Package cern.jet.random.engine

Examples of cern.jet.random.engine.MersenneTwister64.nextDouble()

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    };

    final RandomEngine ran = new MersenneTwister64(MersenneTwister.DEFAULT_SEED);
    final double[] temp = new double[nWeights];
    for (int i = 0; i < nWeights; i++) {
      temp[i] = ran.nextDouble();
    }
    final DoubleMatrix1D start = new DoubleMatrix1D(temp);

    final LeastSquareResults lsRes = NLLSWP.solve(new DoubleMatrix1D(obs), new DoubleMatrix1D(n, 0.01), func, jac, start, penalty);
    if(print) {
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  @Test
  //TODO if this interpolator cannot get the answer right then an exception should be thrown
  public void testFlat() {
    final RandomEngine random = new MersenneTwister64(MersenneTwister.DEFAULT_SEED);
    final double x1 = 10 * random.nextDouble();
    final double x2 = 10 * random.nextDouble();
    final double x3 = 10 * random.nextDouble();
    // Fails utterly for flat surface since the variogram function will be zero for all r
    final InterpolatorND interpolator = new KrigingInterpolatorND(1.99);
    final InterpolatorNDDataBundle dataBundle = interpolator.getDataBundle(FLAT_DATA);
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  @Test
  //TODO if this interpolator cannot get the answer right then an exception should be thrown
  public void testFlat() {
    final RandomEngine random = new MersenneTwister64(MersenneTwister.DEFAULT_SEED);
    final double x1 = 10 * random.nextDouble();
    final double x2 = 10 * random.nextDouble();
    final double x3 = 10 * random.nextDouble();
    // Fails utterly for flat surface since the variogram function will be zero for all r
    final InterpolatorND interpolator = new KrigingInterpolatorND(1.99);
    final InterpolatorNDDataBundle dataBundle = interpolator.getDataBundle(FLAT_DATA);
    assertEquals(INTERPOLATOR.interpolate(dataBundle, new double[] {x1, x2, x3}), 0, 0);
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  //TODO if this interpolator cannot get the answer right then an exception should be thrown
  public void testFlat() {
    final RandomEngine random = new MersenneTwister64(MersenneTwister.DEFAULT_SEED);
    final double x1 = 10 * random.nextDouble();
    final double x2 = 10 * random.nextDouble();
    final double x3 = 10 * random.nextDouble();
    // Fails utterly for flat surface since the variogram function will be zero for all r
    final InterpolatorND interpolator = new KrigingInterpolatorND(1.99);
    final InterpolatorNDDataBundle dataBundle = interpolator.getDataBundle(FLAT_DATA);
    assertEquals(INTERPOLATOR.interpolate(dataBundle, new double[] {x1, x2, x3}), 0, 0);
  }
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