Examples of RandomGenerator

br.net.woodstock.rockframework.core.string.impl.RandomGenerator
br.net.woodstock.rockframework.text.impl.RandomGenerator
br.net.woodstock.rockframework.util.RandomGenerator
com.oltpbenchmark.util.RandomGenerator
org.apache.commons.math.random.RandomGenerator
Interface extracted from java.util.Random. This interface is implemented by {@link AbstractRandomGenerator}. @since 1.1 @version $Revision: 949750 $ $Date: 2010-05-31 16:06:04 +0200 (lun. 31 mai 2010) $
org.apache.commons.math3.random.RandomGenerator
Interface extracted from java.util.Random. This interface is implemented by {@link AbstractRandomGenerator}. @since 1.1
org.xtreemfs.babudb.sandbox.RandomGenerator

If two instances of {@link Random} are created with the same seed, and the same sequence of method calls is made for each, they will generate and return identical sequences of numbers. In order to guarantee this property, particular algorithms are specified for the class {@link Random}.
This class was written for evaluating BabuDB at realistic conditions at an network/cluster. @author flangner
randomevents.generator.RandomGenerator
@author Kirill

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

                                            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,

View Full Code Here

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

        assertVectorEquals(expectedInitialState, filter.getStateEstimation());


        RealVector pNoise = new ArrayRealVector(1);
        RealVector mNoise = new ArrayRealVector(1);


        RandomGenerator rand = new JDKRandomGenerator();
        // iterate 60 steps
        for (int i = 0; i < 60; i++) {
            filter.predict();


            // Simulate the process
            pNoise.setEntry(0, processNoise * rand.nextGaussian());


            // x = A * x + p_noise
            x = A.operate(x).add(pNoise);


            // Simulate the measurement
            mNoise.setEntry(0, measurementNoise * rand.nextGaussian());


            // z = H * x + m_noise
            RealVector z = H.operate(x).add(mNoise);


            filter.correct(z);

View Full Code Here

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


        // check the initial state
        double[] expectedInitialState = new double[] { 0.0, 0.0 };
        assertVectorEquals(expectedInitialState, filter.getStateEstimation());


        RandomGenerator rand = new JDKRandomGenerator();


        RealVector tmpPNoise = new ArrayRealVector(
                new double[] { FastMath.pow(dt, 2d) / 2d, dt });


        // iterate 60 steps
        for (int i = 0; i < 60; i++) {
            filter.predict(u);


            // Simulate the process
            RealVector pNoise = tmpPNoise.mapMultiply(accelNoise * rand.nextGaussian());


            // x = A * x + B * u + pNoise
            x = A.operate(x).add(B.operate(u)).add(pNoise);


            // Simulate the measurement
            double mNoise = measurementNoise * rand.nextGaussian();


            // z = H * x + m_noise
            RealVector z = H.operate(x).mapAdd(mNoise);


            filter.correct(z);

View Full Code Here

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


        final ProcessModel pm = new DefaultProcessModel(A, B, Q, initialState, initialErrorCovariance);
        final MeasurementModel mm = new DefaultMeasurementModel(H, R);
        final KalmanFilter filter = new KalmanFilter(pm, mm);


        final RandomGenerator rng = new Well19937c(1000);
        final NormalDistribution dist = new NormalDistribution(rng, 0, measurementNoise);


        for (int i = 0; i < iterations; i++) {
            // get the "real" cannonball position
            double x = cannonball.getX();

View Full Code Here

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

                                      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);

View Full Code Here

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

    }


    @Test
    public void testGetters() {
        final DistanceMeasure measure = new CanberraDistance();
        final RandomGenerator random = new JDKRandomGenerator();
        final FuzzyKMeansClusterer<DoublePoint> clusterer =
                new FuzzyKMeansClusterer<DoublePoint>(3, 2.0, 100, measure, 1e-6, random);


        Assert.assertEquals(3, clusterer.getK());
        Assert.assertEquals(2.0, clusterer.getFuzziness(), 1e-6);

View Full Code Here

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

        final BivariateFunction bcf
            = new BicubicSplineInterpolatingFunction(xval, yval, zval,
                                                     dZdX, dZdY, dZdXdY);
        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]);

View Full Code Here

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


        BivariateFunction bcf = new BicubicSplineInterpolatingFunction(xval, yval, zval,
                                                                       dZdX, dZdY, dZdXdY);
        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]);

View Full Code Here

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


        BivariateGridInterpolator interpolator = new PiecewiseBicubicSplineInterpolator();
        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] );


        final int numSamples = 50;
        final double tol = 2e-14;

View Full Code Here

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


        BivariateGridInterpolator interpolator = new PiecewiseBicubicSplineInterpolator();
        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] );


        final int numSamples = 50;
        final double tol = 5e-13;

View Full Code Here

0 1 2 3 4 5

TOP

All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.