Uses of Interface
fr.cnes.sirius.patrius.math.random.RandomGenerator

Packages that use RandomGenerator

Package	Description
fr.cnes.sirius.patrius.math.distribution
fr.cnes.sirius.patrius.math.genetics
fr.cnes.sirius.patrius.math.optim.nonlinear.scalar.noderiv
fr.cnes.sirius.patrius.math.optim.univariate
fr.cnes.sirius.patrius.math.random	Random number and random data generators.
fr.cnes.sirius.patrius.math.stat.ranking

Uses of RandomGenerator in fr.cnes.sirius.patrius.math.distribution

Fields in fr.cnes.sirius.patrius.math.distribution declared as RandomGenerator

Modifier and Type	Field and Description
protected RandomGenerator	AbstractMultivariateRealDistribution.random RNG instance used to generate samples from the distribution.
protected RandomGenerator	AbstractRealDistribution.random RNG instance used to generate samples from the distribution.
protected RandomGenerator	AbstractIntegerDistribution.random RNG instance used to generate samples from the distribution.

Constructors in fr.cnes.sirius.patrius.math.distribution with parameters of type RandomGenerator

Constructor and Description
AbstractIntegerDistribution(RandomGenerator rng)
AbstractMultivariateRealDistribution(RandomGenerator rng, int n)
AbstractRealDistribution(RandomGenerator rng)
BetaDistribution(RandomGenerator rng, double alphaIn, double betaIn, double inverseCumAccuracy) Creates a β distribution.
BinomialDistribution(RandomGenerator rng, int trials, double p) Creates a binomial distribution.
CauchyDistribution(RandomGenerator rng, double medianIn, double scaleIn, 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 meanIn, double inverseCumAccuracy) Creates an exponential distribution.
FDistribution(RandomGenerator rng, double numeratorDegreesOfFreedomIn, double denominatorDegreesOfFreedomIn, double inverseCumAccuracy) Creates an F distribution.
GammaDistribution(RandomGenerator rng, double shapeIn, double scaleIn, double inverseCumAccuracy) Creates a Gamma distribution.
HypergeometricDistribution(RandomGenerator rngIn, int populationSizeIn, int numberOfSuccessesIn, int sampleSizeIn) Creates a new hypergeometric distribution.
LogNormalDistribution(RandomGenerator rng, double scaleIn, double shapeIn, double inverseCumAccuracy) Creates a log-normal distribution.
MixtureMultivariateNormalDistribution(RandomGenerator rng, List<Pair<Double,MultivariateNormalDistribution>> components) Creates a mixture model from a list of distributions and their associated weights.
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[] meansIn, double[][] covariances) Creates a multivariate normal distribution with the given mean vector and covariance matrix.
NormalDistribution(RandomGenerator rng, double meanIn, 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 epsilonIn, int maxIterationsIn) Creates a new Poisson distribution with specified mean, convergence criterion and maximum number of iterations.
TDistribution(RandomGenerator rng, double degreesOfFreedomIn, double inverseCumAccuracy) Creates a t distribution.
TriangularDistribution(RandomGenerator rng, double aIn, double cIn, double bIn) Creates a triangular distribution.
UniformIntegerDistribution(RandomGenerator rng, int lowerIn, int upperIn) Creates a new uniform integer distribution using the given lower and upper bounds (both inclusive).
UniformRealDistribution(RandomGenerator rng, double lowerIn, double upperIn, double inverseCumAccuracy) Creates a uniform distribution.
WeibullDistribution(RandomGenerator rng, double alpha, double beta, double inverseCumAccuracy) Creates a Weibull distribution.
ZipfDistribution(RandomGenerator rng, int numberOfElementsIn, double exponentIn) Creates a Zipf distribution.

Uses of RandomGenerator in fr.cnes.sirius.patrius.math.genetics

Methods in fr.cnes.sirius.patrius.math.genetics that return RandomGenerator

Modifier and Type	Method and Description
static RandomGenerator	GeneticAlgorithm.getRandomGenerator() Returns the (static) random generator.

Methods in fr.cnes.sirius.patrius.math.genetics with parameters of type RandomGenerator

Modifier and Type	Method and Description
static void	GeneticAlgorithm.setRandomGenerator(RandomGenerator random) Set the (static) random generator.

Uses of RandomGenerator in fr.cnes.sirius.patrius.math.optim.nonlinear.scalar.noderiv

Constructors in fr.cnes.sirius.patrius.math.optim.nonlinear.scalar.noderiv with parameters of type RandomGenerator

Constructor and Description
CMAESOptimizer(int maxIterationsIn, double stopFitnessIn, boolean isActiveCMAIn, int diagonalOnlyIn, int checkFeasableCountIn, RandomGenerator randomIn, boolean generateStatisticsIn, ConvergenceChecker<PointValuePair> checker)

Uses of RandomGenerator in fr.cnes.sirius.patrius.math.optim.univariate

Constructors in fr.cnes.sirius.patrius.math.optim.univariate with parameters of type RandomGenerator

Constructor and Description
MultiStartUnivariateOptimizer(UnivariateOptimizer optimizerIn, int startsIn, RandomGenerator generatorIn) Create a multi-start optimizer from a single-start optimizer.

Uses of RandomGenerator in fr.cnes.sirius.patrius.math.random

Classes in fr.cnes.sirius.patrius.math.random that implement RandomGenerator

Modifier and Type	Class and Description
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 fr.cnes.sirius.patrius.math.random that return RandomGenerator

Modifier and Type	Method and Description
RandomGenerator	RandomDataGenerator.getRan() Returns the RandomGenerator used to generate non-secure random data.

Methods in fr.cnes.sirius.patrius.math.random with parameters of type RandomGenerator

Modifier and Type	Method and Description
static Random	RandomAdaptor.createAdaptor(RandomGenerator randomGenerator) Factory method to create a Random using the supplied RandomGenerator.

Constructors in fr.cnes.sirius.patrius.math.random with parameters of type RandomGenerator

Constructor and Description
EmpiricalDistribution(int binCountIn, 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 generatorIn) Create a new generator.
RandomAdaptor(RandomGenerator randomGeneratorIn) Construct a RandomAdaptor wrapping the supplied RandomGenerator.
RandomDataGenerator(RandomGenerator randIn) Construct a RandomDataGenerator using the supplied RandomGenerator as the source of (non-secure) random data.
StableRandomGenerator(RandomGenerator generatorIn, double alphaIn, double betaIn) Create a new generator.
SynchronizedRandomGenerator(RandomGenerator rng) Creates a synchronized wrapper for the given RandomGenerator instance.
UniformRandomGenerator(RandomGenerator generatorIn) Create a new generator.
UnitSphereRandomVectorGenerator(int dimensionIn, RandomGenerator randIn)
ValueServer(RandomGenerator generator) Construct a ValueServer instance using a RandomGenerator as its source of random data.

Uses of RandomGenerator in fr.cnes.sirius.patrius.math.stat.ranking

Constructors in fr.cnes.sirius.patrius.math.stat.ranking with parameters of type RandomGenerator

Constructor and Description
NaturalRanking(NaNStrategy nanStrategyIn, 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.