本文整理了Java中org.apache.commons.math3.random.RandomDataGenerator.nextGamma方法的一些代码示例，展示了RandomDataGenerator.nextGamma的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。RandomDataGenerator.nextGamma方法的具体详情如下：
包路径：org.apache.commons.math3.random.RandomDataGenerator
类名称：RandomDataGenerator
方法名：nextGamma

RandomDataGenerator.nextGamma介绍

[英]Generates a random value from the org.apache.commons.math3.distribution.GammaDistribution.

This implementation uses the following algorithms:

For 0 < shape < 1:
Ahrens, J. H. and Dieter, U., Computer methods for sampling from gamma, beta, Poisson and binomial distributions. Computing, 12, 223-246, 1974.

For shape >= 1:
Marsaglia and Tsang, A Simple Method for Generating Gamma Variables. ACM Transactions on Mathematical Software, Volume 26 Issue 3, September, 2000.
[中]从组织生成一个随机值。阿帕奇。平民数学3。分配分配。
此实现使用以下算法：
对于0<形状<1：
Ahrens，J.H.和Dieter，U.，《从伽马分布、贝塔分布、泊松分布和二项分布中取样的计算机方法》。《计算机》，12223-2461974年。
对于大于等于1的形状：
Marsaglia和Tsang，一种生成伽马变量的简单方法。ACM数学软件交易，第26卷，第3期，2000年9月。

代码示例

代码示例来源：origin: org.apache.commons/commons-math3

/**
 * <p>Generates a random value from the
 * {@link org.apache.commons.math3.distribution.GammaDistribution Gamma Distribution}.</p>
 *
 * <p>This implementation uses the following algorithms: </p>
 *
 * <p>For 0 < shape < 1: <br/>
 * Ahrens, J. H. and Dieter, U., <i>Computer methods for
 * sampling from gamma, beta, Poisson and binomial distributions.</i>
 * Computing, 12, 223-246, 1974.</p>
 *
 * <p>For shape >= 1: <br/>
 * Marsaglia and Tsang, <i>A Simple Method for Generating
 * Gamma Variables.</i> ACM Transactions on Mathematical Software,
 * Volume 26 Issue 3, September, 2000.</p>
 *
 * @param shape the median of the Gamma distribution
 * @param scale the scale parameter of the Gamma distribution
 * @return random value sampled from the Gamma(shape, scale) distribution
 * @throws NotStrictlyPositiveException if {@code shape <= 0} or
 * {@code scale <= 0}.
 * @since 2.2
 */
public double nextGamma(double shape, double scale) throws NotStrictlyPositiveException {
  return delegate.nextGamma(shape, scale);
}

代码示例来源：origin: geogebra/geogebra

/**
 * <p>Generates a random value from the
 * {@link org.apache.commons.math3.distribution.GammaDistribution Gamma Distribution}.</p>
 *
 * <p>This implementation uses the following algorithms: </p>
 *
 * <p>For 0 < shape < 1: <br/>
 * Ahrens, J. H. and Dieter, U., <i>Computer methods for
 * sampling from gamma, beta, Poisson and binomial distributions.</i>
 * Computing, 12, 223-246, 1974.</p>
 *
 * <p>For shape >= 1: <br/>
 * Marsaglia and Tsang, <i>A Simple Method for Generating
 * Gamma Variables.</i> ACM Transactions on Mathematical Software,
 * Volume 26 Issue 3, September, 2000.</p>
 *
 * @param shape the median of the Gamma distribution
 * @param scale the scale parameter of the Gamma distribution
 * @return random value sampled from the Gamma(shape, scale) distribution
 * @throws NotStrictlyPositiveException if {@code shape <= 0} or
 * {@code scale <= 0}.
 * @since 2.2
 */
public double nextGamma(double shape, double scale) throws NotStrictlyPositiveException {
  return delegate.nextGamma(shape, scale);
}

代码示例来源：origin: io.virtdata/virtdata-lib-realer

/**
 * <p>Generates a random value from the
 * {@link org.apache.commons.math3.distribution.GammaDistribution Gamma Distribution}.</p>
 *
 * <p>This implementation uses the following algorithms: </p>
 *
 * <p>For 0 < shape < 1: <br/>
 * Ahrens, J. H. and Dieter, U., <i>Computer methods for
 * sampling from gamma, beta, Poisson and binomial distributions.</i>
 * Computing, 12, 223-246, 1974.</p>
 *
 * <p>For shape >= 1: <br/>
 * Marsaglia and Tsang, <i>A Simple Method for Generating
 * Gamma Variables.</i> ACM Transactions on Mathematical Software,
 * Volume 26 Issue 3, September, 2000.</p>
 *
 * @param shape the median of the Gamma distribution
 * @param scale the scale parameter of the Gamma distribution
 * @return random value sampled from the Gamma(shape, scale) distribution
 * @throws NotStrictlyPositiveException if {@code shape <= 0} or
 * {@code scale <= 0}.
 * @since 2.2
 */
public double nextGamma(double shape, double scale) throws NotStrictlyPositiveException {
  return delegate.nextGamma(shape, scale);
}

代码示例来源：origin: zitmen/thunderstorm

/**
 * Replaces each pixel value with a sample from a Gamma distribution with shape equal to the original pixel value and scale equal to the gain parameter.
 */
FloatProcessor sampleGamma(FloatProcessor fp, double gain){
  for(int i = 0; i < fp.getPixelCount(); i ++){
    double value = fp.getf(i);
    value = rand.nextGamma(value + 1e-10, gain);
    fp.setf(i, (float)value);
  }
  return fp;
}