All Classes

Class	Description
Abs	Absolute value function.
AbstractConvergenceChecker<PAIR>	Base class for all convergence checker implementations.
AbstractCurveFitter	Base class that contains common code for fitting parametric univariate real functions y = f(pi;x), where x is the independent variable and the pi are the parameters.
AbstractCurveFitter.TheoreticalValuesFunction	Vector function for computing function theoretical values.
AbstractEvaluation	An implementation of LeastSquaresProblem.Evaluation that is designed for extension.
AbstractFieldIntegrator<T extends RealFieldElement<T>>	Base class managing common boilerplate for all integrators.
AbstractFieldMatrix<T extends FieldElement<T>>	Basic implementation of FieldMatrix methods regardless of the underlying storage.
AbstractFieldStepInterpolator<T extends RealFieldElement<T>>	This abstract class represents an interpolator over the last step during an ODE integration.
AbstractIntegerDistribution	Base class for integer-valued discrete distributions.
AbstractIntegrator	Base class managing common boilerplate for all integrators.
AbstractListChromosome<T>	Chromosome represented by an immutable list of a fixed length.
AbstractMultipleLinearRegression	Abstract base class for implementations of MultipleLinearRegression.
AbstractMultivariateRealDistribution	Base class for multivariate probability distributions.
AbstractOptimizationProblem<PAIR>	Base class for implementing optimization problems.
AbstractParameterizable	This abstract class provides boilerplate parameters list.
AbstractPolynomialSolver	Base class for solvers.
AbstractRealDistribution	Base class for probability distributions on the reals.
AbstractRealMatrix	Basic implementation of RealMatrix methods regardless of the underlying storage.
AbstractStepInterpolator	This abstract class represents an interpolator over the last step during an ODE integration.
AbstractStorelessUnivariateStatistic	Abstract base class for implementations of the StorelessUnivariateStatistic interface.
AbstractUnivariateDifferentiableSolver	Provide a default implementation for several functions useful to generic solvers.
AbstractUnivariateSolver	Base class for solvers.
AbstractUnivariateStatistic	Abstract base class for implementations of the UnivariateStatistic interface.
Acos	Arc-cosine function.
Acosh	Hyperbolic arc-cosine function.
Action	Enumerate for actions to be performed when an event occurs during ODE integration.
AdamsBashforthFieldIntegrator<T extends RealFieldElement<T>>	This class implements explicit Adams-Bashforth integrators for Ordinary Differential Equations.
AdamsBashforthIntegrator	This class implements explicit Adams-Bashforth integrators for Ordinary Differential Equations.
AdamsFieldIntegrator<T extends RealFieldElement<T>>	Base class for Adams-Bashforth and Adams-Moulton integrators.
AdamsIntegrator	Base class for Adams-Bashforth and Adams-Moulton integrators.
AdamsMoultonFieldIntegrator<T extends RealFieldElement<T>>	This class implements implicit Adams-Moulton integrators for Ordinary Differential Equations.
AdamsMoultonIntegrator	This class implements implicit Adams-Moulton integrators for Ordinary Differential Equations.
AdamsNordsieckFieldTransformer<T extends RealFieldElement<T>>	Transformer to Nordsieck vectors for Adams integrators.
AdamsNordsieckTransformer	Transformer to Nordsieck vectors for Adams integrators.
AdaptiveStepsizeFieldIntegrator<T extends RealFieldElement<T>>	This abstract class holds the common part of all adaptive stepsize integrators for Ordinary Differential Equations.
AdaptiveStepsizeIntegrator	This abstract class holds the common part of all adaptive stepsize integrators for Ordinary Differential Equations.
Add	Add the two operands.
AggregateSummaryStatistics	An aggregator for SummaryStatistics from several data sets or data set partitions.
AgrestiCoullInterval	Implements the Agresti-Coull method for creating a binomial proportion confidence interval.
AkimaSplineInterpolator	Computes a cubic spline interpolation for the data set using the Akima algorithm, as originally formulated by Hiroshi Akima in his 1970 paper "A New Method of Interpolation and Smooth Curve Fitting Based on Local Procedures." J.
AllowedSolution	The kinds of solutions that a (bracketed univariate real) root-finding algorithm may accept as solutions.
AlternativeHypothesis	Represents an alternative hypothesis for a hypothesis test.
AnyMatrix	Interface defining very basic matrix operations.
Array2DRowFieldMatrix<T extends FieldElement<T>>	Implementation of FieldMatrix<T> using a FieldElement[][] array to store entries.
Array2DRowRealMatrix	Implementation of RealMatrix using a double[][] array to store entries.
ArrayFieldVector<T extends FieldElement<T>>	This class implements the FieldVector interface with a FieldElement array.
ArrayRealVector	This class implements the RealVector interface with a double array.
Asin	Arc-sine function.
Asinh	Hyperbolic arc-sine function.
Atan	Arc-tangent function.
Atan2	Arc-tangent function.
Atanh	Hyperbolic arc-tangent function.
BaseAbstractUnivariateIntegrator	Provide a default implementation for several generic functions.
BaseAbstractUnivariateSolver<FUNC extends UnivariateFunction>	Provide a default implementation for several functions useful to generic solvers.
BaseMultiStartMultivariateOptimizer<PAIR>	Base class multi-start optimizer for a multivariate function.
BaseMultivariateOptimizer<PAIR>	Base class for implementing optimizers for multivariate functions.
BaseOptimizer<PAIR>	Base class for implementing optimizers.
BaseRuleFactory<T extends Number>	Base class for rules that determines the integration nodes and their weights.
BaseSecantSolver	Base class for all bracketing Secant-based methods for root-finding (approximating a zero of a univariate real function).
BaseSecantSolver.Method	Secant-based root-finding methods.
BaseUnivariateSolver<FUNC extends UnivariateFunction>	Interface for (univariate real) rootfinding algorithms.
BesselJ	This class provides computation methods related to Bessel functions of the first kind.
BesselJ.BesselJResult	Encapsulates the results returned by BesselJ.rjBesl(double, double, int).
BicubicInterpolatingFunction	Function that implements the bicubic spline interpolation.
BicubicInterpolator	Generates a bicubic interpolating function.
BigReal	Arbitrary precision decimal number.
BigRealField	Representation of real numbers with arbitrary precision field.
BinaryChromosome	Chromosome represented by a vector of 0s and 1s.
BinaryMutation	Mutation for BinaryChromosomes.
BinomialConfidenceInterval	Interface to generate confidence intervals for a binomial proportion.
BinomialTest	Implements binomial test statistics.
BisectionSolver	Implements the bisection algorithm for finding zeros of univariate real functions.
BivariateFunction	An interface representing a bivariate real function.
BivariateGridInterpolator	Interface representing a bivariate real interpolating function where the sample points must be specified on a regular grid.
BlockFieldMatrix<T extends FieldElement<T>>	Cache-friendly implementation of FieldMatrix using a flat arrays to store square blocks of the matrix.
BlockRealMatrix	Cache-friendly implementation of RealMatrix using a flat arrays to store square blocks of the matrix.
BOBYQAOptimizer	Powell's BOBYQA algorithm.
BracketedRealFieldUnivariateSolver<T extends RealFieldElement<T>>	Interface for (univariate real) root-finding algorithms that maintain a bracketed solution.
BracketedUnivariateSolver<FUNC extends UnivariateFunction>	Interface for (univariate real) root-finding algorithms that maintain a bracketed solution.
BracketFinder	Provide an interval that brackets a local optimum of a function.
BracketingNthOrderBrentSolver	This class implements a modification of the Brent algorithm.
BrentOptimizer	For a function defined on some interval (lo, hi), this class finds an approximation x to the point at which the function attains its minimum.
BrentSolver	This class implements the Brent algorithm for finding zeros of real univariate functions.
CalinskiHarabasz	Compute the Calinski and Harabasz score.
CanberraDistance	Calculates the Canberra distance between two points.
Cbrt	Cube root function.
Ceil	ceil function.
CentralPivotingStrategy	A mid point strategy based on the average of begin and end indices.
CentroidCluster<T extends Clusterable>	A Cluster used by centroid-based clustering algorithms.
ChebyshevDistance	Calculates the L∞ (max of abs) distance between two points.
ChiSquareTest	Implements Chi-Square test statistics.
CholeskyDecomposition	Calculates the Cholesky decomposition of a matrix.
Chromosome	Individual in a population.
ChromosomePair	A pair of Chromosome objects.
ClampedSplineInterpolator	Computes a clamped cubic spline interpolation for the data set.
ClassicalRungeKuttaFieldIntegrator<T extends RealFieldElement<T>>	This class implements the classical fourth order Runge-Kutta integrator for Ordinary Differential Equations (it is the most often used Runge-Kutta method).
ClassicalRungeKuttaIntegrator	This class implements the classical fourth order Runge-Kutta integrator for Ordinary Differential Equations (it is the most often used Runge-Kutta method).
ClopperPearsonInterval	Implements the Clopper-Pearson method for creating a binomial proportion confidence interval.
Cluster<T extends Clusterable>	Cluster holding a set of Clusterable points.
Clusterable	Interface for n-dimensional points that can be clustered together.
Clusterer<T extends Clusterable>	Base class for clustering algorithms.
ClusterEvaluator	Defines a measure of the quality of clusters.
ClusterRanking	Evaluates the quality of a set of clusters.
CMAESOptimizer	An implementation of the active Covariance Matrix Adaptation Evolution Strategy (CMA-ES) for non-linear, non-convex, non-smooth, global function minimization.
ComplexFormat	Formats a Complex number in cartesian format "Re(c) + Im(c)i".
CompositeFormat	Base class for formatters of composite objects (complex numbers, vectors ...).
ConfidenceInterval	Represents an interval estimate of a population parameter.
ConjugateGradient	This is an implementation of the conjugate gradient method for RealLinearOperator.
Constant	Constant function.
ContinuousOutputFieldModel<T extends RealFieldElement<T>>	This class stores all information provided by an ODE integrator during the integration process and build a continuous model of the solution from this.
ContinuousOutputModel	This class stores all information provided by an ODE integrator during the integration process and build a continuous model of the solution from this.
ConvergenceChecker<PAIR>	This interface specifies how to check if an optimization algorithm has converged.
CorrelatedVectorFactory	Generates vectors with with correlated components.
Cos	Cosine function.
Cosh	Hyperbolic cosine function.
Covariance	Computes covariances for pairs of arrays or columns of a matrix.
CrossoverPolicy	Policy used to create a pair of new chromosomes by performing a crossover operation on a source pair of chromosomes.
CycleCrossover<T>	Cycle Crossover [CX] builds offspring from ordered chromosomes by identifying cycles between two parent chromosomes.
DBSCANClusterer<T extends Clusterable>	DBSCAN (density-based spatial clustering of applications with noise) algorithm.
DecompositionSolver	Interface handling decomposition algorithms that can solve A × X = B.
DefaultFieldMatrixChangingVisitor<T extends FieldElement<T>>	Default implementation of the FieldMatrixChangingVisitor interface.
DefaultFieldMatrixPreservingVisitor<T extends FieldElement<T>>	Default implementation of the FieldMatrixPreservingVisitor interface.
DefaultIterativeLinearSolverEvent	A default concrete implementation of the abstract class IterativeLinearSolverEvent.
DefaultMeasurementModel	Default implementation of a MeasurementModel for the use with a KalmanFilter.
DefaultProcessModel	Default implementation of a ProcessModel for the use with a KalmanFilter.
DefaultRealMatrixChangingVisitor	Default implementation of the RealMatrixChangingVisitor interface.
DefaultRealMatrixPreservingVisitor	Default implementation of the RealMatrixPreservingVisitor interface.
DerivativeStructure	Class representing both the value and the differentials of a function.
DescriptiveStatistics	Maintains a dataset of values of a single variable and computes descriptive statistics based on stored data.
DiagonalMatrix	Implementation of a diagonal matrix.
DifferentiatorVectorMultivariateJacobianFunction	A MultivariateJacobianFunction (a thing that requires a derivative) combined with the thing that can find derivatives.
DistanceMeasure	Interface for distance measures of n-dimensional vectors.
Divide	Divide the first operand by the second.
DividedDifferenceInterpolator	Implements the Divided Difference Algorithm for interpolation of real univariate functions.
DormandPrince54FieldIntegrator<T extends RealFieldElement<T>>	This class implements the 5(4) Dormand-Prince integrator for Ordinary Differential Equations.
DormandPrince54Integrator	This class implements the 5(4) Dormand-Prince integrator for Ordinary Differential Equations.
DormandPrince853FieldIntegrator<T extends RealFieldElement<T>>	This class implements the 8(5,3) Dormand-Prince integrator for Ordinary Differential Equations.
DormandPrince853Integrator	This class implements the 8(5,3) Dormand-Prince integrator for Ordinary Differential Equations.
DoublePoint	A simple implementation of Clusterable for points with double coordinates.
DSCompiler	Class holding "compiled" computation rules for derivative structures.
DummyStepHandler	This class is a step handler that does nothing.
EarthMoversDistance	Calculates the Earh Mover's distance (also known as Wasserstein metric) between two distributions.
EigenDecomposition	Calculates the eigen decomposition of a real matrix.
ElitisticListPopulation	Population of chromosomes which uses elitism (certain percentage of the best chromosomes is directly copied to the next generation).
ElkanKMeansPlusPlusClusterer<T extends Clusterable>	Implementation of k-means++ algorithm.
EmbeddedRungeKuttaFieldIntegrator<T extends RealFieldElement<T>>	This class implements the common part of all embedded Runge-Kutta integrators for Ordinary Differential Equations.
EmbeddedRungeKuttaIntegrator	This class implements the common part of all embedded Runge-Kutta integrators for Ordinary Differential Equations.
EmpiricalDistribution	Represents an empirical probability distribution: Probability distribution derived from observed data without making any assumptions about the functional form of the population distribution that the data come from.
EnumeratedDistribution<T>	A generic implementation of a discrete probability distribution (Wikipedia) over a finite sample space, based on an enumerated list of <value, probability> pairs.
EnumeratedIntegerDistribution	Implementation of an integer-valued EnumeratedDistribution.
EnumeratedRealDistribution	Implementation of a real-valued EnumeratedDistribution.
EquationsMapper	Class mapping the part of a complete state or derivative that pertains to a specific differential equation.
EuclideanDistance	Calculates the L2 (Euclidean) distance between two points.
EulerFieldIntegrator<T extends RealFieldElement<T>>	This class implements a simple Euler integrator for Ordinary Differential Equations.
EulerIntegrator	This class implements a simple Euler integrator for Ordinary Differential Equations.
EvaluationRmsChecker	Check if an optimization has converged based on the change in computed RMS.
EventFilter	Wrapper used to detect only increasing or decreasing events.
EventHandler	This interface represents a handler for discrete events triggered during ODE integration.
EventHandler.Action	Enumerate for actions to be performed when an event occurs.
EventState	This class handles the state for one event handler during integration steps.
Exp	Exponential function.
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 equations.
Expm1	ex-1 function.
FieldBracketingNthOrderBrentSolver<T extends RealFieldElement<T>>	This class implements a modification of the Brent algorithm.
FieldButcherArrayProvider<T extends RealFieldElement<T>>	This interface represents an integrator based on Butcher arrays.
FieldDecompositionSolver<T>	Interface handling decomposition algorithms that can solve A X = B.
FieldDecompositionSolver<T extends FieldElement<T>>	Interface handling decomposition algorithms that can solve A × X = B.
FieldDenseMatrix<T>	Square matrix whose elements define a Field.
FieldEquationsMapper<T extends RealFieldElement<T>>	Class mapping the part of a complete state or derivative that pertains to a set of differential equations.
FieldEventHandler<T extends RealFieldElement<T>>	This interface represents a handler for discrete events triggered during ODE integration.
FieldEventState<T extends RealFieldElement<T>>	This class handles the state for one event handler during integration steps.
FieldExpandableODE<T extends RealFieldElement<T>>	This class represents a combined set of first order differential equations, with at least a primary set of equations expandable by some sets of secondary equations.
FieldFixedStepHandler<T extends RealFieldElement<T>>	This interface represents a handler that should be called after each successful fixed step.
FieldHermiteInterpolator<T extends FieldElement<T>>	Polynomial interpolator using both sample values and sample derivatives.
FieldLUDecomposition<T>	Calculates the LUP-decomposition of a square matrix.
FieldLUDecomposition<T extends FieldElement<T>>	Calculates the LUP-decomposition of a square matrix.
FieldMatrix<T extends FieldElement<T>>	Interface defining field-valued matrix with basic algebraic operations.
FieldMatrixChangingVisitor<T extends FieldElement<?>>	Interface defining a visitor for matrix entries.
FieldMatrixPreservingVisitor<T extends FieldElement<?>>	Interface defining a visitor for matrix entries.
FieldODEState<T extends RealFieldElement<T>>	Container for time, main and secondary state vectors.
FieldODEStateAndDerivative<T extends RealFieldElement<T>>	Container for time, main and secondary state vectors as well as their derivatives.
FieldSecondaryEquations<T extends RealFieldElement<T>>	This interface allows users to add secondary differential equations to a primary set of differential equations.
FieldStepHandler<T extends RealFieldElement<T>>	This interface represents a handler that should be called after each successful step.
FieldStepInterpolator<T extends RealFieldElement<T>>	This interface represents an interpolator over the last step during an ODE integration.
FieldStepNormalizer<T extends RealFieldElement<T>>	This class wraps an object implementing FieldFixedStepHandler into a FieldStepHandler.
FieldVector<T extends FieldElement<T>>	Interface defining a field-valued vector with basic algebraic operations.
FieldVectorChangingVisitor<T extends FieldElement<?>>	This interface defines a visitor for the entries of a vector.
FieldVectorPreservingVisitor<T extends FieldElement<?>>	This interface defines a visitor for the entries of a vector.
FilterType	Enumerate for filtering events.
FiniteDifferencesDifferentiator	Univariate functions differentiator using finite differences.
FirstOrderConverter	This class converts second order differential equations to first order ones.
FirstOrderDifferentialEquations	This interface represents a first order differential equations set.
FirstOrderFieldDifferentialEquations<T extends RealFieldElement<T>>	This interface represents a first order differential equations set.
FirstOrderFieldIntegrator<T extends RealFieldElement<T>>	This interface represents a first order integrator for differential equations.
FirstOrderIntegrator	This interface represents a first order integrator for differential equations.
Fitness	Fitness of a chromosome.
FixedElapsedTime	Stops after a fixed amount of time has elapsed.
FixedGenerationCount	Stops after a fixed number of generations.
FixedStepHandler	This interface represents a handler that should be called after each successful fixed step.
Floor	floor function.
Frequency<T extends Comparable<T>>	Maintains a frequency distribution.
FunctionUtils	Utilities for manipulating function objects.
FuzzyKMeansClusterer<T extends Clusterable>	Fuzzy K-Means clustering algorithm.
Gaussian	Gaussian function.
Gaussian.Parametric	Parametric function where the input array contains the parameters of the Gaussian.
GaussianCurveFitter	Fits points to a Gaussian function.
GaussianCurveFitter.ParameterGuesser	Guesses the parameters norm, mean, and sigma of a Gaussian.Parametric based on the specified observed points.
GaussIntegrator	Class that implements the Gaussian rule for integrating a weighted function.
GaussIntegratorFactory	Class that provides different ways to compute the nodes and weights to be used by the Gaussian integration rule.
GaussNewtonOptimizer	Gauss-Newton least-squares solver.
GaussNewtonOptimizer.Decomposition	The decomposition algorithm to use to solve the normal equations.
GeneticAlgorithm	Implementation of a genetic algorithm.
GeometricMean	Returns the geometric mean of the available values.
GillFieldIntegrator<T extends RealFieldElement<T>>	This class implements the Gill fourth order Runge-Kutta integrator for Ordinary Differential Equations .
GillIntegrator	This class implements the Gill fourth order Runge-Kutta integrator for Ordinary Differential Equations .
GLSMultipleLinearRegression	The GLS implementation of multiple linear regression.
GoalType	Goal type for an optimization problem (minimization or maximization of a scalar function.
GradientFunction	Class representing the gradient of a multivariate function.
GradientMultivariateOptimizer	Base class for implementing optimizers for multivariate scalar differentiable functions.
GraggBulirschStoerIntegrator	This class implements a Gragg-Bulirsch-Stoer integrator for Ordinary Differential Equations.
GTest	Implements G Test statistics.
HaltonSequenceGenerator	Implementation of a Halton sequence.
HarmonicCurveFitter	Fits points to a harmonic oscillator function.
HarmonicCurveFitter.ParameterGuesser	This class guesses harmonic coefficients from a sample.
HarmonicOscillator	simple harmonic oscillator function.
HarmonicOscillator.Parametric	Parametric function where the input array contains the parameters of the harmonic oscillator function.
HedarFukushimaTransform	DSSA algorithm.
HermiteInterpolator	Polynomial interpolator using both sample values and sample derivatives.
HermiteRuleFactory	Factory that creates a Gauss-type quadrature rule using Hermite polynomials of the first kind.
HighamHall54FieldIntegrator<T extends RealFieldElement<T>>	This class implements the 5(4) Higham and Hall integrator for Ordinary Differential Equations.
HighamHall54Integrator	This class implements the 5(4) Higham and Hall integrator for Ordinary Differential Equations.
Identity	Identity function.
IllConditionedOperatorException	An exception to be thrown when the condition number of a RealLinearOperator is too high.
IllinoisSolver	Implements the Illinois method for root-finding (approximating a zero of a univariate real function).
InferenceTestUtils	A collection of static methods to create inference test instances or to perform inference tests.
InitialGuess	Starting point (first guess) of the optimization procedure.
InterpolatingMicrosphere	Utility class for the MicrosphereProjectionInterpolator algorithm.
InterpolatingMicrosphere2D	Utility class for the MicrosphereProjectionInterpolator algorithm.
IntervalUtils	Factory methods to generate confidence intervals for a binomial proportion.
InvalidRepresentationException	Exception indicating that the representation of a chromosome is not valid.
Inverse	Inverse function.
IterationEvent	The root class from which all events occurring while running an IterationManager should be derived.
IterationListener	The listener interface for receiving events occurring in an iterative algorithm.
IterationManager	This abstract class provides a general framework for managing iterative algorithms.
IterativeLegendreGaussIntegrator	This algorithm divides the integration interval into equally-sized sub-interval and on each of them performs a Legendre-Gauss quadrature.
IterativeLinearSolver	This abstract class defines an iterative solver for the linear system A · x = b.
IterativeLinearSolverEvent	This is the base class for all events occurring during the iterations of a IterativeLinearSolver.
JacobianFunction	Class representing the Jacobian of a multivariate vector function.
JacobianMatrices	This class defines a set of secondary equations to compute the Jacobian matrices with respect to the initial state vector and, if any, to some parameters of the primary ODE set.
JacobianMatrices.MismatchedEquations	Special exception for equations mismatch.
JacobiPreconditioner	This class implements the standard Jacobi (diagonal) preconditioner.
KalmanFilter	Implementation of a Kalman filter to estimate the state xk of a discrete-time controlled process that is governed by the linear stochastic difference equation:
KendallsCorrelation	Implementation of Kendall's Tau-b rank correlation.
KMeansPlusPlusClusterer<T extends Clusterable>	Clustering algorithm based on David Arthur and Sergei Vassilvitski k-means++ algorithm.
KMeansPlusPlusClusterer.EmptyClusterStrategy	Strategies to use for replacing an empty cluster.
KolmogorovSmirnovTest	Implementation of the Kolmogorov-Smirnov (K-S) test for equality of continuous distributions.
KthSelector	A Simple Kth selector implementation to pick up the Kth ordered element from a work array containing the input numbers.
Kurtosis	Computes the Kurtosis of the available values.
LaguerreRuleFactory	Factory that creates Gauss-type quadrature rule using Laguerre polynomials.
LaguerreSolver	Implements the Laguerre's Method for root finding of real coefficient polynomials.
LeastSquaresAdapter	An adapter that delegates to another implementation of LeastSquaresProblem.
LeastSquaresBuilder	A mutable builder for LeastSquaresProblems.
LeastSquaresConverter	This class converts vectorial objective functions to scalar objective functions when the goal is to minimize them.
LeastSquaresFactory	A Factory for creating LeastSquaresProblems.
LeastSquaresOptimizer	An algorithm that can be applied to a non-linear least squares problem.
LeastSquaresOptimizer.Optimum	The optimum found by the optimizer.
LeastSquaresProblem	The data necessary to define a non-linear least squares problem.
LeastSquaresProblem.Evaluation	An evaluation of a LeastSquaresProblem at a particular point.
LegendreHighPrecisionRuleFactory	Factory that creates Gauss-type quadrature rule using Legendre polynomials.
LegendreRuleFactory	Factory that creates Gauss-type quadrature rule using Legendre polynomials.
LevenbergMarquardtOptimizer	This class solves a least-squares problem using the Levenberg-Marquardt algorithm.
LinearConstraint	A linear constraint for a linear optimization problem.
LinearConstraintSet	Class that represents a set of linear constraints.
LinearInterpolator	Implements a linear function for interpolation of real univariate functions.
LinearObjectiveFunction	An objective function for a linear optimization problem.
LinearOptimizer	Base class for implementing linear optimizers.
LineSearch	Deprecated. as of 4.0-beta2.
LineSearchTolerance	Tolerances for line search.
ListPopulation	Population of chromosomes represented by a List.
LoessInterpolator	Implements the Local Regression Algorithm (also Loess, Lowess) for interpolation of real univariate functions.
Log	Natural logarithm function.
Log10	Base 10 logarithm function.
Log1p	log(1 + p) function.
Logistic	Generalised logistic function.
Logistic.Parametric	Parametric function where the input array contains the parameters of the logistic function.
Logit	Logit function.
Logit.Parametric	Parametric function where the input array contains the parameters of the logit function.
LUDecomposition	Calculates the LUP-decomposition of a square matrix.
LutherFieldIntegrator<T extends RealFieldElement<T>>	This class implements the Luther sixth order Runge-Kutta integrator for Ordinary Differential Equations.
LutherIntegrator	This class implements the Luther sixth order Runge-Kutta integrator for Ordinary Differential Equations.
MainStateJacobianProvider	Interface expanding first order differential equations in order to compute exactly the main state jacobian matrix for partial derivatives equations.
ManhattanDistance	Calculates the L1 (sum of abs) distance between two points.
MannWhitneyUTest	An implementation of the Mann-Whitney U test (also called Wilcoxon rank-sum test).
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.
MatrixUtils	A collection of static methods that operate on or return matrices.
Max	Maximum function.
Max	Returns the maximum of the available values.
MaxEval	Maximum number of evaluations of the function to be optimized.
MaxIter	Maximum number of iterations performed by an (iterative) algorithm.
Mean	Computes the arithmetic mean of a set of values.
MeasurementModel	Defines the measurement model for the use with a KalmanFilter.
Median	Returns the median of the available values.
MedianOf3PivotingStrategy	Classic median of 3 strategy given begin and end indices.
MicrosphereProjectionInterpolator	Interpolator that implements the algorithm described in William Dudziak's MS thesis.
MidpointFieldIntegrator<T extends RealFieldElement<T>>	This class implements a second order Runge-Kutta integrator for Ordinary Differential Equations.
MidpointIntegrator	This class implements a second order Runge-Kutta integrator for Ordinary Differential Equations.
MidPointIntegrator	Implements the Midpoint Rule for integration of real univariate functions.
MillerUpdatingRegression	This class is a concrete implementation of the UpdatingMultipleLinearRegression interface.
Min	Minimum function.
Min	Returns the minimum of the available values.
MiniBatchKMeansClusterer<T extends Clusterable>	Clustering algorithm based on KMeans.
Minus	Minus function.
MixtureMultivariateNormalDistribution	Multivariate normal mixture distribution.
MixtureMultivariateRealDistribution<T extends MultivariateRealDistribution>	Class for representing mixture model distributions.
ModelSpecificationException	Exception thrown when a regression model is not correctly specified.
MullerSolver	This class implements the Muller's Method for root finding of real univariate functions.
MullerSolver2	This class implements the Muller's Method for root finding of real univariate functions.
MultiDirectionalTransform	Multi-directional search method.
MultiKMeansPlusPlusClusterer<T extends Clusterable>	A wrapper around a k-means++ clustering algorithm which performs multiple trials and returns the best solution.
MultipleLinearRegression	The multiple linear regression can be represented in matrix-notation.
Multiply	Multiply the two operands.
MultiStartMultivariateOptimizer	Multi-start optimizer.
MultiStartUnivariateOptimizer	Special implementation of the UnivariateOptimizer interface adding multi-start features to an existing optimizer.
MultistepFieldIntegrator<T extends RealFieldElement<T>>	This class is the base class for multistep integrators for Ordinary Differential Equations.
MultistepIntegrator	This class is the base class for multistep integrators for Ordinary Differential Equations.
MultistepIntegrator.NordsieckTransformer	Deprecated. as of 3.6 this unused interface is deprecated
MultivariateDifferentiableFunction	Extension of MultivariateFunction representing a multivariate differentiable real function.
MultivariateDifferentiableVectorFunction	Extension of MultivariateVectorFunction representing a multivariate differentiable vectorial function.
MultivariateFunction	An interface representing a multivariate real function.
MultivariateFunctionMappingAdapter	Adapter for mapping bounded MultivariateFunction to unbounded ones.
MultivariateFunctionPenaltyAdapter	Adapter extending bounded MultivariateFunction to an unbouded domain using a penalty function.
MultivariateInterpolator	Interface representing a univariate real interpolating function.
MultivariateJacobianFunction	A interface for functions that compute a vector of values and can compute their derivatives (Jacobian).
MultivariateMatrixFunction	An interface representing a multivariate matrix function.
MultivariateNormalDistribution	Implementation of the multivariate normal (Gaussian) distribution.
MultivariateNormalMixtureExpectationMaximization	Expectation-Maximization algorithm for fitting the parameters of multivariate normal mixture model distributions.
MultivariateOptimizer	Base class for a multivariate scalar function optimizer.
MultivariateRealDistribution	Base interface for multivariate distributions on the reals.
MultivariateRealDistribution.Sampler	Sampling functionality.
MultivariateSummaryStatistics	Computes summary statistics for a stream of n-tuples added using the addValue method.
MultivariateVectorFunction	An interface representing a multivariate vectorial function.
MutationPolicy	Algorithm used to mutate a chromosome.
NaNStrategy	Strategies for handling NaN values in rank transformations.
NaturalRanking	Ranking based on the natural ordering on doubles.
NelderMeadTransform	Nelder-Mead method.
NevilleInterpolator	Implements the Neville's Algorithm for interpolation of real univariate functions.
NewtonRaphsonSolver	Implements Newton's Method for finding zeros of real univariate differentiable functions.
NoFeasibleSolutionException	This class represents exceptions thrown by optimizers when no solution fulfills the constraints.
NonLinearConjugateGradientOptimizer	Non-linear conjugate gradient optimizer.
NonLinearConjugateGradientOptimizer.Formula	Available choices of update formulas for the updating the parameter that is used to compute the successive conjugate search directions.
NonLinearConjugateGradientOptimizer.IdentityPreconditioner	Default identity preconditioner.
NonNegativeConstraint	A constraint for a linear optimization problem indicating whether all variables must be restricted to non-negative values.
NonPositiveDefiniteMatrixException	Exception to be thrown when a positive definite matrix is expected.
NonPositiveDefiniteOperatorException	Exception to be thrown when a symmetric, definite positive RealLinearOperator is expected.
NonSelfAdjointOperatorException	Exception to be thrown when a self-adjoint RealLinearOperator is expected.
NonSquareMatrixException	Exception to be thrown when a square matrix is expected.
NonSquareOperatorException	Exception to be thrown when a square linear operator is expected.
NonSymmetricMatrixException	Exception to be thrown when a symmetric matrix is expected.
NordsieckStepInterpolator	This class implements an interpolator for integrators using Nordsieck representation.
NormalApproximationInterval	Implements the normal approximation method for creating a binomial proportion confidence interval.
NPointCrossover<T>	N-point crossover policy.
ObjectiveFunction	Scalar function to be optimized.
ObjectiveFunctionGradient	Gradient of the scalar function to be optimized.
ODEIntegrator	This interface defines the common parts shared by integrators for first and second order differential equations.
OLSMultipleLinearRegression	Implements ordinary least squares (OLS) to estimate the parameters of a multiple linear regression model.
OnePointCrossover<T>	One point crossover policy.
OneWayAnova	Implements one-way ANOVA (analysis of variance) statistics.
OpenMapRealMatrix	Sparse matrix implementation based on an open addressed map.
OpenMapRealVector	This class implements the RealVector interface with a OpenIntToDoubleHashMap backing store.
OptimizationData	Marker interface.
OptimizationProblem<PAIR>	Common settings for all optimization problems.
OrderedCrossover<T>	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 parent as they appear.
Parameterizable	This interface enables to process any parameterizable object.
ParameterizedODE	Interface to compute by finite difference Jacobian matrix for some parameter when computing partial derivatives equations.
ParameterJacobianProvider	Interface to compute exactly Jacobian matrix for some parameter when computing partial derivatives equations.
ParameterValidator	Interface for validating a set of model parameters.
ParametricUnivariateFunction	An interface representing a real function that depends on one independent variable plus some extra parameters.
PearsonsCorrelation	Computes Pearson's product-moment correlation coefficients for pairs of arrays or columns of a matrix.
PegasusSolver	Implements the Pegasus method for root-finding (approximating a zero of a univariate real function).
Percentile	Provides percentile computation.
Percentile.EstimationType	An enum for various estimation strategies of a percentile referred in wikipedia on quantile with the names of enum matching those of types mentioned in wikipedia.
PermutationChromosome<T>	Interface indicating that the chromosome represents a permutation of objects.
PiecewiseBicubicSplineInterpolatingFunction	Function that implements the bicubic spline interpolation.
PiecewiseBicubicSplineInterpolator	Generates a piecewise-bicubic interpolating function.
PivotingStrategy	A strategy to pick a pivoting index of an array for doing partitioning.
PivotSelectionRule	Pivot selection rule to the use for a Simplex solver.
PointValuePair	This class holds a point and the value of an objective function at that point.
PointVectorValuePair	This class holds a point and the vectorial value of an objective function at that point.
PolynomialCurveFitter	Fits points to a polynomial function.
PolynomialFunction	Immutable representation of a real polynomial function with real coefficients.
PolynomialFunction.Parametric	Dedicated parametric polynomial class.
PolynomialFunctionLagrangeForm	Implements the representation of a real polynomial function in Lagrange Form.
PolynomialFunctionNewtonForm	Implements the representation of a real polynomial function in Newton Form.
PolynomialSolver	Interface for (polynomial) root-finding algorithms.
PolynomialSplineFunction	Represents a polynomial spline function.
PolynomialsUtils	A collection of static methods that operate on or return polynomials.
Population	A collection of chromosomes that facilitates generational evolution.
PopulationSize	Population size.
Pow	Power function.
PowellOptimizer	Powell's algorithm.
Power	Power function.
PreconditionedIterativeLinearSolver	This abstract class defines preconditioned iterative solvers.
Preconditioner	This interface represents a preconditioner for differentiable scalar objective function optimizers.
ProcessModel	Defines the process dynamics model for the use with a KalmanFilter.
Product	Returns the product of the available values.
PSquarePercentile	A StorelessUnivariateStatistic estimating percentiles using the P2 Algorithm as explained by Raj Jain and Imrich Chlamtac in P2 Algorithm for Dynamic Calculation of Quantiles and Histogram Without Storing Observations.
QRDecomposition	Calculates the QR-decomposition of a matrix.
RandomKey<T>	Random Key chromosome is used for permutation representation.
RandomKeyMutation	Mutation operator for RandomKeys.
RandomPivotingStrategy	A strategy of selecting random index between begin and end indices.
RankingAlgorithm	Interface representing a rank transformation.
RealFieldUnivariateFunction<T extends RealFieldElement<T>>	An interface representing a univariate real function.
RealLinearOperator	This class defines a linear operator operating on real (double) vector spaces.
RealMatrix	Interface defining a real-valued matrix with basic algebraic operations.
RealMatrixChangingVisitor	Interface defining a visitor for matrix entries.
RealMatrixFormat	Formats a nxm matrix in components list format "{{a00,a01, ..., a0m-1},{a10, a11, ..., a1m-1},{...},{ an-10, an-11, ..., an-1m-1}}".
RealMatrixPreservingVisitor	Interface defining a visitor for matrix entries.
RealVector	Class defining a real-valued vector with basic algebraic operations.
RealVectorChangingVisitor	This interface defines a visitor for the entries of a vector.
RealVectorFormat	Formats a vector in components list format "{v0; v1; ...; vk-1}".
RealVectorPreservingVisitor	This interface defines a visitor for the entries of a vector.
RectangularCholeskyDecomposition	Calculates the rectangular Cholesky decomposition of a matrix.
RegressionResults	Results of a Multiple Linear Regression model fit.
RegulaFalsiSolver	Implements the Regula Falsi or False position method for root-finding (approximating a zero of a univariate real function).
Relationship	Types of relationships between two cells in a Solver LinearConstraint.
RiddersSolver	Implements the Ridders' Method for root finding of real univariate functions.
Rint	rint function.
RombergIntegrator	Implements the Romberg Algorithm for integration of real univariate functions.
RRQRDecomposition	Calculates the rank-revealing QR-decomposition of a matrix, with column pivoting.
RungeKuttaFieldIntegrator<T extends RealFieldElement<T>>	This class implements the common part of all fixed step Runge-Kutta integrators for Ordinary Differential Equations.
RungeKuttaIntegrator	This class implements the common part of all fixed step Runge-Kutta integrators for Ordinary Differential Equations.
SearchInterval	Search interval and (optional) start value.
SecantSolver	Implements the Secant method for root-finding (approximating a zero of a univariate real function).
SecondaryEquations	This interface allows users to add secondary differential equations to a primary set of differential equations.
SecondMoment	Computes a statistic related to the Second Central Moment.
SecondOrderDifferentialEquations	This interface represents a second order differential equations set.
SecondOrderIntegrator	This interface represents a second order integrator for differential equations.
SelectionPolicy	Algorithm used to select a chromosome pair from a population.
SemiVariance	Computes the semivariance of a set of values with respect to a given cutoff value.
SemiVariance.Direction	The direction of the semivariance - either upside or downside.
Sigma	Input sigma values define the initial coordinate-wise extent for sampling the solution space around the initial guess.
Sigmoid	Sigmoid function.
Sigmoid.Parametric	Parametric function where the input array contains the parameters of the sigmoid function.
Signum	signum function.
SimpleBounds	Simple optimization constraints: lower and upper bounds.
SimpleCurveFitter	Fits points to a user-defined function.
SimpleCurveFitter.ParameterGuesser	Guesses the parameters.
SimplePointChecker<PAIR extends Pair<double[],? extends Object>>	Simple implementation of the ConvergenceChecker interface using only point coordinates.
SimpleRegression	Estimates an ordinary least squares regression model with one independent variable.
SimpleUnivariateValueChecker	Simple implementation of the ConvergenceChecker interface that uses only objective function values.
SimpleValueChecker	Simple implementation of the ConvergenceChecker interface using only objective function values.
SimpleVectorValueChecker	Simple implementation of the ConvergenceChecker interface using only objective function values.
Simplex	Represents a simplex.
Simplex.TransformFactory	Generator of simplex transform.
SimplexOptimizer	This class implements simplex-based direct search optimization.
SimplexOptimizer.Observer	Callback interface for updating caller's code with the current state of the optimization.
SimplexSolver	Solves a linear problem using the "Two-Phase Simplex" method.
SimpsonIntegrator	Implements Simpson's Rule for integration of real univariate functions.
SimulatedAnnealing	Simulated annealing setup.
SimulatedAnnealing.CoolingSchedule	Specifies the cooling schedule.
Sin	Sine function.
Sinc	Sinc function, defined by
SingularMatrixException	Exception to be thrown when a non-singular matrix is expected.
SingularOperatorException	Exception to be thrown when trying to invert a singular operator.
SingularValueDecomposition	Calculates the compact Singular Value Decomposition of a matrix.
Sinh	Hyperbolic sine function.
Skewness	Computes the skewness of the available values.
SobolSequenceGenerator	Implementation of a Sobol sequence.
SolutionCallback	A callback object that can be provided to a linear optimizer to keep track of the best solution found.
SparseFieldMatrix<T extends FieldElement<T>>	Sparse matrix implementation based on an open addressed map.
SparseFieldVector<T extends FieldElement<T>>	This class implements the FieldVector interface with a OpenIntToFieldHashMap backing store.
SparseGradient	First derivative computation with large number of variables.
SparseRealMatrix	Marker interface for RealMatrix implementations that require sparse backing storage
SparseRealVector	Marker class for RealVectors that require sparse backing storage
SpearmansCorrelation	Spearman's rank correlation.
SplineInterpolator	Computes a natural (also known as "free", "unclamped") cubic spline interpolation for the data set.
Sqrt	Square-root function.
StandardDeviation	Computes the sample standard deviation.
StatisticalMultivariateSummary	Reporting interface for basic multivariate statistics.
StatisticalSummary	Reporting interface for basic univariate statistics.
StatisticalSummaryValues	Value object representing the results of a univariate statistical summary.
StatUtils	StatUtils provides static methods for computing statistics based on data stored in double[] arrays.
StepFunction	Step function.
StepHandler	This interface represents a handler that should be called after each successful step.
StepInterpolator	This interface represents an interpolator over the last step during an ODE integration.
StepNormalizer	This class wraps an object implementing FixedStepHandler into a StepHandler.
StepNormalizerBounds	Step normalizer bounds settings.
StepNormalizerMode	Step normalizer modes.
StoppingCondition	Algorithm used to determine when to stop evolution.
StorelessCovariance	Covariance implementation that does not require input data to be stored in memory.
StorelessUnivariateStatistic	Extends the definition of UnivariateStatistic with StorelessUnivariateStatistic.increment(double) and StorelessUnivariateStatistic.incrementAll(double[]) methods for adding values and updating internal state.
Subtract	Subtract the second operand from the first.
Sum	Returns the sum of the available values.
SummaryStatistics	Computes summary statistics for a stream of data values added using the addValue method.
SumOfClusterVariances	Computes the sum of intra-cluster distance variances according to the formula:
SumOfLogs	Returns the sum of the natural logs for this collection of values.
SumOfSquares	Returns the sum of the squares of the available values.
SymmetricGaussIntegrator	This class's implements integrate method assuming that the integral is symmetric about 0.
SymmLQ	Implementation of the SYMMLQ iterative linear solver proposed by Paige and Saunders (1975).
SynchronizedDescriptiveStatistics	Implementation of DescriptiveStatistics that is safe to use in a multithreaded environment.
SynchronizedMultivariateSummaryStatistics	Implementation of MultivariateSummaryStatistics that is safe to use in a multithreaded environment.
SynchronizedSummaryStatistics	Implementation of SummaryStatistics that is safe to use in a multithreaded environment.
Tan	Tangent function.
Tanh	Hyperbolic tangent function.
ThreeEighthesFieldIntegrator<T extends RealFieldElement<T>>	This class implements the 3/8 fourth order Runge-Kutta integrator for Ordinary Differential Equations.
ThreeEighthesIntegrator	This class implements the 3/8 fourth order Runge-Kutta integrator for Ordinary Differential Equations.
TiesStrategy	Strategies for handling tied values in rank transformations.
Tolerance	Default tolerances values.
TournamentSelection	Tournament selection scheme.
TrapezoidIntegrator	Implements the Trapezoid Rule for integration of real univariate functions.
TricubicInterpolatingFunction	Function that implements the tricubic spline interpolation, as proposed in Tricubic interpolation in three dimensions F.
TricubicInterpolator	Generates a tricubic interpolating function.
TrivariateFunction	An interface representing a trivariate real function.
TrivariateGridInterpolator	Interface representing a trivariate real interpolating function where the sample points must be specified on a regular grid.
TTest	An implementation for Student's t-tests.
Ulp	ulp function.
UnboundedSolutionException	This class represents exceptions thrown by optimizers when a solution escapes to infinity.
UniformCrossover<T>	Perform Uniform Crossover [UX] on the specified chromosomes.
UnivariateDifferentiableFunction	Interface for univariate functions derivatives.
UnivariateDifferentiableMatrixFunction	Extension of UnivariateMatrixFunction representing a univariate differentiable matrix function.
UnivariateDifferentiableSolver	Interface for (univariate real) rootfinding algorithms.
UnivariateDifferentiableVectorFunction	Extension of UnivariateVectorFunction representing a univariate differentiable vectorial function.
UnivariateFunction	An interface representing a univariate real function.
UnivariateFunctionDifferentiator	Interface defining the function differentiation operation.
UnivariateIntegrator	Interface for univariate real integration algorithms.
UnivariateInterpolator	Interface representing a univariate real interpolating function.
UnivariateMatrixFunction	An interface representing a univariate matrix function.
UnivariateMatrixFunctionDifferentiator	Interface defining the function differentiation operation.
UnivariateObjectiveFunction	Scalar function to be optimized.
UnivariateOptimizer	Base class for a univariate scalar function optimizer.
UnivariatePeriodicInterpolator	Adapter for classes implementing the UnivariateInterpolator interface.
UnivariatePointValuePair	This class holds a point and the value of an objective function at this point.
UnivariateSolver	Interface for (univariate real) root-finding algorithms.
UnivariateSolverUtils	Utility routines for UnivariateSolver objects.
UnivariateStatistic	Base interface implemented by all statistics.
UnivariateVectorFunction	An interface representing a univariate vectorial function.
UnivariateVectorFunctionDifferentiator	Interface defining the function differentiation operation.
UnknownParameterException	Exception to be thrown when a parameter is unknown.
UpdatingMultipleLinearRegression	An interface for regression models allowing for dynamic updating of the data.
ValueAndJacobianFunction	A interface for functions that compute a vector of values and can compute their derivatives (Jacobian).
Variance	Computes the variance of the available values.
VectorialCovariance	Returns the covariance matrix of the available vectors.
VectorialMean	Returns the arithmetic mean of the available vectors.
WeightedEvaluation	Weighted evaluation for statistics.
WeightedObservedPoint	This class is a simple container for weighted observed point in curve fitting.
WeightedObservedPoints	Simple container for weighted observed points used in curve fitting algorithms.
WilcoxonSignedRankTest	An implementation of the Wilcoxon signed-rank test.
WilsonScoreInterval	Implements the Wilson score method for creating a binomial proportion confidence interval.