Package org.apache.commons.math3.random

Examples of org.apache.commons.math3.random.Well44497b

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    private final String[] kroneckerAndMetricNames = {"d", "g"};
    private final IntArrayList kroneckerAndMetricIds = new IntArrayList();

    NameManager(Long seed, String kronecker, String metric) {
        if (seed == null) {
            random = new Well44497b();
            random.setSeed(this.seed = random.nextLong());
        } else
            random = new Well44497b(this.seed = seed);
        kroneckerAndMetricNames[0] = kronecker;
        kroneckerAndMetricNames[1] = metric;
    }
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            case WELL19937C:
                return new RandomAdaptor(randomSeed == null ? new Well19937c() : new Well19937c(randomSeed));
            case WELL44497A:
                return new RandomAdaptor(randomSeed == null ? new Well44497a() : new Well44497a(randomSeed));
            case WELL44497B:
                return new RandomAdaptor(randomSeed == null ? new Well44497b() : new Well44497b(randomSeed));
            default:
                throw new IllegalStateException("The randomType (" + randomType + ") is not implemented.");
        }
    }
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    private final String[] kroneckerAndMetricNames = {"d", "g"};
    private final IntArrayList kroneckerAndMetricIds = new IntArrayList();

    NameManager(Long seed, String kronecker, String metric) {
        if (seed == null) {
            random = new Well44497b();
            random.setSeed(this.seed = random.nextLong());
        } else
            random = new Well44497b(this.seed = seed);
        kroneckerAndMetricNames[0] = kronecker;
        kroneckerAndMetricNames[1] = metric;
    }
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                                      double y,
                                      double radius,
                                      double xSigma,
                                      double ySigma,
                                      long seed) {
        final RandomGenerator rng = new Well44497b(seed);
        this.radius = radius;
        cX = new NormalDistribution(rng, x, xSigma,
                                    NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
        cY = new NormalDistribution(rng, y, ySigma,
                                    NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
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                                            double b,
                                            double sigma,
                                            double lo,
                                            double hi,
                                            long seed) {
        final RandomGenerator rng = new Well44497b(seed);
        slope = a;
        intercept = b;
        error = new NormalDistribution(rng, 0, sigma,
                                       NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
        x = new UniformRealDistribution(rng, lo, hi,
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                                      double y,
                                      double radius,
                                      double xSigma,
                                      double ySigma,
                                      long seed) {
        final RandomGenerator rng = new Well44497b(seed);
        this.radius = radius;
        cX = new NormalDistribution(rng, x, xSigma,
                                    NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
        cY = new NormalDistribution(rng, y, ySigma,
                                    NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
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                                            double b,
                                            double sigma,
                                            double lo,
                                            double hi,
                                            long seed) {
        final RandomGenerator rng = new Well44497b(seed);
        slope = a;
        intercept = b;
        error = new NormalDistribution(rng, 0, sigma,
                                       NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
        x = new UniformRealDistribution(rng, lo, hi,
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    private final String[] kroneckerAndMetricNames = {"d", "g"};
    private final IntArrayList kroneckerAndMetricIds = new IntArrayList();

    NameManager(Long seed, String kronecker, String metric) {
        if (seed == null) {
            random = new Well44497b();
            random.setSeed(this.seed = random.nextLong());
        } else
            random = new Well44497b(this.seed = seed);
        kroneckerAndMetricNames[0] = kronecker;
        kroneckerAndMetricNames[1] = metric;
    }
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    private final IntArrayList kroneckerAndMetricIds = new IntArrayList();

    NameManager(Long seed, String kronecker, String metric) {
        if (seed == null) {
            //FUTURE what is the best bit provider at this point???
            random = new Well44497b();
            random.setSeed(this.seed = random.nextLong());
        } else
            random = new Well44497b(this.seed = seed.longValue());
        kroneckerAndMetricNames[0] = kronecker;
        kroneckerAndMetricNames[1] = metric;
    }
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    private final String[] kroneckerAndMetricNames = {"d", "g"};
    private final IntArrayList kroneckerAndMetricIds = new IntArrayList();

    NameManager(Long seed, String kronecker, String metric) {
        if (seed == null) {
            random = new Well44497b();
            random.setSeed(this.seed = random.nextLong());
        } else
            random = new Well44497b(this.seed = seed);
        kroneckerAndMetricNames[0] = kronecker;
        kroneckerAndMetricNames[1] = metric;
    }
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Related Classes of org.apache.commons.math3.random.Well44497b

  • cc.redberry.core.context.NameManager
  • org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  • org.apache.commons.math3.analysis.differentiation.MultivariateDifferentiableVectorFunction
  • org.apache.commons.math3.analysis.function.HarmonicOscillator
  • org.apache.commons.math3.analysis.function.Sin
  • org.apache.commons.math3.analysis.function.Sinc
  • org.apache.commons.math3.analysis.MultivariateFunction
  • org.apache.commons.math3.analysis.QuinticFunction
  • org.apache.commons.math3.analysis.solvers.BrentSolver
  • org.apache.commons.math3.analysis.UnivariateFunction
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