Examples of org.apache.commons.math.random.MersenneTwister

org.apache.commons.math.random.MersenneTwister

ath.sci.hiroshima-u.ac.jp/~m-mat/MT/emt.html"> http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/emt.html.

This generator is described in a paper by Makoto Matsumoto and Takuji Nishimura in 1998: Mersenne Twister: A 623-Dimensionally Equidistributed Uniform Pseudo-Random Number Generator, ACM Transactions on Modeling and Computer Simulation, Vol. 8, No. 1, January 1998, pp 3--30

This class is mainly a Java port of the 2002-01-26 version of the generator written in C by Makoto Matsumoto and Takuji Nishimura. Here is their original copyright:

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
The names of its contributors may not be used to endorse or promote products derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

@version $Revision: 990655 $ $Date: 2010-08-29 23:49:40 +0200 (dim. 29 août 2010) $ @since 2.0

    case SUPER_DUPER:
      throw new EvalException(rng.RNG_kind + " not implemented yet");


    case MERSENNE_TWISTER:
      if (rng.mersenneTwisterAlg == null) {
        rng.mersenneTwisterAlg = new MersenneTwister(seed);
      } else {
        rng.mersenneTwisterAlg.setSeed(seed);
      }
      return;

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    case MERSENNE_TWISTER:
      if (mersenneTwisterAlg == null) {
        if (this.randomseed == 0) {
          Randomize(RNG_kind);
        }
        mersenneTwisterAlg = new MersenneTwister((long) this.randomseed);
      }
      return (mersenneTwisterAlg.nextDouble());


    case KNUTH_TAOCP:
    case KNUTH_TAOCP2:

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    case SUPER_DUPER:
      throw new EvalException(RNG_kind + " not implemented yet");


    case MERSENNE_TWISTER:
      if (mersenneTwisterAlg == null) {
        mersenneTwisterAlg = new MersenneTwister(sseed);
      } else {
        mersenneTwisterAlg.setSeed(sseed);
      }
      return;

View Full Code Here

    private RandomGenerator generator;


    @Before
    public void setUp() {
        field = new DfpField(40);
        generator = new MersenneTwister(6176597458463500194l);
    }

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  @Override
  public Iterator<List<StoreFile>> iterator() {
    return new Iterator<List<StoreFile>>() {
      private GaussianRandomGenerator gen =
          new GaussianRandomGenerator(new MersenneTwister(random.nextInt()));
      private int count = 0;


      @Override
      public boolean hasNext() {
        return count < MAX_FILE_GEN_ITERS;

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  static final class ThreadLocalGeneratorHolder extends ThreadLocal<RandomGenerator>
  {
    @Override
    public RandomGenerator initialValue()
    {
      return new MersenneTwister(seedUniquifier.getAndIncrement() + System.nanoTime());
    }

View Full Code Here

     * @return RandomGenerator
     */
    @Override
    public RandomGenerator initialValue()
    {
      return new MersenneTwister(seedUniquifier.getAndIncrement() + System.nanoTime());
    }

View Full Code Here

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