Example usage for org.apache.commons.math3.exception.util LocalizedFormats LOWER_ENDPOINT_ABOVE_UPPER_ENDPOINT

Introduction

In this page you can find the example usage for org.apache.commons.math3.exception.util LocalizedFormats LOWER_ENDPOINT_ABOVE_UPPER_ENDPOINT.

Prototype

LocalizedFormats LOWER_ENDPOINT_ABOVE_UPPER_ENDPOINT

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Usage

From source file:org.nd4j.linalg.api.rng.distribution.BaseDistribution.java

/**
 * For a random variable {@code X} whose values are distributed according
 * to this distribution, this method returns {@code P(x0 < X <= x1)}.
 *
 * @param x0 Lower bound (excluded).//w  ww  .ja v  a2  s  . c  om
 * @param x1 Upper bound (included).
 * @return the probability that a random variable with this distribution
 * takes a value between {@code x0} and {@code x1}, excluding the lower
 * and including the upper endpoint.
 * @throws org.apache.commons.math3.exception.NumberIsTooLargeException if {@code x0 > x1}.
 *                                                                      <p/>
 *                                                                      The default implementation uses the identity
 *                                                                      {@code P(x0 < X <= x1) = P(X <= x1) - P(X <= x0)}
 * @since 3.1
 */

public double probability(double x0, double x1) {
    if (x0 > x1) {
        throw new NumberIsTooLargeException(LocalizedFormats.LOWER_ENDPOINT_ABOVE_UPPER_ENDPOINT, x0, x1, true);
    }
    return cumulativeProbability(x1) - cumulativeProbability(x0);
}

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From source file:org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution.java

/**
 * {@inheritDoc}/*from  w  w w . ja v  a2  s .  c  o m*/
 */
@Override
public double probability(double x0, double x1) throws NumberIsTooLargeException {
    if (x0 > x1) {
        throw new NumberIsTooLargeException(LocalizedFormats.LOWER_ENDPOINT_ABOVE_UPPER_ENDPOINT, x0, x1, true);
    }
    final double denom = standardDeviation * SQRT2;
    final double v0 = (x0 - mean) / denom;
    final double v1 = (x1 - mean) / denom;
    return 0.5 * Erf.erf(v0, v1);
}

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