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 Details

    • seed

      void seed(long... seeds)
      Seed the random number/vector/scenario generator to produce repeatable experiments.
      Parameters:
      seeds - the seeds