Examples of org.apache.commons.math.random.RandomDataImpl.nextGaussian()

Class org.apache.commons.math.random.RandomDataImpl

Examples of org.apache.commons.math.random.RandomDataImpl.nextGaussian()

org.apache.commons.math.random.RandomDataImpl.nextGaussian()
Generate a random value from a Normal (a.k.a. Gaussian) distribution with the given mean, mu and the given standard deviation, sigma. @param mu the mean of the distribution @param sigma the standard deviation of the distribution @return the random Normal value @throws NotStrictlyPositiveException if {@code sigma <= 0}.

        // Fill values array with random data from N(mu, sigma)
        // and fill valuesList with values from values array with
        // values[i] repeated weights[i] times, each i
        List<Double> valuesList = new ArrayList<Double>();
        for (int i = 0; i < len; i++) {
            double value = randomData.nextGaussian(mu, sigma);
            values[i] = value;
            for (int j = 0; j < intWeights[i]; j++) {
                valuesList.add(new Double(value));
            }
        }

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  public static double getRandom(double mean, double stdDev)
  {
    RandomDataImpl randomDataImpl = new RandomDataImpl();
    randomDataImpl.reSeedSecure(1000);
    return randomDataImpl.nextGaussian(mean, stdDev);
  }
  
  public static Strategy getStrategy(int strategyID, ArrayList<Strategy> strategies)
  {
    for(Strategy s : strategies)

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        // Fill values array with random data from N(mu, sigma)
        // and fill valuesList with values from values array with
        // values[i] repeated weights[i] times, each i
        List<Double> valuesList = new ArrayList<Double>();
        for (int i = 0; i < len; i++) {
            double value = randomData.nextGaussian(mu, sigma);
            values[i] = value;
            for (int j = 0; j < intWeights[i]; j++) {
                valuesList.add(new Double(value));
            }
        }

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