Examples of org.apache.commons.math3.random.RandomGenerator.nextDouble()

Class org.apache.commons.math3.random.RandomGenerator

Examples of org.apache.commons.math3.random.RandomGenerator.nextDouble()

org.apache.commons.math3.random.RandomGenerator.nextDouble()
Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence. @return the next pseudorandom, uniformly distributeddouble value between 0.0 and 1.0 from this random number generator's sequence

        final UnitSphereRandomVectorGenerator sr = new UnitSphereRandomVectorGenerator(3, random);
        for (int k = 0; k < 50; ++k) {


            // define the reference sphere we want to compute
            double d = 25 * random.nextDouble();
            double refRadius = 10 * random.nextDouble();
            Vector3D refCenter = new Vector3D(d, new Vector3D(sr.nextVector()));
            // set up a large sample inside the reference sphere
            int nbPoints = random.nextInt(1000);
            List<Vector3D> points = new ArrayList<Vector3D>();
            for (int i = 0; i < nbPoints; ++i) {

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            Vector3D refCenter = new Vector3D(d, new Vector3D(sr.nextVector()));
            // set up a large sample inside the reference sphere
            int nbPoints = random.nextInt(1000);
            List<Vector3D> points = new ArrayList<Vector3D>();
            for (int i = 0; i < nbPoints; ++i) {
                double r = refRadius * random.nextDouble();
                points.add(new Vector3D(1.0, refCenter, r, new Vector3D(sr.nextVector())));
            }


            // test we find a sphere at most as large as the one used for random drawings
            checkSphere(points, refRadius);

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        RandomGenerator random = new Well1024a(0xa2a63cad12c01fb2l);
        for (int k = 0; k < 100; ++k) {
            int nbPoints = random.nextInt(10000);
            List<Vector2D> points = new ArrayList<Vector2D>();
            for (int i = 0; i < nbPoints; ++i) {
                double x = random.nextDouble();
                double y = random.nextDouble();
                points.add(new Vector2D(x, y));
            }
            checkDisk(points);
        }

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        for (int k = 0; k < 100; ++k) {
            int nbPoints = random.nextInt(10000);
            List<Vector2D> points = new ArrayList<Vector2D>();
            for (int i = 0; i < nbPoints; ++i) {
                double x = random.nextDouble();
                double y = random.nextDouble();
                points.add(new Vector2D(x, y));
            }
            checkDisk(points);
        }
    }

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    @Test
    public void testRandom() {
        final RandomGenerator random = new Well1024a(0x12faa818373ffe90l);
        final UnitSphereRandomVectorGenerator sr = new UnitSphereRandomVectorGenerator(2, random);
        for (int i = 0; i < 500; ++i) {
            double d = 25 * random.nextDouble();
            double refRadius = 10 * random.nextDouble();
            Vector2D refCenter = new Vector2D(d, new Vector2D(sr.nextVector()));
            List<Vector2D> support = new ArrayList<Vector2D>();
            for (int j = 0; j < 3; ++j) {
                support.add(new Vector2D(1.0, refCenter, refRadius, new Vector2D(sr.nextVector())));

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    public void testRandom() {
        final RandomGenerator random = new Well1024a(0x12faa818373ffe90l);
        final UnitSphereRandomVectorGenerator sr = new UnitSphereRandomVectorGenerator(2, random);
        for (int i = 0; i < 500; ++i) {
            double d = 25 * random.nextDouble();
            double refRadius = 10 * random.nextDouble();
            Vector2D refCenter = new Vector2D(d, new Vector2D(sr.nextVector()));
            List<Vector2D> support = new ArrayList<Vector2D>();
            for (int j = 0; j < 3; ++j) {
                support.add(new Vector2D(1.0, refCenter, refRadius, new Vector2D(sr.nextVector())));
            }

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        for (int i = 0; i < 10000; ++i) {
            final SparseGradient[] u = new SparseGradient[4];
            final SparseGradient[] v = new SparseGradient[4];
            for (int j = 0; j < u.length; ++j) {
                u[j] = SparseGradient.createVariable(j, 1e17 * random.nextDouble());
                v[j] = SparseGradient.createConstant(1e17 * random.nextDouble());
            }


            SparseGradient lin = u[0].linearCombination(u[0], v[0], u[1], v[1]);
            double ref = u[0].getValue() * v[0].getValue() +

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        for (int i = 0; i < 10000; ++i) {
            final SparseGradient[] u = new SparseGradient[4];
            final SparseGradient[] v = new SparseGradient[4];
            for (int j = 0; j < u.length; ++j) {
                u[j] = SparseGradient.createVariable(j, 1e17 * random.nextDouble());
                v[j] = SparseGradient.createConstant(1e17 * random.nextDouble());
            }


            SparseGradient lin = u[0].linearCombination(u[0], v[0], u[1], v[1]);
            double ref = u[0].getValue() * v[0].getValue() +
                         u[1].getValue() * v[1].getValue();

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        for (int i = 0; i < 10000; ++i) {
            final double[] u = new double[4];
            final SparseGradient[] v = new SparseGradient[4];
            for (int j = 0; j < u.length; ++j) {
                u[j] = 1e17 * random.nextDouble();
                v[j] = SparseGradient.createVariable(j, 1e17 * random.nextDouble());
            }


            SparseGradient lin = v[0].linearCombination(u[0], v[0], u[1], v[1]);
            double ref = u[0] * v[0].getValue() +

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        for (int i = 0; i < 10000; ++i) {
            final double[] u = new double[4];
            final SparseGradient[] v = new SparseGradient[4];
            for (int j = 0; j < u.length; ++j) {
                u[j] = 1e17 * random.nextDouble();
                v[j] = SparseGradient.createVariable(j, 1e17 * random.nextDouble());
            }


            SparseGradient lin = v[0].linearCombination(u[0], v[0], u[1], v[1]);
            double ref = u[0] * v[0].getValue() +
                         u[1] * v[1].getValue();

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