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

Class org.apache.commons.math3.random.MersenneTwister

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

org.apache.commons.math3.random.MersenneTwister.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

        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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        RandomGenerator random = new Well1024a(0x16992fc4294bf2f1l);
        UnitSphereRandomVectorGenerator sphRandom = new UnitSphereRandomVectorGenerator(3, random);
        for (int i = 0; i < 100; ++i) {


            Rotation r = new Rotation(new Vector3D(sphRandom.nextVector()),
                                      FastMath.PI * random.nextDouble());
            Transform<Sphere2D, Sphere1D> t = Circle.getTransform(r);


            S2Point  p = new S2Point(new Vector3D(sphRandom.nextVector()));
            S2Point tp = (S2Point) t.apply(p);
            Assert.assertEquals(0.0, r.applyTo(p.getVector()).distance(tp.getVector()), 1.0e-10);

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            Assert.assertEquals(0.0, r.applyTo(c.getPole()).distance(tc.getPole()),   1.0e-10);
            Assert.assertEquals(0.0, r.applyTo(c.getXAxis()).distance(tc.getXAxis()), 1.0e-10);
            Assert.assertEquals(0.0, r.applyTo(c.getYAxis()).distance(tc.getYAxis()), 1.0e-10);
            Assert.assertEquals(c.getTolerance(), ((Circle) t.apply(c)).getTolerance(), 1.0e-10);


            SubLimitAngle  sub = new LimitAngle(new S1Point(MathUtils.TWO_PI * random.nextDouble()),
                                                random.nextBoolean(), 1.0e-10).wholeHyperplane();
            Vector3D psub = c.getPointAt(((LimitAngle) sub.getHyperplane()).getLocation().getAlpha());
            SubLimitAngle tsub = (SubLimitAngle) t.apply(sub, c, tc);
            Vector3D ptsub = tc.getPointAt(((LimitAngle) tsub.getHyperplane()).getLocation().getAlpha());
            Assert.assertEquals(0.0, r.applyTo(psub).distance(ptsub), 1.0e-10);

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    @Test
    public void testRandom() {
        final RandomGenerator random = new Well1024a(0xd015982e9f31ee04l);
        final UnitSphereRandomVectorGenerator sr = new UnitSphereRandomVectorGenerator(3, random);
        for (int i = 0; i < 100; ++i) {
            double d = 25 * random.nextDouble();
            double refRadius = 10 * random.nextDouble();
            Vector3D refCenter = new Vector3D(d, new Vector3D(sr.nextVector()));
            List<Vector3D> support = new ArrayList<Vector3D>();
            for (int j = 0; j < 5; ++j) {
                support.add(new Vector3D(1.0, refCenter, refRadius, new Vector3D(sr.nextVector())));

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    public void testRandom() {
        final RandomGenerator random = new Well1024a(0xd015982e9f31ee04l);
        final UnitSphereRandomVectorGenerator sr = new UnitSphereRandomVectorGenerator(3, random);
        for (int i = 0; i < 100; ++i) {
            double d = 25 * random.nextDouble();
            double refRadius = 10 * random.nextDouble();
            Vector3D refCenter = new Vector3D(d, new Vector3D(sr.nextVector()));
            List<Vector3D> support = new ArrayList<Vector3D>();
            for (int j = 0; j < 5; ++j) {
                support.add(new Vector3D(1.0, refCenter, refRadius, new Vector3D(sr.nextVector())));
            }

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        // create the cloud container
        List<Vector2D> points = new ArrayList<Vector2D>(size);
        // fill the cloud with a random distribution of points
        for (int i = 0; i < size; i++) {
            points.add(new Vector2D(FastMath.round(random.nextDouble() * 400 + 100),
                    FastMath.round(random.nextDouble() * 400 + 100)));
        }
        
        return points;
    }

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        // create the cloud container
        List<Vector2D> points = new ArrayList<Vector2D>(size);
        // fill the cloud with a random distribution of points
        for (int i = 0; i < size; i++) {
            points.add(new Vector2D(FastMath.round(random.nextDouble() * 400 + 100),
                    FastMath.round(random.nextDouble() * 400 + 100)));
        }
        
        return points;
    }

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