Package dev.nm.stat.random

Interface Seedable

All Known Subinterfaces:

BivariateEVD, ConcurrentCachedGenerator.Generator<T>, LinearCongruentialGenerator, MultivariateRandomRealizationGenerator, MultivariateResampler, ObjectResampler<X>, RandomBetaGenerator, RandomExpGenerator, RandomGammaGenerator, RandomLongGenerator, RandomNumberGenerator, RandomRealizationGenerator, RandomStandardNormalGenerator, RandomVectorGenerator, Resampler

All Known Implementing Classes:

AbstractBivariateEVD, AbstractHybridMCMC, AbstractMetropolis, ARIMASim, AS159, BaumWelch, BernoulliTrial, BinomialRNG, BivariateEVDAsymmetricLogistic, BivariateEVDAsymmetricMixed, BivariateEVDAsymmetricNegativeLogistic, BivariateEVDBilogistic, BivariateEVDColesTawn, BivariateEVDHuslerReiss, BivariateEVDLogistic, BivariateEVDNegativeBilogistic, BivariateEVDNegativeLogistic, BoxMuller, BurnInRNG, BurnInRVG, CaseResamplingReplacement, CaseResamplingReplacementForObject, Cheng1978, CompositeLinearCongruentialGenerator, ConcurrentCachedGenerator, ConcurrentCachedRLG, ConcurrentCachedRNG, ConcurrentCachedRVG, ConcurrentStandardNormalRNG, ContextRNG, DiscreteHMM, ErgodicHybridMCMC, ExtremeValueMC, GARCHSim, GroupResampler, GroupResamplerFactory, HiddenMarkovModel, HMMRNG, HybridMCMC, HypersphereRVG, IID, InverseTransformSampling, InverseTransformSamplingEVDRNG, InverseTransformSamplingExpRNG, InverseTransformSamplingGammaRNG, InverseTransformSamplingTruncatedNormalRNG, KnightSatchellTran1995, Knuth1969, KunduGupta2007, LEcuyer, Lehmer, LogNormalRNG, MARMASim, MarsagliaBray1964, MarsagliaTsang2000, MersenneTwister, Metropolis, MetropolisHastings, MixtureHMM, MixtureHMMEM, MRG, MultinomialRVG, MultipointHybridMCMC, MultivariateBrownianRRG, MultivariateRandomProcess, MultivariateRandomRealizationOfRandomProcess, MultivariateRandomWalk, MWC8222, NormalRNG, NormalRVG, OUSim, PattonPolitisWhite2009, PattonPolitisWhite2009ForObject, ProbabilityMassSampler, RandomProcess, RandomRealizationOfRandomProcess, RandomWalk, RayleighRNG, RobustAdaptiveMetropolis, SHR0, SHR3, SimpleMC, StandardNormalRNG, ThinRNG, ThinRVG, ThreadIDRLG, ThreadIDRNG, UniformDistributionOverBox, UniformRNG, VanDerWaerden1969, VARIMASim, WeibullRNG, XiTanLiu2010a, XiTanLiu2010b, Ziggurat2000, Ziggurat2000Exp, Zignor2005

public interface Seedable

A seed-able experiment allow the same experiment to be repeated in exactly the same way.

Method Summary

Modifier and Type	Method	Description
void	seed(long... seeds)	Seed the random number/vector/scenario generator to produce repeatable experiments.

Method Detail

seed

void seed(long... seeds)

Seed the random number/vector/scenario generator to produce repeatable experiments.

Parameters:

seeds - the seeds