Package org.apache.commons.math3.random

Examples of org.apache.commons.math3.random.Well19937c

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                actual = interpolation.value( currentX, currentY );
                assertTrue( Precision.equals( expected, actual ) );
            }
        }

        final RandomGenerator rng = new Well19937c( 1234567L ); // "tol" depends on the seed.
        final UniformRealDistribution distX =
            new UniformRealDistribution( rng, xValues[0], xValues[xValues.length - 1] );
        final UniformRealDistribution distY =
            new UniformRealDistribution( rng, yValues[0], yValues[yValues.length - 1] );
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        BivariateGridInterpolator interpolator = new BicubicSplineInterpolator();
        BivariateFunction p = interpolator.interpolate(xval, yval, zval);
        double x, y;

        final RandomGenerator rng = new Well19937c(1234567L); // "tol" depends on the seed.
        final UniformRealDistribution distX
            = new UniformRealDistribution(rng, xval[0], xval[xval.length - 1]);
        final UniformRealDistribution distY
            = new UniformRealDistribution(rng, yval[0], yval[yval.length - 1]);
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        BivariateGridInterpolator interpolator = new BicubicSplineInterpolator();
        BivariateFunction p = interpolator.interpolate(xval, yval, zval);
        double x, y;

        final RandomGenerator rng = new Well19937c(1234567L); // "tol" depends on the seed.
        final UniformRealDistribution distX
            = new UniformRealDistribution(rng, xval[0], xval[xval.length - 1]);
        final UniformRealDistribution distY
            = new UniformRealDistribution(rng, yval[0], yval[yval.length - 1]);
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    public MultivariateNormalDistribution(final double[] means,
                                          final double[][] covariances)
        throws SingularMatrixException,
               DimensionMismatchException,
               NonPositiveDefiniteMatrixException {
        this(new Well19937c(), means, covariances);
    }
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     * @param exponent Exponent.
     * @exception NotStrictlyPositiveException if {@code numberOfElements <= 0}
     * or {@code exponent <= 0}.
     */
    public ZipfDistribution(final int numberOfElements, final double exponent) {
        this(new Well19937c(), numberOfElements, exponent);
    }
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     * @throws OutOfRangeException if the probability of success is not in the
     * range {@code [0, 1]}.
     */
    public PascalDistribution(int r, double p)
        throws NotStrictlyPositiveException, OutOfRangeException {
        this(new Well19937c(), r, p);
    }
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     * @throws NotStrictlyPositiveException if {@code scale <= 0}.
     * @since 2.1
     */
    public CauchyDistribution(double median, double scale,
                              double inverseCumAccuracy) {
        this(new Well19937c(), median, scale, inverseCumAccuracy);
    }
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     * @throws NotStrictlyPositiveException if {@code degreesOfFreedom <= 0}
     * @since 2.1
     */
    public TDistribution(double degreesOfFreedom, double inverseCumAccuracy)
        throws NotStrictlyPositiveException {
        this(new Well19937c(), degreesOfFreedom, inverseCumAccuracy);
    }
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     * @param inverseCumAccuracy Inverse cumulative probability accuracy.
     * @throws NotStrictlyPositiveException if {@code scale <= 0} or {@code shape <= 0}.
     */
    public ParetoDistribution(double scale, double shape, double inverseCumAccuracy)
        throws NotStrictlyPositiveException {
        this(new Well19937c(), scale, shape, inverseCumAccuracy);
    }
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    private Iterator<double[]> createRandomIterator(final long numSamples) {
        return new Iterator<double[]>() {
            /** Data. */
            final Vector3D[] points = rings.getPoints();
            /** RNG. */
            final RandomGenerator rng = new Well19937c();
            /** Number of samples. */
            private long n = 0;

            /** {@inheritDoc} */
            public boolean hasNext() {
                return n < numSamples;
            }

            /** {@inheritDoc} */
            public double[] next() {
                ++n;
                return points[rng.nextInt(points.length)].toArray();
            }

            /** {@inheritDoc} */
            public void remove() {
                throw new MathUnsupportedOperationException();
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  • org.apache.commons.math3.analysis.differentiation.DerivativeStructure
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  • org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatorTest
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  • org.apache.commons.math3.analysis.MultivariateFunction
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