Examples of org.apache.commons.math.random.RandomData.nextUniform()

Class org.apache.commons.math.random.RandomData

Examples of org.apache.commons.math.random.RandomData.nextUniform()

org.apache.commons.math.random.RandomData.nextUniform()
tl.nist.gov/div898/handbook/eda/section3/eda3662.htm"> Uniform Distribution lower and upper - lower are the location and scale parameters, respectively.

Preconditions:
- lower < upper (otherwise an IllegalArgumentException is thrown.)
@param lower lower endpoint of the interval of support @param upper upper endpoint of the interval of support @return uniformly distributed random value between lowerand upper (exclusive)

    if (range.getMinimumNumber() instanceof Long && range.getMaximumNumber() instanceof Long) {
      result = randomData.nextLong(range.getMinimumLong(), range.getMaximumLong());
    }


    if (range.getMinimumNumber() instanceof Float && range.getMaximumNumber() instanceof Float) {
      result = randomData.nextUniform(range.getMinimumFloat(), range.getMaximumFloat());
    }


    if (range.getMinimumNumber() instanceof Double && range.getMaximumNumber() instanceof Double) {
      result = randomData.nextUniform(range.getMinimumDouble(), range.getMaximumDouble());
    }

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    if (range.getMinimumNumber() instanceof Float && range.getMaximumNumber() instanceof Float) {
      result = randomData.nextUniform(range.getMinimumFloat(), range.getMaximumFloat());
    }


    if (range.getMinimumNumber() instanceof Double && range.getMaximumNumber() instanceof Double) {
      result = randomData.nextUniform(range.getMinimumDouble(), range.getMaximumDouble());
    }


    return result;
  }

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    private double[] generateSample() {
        final RandomData randomData = new RandomDataImpl();
        final int sampleSize = randomData.nextInt(10,100);
        double[] out = new double[sampleSize];
        for (int i = 0; i < out.length; i++) {
            out[i] = randomData.nextUniform(-100, 100);
        }
        return out;
    }


    /**

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    private double[] generateSample() {
        final RandomData randomData = new RandomDataImpl();
        final int sampleSize = randomData.nextInt(10,100);
        double[] out = new double[sampleSize];
        for (int i = 0; i < out.length; i++) {
            out[i] = randomData.nextUniform(-100, 100);
        }
        return out;     
    }
    
    /**

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