Examples of cern.jet.random.engine.DRand

cern.jet.random.engine.DRand
Quick medium quality uniform pseudo-random number generator. Produces uniformly distributed int's and long's in the closed intervals [Integer.MIN_VALUE,Integer.MAX_VALUE] and [Long.MIN_VALUE,Long.MAX_VALUE], respectively, as well as float's and double's in the open unit intervals (0.0f,1.0f) and (0.0,1.0), respectively.
The seed can be any integer satisfying 0 < 4*seed+1 < 2³². In other words, there must hold seed >= 0 && seed < 1073741823.
Quality: This generator follows the multiplicative congruential method of the form
z(i+1) = a * z(i) (mod m) with a=663608941 (=0X278DDE6DL), m=2³².
z(i) assumes all different values 0 < 4*seed+1 < m during a full period of 2³⁰.
Performance: TO_DO
Implementation: TO_DO
Note that this implementation is not synchronized.
@author wolfgang.hoschek@cern.ch @version 1.0, 09/24/99 @see MersenneTwister @see java.util.Random

  System.out.println("Got N=" + N);


  /*
   * Set up the QuantileBin1D object
   */
  DRand rand = new DRand(new Date());
  QuantileBin1D qAccum = new QuantileBin1D(false,
             N,
             1.e-4,
             1.e-3,
             200,
             rand,
             false,
             false,
             2);


  DynamicBin1D dbin = new DynamicBin1D();
  
  /*
   * Use a new random number generator to generate numExamples
   * random gaussians, and add them to the QuantileBin1D
   */
  Uniform dataRand = new Uniform(new DRand(7757));
  for (int i = 1; i <= numExamples; i++) {
    double gauss = dataRand.nextDouble();
      qAccum.add(gauss);
      dbin.add(gauss);
  }

View Full Code Here

  System.out.println("Got N=" + N);


  /*
   * Set up the QuantileBin1D object
   */
  DRand rand = new DRand(new Date());
  QuantileBin1D qAccum = new QuantileBin1D(false,
             N,
             1.e-4,
             1.e-3,
             200,
             rand,
             false,
             false,
             2);


  DynamicBin1D dbin = new DynamicBin1D();
  
  /*
   * Use a new random number generator to generate numExamples
   * random gaussians, and add them to the QuantileBin1D
   */
  Uniform dataRand = new Uniform(new DRand(7757));
  for (int i = 1; i <= numExamples; i++) {
    double gauss = dataRand.nextDouble();
      qAccum.add(gauss);
      dbin.add(gauss);
  }

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        _generatorClassName = generatorClassValue;


        if ((generatorClassValue == null)
                || generatorClassValue.equals("DRand")) {
            _randomNumberGenerator = new DRand((int) seedValue);
        } else if (generatorClassValue.equals("MersenneTwister (MT19937)")) {
            _randomNumberGenerator = new MersenneTwister((int) seedValue);
        } else if (generatorClassValue.equals("Ranecu")) {
            _randomNumberGenerator = new Ranecu((int) seedValue);
        } else if (generatorClassValue.equals("Ranlux")) {

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Related Classes of cern.jet.random.engine.DRand

cern.jet.stat.quantile.Quantile1Test

ptolemy.actor.lib.colt.ColtRandomSource

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