Examples of MRG32k3a

umontreal.iro.lecuyer.rng.MRG32k3a

Extends the abstract class {@link RandomStreamBase} by using as abackbone (or main) generator the combined multiple recursive generator (CMRG) MRG32k3a proposed by L'Ecuyer, implemented in 64-bit floating-point arithmetic. This backbone generator has a period length of ρ = 2¹⁹¹. The values of V, W, and Z are 2⁵¹, 2⁷⁶, and 2¹²⁷, respectively. (See {@link RandomStream} for their definition.)The seed of the RNG, and the state of a stream at any given step, are six-dimensional vectors of 32-bit integers, stored in double. The default initial seed of the RNG is (12345, 12345, 12345, 12345, 12345, 12345).

    this.group = group;
    this.dist = dist;  
    this.name = name;  
    if(dist!=null) 
      distLogger = new SimDistributionLogger(this.dist.getMean());
    rand = new MRG32k3a();
  }

  int factor = 1;
  RandomStream streamDemand = null;  
  RandomVariateGen gen = null;  
  
  public SimDistribution(int type, double mean, double param) {
    streamDemand = new MRG32k3a();
    this.type = type;
    this.mean = mean;
    this.param = param;
    switch(this.type){
    case POISSON:

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Examples of MRG32k3a

Examples of umontreal.iro.lecuyer.rng.MRG32k3a

Examples of umontreal.iro.lecuyer.rng.MRG32k3a