Uses of Interface
org.apache.commons.math3.random.RandomGenerator

Packages that use RandomGenerator

org.apache.commons.math3.distribution	Implementations of common discrete and continuous distributions.
org.apache.commons.math3.genetics	This package provides Genetic Algorithms components and implementations.
org.apache.commons.math3.optim.nonlinear.scalar.noderiv	This package provides optimization algorithms that do not require derivatives.
org.apache.commons.math3.optim.univariate	One-dimensional optimization algorithms.
org.apache.commons.math3.optimization.direct	This package provides optimization algorithms that don't require derivatives.
org.apache.commons.math3.optimization.univariate	Univariate real functions minimum finding algorithms.
org.apache.commons.math3.random	Random number and random data generators.
org.apache.commons.math3.stat.ranking	Classes providing rank transformations.

Uses of RandomGenerator in org.apache.commons.math3.distribution

Fields in org.apache.commons.math3.distribution declared as RandomGenerator

protected RandomGenerator	AbstractMultivariateRealDistribution.random RNG instance used to generate samples from the distribution.
protected RandomGenerator	AbstractIntegerDistribution.random RNG instance used to generate samples from the distribution.
protected RandomGenerator	AbstractRealDistribution.random RNG instance used to generate samples from the distribution.

Constructors in org.apache.commons.math3.distribution with parameters of type RandomGenerator

AbstractIntegerDistribution(RandomGenerator rng)

AbstractMultivariateRealDistribution(RandomGenerator rng, int n)

AbstractRealDistribution(RandomGenerator rng)

BetaDistribution(RandomGenerator rng, double alpha, double beta, double inverseCumAccuracy)
Creates a β distribution.

BinomialDistribution(RandomGenerator rng, int trials, double p)
Creates a binomial distribution.

CauchyDistribution(RandomGenerator rng, double median, double scale, double inverseCumAccuracy)
Creates a Cauchy distribution.

ChiSquaredDistribution(RandomGenerator rng, double degreesOfFreedom, double inverseCumAccuracy)
Create a Chi-Squared distribution with the given degrees of freedom and inverse cumulative probability accuracy.

ExponentialDistribution(RandomGenerator rng, double mean, double inverseCumAccuracy)
Creates an exponential distribution.

FDistribution(RandomGenerator rng, double numeratorDegreesOfFreedom, double denominatorDegreesOfFreedom, double inverseCumAccuracy)
Creates an F distribution.

GammaDistribution(RandomGenerator rng, double shape, double scale, double inverseCumAccuracy)
Creates a Gamma distribution.

HypergeometricDistribution(RandomGenerator rng, int populationSize, int numberOfSuccesses, int sampleSize)
Creates a new hypergeometric distribution.

LogNormalDistribution(RandomGenerator rng, double scale, double shape, double inverseCumAccuracy)
Creates a log-normal distribution.

MixtureMultivariateRealDistribution(RandomGenerator rng, List<Pair<Double,T>> components)
Creates a mixture model from a list of distributions and their associated weights.

MultivariateNormalDistribution(RandomGenerator rng, double[] means, double[][] covariances)
Creates a multivariate normal distribution with the given mean vector and covariance matrix.

NormalDistribution(RandomGenerator rng, double mean, double sd, double inverseCumAccuracy)
Creates a normal distribution.

PascalDistribution(RandomGenerator rng, int r, double p)
Create a Pascal distribution with the given number of successes and probability of success.

PoissonDistribution(RandomGenerator rng, double p, double epsilon, int maxIterations)
Creates a new Poisson distribution with specified mean, convergence criterion and maximum number of iterations.

TDistribution(RandomGenerator rng, double degreesOfFreedom, double inverseCumAccuracy)
Creates a t distribution.

TriangularDistribution(RandomGenerator rng, double a, double c, double b)
Creates a triangular distribution.

UniformIntegerDistribution(RandomGenerator rng, int lower, int upper)
Creates a new uniform integer distribution using the given lower and upper bounds (both inclusive).

UniformRealDistribution(RandomGenerator rng, double lower, double upper, double inverseCumAccuracy)
Creates a uniform distribution.

WeibullDistribution(RandomGenerator rng, double alpha, double beta, double inverseCumAccuracy)
Creates a Weibull distribution.

ZipfDistribution(RandomGenerator rng, int numberOfElements, double exponent)
Creates a Zipf distribution.

Uses of RandomGenerator in org.apache.commons.math3.genetics

Methods in org.apache.commons.math3.genetics that return RandomGenerator

static RandomGenerator

GeneticAlgorithm.getRandomGenerator() Returns the (static) random generator.

Methods in org.apache.commons.math3.genetics with parameters of type RandomGenerator

static void

GeneticAlgorithm.setRandomGenerator(RandomGenerator random) Set the (static) random generator.

Uses of RandomGenerator in org.apache.commons.math3.optim.nonlinear.scalar.noderiv

Constructors in org.apache.commons.math3.optim.nonlinear.scalar.noderiv with parameters of type RandomGenerator

CMAESOptimizer(int maxIterations, double stopFitness, boolean isActiveCMA, int diagonalOnly, int checkFeasableCount, RandomGenerator random, boolean generateStatistics, ConvergenceChecker<PointValuePair> checker)

Uses of RandomGenerator in org.apache.commons.math3.optim.univariate

Constructors in org.apache.commons.math3.optim.univariate with parameters of type RandomGenerator

MultiStartUnivariateOptimizer(UnivariateOptimizer optimizer, int starts, RandomGenerator generator)
Create a multi-start optimizer from a single-start optimizer.

Uses of RandomGenerator in org.apache.commons.math3.optimization.direct

Fields in org.apache.commons.math3.optimization.direct declared as RandomGenerator

static RandomGenerator

CMAESOptimizer.DEFAULT_RANDOMGENERATOR Deprecated. Default value for CMAESOptimizer.random.

Constructors in org.apache.commons.math3.optimization.direct with parameters of type RandomGenerator

CMAESOptimizer(int lambda, double[] inputSigma, int maxIterations, double stopFitness, boolean isActiveCMA, int diagonalOnly, int checkFeasableCount, RandomGenerator random, boolean generateStatistics)
Deprecated. See SimpleValueChecker.SimpleValueChecker()

CMAESOptimizer(int lambda, double[] inputSigma, int maxIterations, double stopFitness, boolean isActiveCMA, int diagonalOnly, int checkFeasableCount, RandomGenerator random, boolean generateStatistics, ConvergenceChecker<PointValuePair> checker)
Deprecated. As of version 3.1: Parameters lambda and inputSigma must be passed with the call to optimize.

CMAESOptimizer(int maxIterations, double stopFitness, boolean isActiveCMA, int diagonalOnly, int checkFeasableCount, RandomGenerator random, boolean generateStatistics, ConvergenceChecker<PointValuePair> checker)
Deprecated.

Uses of RandomGenerator in org.apache.commons.math3.optimization.univariate

Constructors in org.apache.commons.math3.optimization.univariate with parameters of type RandomGenerator

UnivariateMultiStartOptimizer(BaseUnivariateOptimizer<FUNC> optimizer, int starts, RandomGenerator generator)
Deprecated. Create a multi-start optimizer from a single-start optimizer.

Uses of RandomGenerator in org.apache.commons.math3.random

Classes in org.apache.commons.math3.random that implement RandomGenerator

class	AbstractRandomGenerator Abstract class implementing the RandomGenerator interface.
class	AbstractWell This abstract class implements the WELL class of pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
class	BitsStreamGenerator Base class for random number generators that generates bits streams.
class	ISAACRandom ISAAC: a fast cryptographic pseudo-random number generator ISAAC (Indirection, Shift, Accumulate, Add, and Count) generates 32-bit random numbers.
class	JDKRandomGenerator Extension of java.util.Random to implement RandomGenerator.
class	MersenneTwister This class implements a powerful pseudo-random number generator developed by Makoto Matsumoto and Takuji Nishimura during 1996-1997.
class	RandomAdaptor Extension of java.util.Random wrapping a RandomGenerator.
class	SynchronizedRandomGenerator Any RandomGenerator implementation can be thread-safe if it is used through an instance of this class.
class	Well1024a This class implements the WELL1024a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
class	Well19937a This class implements the WELL19937a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
class	Well19937c This class implements the WELL19937c pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
class	Well44497a This class implements the WELL44497a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
class	Well44497b This class implements the WELL44497b pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
class	Well512a This class implements the WELL512a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.

Methods in org.apache.commons.math3.random with parameters of type RandomGenerator

static Random

RandomAdaptor.createAdaptor(RandomGenerator randomGenerator) Factory method to create a Random using the supplied RandomGenerator.

Constructors in org.apache.commons.math3.random with parameters of type RandomGenerator

EmpiricalDistribution(int binCount, RandomGenerator generator)
Creates a new EmpiricalDistribution with the specified bin count using the provided RandomGenerator as the source of random data.

EmpiricalDistribution(RandomGenerator generator)
Creates a new EmpiricalDistribution with default bin count using the provided RandomGenerator as the source of random data.

GaussianRandomGenerator(RandomGenerator generator)
Create a new generator.

RandomAdaptor(RandomGenerator randomGenerator)
Construct a RandomAdaptor wrapping the supplied RandomGenerator.

RandomDataGenerator(RandomGenerator rand)
Construct a RandomDataGenerator using the supplied RandomGenerator as the source of (non-secure) random data.

RandomDataImpl(RandomGenerator rand)
Deprecated. Construct a RandomDataImpl using the supplied RandomGenerator as the source of (non-secure) random data.

StableRandomGenerator(RandomGenerator generator, double alpha, double beta)
Create a new generator.

SynchronizedRandomGenerator(RandomGenerator rng)
Creates a synchronized wrapper for the given RandomGenerator instance.

UniformRandomGenerator(RandomGenerator generator)
Create a new generator.

UnitSphereRandomVectorGenerator(int dimension, RandomGenerator rand)

ValueServer(RandomGenerator generator)
Construct a ValueServer instance using a RandomGenerator as its source of random data.

Uses of RandomGenerator in org.apache.commons.math3.stat.ranking

Constructors in org.apache.commons.math3.stat.ranking with parameters of type RandomGenerator

NaturalRanking(NaNStrategy nanStrategy, RandomGenerator randomGenerator)
Create a NaturalRanking with the given NaNStrategy, TiesStrategy.RANDOM and the given source of random data.

NaturalRanking(RandomGenerator randomGenerator)
Create a NaturalRanking with TiesStrategy.RANDOM and the given RandomGenerator as the source of random data.