Example usage for org.apache.commons.math3.random JDKRandomGenerator JDKRandomGenerator

Introduction

In this page you can find the example usage for org.apache.commons.math3.random JDKRandomGenerator JDKRandomGenerator.

Prototype

JDKRandomGenerator

Source Link

Usage

From source file:com.fpuna.preproceso.TestApacheMathLibDemo.java

/**
 * @param args//from   w w w. j  a va  2s .co  m
 */
public static void main(String[] args) {

    RandomGenerator randomGenerator = new JDKRandomGenerator();
    System.out.println(randomGenerator.nextInt());
    System.out.println(randomGenerator.nextDouble());

    /**
     * Descriptive Statistics like MEAN,GP,SD,MAX
    *
     */
    DescriptiveStatistics stats = new DescriptiveStatistics();
    stats.addValue(1);
    stats.addValue(2);
    stats.addValue(3);
    stats.addValue(4);
    stats.addValue(5);
    stats.addValue(6);
    stats.addValue(7);
    System.out.print("Mean : " + stats.getMean() + "\n");
    System.out.print("Standard deviation : " + stats.getStandardDeviation() + "\n");
    System.out.print("Max : " + stats.getMax() + "\n");

    /**
     * Complex number format a+bi
    *
     */
    Complex c1 = new Complex(1, 2);
    Complex c2 = new Complex(2, 3);
    System.out.print("Absolute of c1 " + c1.abs() + "\n");
    System.out.print("Addition : " + (c1.add(c2)) + "\n");
}

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From source file:net.liuxuan.temp.filterTest.java

public static void main(String[] args) {
    double constantVoltage = 10d;
    double measurementNoise = 0.1d;
    double processNoise = 1e-5d;

    // A = [ 1 ]//from w  ww.j a  v  a2s .  c o  m
    RealMatrix A = new Array2DRowRealMatrix(new double[] { 1d });
    // B = null
    RealMatrix B = null;
    // H = [ 1 ]
    RealMatrix H = new Array2DRowRealMatrix(new double[] { 1d });
    // x = [ 10 ]
    RealVector x = new ArrayRealVector(new double[] { constantVoltage });
    // Q = [ 1e-5 ]
    RealMatrix Q = new Array2DRowRealMatrix(new double[] { processNoise });
    // P = [ 1 ]
    RealMatrix P0 = new Array2DRowRealMatrix(new double[] { 1d });
    // R = [ 0.1 ]
    RealMatrix R = new Array2DRowRealMatrix(new double[] { measurementNoise });

    ProcessModel pm = new DefaultProcessModel(A, B, Q, x, P0);
    MeasurementModel mm = new DefaultMeasurementModel(H, R);
    KalmanFilter filter = new KalmanFilter(pm, mm);

    // process and measurement noise vectors
    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());
        pNoise.setEntry(0, Math.sin(Math.PI * 2 * i / 6));
        //            System.out.println("============");
        //            System.out.println(Math.sin(Math.PI*2*i/6));

        // x = A * x + p_noise
        x = A.operate(x).add(pNoise);
        // simulate the measurement
        //            mNoise.setEntry(0, measurementNoise * rand.nextGaussian());
        mNoise.setEntry(0, 0);

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

        double voltage = filter.getStateEstimation()[0];
        System.out.println(voltage);

        // state estimate shouldn't be larger than the measurement noise
        double diff = Math.abs(x.getEntry(0) - filter.getStateEstimation()[0]);
        System.out.println("diff = " + diff);

    }
}

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From source file:fr.inria.zenith.randomWalk.RandomWalkTsG.java

public static String[] randomWalk(int length) {
    NormalDistribution n = new NormalDistribution(new JDKRandomGenerator(), 0, 1); //mean 0 std 1 variance 1
    String[] ts = new String[length];
    double[] tstemp = new double[length];
    double[] e = new double[length - 1];

    for (int i = 0; i < e.length; i++) {
        e[i] = n.sample();//  www .j a v a2s. c o m
    }
    ts[0] = "0.0";
    for (int i = 1; i < length; i++) {
        ts[i] = (tstemp[i] = tstemp[i - 1] + e[i - 1]) + "";
    }
    return ts;
}

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From source file:cz.cuni.mff.d3s.spl.utils.DistributionUtils.java

/** Create empirical distribution from given samples.
 * /*w w  w  .j  a v  a 2  s.  c  o  m*/
 * @param samples Samples (does not need to be distinct) to use.
 * @return Empirical distribution built from the samples.
 */
public static EmpiricalDistribution makeEmpirical(double[] samples) {
    /* Be deterministic for now. */
    RandomGenerator gen = new JDKRandomGenerator();
    gen.setSeed(0);

    EmpiricalDistribution result = new EmpiricalDistribution(samples.length / 10 + 1, gen);
    result.load(samples);

    return result;
}

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From source file:fi.smaa.common.RandomUtil.java

public static RandomUtil createWithFixedSeed() {
    JDKRandomGenerator engine = new JDKRandomGenerator();
    engine.setSeed(666);/* w  w w.java  2 s  . co  m*/
    return new RandomUtil(engine);
}

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From source file:io.fabric8.example.calculator.http.GeneratorTest.java

@Test
public void testGenerator() throws Exception {

    RandomGenerator rg = new JDKRandomGenerator();
    double[] array = new double[10];

    for (int i = 0; i < array.length; i++) {
        array[i] = rg.nextDouble();/*from   w  ww .  ja va  2  s  . c o  m*/
    }

    final ObjectMapper mapper = new ObjectMapper();
    System.out.println(mapper.writeValueAsString(array));
}

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From source file:io.yields.math.framework.data.RandomIntGenerator.java

public RandomIntGenerator() {
    this(new CommonsMathIntegerRandomSequence(new JDKRandomGenerator()));
}

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From source file:io.yields.math.framework.data.RandomDoubleGenerator.java

public RandomDoubleGenerator() {
    this(new CommonsMathDoubleRandomSequence(new JDKRandomGenerator()));
}

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From source file:gdsc.smlm.model.SphericalDistribution.java

public SphericalDistribution(double radius, RandomGenerator randomGenerator) {
    if (randomGenerator == null)
        randomGenerator = new JDKRandomGenerator();
    if (radius < 0)
        throw new IllegalArgumentException("Radius must be positive: {0}");
    this.radius = radius;
    this.r2 = radius * radius;
    this.range = 2 * radius;
    this.randomGenerator = randomGenerator;
}

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From source file:io.fabric8.example.stddev.http.StdDevProcessorTest.java

@Test
public void testProcess() throws Exception {
    RandomGenerator rg = new JDKRandomGenerator();
    double[] array = new double[10];
    ObjectMapper objectMapper = new ObjectMapper();
    for (int i = 0; i < array.length; i++) {
        array[i] = rg.nextDouble();// w w w.j  av  a  2s  . c  o m
    }
    String body = objectMapper.writeValueAsString(array);
    SummaryStatistics summaryStatistics = new SummaryStatistics();
    List<Double> list = new ObjectMapper().readValue(body, List.class);
    for (Double value : list) {
        summaryStatistics.addValue(value);
    }
    String stdDev = Double.toString(summaryStatistics.getStandardDeviation());

    resultEndpoint.expectedBodiesReceived(stdDev);

    template.sendBody(body);

    resultEndpoint.assertIsSatisfied();
}

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