumeratedIntegerDistribution | Values with zero-probability are allowed but they do not extend the Duplicate values are allowed. | Class | org.apache.commons.math3.distribution | Apache Commons |
| EnumeratedRealDistribution | Values with zero-probability are allowed but they do not extend the Duplicate values are allowed. | Class | org.apache.commons.math3.distribution | Apache Commons |
| EquationsMapper | Class mapping the part of a complete state or derivative that pertains to a specific differential equation. | Class | org.apache.commons.math3.ode | Apache Commons |
| Erf | Class | org.apache.commons.math3.special | Apache Commons | |
| Euclidean1D | This class implements a one-dimensional space. | Class | org.apache.commons.math3.geometry.euclidean.oned | Apache Commons |
| Euclidean1D .NoSubSpaceException | Specialized exception for inexistent sub-space. | Class | org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D | Apache Commons |
| Euclidean2D | This class implements a two-dimensional space. | Class | org.apache.commons.math3.geometry.euclidean.twod | Apache Commons |
| Euclidean3D | This class implements a three-dimensional space. | Class | org.apache.commons.math3.geometry.euclidean.threed | Apache Commons |
| EuclideanDistance | Calculates the L2 (Euclidean) distance between two points. | Class | org.apache.commons.math3.ml.distance | Apache Commons |
| EuclideanDoublePoint | A simple implementation of Clusterable for points with double coordinates. | Class | org.apache.commons.math3.stat.clustering | Apache Commons |
| EuclideanIntegerPoint | A simple implementation of Clusterable for points with integer coordinates. | Class | org.apache.commons.math3.stat.clustering | Apache Commons |
| EulerFieldIntegrator | This class implements a simple Euler integrator for Ordinary Differential Equations. | Class | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| EulerIntegrator | This class implements a simple Euler integrator for Ordinary Differential Equations. | Class | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| EvaluationRmsChecker | Check if an optimization has converged based on the change in computed RMS. | Class | org.apache.commons.math3.fitting.leastsquares | Apache Commons |
| EventFilter | Wrapper used to detect only increasing or decreasing events. | Class | org.apache.commons.math3.ode.events | Apache Commons |
| EventHandler | This interface represents a handler for discrete events triggered during ODE integration. | Interface | org.apache.commons.math3.ode.events | Apache Commons |
| EventHandler .Action | Reset derivatives indicator. | Class | org.apache.commons.math3.ode.events.EventHandler | Apache Commons |
| EventState | This class handles the state for one event handler during integration steps. | Class | org.apache.commons.math3.ode.events | Apache Commons |
| ExceptionContext | Class that contains the actual implementation of the functionality mandated by the ExceptionContext interface. | Class | org.apache.commons.math3.exception.util | Apache Commons |
| ExceptionContextProvider | Interface | org.apache.commons.math3.exception.util | Apache Commons | |
| Exp | Exponential function. | Class | org.apache.commons.math3.analysis.function | Apache Commons |
| ExpandableStatefulODE | 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 | Class | org.apache.commons.math3.ode | Apache Commons |
| Expm1 | Class | org.apache.commons.math3.analysis.function | Apache Commons | |
| ExponentialDecayFunction | Exponential decay function: a e-x / b, where x is the (integer) independent variable. | Class | org.apache.commons.math3.ml.neuralnet.sofm.util | Apache Commons |
| ExponentialDistribution | See Also:Exponential distribution (Wikipedia), Exponential distribution (MathWorld), | Class | org.apache.commons.math3.distribution | Apache Commons |
| FastCosineTransformer | real data sets. | Class | org.apache.commons.math3.transform | Apache Commons |
| FastFourierTransformer | real or complex data sets. | Class | org.apache.commons.math3.transform | Apache Commons |
| FastHadamardTransformer | Transformation of an input vector x to the output vector y. | Class | org.apache.commons.math3.transform | Apache Commons |
| FastMath | Faster, more accurate, portable alternative to Math and StrictMath for large scale computation. | Class | org.apache.commons.math3.util | Apache Commons |
| FastSineTransformer | data sets. | Class | org.apache.commons.math3.transform | Apache Commons |
| FDistribution | See Also:F-distribution (Wikipedia), F-distribution (MathWorld), | Class | org.apache.commons.math3.distribution | Apache Commons |
| FeatureInitializer | Defines how to assign the first value of a neuron's feature. | Interface | org.apache.commons.math3.ml.neuralnet | Apache Commons |
| FeatureInitializerFactory | Class | org.apache.commons.math3.ml.neuralnet | Apache Commons | |
| Field | Interface representing a field. | Class | org.apache.commons.math3 | Apache Commons |
| FieldBracketingNthOrderBrentSolver | This class implements a modification of the Brent algorithm. | Class | org.apache.commons.math3.analysis.solvers | Apache Commons |
| FieldButcherArrayProvider | This interface represents an integrator based on Butcher arrays. | Interface | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| FieldDecompositionSolver | Interface | org.apache.commons.math3.linear | Apache Commons | |
| FieldElement | Interface representing field elements. | Interface | org.apache.commons.math3 | Apache Commons |
| FieldEquationsMapper | Class mapping the part of a complete state or derivative that pertains to a set of differential equations. | Class | org.apache.commons.math3.ode | Apache Commons |
| FieldEventHandler | This interface represents a handler for discrete events triggered during ODE integration. | Interface | org.apache.commons.math3.ode.events | Apache Commons |
| FieldEventState | This class handles the state for one event handler during integration steps. | Class | org.apache.commons.math3.ode.events | Apache Commons |
| FieldExpandableODE | 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 | Class | org.apache.commons.math3.ode | Apache Commons |
| FieldFixedStepHandler | This interface represents a handler that should be called after each successful fixed step. | Interface | org.apache.commons.math3.ode.sampling | Apache Commons |
| FieldHermiteInterpolator | Polynomial interpolator using both sample values and sample derivatives. | Class | org.apache.commons.math3.analysis.interpolation | Apache Commons |
| FieldLUDecomposition | Calculates the LUP-decomposition of a square matrix. | Class | org.apache.commons.math3.linear | Apache Commons |
| FieldMatrix | Interface defining field-valued matrix with basic algebraic operations. | Interface | org.apache.commons.math3.linear | Apache Commons |
| FieldMatrixChangingVisitor | Interface defining a visitor for matrix entries. | Interface | org.apache.commons.math3.linear | Apache Commons |
| FieldMatrixPreservingVisitor | Interface defining a visitor for matrix entries. | Interface | org.apache.commons.math3.linear | Apache Commons |
| FieldODEState | Container for time, main and secondary state vectors. | Class | org.apache.commons.math3.ode | Apache Commons |
| FieldODEStateAndDerivative | Container for time, main and secondary state vectors as well as their derivatives. | Class | org.apache.commons.math3.ode | Apache Commons |
| FieldRotation | This class is a re-implementation of Rotation using RealFieldElement. | Class | org.apache.commons.math3.geometry.euclidean.threed | Apache Commons |
| FieldSecondaryEquations | This interface allows users to add secondary differential equations to a primary set of differential equations. | Interface | org.apache.commons.math3.ode | Apache Commons |
| FieldStepHandler | This interface represents a handler that should be called after each successful step. | Interface | org.apache.commons.math3.ode.sampling | Apache Commons |
| FieldStepInterpolator | This interface represents an interpolator over the last step during an ODE integration. | Interface | org.apache.commons.math3.ode.sampling | Apache Commons |
| FieldStepNormalizer | This class wraps an object implementing FieldFixedStepHandler into a FieldStepHandler. | Class | org.apache.commons.math3.ode.sampling | Apache Commons |
| FieldVector | Interface defining a field-valued vector with basic algebraic operations. | Interface | org.apache.commons.math3.linear | Apache Commons |
| FieldVector3D | This class is a re-implementation of Vector3D using RealFieldElement. | Class | org.apache.commons.math3.geometry.euclidean.threed | Apache Commons |
| FieldVectorChangingVisitor | This interface defines a visitor for the entries of a vector. | Interface | org.apache.commons.math3.linear | Apache Commons |
| FieldVectorPreservingVisitor | This interface defines a visitor for the entries of a vector. | Interface | org.apache.commons.math3.linear | Apache Commons |
| FilterType | Enumerate for filtering events. | Class | org.apache.commons.math3.ode.events | Apache Commons |
| FiniteDifferencesDifferentiator | Univariate functions differentiator using finite differences. | Class | org.apache.commons.math3.analysis.differentiation | Apache Commons |
| FirstOrderConverter | This class converts second order differential equations to first This class is a wrapper around a SecondOrderDifferentialEquations which allow to use a FirstOrderIntegrator to integrate it. | Class | org.apache.commons.math3.ode | Apache Commons |
| FirstOrderDifferentialEquations | This interface represents a first order differential equations set. | Interface | org.apache.commons.math3.ode | Apache Commons |
| FirstOrderFieldDifferentialEquations | This interface represents a first order differential equations set. | Interface | org.apache.commons.math3.ode | Apache Commons |
| FirstOrderFieldIntegrator | This interface represents a first order integrator for differential equations. | Interface | org.apache.commons.math3.ode | Apache Commons |
| FirstOrderIntegrator | This interface represents a first order integrator for differential equations. | Interface | org.apache.commons.math3.ode | Apache Commons |
| Fitness | Fitness of a chromosome. | Interface | org.apache.commons.math3.genetics | Apache Commons |
| FixedElapsedTime | Stops after a fixed amount of time has elapsed. | Class | org.apache.commons.math3.genetics | Apache Commons |
| FixedGenerationCount | Stops after a fixed number of generations. | Class | org.apache.commons.math3.genetics | Apache Commons |
| FixedStepHandler | This interface represents a handler that should be called after each successful fixed step. | Interface | org.apache.commons.math3.ode.sampling | Apache Commons |
| Floor | Class | org.apache.commons.math3.analysis.function | Apache Commons | |
| Fraction | Representation of a rational number. | Class | org.apache.commons.math3.fraction | Apache Commons |
| FractionConversionException | Error thrown when a double value cannot be converted to a fraction in the allowed number of iterations. | Class | org.apache.commons.math3.fraction | Apache Commons |
| FractionField | Representation of the fractional numbers field. | Class | org.apache.commons.math3.fraction | Apache Commons |
| FractionFormat | Formats a Fraction number in proper format or improper format. | Class | org.apache.commons.math3.fraction | Apache Commons |
| Frequency | Maintains a frequency distribution. | Class | org.apache.commons.math3.stat | Apache Commons |
| FunctionUtils | Utilities for manipulating function objects. | Class | org.apache.commons.math3.analysis | Apache Commons |
| FuzzyKMeansClusterer | Fuzzy K-Means clustering algorithm. | Class | org.apache.commons.math3.ml.clustering | Apache Commons |
| Gamma | Class | org.apache.commons.math3.special | Apache Commons | |
| GammaDistribution | See Also:Gamma distribution (Wikipedia), Gamma distribution (MathWorld), | Class | org.apache.commons.math3.distribution | Apache Commons |
| Gaussian | Gaussian function. | Class | org.apache.commons.math3.analysis.function | Apache Commons |
| Gaussian .Parametric | Parametric function where the input array contains the parameters of the Gaussian, ordered as follows: | Class | org.apache.commons.math3.analysis.function.Gaussian | Apache Commons |
| GaussianCurveFitter | Fits points to a Gaussian The initial guess values must be passed | Class | org.apache.commons.math3.fitting | Apache Commons |
| GaussianCurveFitter .ParameterGuesser | Guesses the parameters norm, mean, and sigma of a Gaussian. | Class | org.apache.commons.math3.fitting.GaussianCurveFitter | Apache Commons |
| GaussianFitter | Fits points to a Gaussian function. | Class | org.apache.commons.math3.fitting | Apache Commons |
| GaussianFitter | Fits points to a Gaussian function. | Class | org.apache.commons.math3.optimization.fitting | Apache Commons |
| GaussianFitter .ParameterGuesser | Guesses the parameters norm, mean, and sigma of a Gaussian. | Class | org.apache.commons.math3.fitting.GaussianFitter | Apache Commons |
| GaussianFitter .ParameterGuesser | Guesses the parameters norm, mean, and sigma of a Gaussian. | Class | org.apache.commons.math3.optimization.fitting.GaussianFitter | Apache Commons |
| GaussianRandomGenerator | This class is a gaussian normalized random generator for scalars. | Class | org.apache.commons.math3.random | Apache Commons |
| GaussIntegrator | Class that implements the Gaussian rule for integrating a weighted | Class | org.apache.commons.math3.analysis.integration.gauss | Apache Commons |
| GaussIntegratorFactory | Class that provides different ways to compute the nodes and weights to be used by the Gaussian integration rule. | Class | org.apache.commons.math3.analysis.integration.gauss | Apache Commons |
| GaussNewtonOptimizer | Gauss-Newton least-squares solver. | Class | org.apache.commons.math3.fitting.leastsquares | Apache Commons |
| GaussNewtonOptimizer | Gauss-Newton least-squares solver. | Class | org.apache.commons.math3.optim.nonlinear.vector.jacobian | Apache Commons |
| GaussNewtonOptimizer | Gauss-Newton least-squares solver. | Class | org.apache.commons.math3.optimization.general | Apache Commons |
| GaussNewtonOptimizer .Decomposition | The decomposition algorithm to use to solve the normal equations. | Class | org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer | Apache Commons |
| GeneticAlgorithm | of the algorithm can be configured for a specific problem. | Class | org.apache.commons.math3.genetics | Apache Commons |
| GeometricDistribution | Class | org.apache.commons.math3.distribution | Apache Commons | |
| GeometricMean | geometric mean of the available values. | Class | org.apache.commons.math3.stat.descriptive.moment | Apache Commons |
| GillFieldIntegrator | This class implements the Gill fourth order Runge-Kutta integrator for Ordinary Differential Equations . | Class | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| GillIntegrator | This class implements the Gill fourth order Runge-Kutta integrator for Ordinary Differential Equations . | Class | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| GLSMultipleLinearRegression | The GLS implementation of multiple linear regression. | Class | org.apache.commons.math3.stat.regression | Apache Commons |
| GoalType | Goal type for an optimization problem (minimization or maximization ofEnum Constant Summary | Class | org.apache.commons.math3.optim.nonlinear.scalar | Apache Commons |
| GoalType | Goal type for an optimization problem. | Class | org.apache.commons.math3.optimization | Apache Commons |
| GradientFunction | Class representing the gradient of a multivariate function. | Class | org.apache.commons.math3.analysis.differentiation | Apache Commons |
| GradientMultivariateOptimizer | Base class for implementing optimizers for multivariate scalar differentiable functions. | Class | org.apache.commons.math3.optim.nonlinear.scalar | Apache Commons |
| GraggBulirschStoerIntegrator | This class implements a Gragg-Bulirsch-Stoer integrator for Ordinary Differential Equations. | Class | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| GTest | This is known in statistical genetics as the McDonald-Kreitman test. | Class | org.apache.commons.math3.stat.inference | Apache Commons |
| GumbelDistribution | This class implements the Gumbel distribution. | Class | org.apache.commons.math3.distribution | Apache Commons |
| HaltonSequenceGenerator | A Halton sequence is a low-discrepancy sequence generating points in the interval [0, 1] according to H(n) = d_0 / b + d_1 / b^2 . | Class | org.apache.commons.math3.random | Apache Commons |
| HarmonicCurveFitter | Fits points to a harmonic oscillator The initial guess values must be passed | Class | org.apache.commons.math3.fitting | Apache Commons |
| HarmonicCurveFitter .ParameterGuesser | This class guesses harmonic coefficients from a sample. | Class | org.apache.commons.math3.fitting.HarmonicCurveFitter | Apache Commons |
| HarmonicFitter | Class that implements a curve fitting specialized for sinusoids. | Class | org.apache.commons.math3.fitting | Apache Commons |
| HarmonicFitter | Class that implements a curve fitting specialized for sinusoids. | Class | org.apache.commons.math3.optimization.fitting | Apache Commons |
| HarmonicFitter .ParameterGuesser | This class guesses harmonic coefficients from a sample. | Class | org.apache.commons.math3.fitting.HarmonicFitter | Apache Commons |
| HarmonicFitter .ParameterGuesser | This class guesses harmonic coefficients from a sample. | Class | org.apache.commons.math3.optimization.fitting.HarmonicFitter | Apache Commons |
| HarmonicOscillator | simple harmonic oscillator function. | Class | org.apache.commons.math3.analysis.function | Apache Commons |
| HarmonicOscillator .Parametric | Parametric function where the input array contains the parameters of the harmonic oscillator function, ordered as follows: | Class | org.apache.commons.math3.analysis.function.HarmonicOscillator | Apache Commons |
| HermiteInterpolator | Polynomial interpolator using both sample values and sample derivatives. | Class | org.apache.commons.math3.analysis.interpolation | Apache Commons |
| HermiteRuleFactory | Factory that creates a Gauss-type quadrature rule using Hermite polynomials | Class | org.apache.commons.math3.analysis.integration.gauss | Apache Commons |
| HighamHall54FieldIntegrator | This class implements the 5(4) Higham and Hall integrator for Ordinary Differential Equations. | Class | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| HighamHall54Integrator | This class implements the 5(4) Higham and Hall integrator for Ordinary Differential Equations. | Class | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| HitHistogram | Computes the hit histogram. | Class | org.apache.commons.math3.ml.neuralnet.twod.util | Apache Commons |
| HypergeometricDistribution | See Also:Hypergeometric distribution (Wikipedia), Hypergeometric distribution (MathWorld), | Class | org.apache.commons.math3.distribution | Apache Commons |
| Hyperplane | This interface represents an hyperplane of a space. | Interface | org.apache.commons.math3.geometry.partitioning | Apache Commons |
| Identity | Class | org.apache.commons.math3.analysis.function | Apache Commons | |
| IllConditionedOperatorException | An exception to be thrown when the condition number of a RealLinearOperator is too high. | Class | org.apache.commons.math3.linear | Apache Commons |
| IllinoisSolver | a zero of a univariate real function). | Class | org.apache.commons.math3.analysis.solvers | Apache Commons |
| Incrementor | Utility that increments a counter until a maximum is reached, at which point, the instance will by default throw a | Class | org.apache.commons.math3.util | Apache Commons |
| Incrementor .MaxCountExceededCallback | Defines a method to be called at counter exhaustion. | Interface | org.apache.commons.math3.util.Incrementor | Apache Commons |
| InitialGuess | Starting point (first guess) of the optimization procedure. | Class | org.apache.commons.math3.optim | Apache Commons |
| InitialGuess | Starting point (first guess) of the optimization procedure. | Class | org.apache.commons.math3.optimization | Apache Commons |
| InsufficientDataException | Exception to be thrown when there is insufficient data to perform a computation. | Class | org.apache.commons.math3.exception | Apache Commons |
| IntegerDistribution | Interface for distributions on the integers. | Interface | org.apache.commons.math3.distribution | Apache Commons |
| IntegerSequence | Provides a sequence of integers. | Class | org.apache.commons.math3.util | Apache Commons |
| IntegerSequence .Incrementor | Utility that increments a counter until a maximum is reached, at which point, the instance will by default throw a | Class | org.apache.commons.math3.util.IntegerSequence | Apache Commons |
| IntegerSequence .Incrementor .MaxCountExceededCallback | Defines a method to be called at counter exhaustion. | Interface | org.apache.commons.math3.util.IntegerSequence.Incrementor | Apache Commons |
| IntegerSequence .Range | Generates a sequence of integers. | Class | org.apache.commons.math3.util.IntegerSequence | Apache Commons |
| InterpolatingMicrosphere | Utility class for the MicrosphereProjectionInterpolator algorithm. | Class | org.apache.commons.math3.analysis.interpolation | Apache Commons |
| InterpolatingMicrosphere2D | Utility class for the MicrosphereProjectionInterpolator algorithm. | Class | org.apache.commons.math3.analysis.interpolation | Apache Commons |
| Interval | This class represents a 1D interval. | Class | org.apache.commons.math3.geometry.euclidean.oned | Apache Commons |
| IntervalsSet | This class represents a 1D region: a set of intervals. | Class | org.apache.commons.math3.geometry.euclidean.oned | Apache Commons |
| IntervalUtils | Factory methods to generate confidence intervals for a binomial proportion. | Class | org.apache.commons.math3.stat.interval | Apache Commons |
| InvalidRepresentationException | Exception indicating that the representation of a chromosome is not valid. | Class | org.apache.commons.math3.genetics | Apache Commons |
| Inverse | Class | org.apache.commons.math3.analysis.function | Apache Commons | |
| ISAACRandom | ISAAC: a fast cryptographic pseudo-random number generator ISAAC (Indirection, Shift, Accumulate, Add, and Count) generates 32-bit | Class | org.apache.commons.math3.random | Apache Commons |
| IterationEvent | The root class from which all events occurring while running an IterationManager should be derived. | Class | org.apache.commons.math3.util | Apache Commons |
| IterationListener | Interface | org.apache.commons.math3.util | Apache Commons | |
| IterationManager | This abstract class provides a general framework for managing iterative algorithms. | Class | org.apache.commons.math3.util | Apache Commons |
| IterativeLegendreGaussIntegrator | This algorithm divides the integration interval into equally-sized sub-interval and on each of them performs a | Class | org.apache.commons.math3.analysis.integration | Apache Commons |
| IterativeLinearSolver | Class | org.apache.commons.math3.linear | Apache Commons | |
| IterativeLinearSolverEvent | This is the base class for all events occurring during the iterations of a IterativeLinearSolver. | Class | org.apache.commons.math3.linear | Apache Commons |
| JacobianFunction | Class representing the Jacobian of a multivariate vector function. | Class | org.apache.commons.math3.analysis.differentiation | Apache Commons |
| JacobianMatrices | This class defines a set of secondary equations to compute the Jacobian matrices with respect to the initial state vector and, if | Class | org.apache.commons.math3.ode | Apache Commons |
| JacobianMatrices .MismatchedEquations | Special exception for equations mismatch. | Class | org.apache.commons.math3.ode.JacobianMatrices | Apache Commons |
| JacobianMultivariateVectorOptimizer | Base class for implementing optimizers for multivariate vector differentiable functions. | Class | org.apache.commons.math3.optim.nonlinear.vector | Apache Commons |
| JacobiPreconditioner | This class implements the standard Jacobi (diagonal) preconditioner. | Class | org.apache.commons.math3.linear | Apache Commons |
| JDKRandomGenerator | Extension of java. | Class | org.apache.commons.math3.random | Apache Commons |
| KalmanFilter | of a discrete-time controlled process that is governed by the linear stochastic difference equation: | Class | org.apache.commons.math3.filter | Apache Commons |
| KendallsCorrelation | A pair of observations (x1, y1) and (x2, y2) are considered concordant if | Class | org.apache.commons.math3.stat.correlation | Apache Commons |
| KMeansPlusPlusClusterer | Clustering algorithm based on David Arthur and Sergei Vassilvitski k-means++ algorithm. | Class | org.apache.commons.math3.ml.clustering | Apache Commons |
| KMeansPlusPlusClusterer | Clustering algorithm based on David Arthur and Sergei Vassilvitski k-means++ algorithm. | Class | org.apache.commons.math3.stat.clustering | Apache Commons |
| KMeansPlusPlusClusterer .EmptyClusterStrategy | Strategies to use for replacing an empty cluster. | Class | org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer | Apache Commons |
| KMeansPlusPlusClusterer .EmptyClusterStrategy | Strategies to use for replacing an empty cluster. | Class | org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer | Apache Commons |
| KohonenTrainingTask | Trainer for Kohonen's Self-Organizing Map. | Class | org.apache.commons.math3.ml.neuralnet.sofm | Apache Commons |
| KohonenUpdateAction | Kohonen's Self-Organizing Map. | Class | org.apache.commons.math3.ml.neuralnet.sofm | Apache Commons |
| KolmogorovSmirnovDistribution | Treats the distribution of the two-sided P(D_n < d) where D_n = sup_x G(x) - G_n (x) for the theoretical cdf G and | Class | org.apache.commons.math3.distribution | Apache Commons |
| KolmogorovSmirnovTest | Kolmogorov-Smirnov (K-S) test for equality of continuous distributions. | Class | org.apache.commons.math3.stat.inference | Apache Commons |
| KthSelector | A Simple Kth selector implementation to pick up the Kth ordered element from a work array containing the input | Class | org.apache.commons.math3.util | Apache Commons |
| Kurtosis | Computes the Kurtosis of the available values. | Class | org.apache.commons.math3.stat.descriptive.moment | Apache Commons |
| LaguerreSolver | Laguerre's Method for root finding of real coefficient polynomials. | Class | org.apache.commons.math3.analysis.solvers | Apache Commons |
| LaplaceDistribution | This class implements the Laplace distribution. | Class | org.apache.commons.math3.distribution | Apache Commons |
| LearningFactorFunction | Provides the learning rate as a function of the number of calls already performed during the learning task. | Interface | org.apache.commons.math3.ml.neuralnet.sofm | Apache Commons |
| LearningFactorFunctionFactory | Factory for creating instances of LearningFactorFunction. | Class | org.apache.commons.math3.ml.neuralnet.sofm | Apache Commons |
| LeastSquaresAdapter | An adapter that delegates to another implementation of LeastSquaresProblem. | Class | org.apache.commons.math3.fitting.leastsquares | Apache Commons |
| LeastSquaresBuilder | A mutable builder for LeastSquaresProblems. | Class | org.apache.commons.math3.fitting.leastsquares | Apache Commons |
| LeastSquaresConverter | vectorial objective functions to scalar objective functions | Class | org.apache.commons.math3.optim.nonlinear.scalar | Apache Commons |
| LeastSquaresConverter | This class converts vectorial objective functions to scalar objective functions | Class | org.apache.commons.math3.optimization | Apache Commons |
| LeastSquaresFactory | A Factory for creating LeastSquaresProblems. | Class | org.apache.commons.math3.fitting.leastsquares | Apache Commons |
| LeastSquaresOptimizer | An algorithm that can be applied to a non-linear least squares problem. | Interface | org.apache.commons.math3.fitting.leastsquares | Apache Commons |
| LeastSquaresOptimizer .Optimum | The optimum found by the optimizer. | Interface | org.apache.commons.math3.fitting.leastsquares.LeastSquaresOptimizer | Apache Commons |
| LeastSquaresProblem | The data necessary to define a non-linear least squares problem. | Interface | org.apache.commons.math3.fitting.leastsquares | Apache Commons |
| LeastSquaresProblem .Evaluation | An evaluation of a LeastSquaresProblem at a particular point. | Interface | org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem | Apache Commons |
| LegendreGaussIntegrator | Legendre-Gauss quadrature formula. | Class | org.apache.commons.math3.analysis.integration | Apache Commons |
| LegendreHighPrecisionRuleFactory | Factory that creates Gauss-type quadrature rule using Legendre polynomials. | Class | org.apache.commons.math3.analysis.integration.gauss | Apache Commons |
| LegendreRuleFactory | Factory that creates Gauss-type quadrature rule using Legendre polynomials. | Class | org.apache.commons.math3.analysis.integration.gauss | Apache Commons |
| LevenbergMarquardtOptimizer | This class solves a least-squares problem using the Levenberg-Marquardt This implementation should work even for over-determined systems | Class | org.apache.commons.math3.fitting.leastsquares | Apache Commons |
| LevenbergMarquardtOptimizer | This class solves a least-squares problem using the Levenberg-Marquardt Constraints are not supported: the call to | Class | org.apache.commons.math3.optim.nonlinear.vector.jacobian | Apache Commons |
| LevenbergMarquardtOptimizer | This class solves a least squares problem using the Levenberg-Marquardt algorithm. | Class | org.apache.commons.math3.optimization.general | Apache Commons |
| LevyDistribution | This class implements the Since:3. | Class | org.apache.commons.math3.distribution | Apache Commons |
| LimitAngle | This class represents a 1D oriented hyperplane on the circle. | Class | org.apache.commons.math3.geometry.spherical.oned | Apache Commons |
| Line | The class represent lines in a three dimensional space. | Class | org.apache.commons.math3.geometry.euclidean.threed | Apache Commons |
| Line | This class represents an oriented line in the 2D plane. | Class | org.apache.commons.math3.geometry.euclidean.twod | Apache Commons |
| LinearConstraint | A linear constraint for a linear optimization problem. | Class | org.apache.commons.math3.optim.linear | Apache Commons |
| LinearConstraint | A linear constraint for a linear optimization problem. | Class | org.apache.commons.math3.optimization.linear | Apache Commons |
| LinearConstraintSet | Class that represents a set of linear constraints. | Class | org.apache.commons.math3.optim.linear | Apache Commons |
| LinearInterpolator | Class | org.apache.commons.math3.analysis.interpolation | Apache Commons | |
| LinearObjectiveFunction | An objective function for a linear optimization problem. | Class | org.apache.commons.math3.optim.linear | Apache Commons |
| LinearObjectiveFunction | An objective function for a linear optimization problem. | Class | org.apache.commons.math3.optimization.linear | Apache Commons |
| LinearOptimizer | Base class for implementing linear optimizers. | Class | org.apache.commons.math3.optim.linear | Apache Commons |
| LinearOptimizer | This interface represents an optimization algorithm for linear problems. | Interface | org.apache.commons.math3.optimization.linear | Apache Commons |
| LineSearch | Class | org.apache.commons.math3.optim.nonlinear.scalar | Apache Commons | |
| ListPopulation | Population of chromosomes represented by a List. | Class | org.apache.commons.math3.genetics | Apache Commons |
| Localizable | Interface for localizable strings. | Interface | org.apache.commons.math3.exception.util | Apache Commons |
| LocalizedFormats | enum LocalizedFormatsEnumeration for localized messages formats used in exceptions messages. | Class | org.apache.commons.math3.exception.util | Apache Commons |
| LocationFinder | Helper class to find the grid coordinates of a neuron. | Class | org.apache.commons.math3.ml.neuralnet.twod.util | Apache Commons |
| LocationFinder .Location | Container holding a (row, column) pair. | Class | org.apache.commons.math3.ml.neuralnet.twod.util.LocationFinder | Apache Commons |
| LoessInterpolator | Local Regression Algorithm (also Loess, Lowess) for interpolation of real univariate functions. | Class | org.apache.commons.math3.analysis.interpolation | Apache Commons |
| Log | Natural logarithm function. | Class | org.apache.commons.math3.analysis.function | Apache Commons |
| Log10 | Base 10 logarithm function. | Class | org.apache.commons.math3.analysis.function | Apache Commons |
| Log1p | log(1 + p) function. | Class | org.apache.commons.math3.analysis.function | Apache Commons |
| Logistic | Generalised logistic function. | Class | org.apache.commons.math3.analysis.function | Apache Commons |
| Logistic .Parametric | Parametric function where the input array contains the parameters of the logistic function, ordered as follows: | Class | org.apache.commons.math3.analysis.function.Logistic | Apache Commons |
| LogisticDistribution | This class implements the Logistic distribution. | Class | org.apache.commons.math3.distribution | Apache Commons |
| Logit | It is the inverse of the sigmoid function. | Class | org.apache.commons.math3.analysis.function | Apache Commons |
| Logit .Parametric | Parametric function where the input array contains the parameters of the logit function, ordered as follows: | Class | org.apache.commons.math3.analysis.function.Logit | Apache Commons |
| LogNormalDistribution | X is log-normally distributed if its natural logarithm log(X) is normally distributed. | Class | org.apache.commons.math3.distribution | Apache Commons |
| LUDecomposition | Calculates the LUP-decomposition of a square matrix. | Class | org.apache.commons.math3.linear | Apache Commons |
| LutherFieldIntegrator | This class implements the Luther sixth order Runge-Kutta integrator for Ordinary Differential Equations. | Class | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| LutherIntegrator | This class implements the Luther sixth order Runge-Kutta integrator for Ordinary Differential Equations. | Class | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| MainStateJacobianProvider | Interface expanding first order differential equations in order to compute exactly the main state jacobian | Interface | org.apache.commons.math3.ode | Apache Commons |
| ManhattanDistance | Calculates the L1 (sum of abs) distance between two points. | Class | org.apache.commons.math3.ml.distance | Apache Commons |
| MannWhitneyUTest | An implementation of the Mann-Whitney U test (also called Wilcoxon rank-sum test). | Class | org.apache.commons.math3.stat.inference | Apache Commons |
| MapDataVisualization | Interface | org.apache.commons.math3.ml.neuralnet.twod.util | Apache Commons | |
| MapUtils | Utilities for network maps. | Class | org.apache.commons.math3.ml.neuralnet | Apache Commons |
| MapVisualization | Interface for algorithms that compute some property of a 2D-map. | Interface | org.apache.commons.math3.ml.neuralnet.twod.util | Apache Commons |
| MathArithmeticException | Base class for arithmetic exceptions. | Class | org.apache.commons.math3.exception | Apache Commons |
| MathArrays | Class | org.apache.commons.math3.util | Apache Commons | |
| MathArrays .Function | Real-valued function that operate on an array or a part of it. | Interface | org.apache.commons.math3.util.MathArrays | Apache Commons |
| MathArrays .OrderDirection | Specification of ordering direction. | Class | org.apache.commons.math3.util.MathArrays | Apache Commons |
| MathArrays .Position | Specification for indicating that some operation applies before or after a given index. | Class | org.apache.commons.math3.util.MathArrays | Apache Commons |
| MathIllegalArgumentException | Base class for all preconditions violation exceptions. | Class | org.apache.commons.math3.exception | Apache Commons |
| MathIllegalNumberException | Base class for exceptions raised by a wrong number. | Class | org.apache.commons.math3.exception | Apache Commons |
| MathIllegalStateException | Base class for all exceptions that signal that the process throwing the exception is in a state that does not comply with | Class | org.apache.commons.math3.exception | Apache Commons |
| MathInternalError | Exception triggered when something that shouldn't happen does happen. | Class | org.apache.commons.math3.exception | Apache Commons |
| MathParseException | Class to signal parse failures. | Class | org.apache.commons.math3.exception | Apache Commons |
| MathRuntimeException | As of release 4. | Class | org.apache.commons.math3.exception | Apache Commons |
| MathUnsupportedOperationException | Base class for all unsupported features. | Class | org.apache.commons.math3.exception | Apache Commons |
| MathUtils | Miscellaneous utility functions. | Class | org.apache.commons.math3.util | Apache Commons |
| MatrixDimensionMismatchException | Exception to be thrown when either the number of rows or the number of columns of a matrix do not match the expected values. | Class | org.apache.commons.math3.linear | Apache Commons |
| MatrixUtils | A collection of static methods that operate on or return matrices. | Class | org.apache.commons.math3.linear | Apache Commons |
| Max | Class | org.apache.commons.math3.analysis.function | Apache Commons | |
| Max | Returns the maximum of the available values. | Class | org.apache.commons.math3.stat.descriptive.rank | Apache Commons |
| MaxCountExceededException | Exception to be thrown when some counter maximum value is exceeded. | Class | org.apache.commons.math3.exception | Apache Commons |
| MaxEval | Maximum number of evaluations of the function to be optimized. | Class | org.apache.commons.math3.optim | Apache Commons |
| MaxIter | Maximum number of iterations performed by an (iterative) algorithm. | Class | org.apache.commons.math3.optim | Apache Commons |
| Mean | Computes the arithmetic mean of a set of values. | Class | org.apache.commons.math3.stat.descriptive.moment | Apache Commons |
| MeasurementModel | Defines the measurement model for the use with a KalmanFilter. | Interface | org.apache.commons.math3.filter | Apache Commons |
| Median | Returns the median of the available values. | Class | org.apache.commons.math3.stat.descriptive.rank | Apache Commons |
| MedianOf3PivotingStrategy | Classic median of 3 strategy given begin and end indices. | Class | org.apache.commons.math3.util | Apache Commons |
| MersenneTwister | This class implements a powerful pseudo-random number generator developed by Makoto Matsumoto and Takuji Nishimura during | Class | org.apache.commons.math3.random | Apache Commons |
| MicrosphereInterpolatingFunction | Interpolating function that implements the Microsphere Projection. | Class | org.apache.commons.math3.analysis.interpolation | Apache Commons |
| MicrosphereInterpolator | Class | org.apache.commons.math3.analysis.interpolation | Apache Commons | |
| MicrosphereProjectionInterpolator | Class | org.apache.commons.math3.analysis.interpolation | Apache Commons | |
| MidpointFieldIntegrator | This class implements a second order Runge-Kutta integrator for Ordinary Differential Equations. | Class | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| MidPointIntegrator | Midpoint Rule for integration of real univariate functions. | Class | org.apache.commons.math3.analysis.integration | Apache Commons |
| MidpointIntegrator | This class implements a second order Runge-Kutta integrator for Ordinary Differential Equations. | Class | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| MillerUpdatingRegression | This class is a concrete implementation of the UpdatingMultipleLinearRegression interface. | Class | org.apache.commons.math3.stat.regression | Apache Commons |
| Min | Class | org.apache.commons.math3.analysis.function | Apache Commons | |
| Min | Returns the minimum of the available values. | Class | org.apache.commons.math3.stat.descriptive.rank | Apache Commons |
| Minus | Class | org.apache.commons.math3.analysis.function | Apache Commons | |
| MixtureMultivariateNormalDistribution | Multivariate normal mixture distribution. | Class | org.apache.commons.math3.distribution | Apache Commons |
| MixtureMultivariateRealDistribution | Class for representing mixture model distributions. | Class | org.apache.commons.math3.distribution | Apache Commons |
| ModelFunction | Model (vector) function to be optimized. | Class | org.apache.commons.math3.optim.nonlinear.vector | Apache Commons |
| ModelFunctionJacobian | Jacobian of the model (vector) function to be optimized. | Class | org.apache.commons.math3.optim.nonlinear.vector | Apache Commons |
| ModelSpecificationException | Exception thrown when a regression model is not correctly specified. | Class | org.apache.commons.math3.stat.regression | Apache Commons |
| MonotoneChain | points in the two-dimensional euclidean space. | Class | org.apache.commons.math3.geometry.euclidean.twod.hull | Apache Commons |
| MullerSolver | This class implements the Muller's Method for root finding of real univariate functions. | Class | org.apache.commons.math3.analysis.solvers | Apache Commons |
| MullerSolver2 | This class implements the Muller's Method for root finding of real univariate functions. | Class | org.apache.commons.math3.analysis.solvers | Apache Commons |
| MultidimensionalCounter | Converter between unidimensional storage structure and multidimensional conceptual structure. | Class | org.apache.commons.math3.util | Apache Commons |
| MultiDimensionMismatchException | Exception to be thrown when two sets of dimensions differ. | Class | org.apache.commons.math3.exception | Apache Commons |
| MultiDirectionalSimplex | This class implements the multi-directional direct search method. | Class | org.apache.commons.math3.optim.nonlinear.scalar.noderiv | Apache Commons |
| MultiDirectionalSimplex | This class implements the multi-directional direct search method. | Class | org.apache.commons.math3.optimization.direct | Apache Commons |
| MultiKMeansPlusPlusClusterer | A wrapper around a k-means++ clustering algorithm which performs multiple trials and returns the best solution. | Class | org.apache.commons.math3.ml.clustering | Apache Commons |
| MultipleLinearRegression | The multiple linear regression can be represented in matrix-notation. | Interface | org.apache.commons.math3.stat.regression | Apache Commons |
| Multiply | Multiply the two operands. | Class | org.apache.commons.math3.analysis.function | Apache Commons |
| MultiStartMultivariateOptimizer | Multi-start optimizer. | Class | org.apache.commons.math3.optim.nonlinear.scalar | Apache Commons |
| MultiStartMultivariateVectorOptimizer | Multi-start optimizer for a (vector) model function. | Class | org.apache.commons.math3.optim.nonlinear.vector | Apache Commons |
| MultiStartUnivariateOptimizer | Special implementation of the UnivariateOptimizer interface adding multi-start features to an existing optimizer. | Class | org.apache.commons.math3.optim.univariate | Apache Commons |
| MultistepFieldIntegrator | This class is the base class for multistep integrators for Ordinary Differential Equations. | Class | org.apache.commons.math3.ode | Apache Commons |
| MultistepIntegrator | This class is the base class for multistep integrators for Ordinary Differential Equations. | Class | org.apache.commons.math3.ode | Apache Commons |
| MultistepIntegrator .NordsieckTransformer | Transformer used to convert the first step to Nordsieck representation. | Interface | org.apache.commons.math3.ode.MultistepIntegrator | Apache Commons |
| MultivariateDifferentiableFunction | Extension of MultivariateFunction representing a multivariate differentiable real function. | Interface | org.apache.commons.math3.analysis.differentiation | Apache Commons |
| MultivariateDifferentiableMultiStartOptimizer | Special implementation of the MultivariateDifferentiableOptimizer interface adding multi-start features to an existing optimizer. | Class | org.apache.commons.math3.optimization | Apache Commons |
| MultivariateDifferentiableOptimizer | This interface represents an optimization algorithm for scalar differentiable objective | Interface | org.apache.commons.math3.optimization | Apache Commons |
| MultivariateDifferentiableVectorFunction | Extension of MultivariateVectorFunction representing a multivariate differentiable vectorial function. | Interface | org.apache.commons.math3.analysis.differentiation | Apache Commons |
| MultivariateDifferentiableVectorMultiStartOptimizer | Special implementation of the MultivariateDifferentiableVectorOptimizer interface adding multi-start features to an existing optimizer. | Class | org.apache.commons.math3.optimization | Apache Commons |
| MultivariateDifferentiableVectorOptimizer | This interface represents an optimization algorithm for differentiable vectorial | Interface | org.apache.commons.math3.optimization | Apache Commons |
| MultivariateFunction | An interface representing a multivariate real function. | Interface | org.apache.commons.math3.analysis | Apache Commons |
| MultivariateFunctionMappingAdapter | Adapter for mapping bounded MultivariateFunction to unbounded ones. | Class | org.apache.commons.math3.optim.nonlinear.scalar | Apache Commons |
| MultivariateFunctionMappingAdapter | Adapter for mapping bounded MultivariateFunction to unbounded ones. | Class | org.apache.commons.math3.optimization.direct | Apache Commons |
| MultivariateFunctionPenaltyAdapter | Adapter extending bounded MultivariateFunction to an unbouded domain using a penalty function. | Class | org.apache.commons.math3.optim.nonlinear.scalar | Apache Commons |
| MultivariateFunctionPenaltyAdapter | Adapter extending bounded MultivariateFunction to an unbouded domain using a penalty function. | Class | org.apache.commons.math3.optimization.direct | Apache Commons |
| MultivariateInterpolator | Interface representing a univariate real interpolating function. | Interface | org.apache.commons.math3.analysis.interpolation | Apache Commons |
| MultivariateJacobianFunction | A interface for functions that compute a vector of values and can compute their derivatives (Jacobian). | Interface | org.apache.commons.math3.fitting.leastsquares | Apache Commons |
| MultivariateMatrixFunction | An interface representing a multivariate matrix function. | Interface | org.apache.commons.math3.analysis | Apache Commons |
| MultivariateMultiStartOptimizer | Special implementation of the MultivariateOptimizer interface adding multi-start features to an existing optimizer. | Class | org.apache.commons.math3.optimization | Apache Commons |
| MultivariateNormalDistribution | Multivariate normal distribution (Wikipedia), Multivariate normal distribution (MathWorld) | Class | org.apache.commons.math3.distribution | Apache Commons |
| MultivariateNormalMixtureExpectationMaximization | Expectation-Maximization algorithm for fitting the parameters of multivariate normal mixture model distributions. | Class | org.apache.commons.math3.distribution.fitting | Apache Commons |
| MultivariateOptimizer | Base class for a multivariate scalar function optimizer. | Class | org.apache.commons.math3.optim.nonlinear.scalar | Apache Commons |
| MultivariateOptimizer | This interface represents an optimization algorithm for scalar objective functions. | Interface | org.apache.commons.math3.optimization | Apache Commons |
| MultivariateRealDistribution | Base interface for multivariate distributions on the reals. | Interface | org.apache.commons.math3.distribution | Apache Commons |
| MultivariateSummaryStatistics | Computes summary statistics for a stream of n-tuples added using the addValue method. | Class | org.apache.commons.math3.stat.descriptive | Apache Commons |
| MultivariateVectorFunction | An interface representing a multivariate vectorial function. | Interface | org.apache.commons.math3.analysis | Apache Commons |
| MultivariateVectorOptimizer | Base class for a multivariate vector function optimizer. | Class | org.apache.commons.math3.optim.nonlinear.vector | Apache Commons |
| MutationPolicy | Algorithm used to mutate a chromosome. | Interface | org.apache.commons.math3.genetics | Apache Commons |
| NakagamiDistribution | This class implements the Nakagami distribution. | Class | org.apache.commons.math3.distribution | Apache Commons |
| NaNStrategy | Strategies for handling NaN values in rank transformations. | Class | org.apache.commons.math3.stat.ranking | Apache Commons |
| NaturalRanking | Ranking based on the natural ordering on doubles. | Class | org.apache.commons.math3.stat.ranking | Apache Commons |
| NeighbourhoodSizeFunction | Provides the network neighbourhood's size as a function of the number of calls already performed during the learning task. | Interface | org.apache.commons.math3.ml.neuralnet.sofm | Apache Commons |
| NeighbourhoodSizeFunctionFactory | Factory for creating instances of NeighbourhoodSizeFunction. | Class | org.apache.commons.math3.ml.neuralnet.sofm | Apache Commons |
| NelderMeadSimplex | This class implements the Nelder-Mead simplex algorithm. | Class | org.apache.commons.math3.optim.nonlinear.scalar.noderiv | Apache Commons |
| NelderMeadSimplex | This class implements the Nelder-Mead simplex algorithm. | Class | org.apache.commons.math3.optimization.direct | Apache Commons |
| Network | Neural network, composed of Neuron instances and the links Although updating a neuron's state is thread-safe, modifying the | Class | org.apache.commons.math3.ml.neuralnet | Apache Commons |
| Network .NeuronIdentifierComparator | Comparator that prescribes an order of the neurons according to the increasing order of their identifier. | Class | org.apache.commons.math3.ml.neuralnet.Network | Apache Commons |
| Neuron | Describes a neuron element of a neural network. | Class | org.apache.commons.math3.ml.neuralnet | Apache Commons |
| NeuronSquareMesh2D | Neural network with the topology of a two-dimensional surface. | Class | org.apache.commons.math3.ml.neuralnet.twod | Apache Commons |
| NeuronSquareMesh2D .HorizontalDirection | Horizontal (along row) direction. | Class | org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D | Apache Commons |
| NeuronSquareMesh2D .VerticalDirection | Vertical (along column) direction. | Class | org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D | Apache Commons |
| NeuronString | Neural network with the topology of a one-dimensional line. | Class | org.apache.commons.math3.ml.neuralnet.oned | Apache Commons |
| NevilleInterpolator | Neville's Algorithm for interpolation of real univariate functions. | Class | org.apache.commons.math3.analysis.interpolation | Apache Commons |
| NewtonRaphsonSolver | Class | org.apache.commons.math3.analysis.solvers | Apache Commons | |
| NewtonSolver | Newton's Method for finding zeros of real univariate functions. | Class | org.apache.commons.math3.analysis.solvers | Apache Commons |
| NoBracketingException | Exception to be thrown when function values have the same sign at both ends of an interval. | Class | org.apache.commons.math3.exception | Apache Commons |
| NoDataException | Exception to be thrown when the required data is missing. | Class | org.apache.commons.math3.exception | Apache Commons |
| NodesSet | Set of BSP tree nodes. | Class | org.apache.commons.math3.geometry.partitioning | Apache Commons |
| NoFeasibleSolutionException | This class represents exceptions thrown by optimizers when no solution fulfills the constraints. | Class | org.apache.commons.math3.optim.linear | Apache Commons |
| NoFeasibleSolutionException | This class represents exceptions thrown by optimizers when no solution fulfills the constraints. | Class | org.apache.commons.math3.optimization.linear | Apache Commons |
| NonLinearConjugateGradientOptimizer | Non-linear conjugate gradient optimizer. | Class | org.apache.commons.math3.optim.nonlinear.scalar.gradient | Apache Commons |
| NonLinearConjugateGradientOptimizer | Non-linear conjugate gradient optimizer. | Class | org.apache.commons.math3.optimization.general | Apache Commons |
| NonLinearConjugateGradientOptimizer .BracketingStep | The initial step is a factor with respect to the search direction (which itself is roughly related to the gradient of the function). | Class | org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer | Apache Commons |
| NonLinearConjugateGradientOptimizer .Formula | Available choices of update formulas for the updating the parameter that is used to compute the successive conjugate search directions. | Class | org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer | Apache Commons |
| NonLinearConjugateGradientOptimizer .IdentityPreconditioner | Default identity preconditioner. | Class | org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer | Apache Commons |
| NonLinearConjugateGradientOptimizer .IdentityPreconditioner | Default identity preconditioner. | Class | org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer | Apache Commons |
| NonMonotonicSequenceException | Exception to be thrown when the a sequence of values is not monotonically increasing or decreasing. | Class | org.apache.commons.math3.exception | Apache Commons |
| NonNegativeConstraint | A constraint for a linear optimization problem indicating whether all variables must be restricted to non-negative values. | Class | org.apache.commons.math3.optim.linear | Apache Commons |
| NonPositiveDefiniteMatrixException | Exception to be thrown when a positive definite matrix is expected. | Class | org.apache.commons.math3.linear | Apache Commons |
| NonPositiveDefiniteOperatorException | Exception to be thrown when a symmetric, definite positive RealLinearOperator is expected. | Class | org.apache.commons.math3.linear | Apache Commons |
| NonSelfAdjointOperatorException | Exception to be thrown when a self-adjoint RealLinearOperator Since the coefficients of the matrix are not accessible, the most | Class | org.apache.commons.math3.linear | Apache Commons |
| NonSquareMatrixException | Exception to be thrown when a square matrix is expected. | Class | org.apache.commons.math3.linear | Apache Commons |
| NonSquareOperatorException | Exception to be thrown when a square linear operator is expected. | Class | org.apache.commons.math3.linear | Apache Commons |
| NonSymmetricMatrixException | Exception to be thrown when a symmetric matrix is expected. | Class | org.apache.commons.math3.linear | Apache Commons |
| NordsieckStepInterpolator | This class implements an interpolator for integrators using Nordsieck representation. | Class | org.apache.commons.math3.ode.sampling | Apache Commons |
| NormalApproximationInterval | Class | org.apache.commons.math3.stat.interval | Apache Commons | |
| NormalDistribution | See Also:Normal distribution (Wikipedia), Normal distribution (MathWorld), | Class | org.apache.commons.math3.distribution | Apache Commons |
| NormalizedRandomGenerator | This interface represent a normalized random generator for Normalized generator provide null mean and unit standard deviation scalars. | Interface | org.apache.commons.math3.random | Apache Commons |
| NotANumberException | Exception to be thrown when a number is not a number. | Class | org.apache.commons.math3.exception | Apache Commons |
| NotARotationMatrixException | This class represents exceptions thrown while building rotationsSince:1. | Class | org.apache.commons.math3.geometry.euclidean.threed | Apache Commons |
| NotFiniteNumberException | Exception to be thrown when a number is not finite. | Class | org.apache.commons.math3.exception | Apache Commons |
| NotPositiveException | Exception to be thrown when the argument is negative. | Class | org.apache.commons.math3.exception | Apache Commons |
| NotStrictlyPositiveException | Exception to be thrown when the argument is not greater than 0. | Class | org.apache.commons.math3.exception | Apache Commons |
| NPointCrossover | N-point crossover policy. | Class | org.apache.commons.math3.genetics | Apache Commons |
| NullArgumentException | All conditions checks that fail due to a null argument must throw This class is meant to signal a precondition violation (null is an illegal | Class | org.apache.commons.math3.exception | Apache Commons |
| NumberIsTooLargeException | Exception to be thrown when a number is too large. | Class | org.apache.commons.math3.exception | Apache Commons |
| NumberIsTooSmallException | Exception to be thrown when a number is too small. | Class | org.apache.commons.math3.exception | Apache Commons |
| NumberTransformer | Subclasses implementing this interface can transform Objects to doubles. | Interface | org.apache.commons.math3.util | Apache Commons |
| ObjectiveFunction | Scalar function to be optimized. | Class | org.apache.commons.math3.optim.nonlinear.scalar | Apache Commons |
| ObjectiveFunctionGradient | Gradient of the scalar function to be optimized. | Class | org.apache.commons.math3.optim.nonlinear.scalar | Apache Commons |
| ODEIntegrator | This interface defines the common parts shared by integrators for first and second order differential equations. | Interface | org.apache.commons.math3.ode | Apache Commons |
| OLSMultipleLinearRegression | multiple linear regression model. | Class | org.apache.commons.math3.stat.regression | Apache Commons |
| OnePointCrossover | One point crossover policy. | Class | org.apache.commons.math3.genetics | Apache Commons |
| OneWayAnova | Tests for differences between two or more categories of univariate data (for example, the body mass index of accountants, lawyers, doctors and | Class | org.apache.commons.math3.stat.inference | Apache Commons |
| OpenIntToDoubleHashMap | Open addressed map from int to double. | Class | org.apache.commons.math3.util | Apache Commons |
| OpenIntToFieldHashMap | Open addressed map from int to FieldElement. | Class | org.apache.commons.math3.util | Apache Commons |
| OpenMapRealMatrix | Sparse matrix implementation based on an open addressed map. | Class | org.apache.commons.math3.linear | Apache Commons |
| OpenMapRealVector | This class implements the RealVector interface with a OpenIntToDoubleHashMap backing store. | Class | org.apache.commons.math3.linear | Apache Commons |
| OptimizationData | Implementations will provide functionality (optional or required) needed by the optimizers, and those will need to check the actual type of the | Interface | org.apache.commons.math3.optim | Apache Commons |
| OptimizationData | Implementations will provide functionality (optional or required) needed by the optimizers, and those will need to check the actual type of the | Interface | org.apache.commons.math3.optimization | Apache Commons |
| OptimizationProblem | Common settings for all optimization problems. | Interface | org.apache.commons.math3.optim | Apache Commons |
| OrderedCrossover | Order 1 Crossover [OX1] builds offspring from ordered chromosomes by copying a consecutive slice from one parent, and filling up the remaining genes from the other | Class | org.apache.commons.math3.genetics | Apache Commons |
| OrderedTuple | This class implements an ordering operation for T-uples. | Class | org.apache.commons.math3.geometry.partitioning.utilities | Apache Commons |
| OrientedPoint | This class represents a 1D oriented hyperplane. | Class | org.apache.commons.math3.geometry.euclidean.oned | Apache Commons |
| OutlineExtractor | Extractor for polyhedrons sets outlines. | Class | org.apache.commons.math3.geometry.euclidean.threed | Apache Commons |
| OutOfRangeException | Exception to be thrown when some argument is out of range. | Class | org.apache.commons.math3.exception | Apache Commons |
| Pair | Although the instances of this class are immutable, it is impossible to ensure that the references passed to the constructor will not be | Class | org.apache.commons.math3.util | Apache Commons |
| Parameterizable | This interface enables to process any parameterizable object. | Interface | org.apache.commons.math3.ode | Apache Commons |
| ParameterizedODE | Interface to compute by finite difference Jacobian matrix for some parameter when computing partial derivatives equations. | Interface | org.apache.commons.math3.ode | Apache Commons |
| ParameterJacobianProvider | Interface to compute exactly Jacobian matrix for some parameter when computing partial derivatives equations. | Interface | org.apache.commons.math3.ode | Apache Commons |
| ParameterValidator | Interface for validating a set of model parameters. | Interface | org.apache.commons.math3.fitting.leastsquares | Apache Commons |
| ParametricUnivariateFunction | An interface representing a real function that depends on one independent variable plus some extra parameters. | Interface | org.apache.commons.math3.analysis | Apache Commons |
| ParetoDistribution | Class | org.apache.commons.math3.distribution | Apache Commons | |
| PascalDistribution | Implementation of the Pascal distribution. | Class | org.apache.commons.math3.distribution | Apache Commons |
| PearsonsCorrelation | Computes Pearson's product-moment correlation coefficients for pairs of arrays or columns of a matrix. | Class | org.apache.commons.math3.stat.correlation | Apache Commons |
| PegasusSolver | a zero of a univariate real function). | Class | org.apache.commons.math3.analysis.solvers | Apache Commons |
| Percentile | Provides percentile computation. | Class | org.apache.commons.math3.stat.descriptive.rank | Apache Commons |
| Percentile .EstimationType | An enum for various estimation strategies of a percentile referred in wikipedia on quantile | Class | org.apache.commons.math3.stat.descriptive.rank.Percentile | Apache Commons |
| PermutationChromosome | Interface indicating that the chromosome represents a permutation of objects. | Interface | org.apache.commons.math3.genetics | Apache Commons |
| PiecewiseBicubicSplineInterpolatingFunction | Function that implements the This implementation currently uses AkimaSplineInterpolator as the | Class | org.apache.commons.math3.analysis.interpolation | Apache Commons |
| PiecewiseBicubicSplineInterpolator | Generates a piecewise-bicubic interpolating function. | Class | org.apache.commons.math3.analysis.interpolation | Apache Commons |
| PivotingStrategyInterface | A strategy to pick a pivoting index of an array for doing partitioning. | Interface | org.apache.commons.math3.util | Apache Commons |
| PivotSelectionRule | enum PivotSelectionRulePivot selection rule to the use for a Simplex solver. | Class | org.apache.commons.math3.optim.linear | Apache Commons |
| Plane | The class represent planes in a three dimensional space. | Class | org.apache.commons.math3.geometry.euclidean.threed | Apache Commons |
| Point | This interface represents a generic geometrical point. | Interface | org.apache.commons.math3.geometry | Apache Commons |
| PointValuePair | This class holds a point and the value of an objective function atSince:3. | Class | org.apache.commons.math3.optim | Apache Commons |
| PointValuePair | This class holds a point and the value of an objective function atSince:3. | Class | org.apache.commons.math3.optimization | Apache Commons |
| PointVectorValuePair | This class holds a point and the vectorial value of an objective function atSince:3. | Class | org.apache.commons.math3.optim | Apache Commons |
| PointVectorValuePair | This class holds a point and the vectorial value of an objective function atSince:3. | Class | org.apache.commons.math3.optimization | Apache Commons |
| PoissonDistribution | See Also:Poisson distribution (Wikipedia), Poisson distribution (MathWorld), | Class | org.apache.commons.math3.distribution | Apache Commons |
| PolygonsSet | This class represents a 2D region: a set of polygons. | Class | org.apache.commons.math3.geometry.euclidean.twod | Apache Commons |
| PolyhedronsSet | This class represents a 3D region: a set of polyhedrons. | Class | org.apache.commons.math3.geometry.euclidean.threed | Apache Commons |
| PolynomialCurveFitter | Fits points to a polynomial The size of the initial guess array defines the | Class | org.apache.commons.math3.fitting | Apache Commons |
| PolynomialFitter | Polynomial fitting is a very simple case of curve fitting. | Class | org.apache.commons.math3.fitting | Apache Commons |
| PolynomialFitter | Polynomial fitting is a very simple case of curve fitting. | Class | org.apache.commons.math3.optimization.fitting | Apache Commons |
| PolynomialFunction | Immutable representation of a real polynomial function with real coefficients. | Class | org.apache.commons.math3.analysis.polynomials | Apache Commons |
| PolynomialFunction .Parametric | Dedicated parametric polynomial class. | Class | org.apache.commons.math3.analysis.polynomials.PolynomialFunction | Apache Commons |
| PolynomialFunctionLagrangeForm | Lagrange Form. | Class | org.apache.commons.math3.analysis.polynomials | Apache Commons |
| PolynomialFunctionNewtonForm | Newton Form. | Class | org.apache.commons.math3.analysis.polynomials | Apache Commons |
| PolynomialSolver | Interface for (polynomial) root-finding algorithms. | Interface | org.apache.commons.math3.analysis.solvers | Apache Commons |
| PolynomialSplineFunction | Represents a polynomial spline function. | Class | org.apache.commons.math3.analysis.polynomials | Apache Commons |
| PolynomialsUtils | A collection of static methods that operate on or return polynomials. | Class | org.apache.commons.math3.analysis.polynomials | Apache Commons |
| Population | A collection of chromosomes that facilitates generational evolution. | Interface | org.apache.commons.math3.genetics | Apache Commons |
| Pow | Class | org.apache.commons.math3.analysis.function | Apache Commons | |
| PowellOptimizer | This code is translated and adapted from the Python version of this algorithm (as implemented in module optimize. | Class | org.apache.commons.math3.optim.nonlinear.scalar.noderiv | Apache Commons |
| PowellOptimizer | This code is translated and adapted from the Python version of this algorithm (as implemented in module optimize. | Class | org.apache.commons.math3.optimization.direct | Apache Commons |
| Power | Class | org.apache.commons.math3.analysis.function | Apache Commons | |
| Precision | Utilities for comparing numbers. | Class | org.apache.commons.math3.util | Apache Commons |
| PreconditionedIterativeLinearSolver | This abstract class defines preconditioned iterative solvers. | Class | org.apache.commons.math3.linear | Apache Commons |
| Preconditioner | This interface represents a preconditioner for differentiable scalar objective function optimizers. | Interface | org.apache.commons.math3.optim.nonlinear.scalar.gradient | Apache Commons |
| Preconditioner | This interface represents a preconditioner for differentiable scalar objective function optimizers. | Interface | org.apache.commons.math3.optimization.general | Apache Commons |
| Primes | Methods related to prime numbers in the range of int: primality testprime number generationfactorization | Class | org.apache.commons.math3.primes | Apache Commons |
| ProcessModel | Defines the process dynamics model for the use with a KalmanFilter. | Interface | org.apache.commons.math3.filter | Apache Commons |
| Product | Returns the product of the available values. | Class | org.apache.commons.math3.stat.descriptive.summary | Apache Commons |
| ProperBigFractionFormat | Formats a BigFraction number in proper format. | Class | org.apache.commons.math3.fraction | Apache Commons |
| ProperFractionFormat | Formats a Fraction number in proper format. | Class | org.apache.commons.math3.fraction | Apache Commons |
| PSquarePercentile | A StorelessUnivariateStatistic estimating percentiles using the Algorithm as explained by Raj | Class | org.apache.commons.math3.stat.descriptive.rank | Apache Commons |
| PSquarePercentile .PSquareMarkers | An interface that encapsulates abstractions of the P-square algorithm markers as is explained in the original works. | Interface | org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile | Apache Commons |
| QRDecomposition | Calculates the QR-decomposition of a matrix. | Class | org.apache.commons.math3.linear | Apache Commons |
| QuantizationError | Computes the quantization error histogram. | Class | org.apache.commons.math3.ml.neuralnet.twod.util | Apache Commons |
| QuasiSigmoidDecayFunction | Decay function whose shape is similar to a sigmoid. | Class | org.apache.commons.math3.ml.neuralnet.sofm.util | Apache Commons |
| Quaternion | This class implements quaternions (Hamilton's hypercomplex numbers). | Class | org.apache.commons.math3.complex | Apache Commons |
| RandomAdaptor | Extension of java. | Class | org.apache.commons.math3.random | Apache Commons |
| RandomData | Random data generation utilities. | Interface | org.apache.commons.math3.random | Apache Commons |
| RandomDataGenerator | instance to generate non-secure data and a SecureRandom instance to provide data for the nextSecureXxx methods. | Class | org.apache.commons.math3.random | Apache Commons |
| RandomDataImpl | Generates random deviates and other random data using a RandomGenerator instance to generate non-secure data and a SecureRandom | Class | org.apache.commons.math3.random | Apache Commons |
| RandomGenerator | Interface extracted from java. | Interface | org.apache.commons.math3.random | Apache Commons |
| RandomGeneratorFactory | Utilities for creating RandomGenerator instances. | Class | org.apache.commons.math3.random | Apache Commons |
| RandomKey | Random Key chromosome is used for permutation representation. | Class | org.apache.commons.math3.genetics | Apache Commons |
| RandomKeyMutation | Mutation operator for RandomKeys. | Class | org.apache.commons.math3.genetics | Apache Commons |
| RandomPivotingStrategy | A strategy of selecting random index between begin and end indices. | Class | org.apache.commons.math3.util | Apache Commons |
| RandomVectorGenerator | This interface represents a random generator for whole vectors. | Interface | org.apache.commons.math3.random | Apache Commons |
| RankingAlgorithm | Interface representing a rank transformation. | Interface | org.apache.commons.math3.stat.ranking | Apache Commons |
| RealDistribution | Base interface for distributions on the reals. | Interface | org.apache.commons.math3.distribution | Apache Commons |
| RealFieldElement | Interface representing a realSince:3. | Interface | org.apache.commons.math3 | Apache Commons |
| RealFieldUnivariateFunction | An interface representing a univariate real function. | Interface | org.apache.commons.math3.analysis | Apache Commons |
| RealLinearOperator | This class defines a linear operator operating on real (double) vector spaces. | Class | org.apache.commons.math3.linear | Apache Commons |
| RealMatrix | Interface defining a real-valued matrix with basic algebraic operations. | Interface | org.apache.commons.math3.linear | Apache Commons |
| RealMatrixChangingVisitor | Interface defining a visitor for matrix entries. | Interface | org.apache.commons.math3.linear | Apache Commons |
| RealMatrixFormat | Formats a nxm matrix in components list format a11, . | Class | org.apache.commons.math3.linear | Apache Commons |
| RealMatrixPreservingVisitor | Interface defining a visitor for matrix entries. | Interface | org.apache.commons.math3.linear | Apache Commons |
| RealTransformer | Interface for one-dimensional data sets transformations producing real results. | Interface | org.apache.commons.math3.transform | Apache Commons |
| RealVector | Class defining a real-valued vector with basic algebraic operations. | Class | org.apache.commons.math3.linear | Apache Commons |
| RealVectorChangingVisitor | This interface defines a visitor for the entries of a vector. | Interface | org.apache.commons.math3.linear | Apache Commons |
| RealVectorFormat | Formats a vector in components list format {v0; v1; . | Class | org.apache.commons.math3.linear | Apache Commons |
| RealVectorPreservingVisitor | This interface defines a visitor for the entries of a vector. | Interface | org.apache.commons.math3.linear | Apache Commons |
| RectangularCholeskyDecomposition | Calculates the rectangular Cholesky decomposition of a matrix. | Class | org.apache.commons.math3.linear | Apache Commons |
| Region | This interface represents a region of a space as a partition. | Interface | org.apache.commons.math3.geometry.partitioning | Apache Commons |
| Region .Location | Code for points on the partition boundary. | Class | org.apache.commons.math3.geometry.partitioning.Region | Apache Commons |
| RegionFactory | This class is a factory for Region. | Class | org.apache.commons.math3.geometry.partitioning | Apache Commons |
| RegressionResults | Results of a Multiple Linear Regression model fit. | Class | org.apache.commons.math3.stat.regression | Apache Commons |
| RegulaFalsiSolver | root-finding (approximating a zero of a univariate real function). | Class | org.apache.commons.math3.analysis.solvers | Apache Commons |
| Relationship | Types of relationships between two cells in a Solver LinearConstraint. | Class | org.apache.commons.math3.optim.linear | Apache Commons |
| Relationship | Types of relationships between two cells in a Solver LinearConstraint. | Class | org.apache.commons.math3.optimization.linear | Apache Commons |
| ResizableDoubleArray | A variable length DoubleArray implementation that automatically handles expanding and contracting its internal storage array as elements | Class | org.apache.commons.math3.util | Apache Commons |
| ResizableDoubleArray .ExpansionMode | Specification of expansion algorithm. | Class | org.apache.commons.math3.util.ResizableDoubleArray | Apache Commons |
| RiddersSolver | Ridders' Method for root finding of real univariate functions. | Class | org.apache.commons.math3.analysis.solvers | Apache Commons |
| Rint | Class | org.apache.commons.math3.analysis.function | Apache Commons | |
| RombergIntegrator | Romberg Algorithm for integration of real univariate functions. | Class | org.apache.commons.math3.analysis.integration | Apache Commons |
| RootsOfUnity | A helper class for the computation and caching of the n-th roots ofSince:3. | Class | org.apache.commons.math3.complex | Apache Commons |
| Rotation | This class implements rotations in a three-dimensional space. | Class | org.apache.commons.math3.geometry.euclidean.threed | Apache Commons |
| RotationConvention | enum RotationConventionThis enumerates is used to differentiate the semantics of a rotation. | Class | org.apache.commons.math3.geometry.euclidean.threed | Apache Commons |
| RotationOrder | This class is a utility representing a rotation order specification for Cardan or Euler angles specification. | Class | org.apache.commons.math3.geometry.euclidean.threed | Apache Commons |
| RRQRDecomposition | Calculates the rank-revealing QR-decomposition of a matrix, with column pivoting. | Class | org.apache.commons.math3.linear | Apache Commons |
| RungeKuttaFieldIntegrator | This class implements the common part of all fixed step Runge-Kutta integrators for Ordinary Differential Equations. | Class | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| RungeKuttaIntegrator | This class implements the common part of all fixed step Runge-Kutta integrators for Ordinary Differential Equations. | Class | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| S1Point | This class represents a point on the 1-sphere. | Class | org.apache.commons.math3.geometry.spherical.oned | Apache Commons |
| S2Point | This class represents a point on the 2-sphere. | Class | org.apache.commons.math3.geometry.spherical.twod | Apache Commons |
| SearchInterval | Search interval and (optional) start value. | Class | org.apache.commons.math3.optim.univariate | Apache Commons |
| SecantSolver | zero of a univariate real function). | Class | org.apache.commons.math3.analysis.solvers | Apache Commons |
| SecondaryEquations | This interface allows users to add secondary differential equations to a primary set of differential equations. | Interface | org.apache.commons.math3.ode | Apache Commons |
| SecondMoment | Computes a statistic related to the Second Central Moment. | Class | org.apache.commons.math3.stat.descriptive.moment | Apache Commons |
| SecondOrderDifferentialEquations | This interface represents a second order differential equations set. | Interface | org.apache.commons.math3.ode | Apache Commons |
| SecondOrderIntegrator | This interface represents a second order integrator for differential equations. | Interface | org.apache.commons.math3.ode | Apache Commons |
| Segment | Simple container for a two-points segment. | Class | org.apache.commons.math3.geometry.euclidean.threed | Apache Commons |
| Segment | Simple container for a two-points segment. | Class | org.apache.commons.math3.geometry.euclidean.twod | Apache Commons |
| SelectionPolicy | Algorithm used to select a chromosome pair from a population. | Interface | org.apache.commons.math3.genetics | Apache Commons |
| SemiVariance | Computes the semivariance of a set of values with respect to a given cutoff value. | Class | org.apache.commons.math3.stat.descriptive.moment | Apache Commons |
| SemiVariance .Direction | The direction of the semivariance - either upside or downside. | Class | org.apache.commons.math3.stat.descriptive.moment.SemiVariance | Apache Commons |
| Side | Enumerate representing the location of an element with respect to an hyperplane of a space. | Class | org.apache.commons.math3.geometry.partitioning | Apache Commons |
| Sigmoid | It is the inverse of the logit function. | Class | org.apache.commons.math3.analysis.function | Apache Commons |
| Sigmoid .Parametric | Parametric function where the input array contains the parameters of the sigmoid function, ordered | Class | org.apache.commons.math3.analysis.function.Sigmoid | Apache Commons |
| Signum | Class | org.apache.commons.math3.analysis.function | Apache Commons | |
| SimpleBounds | Simple optimization constraints: lower and upper bounds. | Class | org.apache.commons.math3.optim | Apache Commons |
| SimpleBounds | Simple optimization constraints: lower and upper bounds. | Class | org.apache.commons.math3.optimization | Apache Commons |
| SimpleCurveFitter | Fits points to a user-defined function. | Class | org.apache.commons.math3.fitting | Apache Commons |
| SimplePointChecker | Simple implementation of the ConvergenceChecker interface using only point coordinates. | Class | org.apache.commons.math3.optim | Apache Commons |
| SimplePointChecker | Simple implementation of the ConvergenceChecker interface using only point coordinates. | Class | org.apache.commons.math3.optimization | Apache Commons |
| SimpleRegression | Estimates an ordinary least squares regression model with one independent variable. | Class | org.apache.commons.math3.stat.regression | Apache Commons |
| SimpleUnivariateValueChecker | Simple implementation of the ConvergenceChecker interface | Class | org.apache.commons.math3.optim.univariate | Apache Commons |
| SimpleUnivariateValueChecker | Simple implementation of the ConvergenceChecker interface | Class | org.apache.commons.math3.optimization.univariate | Apache Commons |
| SimpleValueChecker | Simple implementation of the ConvergenceChecker interface using only objective function values. | Class | org.apache.commons.math3.optim | Apache Commons |
| SimpleValueChecker | Simple implementation of the ConvergenceChecker interface using only objective function values. | Class | org.apache.commons.math3.optimization | Apache Commons |
| SimpleVectorValueChecker | Simple implementation of the ConvergenceChecker interface using only objective function values. | Class | org.apache.commons.math3.optim | Apache Commons |
| SimpleVectorValueChecker | Simple implementation of the ConvergenceChecker interface using only objective function values. | Class | org.apache.commons.math3.optimization | Apache Commons |
| SimplexOptimizer | This class implements simplex-based direct search optimization. | Class | org.apache.commons.math3.optim.nonlinear.scalar.noderiv | Apache Commons |
| SimplexOptimizer | This class implements simplex-based direct search optimization. | Class | org.apache.commons.math3.optimization.direct | Apache Commons |
| SimplexSolver | Solves a linear problem using the Two-Phase Simplex method. | Class | org.apache.commons.math3.optim.linear | Apache Commons |
| SimplexSolver | Solves a linear problem using the Two-Phase Simplex Method. | Class | org.apache.commons.math3.optimization.linear | Apache Commons |
| SimpsonIntegrator | Simpson's Rule for integration of real univariate functions. | Class | org.apache.commons.math3.analysis.integration | Apache Commons |
| Sin | Class | org.apache.commons.math3.analysis.function | Apache Commons | |
| Sinc | sinc(x) = 1 if x = 0, sin(x) / x otherwise. | Class | org.apache.commons.math3.analysis.function | Apache Commons |
| SingularMatrixException | Exception to be thrown when a non-singular matrix is expected. | Class | org.apache.commons.math3.linear | Apache Commons |
| SingularOperatorException | Exception to be thrown when trying to invert a singular operator. | Class | org.apache.commons.math3.linear | Apache Commons |
| SingularValueDecomposition | Calculates the compact Singular Value Decomposition of a matrix. | Class | org.apache.commons.math3.linear | Apache Commons |
| Sinh | Hyperbolic sine function. | Class | org.apache.commons.math3.analysis.function | Apache Commons |
| Skewness | Computes the skewness of the available values. | Class | org.apache.commons.math3.stat.descriptive.moment | Apache Commons |
| SmoothedDataHistogram | Visualization of high-dimensional data projection on a 2D-map. | Class | org.apache.commons.math3.ml.neuralnet.twod.util | Apache Commons |
| SmoothingPolynomialBicubicSplineInterpolator | Generates a bicubic interpolation function. | Class | org.apache.commons.math3.analysis.interpolation | Apache Commons |
| SobolSequenceGenerator | A Sobol sequence is a low-discrepancy sequence with the property that for all values of N, its subsequence (x1, . | Class | org.apache.commons.math3.random | Apache Commons |
| SolutionCallback | A callback object that can be provided to a linear optimizer to keep track of the best solution found. | Class | org.apache.commons.math3.optim.linear | Apache Commons |
| Space | This interface represents a generic space, with affine and vectorial counterparts. | Interface | org.apache.commons.math3.geometry | Apache Commons |
| SparseFieldMatrix | Sparse matrix implementation based on an open addressed map. | Class | org.apache.commons.math3.linear | Apache Commons |
| SparseFieldVector | This class implements the FieldVector interface with a OpenIntToFieldHashMap backing store. | Class | org.apache.commons.math3.linear | Apache Commons |
| SparseGradient | First derivative computation with large number of variables. | Class | org.apache.commons.math3.analysis.differentiation | Apache Commons |
| SparseRealMatrix | Marker interface for RealMatrix implementations that require sparse backing storage Caveat: Implementation are allowed to assume that, for any x, | Interface | org.apache.commons.math3.linear | Apache Commons |
| SparseRealVector | Marker class for RealVectors that require sparse backing storage Caveat: Implementation are allowed to assume that, for any x, | Class | org.apache.commons.math3.linear | Apache Commons |
| SpearmansCorrelation | Spearman's rank correlation. | Class | org.apache.commons.math3.stat.correlation | Apache Commons |
| Sphere1D | This class implements a one-dimensional sphere (i. | Class | org.apache.commons.math3.geometry.spherical.oned | Apache Commons |
| Sphere1D .NoSubSpaceException | Specialized exception for inexistent sub-space. | Class | org.apache.commons.math3.geometry.spherical.oned.Sphere1D | Apache Commons |
| Sphere2D | This class implements a two-dimensional sphere (i. | Class | org.apache.commons.math3.geometry.spherical.twod | Apache Commons |
| SphereGenerator | Class generating an enclosing ball from its support points. | Class | org.apache.commons.math3.geometry.euclidean.threed | Apache Commons |
| SphericalCoordinates | This class provides conversions related to spherical coordinates. | Class | org.apache.commons.math3.geometry.euclidean.threed | Apache Commons |
| SphericalPolygonsSet | This class represents a region on the 2-sphere: a set of spherical polygons. | Class | org.apache.commons.math3.geometry.spherical.twod | Apache Commons |
| SplineInterpolator | Computes a natural (also known as free, unclamped) cubic spline interpolation for the data set. | Class | org.apache.commons.math3.analysis.interpolation | Apache Commons |
| Sqrt | Square-root function. | Class | org.apache.commons.math3.analysis.function | Apache Commons |
| SquareNeighbourhood | enum SquareNeighbourhoodDefines neighbourhood types. | Class | org.apache.commons.math3.ml.neuralnet | Apache Commons |
| StableRandomGenerator | This class provides a stable normalized random generator. | Class | org.apache.commons.math3.random | Apache Commons |
| StandardDeviation | Computes the sample standard deviation. | Class | org.apache.commons.math3.stat.descriptive.moment | Apache Commons |
| StatisticalMultivariateSummary | Reporting interface for basic multivariate statistics. | Interface | org.apache.commons.math3.stat.descriptive | Apache Commons |
| StatisticalSummary | Reporting interface for basic univariate statistics. | Interface | org.apache.commons.math3.stat.descriptive | Apache Commons |
| StatisticalSummaryValues | Value object representing the results of a univariate statistical summary. | Class | org.apache.commons.math3.stat.descriptive | Apache Commons |
| StatUtils | StatUtils provides static methods for computing statistics based on data stored in double[] arrays. | Class | org.apache.commons.math3.stat | Apache Commons |
| StepFunction | Class | org.apache.commons.math3.analysis.function | Apache Commons | |
| StepHandler | This interface represents a handler that should be called after each successful step. | Interface | org.apache.commons.math3.ode.sampling | Apache Commons |
| StepInterpolator | This interface represents an interpolator over the last step during an ODE integration. | Interface | org.apache.commons.math3.ode.sampling | Apache Commons |
| StepNormalizer | This class wraps an object implementing FixedStepHandler into a StepHandler. | Class | org.apache.commons.math3.ode.sampling | Apache Commons |
| StepNormalizerBounds | enum StepNormalizerBoundsStep normalizer bounds settings. | Class | org.apache.commons.math3.ode.sampling | Apache Commons |
| StepNormalizerMode | enum StepNormalizerModeStep normalizer modes. | Class | org.apache.commons.math3.ode.sampling | Apache Commons |
| StoppingCondition | Algorithm used to determine when to stop evolution. | Interface | org.apache.commons.math3.genetics | Apache Commons |
| StorelessCovariance | Covariance implementation that does not require input data to be stored in memory. | Class | org.apache.commons.math3.stat.correlation | Apache Commons |
| StorelessUnivariateStatistic | increment(double) and incrementAll(double[]) methods for adding values and updating internal state. | Interface | org.apache.commons.math3.stat.descriptive | Apache Commons |
| SubCircle | This class represents a sub-hyperplane for Circle. | Class | org.apache.commons.math3.geometry.spherical.twod | Apache Commons |
| SubHyperplane | This interface represents the remaining parts of an hyperplane after other parts have been chopped off. | Interface | org.apache.commons.math3.geometry.partitioning | Apache Commons |
| SubHyperplane .SplitSubHyperplane | Class | org.apache.commons.math3.geometry.partitioning.SubHyperplane | Apache Commons | |
| SubLimitAngle | This class represents sub-hyperplane for LimitAngle. | Class | org.apache.commons.math3.geometry.spherical.oned | Apache Commons |
| SubLine | This class represents a subset of a Line. | Class | org.apache.commons.math3.geometry.euclidean.threed | Apache Commons |
| SubLine | This class represents a sub-hyperplane for Line. | Class | org.apache.commons.math3.geometry.euclidean.twod | Apache Commons |
| SubOrientedPoint | This class represents sub-hyperplane for OrientedPoint. | Class | org.apache.commons.math3.geometry.euclidean.oned | Apache Commons |
| SubPlane | This class represents a sub-hyperplane for Plane. | Class | org.apache.commons.math3.geometry.euclidean.threed | Apache Commons |
| Subtract | Subtract the second operand from the first. | Class | org.apache.commons.math3.analysis.function | Apache Commons |
| Sum | Returns the sum of the available values. | Class | org.apache.commons.math3.stat.descriptive.summary | Apache Commons |
| SummaryStatistics | Computes summary statistics for a stream of data values added using the addValue method. | Class | org.apache.commons.math3.stat.descriptive | Apache Commons |
| SumOfClusterVariances | Computes the sum of intra-cluster distance variances according to the formula: \( score = \sum\limits_{i=1}^n \sigma_i^2 \) | Class | org.apache.commons.math3.ml.clustering.evaluation | Apache Commons |
| SumOfLogs | Returns the sum of the natural logs for this collection of values. | Class | org.apache.commons.math3.stat.descriptive.summary | Apache Commons |
| SumOfSquares | Returns the sum of the squares of the available values. | Class | org.apache.commons.math3.stat.descriptive.summary | Apache Commons |
| SupportBallGenerator | Interface for generating balls based on support points. | Interface | org.apache.commons.math3.geometry.enclosing | Apache Commons |
| SymmetricGaussIntegrator | This class's implements integrate method assuming that the integral is symmetric about 0. | Class | org.apache.commons.math3.analysis.integration.gauss | Apache Commons |
| SymmLQ | Implementation of the SYMMLQ iterative linear solver proposed by Paige and Saunders (1975). | Class | org.apache.commons.math3.linear | Apache Commons |
| SynchronizedDescriptiveStatistics | DescriptiveStatistics that is safe to use in a multithreaded environment. | Class | org.apache.commons.math3.stat.descriptive | Apache Commons |
| SynchronizedMultivariateSummaryStatistics | MultivariateSummaryStatistics that is safe to use in a multithreaded environment. | Class | org.apache.commons.math3.stat.descriptive | Apache Commons |
| SynchronizedRandomGenerator | Any RandomGenerator implementation can be thread-safe if it is used through an instance of this class. | Class | org.apache.commons.math3.random | Apache Commons |
| SynchronizedSummaryStatistics | SummaryStatistics that is safe to use in a multithreaded environment. | Class | org.apache.commons.math3.stat.descriptive | Apache Commons |
| Tan | Class | org.apache.commons.math3.analysis.function | Apache Commons | |
| Tanh | Hyperbolic tangent function. | Class | org.apache.commons.math3.analysis.function | Apache Commons |
| Target | Target of the optimization procedure. | Class | org.apache.commons.math3.optim.nonlinear.vector | Apache Commons |
| Target | Target of the optimization procedure. | Class | org.apache.commons.math3.optimization | Apache Commons |
| TDistribution | See Also:Student's t-distribution (Wikipedia), Student's t-distribution (MathWorld), | Class | org.apache.commons.math3.distribution | Apache Commons |
| TestUtils | A collection of static methods to create inference test instances or to perform inference tests. | Class | org.apache.commons.math3.stat.inference | Apache Commons |
| ThreeEighthesFieldIntegrator | This class implements the 3/8 fourth order Runge-Kutta integrator for Ordinary Differential Equations. | Class | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| ThreeEighthesIntegrator | This class implements the 3/8 fourth order Runge-Kutta integrator for Ordinary Differential Equations. | Class | org.apache.commons.math3.ode.nonstiff | Apache Commons |
| TiesStrategy | Strategies for handling tied values in rank transformations. | Class | org.apache.commons.math3.stat.ranking | Apache Commons |
| TooManyEvaluationsException | Exception to be thrown when the maximal number of evaluations is exceeded. | Class | org.apache.commons.math3.exception | Apache Commons |
| TooManyIterationsException | Exception to be thrown when the maximal number of iterations is exceeded. | Class | org.apache.commons.math3.exception | Apache Commons |
| TopographicErrorHistogram | Computes the topographic error histogram. | Class | org.apache.commons.math3.ml.neuralnet.twod.util | Apache Commons |
| TournamentSelection | Tournament selection scheme. | Class | org.apache.commons.math3.genetics | Apache Commons |
| Transform | This interface represents an inversible affine transform in a space. | Interface | org.apache.commons.math3.geometry.partitioning | Apache Commons |
| TransformerMap | This TansformerMap automates the transformation of mixed object types. | Class | org.apache.commons.math3.util | Apache Commons |
| TransformType | This enumeration defines the type of transform which is to be computed. | Class | org.apache.commons.math3.transform | Apache Commons |
| TransformUtils | Useful functions for the implementation of various transforms. | Class | org.apache.commons.math3.transform | Apache Commons |
| TrapezoidIntegrator | Trapezoid Rule for integration of real univariate functions. | Class | org.apache.commons.math3.analysis.integration | Apache Commons |
| TriangularDistribution | Class | org.apache.commons.math3.distribution | Apache Commons | |
| TricubicInterpolatingFunction | Function that implements the tricubic spline interpolation, as proposed in | Class | org.apache.commons.math3.analysis.interpolation | Apache Commons |
| TricubicInterpolator | Generates a tricubic interpolating function. | Class | org.apache.commons.math3.analysis.interpolation | Apache Commons |
| TricubicSplineInterpolatingFunction | Function that implements the tricubic spline interpolation, as proposed in | Class | org.apache.commons.math3.analysis.interpolation | Apache Commons |
| TricubicSplineInterpolator | Generates a tricubic interpolating function. | Class | org.apache.commons.math3.analysis.interpolation | Apache Commons |
| TrivariateFunction | An interface representing a trivariate real function. | Interface | org.apache.commons.math3.analysis | Apache Commons |
| TrivariateGridInterpolator | Interface representing a trivariate real interpolating function where the sample points must be specified on a regular grid. | Interface | org.apache.commons.math3.analysis.interpolation | Apache Commons |
| TTest | An implementation for Student's t-tests. | Class | org.apache.commons.math3.stat.inference | Apache Commons |
| Ulp | Class | org.apache.commons.math3.analysis.function | Apache Commons | |
| UnboundedSolutionException | This class represents exceptions thrown by optimizers when a solution escapes to infinity. | Class | org.apache.commons.math3.optim.linear | Apache Commons |
| UnboundedSolutionException | This class represents exceptions thrown by optimizers when a solution escapes to infinity. | Class | org.apache.commons.math3.optimization.linear | Apache Commons |
| UncorrelatedRandomVectorGenerator | A RandomVectorGenerator that generates vectors with uncorrelated components. | Class | org.apache.commons.math3.random | Apache Commons |
| UnifiedDistanceMatrix | visualization of high-dimensional data projection. | Class | org.apache.commons.math3.ml.neuralnet.twod.util | Apache Commons |
| UniformCrossover | Perform Uniform Crossover [UX] on the specified chromosomes. | Class | org.apache.commons.math3.genetics | Apache Commons |
| UniformIntegerDistribution | Class | org.apache.commons.math3.distribution | Apache Commons | |
| UniformRandomGenerator | This class implements a normalized uniform random generator. | Class | org.apache.commons.math3.random | Apache Commons |
| UniformRealDistribution | Class | org.apache.commons.math3.distribution | Apache Commons | |
| UnitSphereRandomVectorGenerator | Generate random vectors isotropically located on the surface of a sphere. | Class | org.apache.commons.math3.random | Apache Commons |
| UnivariateDfpFunction | An interface representing a univariate Dfp function. | Interface | org.apache.commons.math3.dfp | Apache Commons |
| UnivariateDifferentiableFunction | Interface for univariate functions derivatives. | Interface | org.apache.commons.math3.analysis.differentiation | Apache Commons |
| UnivariateDifferentiableMatrixFunction | Extension of UnivariateMatrixFunction representing a univariate differentiable matrix function. | Interface | org.apache.commons.math3.analysis.differentiation | Apache Commons |
| UnivariateDifferentiableSolver | Interface for (univariate real) rootfinding algorithms. | Interface | org.apache.commons.math3.analysis.solvers | Apache Commons |
| UnivariateDifferentiableVectorFunction | Extension of UnivariateVectorFunction representing a univariate differentiable vectorial function. | Interface | org.apache.commons.math3.analysis.differentiation | Apache Commons |
| UnivariateFunction | An interface representing a univariate real function. | Interface | org.apache.commons.math3.analysis | Apache Commons |
| UnivariateFunctionDifferentiator | Interface defining the function differentiation operation. | Interface | org.apache.commons.math3.analysis.differentiation | Apache Commons |
| UnivariateIntegrator | Interface for univariate real integration algorithms. | Interface | org.apache.commons.math3.analysis.integration | Apache Commons |
| UnivariateInterpolator | Interface representing a univariate real interpolating function. | Interface | org.apache.commons.math3.analysis.interpolation | Apache Commons |
| UnivariateMatrixFunction | An interface representing a univariate matrix function. | Interface | org.apache.commons.math3.analysis | Apache Commons |
| UnivariateMatrixFunctionDifferentiator | Interface defining the function differentiation operation. | Interface | org.apache.commons.math3.analysis.differentiation | Apache Commons |
| UnivariateMultiStartOptimizer | Special implementation of the UnivariateOptimizer interface adding multi-start features to an existing optimizer. | Class | org.apache.commons.math3.optimization.univariate | Apache Commons |
| UnivariateObjectiveFunction | Scalar function to be optimized. | Class | org.apache.commons.math3.optim.univariate | Apache Commons |
| UnivariateOptimizer | Base class for a univariate scalar function optimizer. | Class | org.apache.commons.math3.optim.univariate | Apache Commons |
| UnivariateOptimizer | Interface for univariate optimization algorithms. | Interface | org.apache.commons.math3.optimization.univariate | Apache Commons |
| UnivariatePeriodicInterpolator | Adapter for classes implementing the UnivariateInterpolator The data to be interpolated is assumed to be periodic. | Class | org.apache.commons.math3.analysis.interpolation | Apache Commons |
| UnivariatePointValuePair | This class holds a point and the value of an objective function at this This is a simple immutable container. | Class | org.apache.commons.math3.optim.univariate | Apache Commons |
| UnivariatePointValuePair | This class holds a point and the value of an objective function at this This is a simple immutable container. | Class | org.apache.commons.math3.optimization.univariate | Apache Commons |
| UnivariateSolver | Interface for (univariate real) root-finding algorithms. | Interface | org.apache.commons.math3.analysis.solvers | Apache Commons |
| UnivariateSolverUtils | Utility routines for UnivariateSolver objects. | Class | org.apache.commons.math3.analysis.solvers | Apache Commons |
| UnivariateStatistic | Base interface implemented by all statistics. | Interface | org.apache.commons.math3.stat.descriptive | Apache Commons |
| UnivariateVectorFunction | An interface representing a univariate vectorial function. | Interface | org.apache.commons.math3.analysis | Apache Commons |
| UnivariateVectorFunctionDifferentiator | Interface defining the function differentiation operation. | Interface | org.apache.commons.math3.analysis.differentiation | Apache Commons |
| UnknownParameterException | Exception to be thrown when a parameter is unknown. | Class | org.apache.commons.math3.ode | Apache Commons |
| UpdateAction | Interface | org.apache.commons.math3.ml.neuralnet | Apache Commons | |
| UpdatingMultipleLinearRegression | An interface for regression models allowing for dynamic updating of the data. | Interface | org.apache.commons.math3.stat.regression | Apache Commons |
| ValueAndJacobianFunction | A interface for functions that compute a vector of values and can compute their derivatives (Jacobian). | Interface | org.apache.commons.math3.fitting.leastsquares | Apache Commons |
| ValueServer | Generates values for use in simulation applications. | Class | org.apache.commons.math3.random | Apache Commons |
| Variance | Computes the variance of the available values. | Class | org.apache.commons.math3.stat.descriptive.moment | Apache Commons |
| Vector | This interface represents a generic vector in a vectorial space or a point in an affine space. | Interface | org.apache.commons.math3.geometry | Apache Commons |
| Vector1D | This class represents a 1D vector. | Class | org.apache.commons.math3.geometry.euclidean.oned | Apache Commons |
| Vector1DFormat | Formats a 1D vector in components list format {x}. | Class | org.apache.commons.math3.geometry.euclidean.oned | Apache Commons |
| Vector2D | This class represents a 2D vector. | Class | org.apache.commons.math3.geometry.euclidean.twod | Apache Commons |
| Vector2DFormat | Formats a 2D vector in components list format {x; y}. | Class | org.apache.commons.math3.geometry.euclidean.twod | Apache Commons |
| Vector3D | This class implements vectors in a three-dimensional space. | Class | org.apache.commons.math3.geometry.euclidean.threed | Apache Commons |
| Vector3DFormat | Formats a 3D vector in components list format {x; y; z}. | Class | org.apache.commons.math3.geometry.euclidean.threed | Apache Commons |
| VectorFormat | Formats a vector in components list format {x; y; . | Class | org.apache.commons.math3.geometry | Apache Commons |
| VectorialCovariance | Returns the covariance matrix of the available vectors. | Class | org.apache.commons.math3.stat.descriptive.moment | Apache Commons |
| VectorialMean | Returns the arithmetic mean of the available vectors. | Class | org.apache.commons.math3.stat.descriptive.moment | Apache Commons |
| Vertex | Spherical polygons boundary vertex. | Class | org.apache.commons.math3.geometry.spherical.twod | Apache Commons |
| WeibullDistribution | two parameter form of the distribution defined by Weibull Distribution, equations (1) and (2). | Class | org.apache.commons.math3.distribution | Apache Commons |
| Weight | Weight matrix of the residuals between model and observations. | Class | org.apache.commons.math3.optim.nonlinear.vector | Apache Commons |
| Weight | Weight matrix of the residuals between model and observations. | Class | org.apache.commons.math3.optimization | Apache Commons |
| WeightedEvaluation | Weighted evaluation for statistics. | Interface | org.apache.commons.math3.stat.descriptive | Apache Commons |
| WeightedObservedPoint | This class is a simple container for weighted observed point in Instances of this class are guaranteed to be immutable. | Class | org.apache.commons.math3.fitting | Apache Commons |
| WeightedObservedPoint | This class is a simple container for weighted observed point in Instances of this class are guaranteed to be immutable. | Class | org.apache.commons.math3.optimization.fitting | Apache Commons |
| WeightedObservedPoints | Simple container for weighted observed points used in curve fitting algorithms. | Class | org.apache.commons.math3.fitting | Apache Commons |
| Well1024a | Class | org.apache.commons.math3.random | Apache Commons | |
| Well19937a | Class | org.apache.commons.math3.random | Apache Commons | |
| Well19937c | Class | org.apache.commons.math3.random | Apache Commons | |
| Well44497a | Class | org.apache.commons.math3.random | Apache Commons | |
| Well44497b | Class | org.apache.commons.math3.random | Apache Commons | |
| Well512a | Class | org.apache.commons.math3.random | Apache Commons | |
| WelzlEncloser | Class implementing Emo Welzl algorithm to find the smallest enclosing ball in linear time. | Class | org.apache.commons.math3.geometry.enclosing | Apache Commons |
| WilcoxonSignedRankTest | An implementation of the Wilcoxon signed-rank test. | Class | org.apache.commons.math3.stat.inference | Apache Commons |
| WilsonScoreInterval | Class | org.apache.commons.math3.stat.interval | Apache Commons | |
| ZeroException | Exception to be thrown when zero is provided where it is not allowed. | Class | org.apache.commons.math3.exception | Apache Commons |
| ZipfDistribution | For a random variable X whose values are distributed according to this distribution, the probability mass function is given by | Class | org.apache.commons.math3.distribution | Apache Commons |