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