本文整理了Java中org.apache.commons.rng.sampling.distribution.ZigguratNormalizedGaussianSampler.<init>()方法的一些代码示例，展示了ZigguratNormalizedGaussianSampler.<init>()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。ZigguratNormalizedGaussianSampler.<init>()方法的具体详情如下：
包路径：org.apache.commons.rng.sampling.distribution.ZigguratNormalizedGaussianSampler
类名称：ZigguratNormalizedGaussianSampler
方法名：<init>

ZigguratNormalizedGaussianSampler.<init>介绍

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代码示例

代码示例来源：origin: io.virtdata/virtdata-lib-curves4

/**
 * @param dimension Space dimension.
 * @param rng Generator for the individual components of the vectors.
 * A shallow copy will be stored in this instance.
 */
public UnitSphereSampler(int dimension,
             UniformRandomProvider rng) {
  this.dimension = dimension;
  sampler = new ZigguratNormalizedGaussianSampler(rng);
}

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

/**
 * @param dimension Space dimension.
 * @param rng Generator for the individual components of the vectors.
 * A shallow copy will be stored in this instance.
 */
public UnitSphereSampler(int dimension,
             UniformRandomProvider rng) {
  if (dimension <= 0) {
    throw new IllegalArgumentException("Dimension must be strictly positive");
  }
  this.dimension = dimension;
  sampler = new ZigguratNormalizedGaussianSampler(rng);
}

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

/**
 * @param rng Generator of uniformly distributed random numbers.
 * @param alpha Alpha parameter of the distribution.
 * @param theta Theta parameter of the distribution.
 */
public AhrensDieterMarsagliaTsangGammaSampler(UniformRandomProvider rng,
                       double alpha,
                       double theta) {
  super(null);
  this.rng = rng;
  this.alpha = alpha;
  this.theta = theta;
  gaussian = new ZigguratNormalizedGaussianSampler(rng);
  oneOverTheta = 1 / theta;
  bGSOptim = 1 + theta / Math.E;
  dOptim = theta - ONE_THIRD;
  cOptim = ONE_THIRD / Math.sqrt(dOptim);
}

代码示例来源：origin: io.virtdata/virtdata-lib-curves4

/**
 * @param rng Generator of uniformly distributed random numbers.
 * @param alpha Alpha parameter of the distribution.
 * @param theta Theta parameter of the distribution.
 */
public AhrensDieterMarsagliaTsangGammaSampler(UniformRandomProvider rng,
                       double alpha,
                       double theta) {
  super(null);
  this.rng = rng;
  this.alpha = alpha;
  this.theta = theta;
  gaussian = new ZigguratNormalizedGaussianSampler(rng);
  oneOverTheta = 1 / theta;
  bGSOptim = 1 + theta / Math.E;
  dOptim = theta - ONE_THIRD;
  cOptim = ONE_THIRD / Math.sqrt(dOptim);
}

代码示例来源：origin: org.apache.commons/commons-rng-examples-jpms-lib

/**
 * @param players Number of players.
 * @param rounds Number of rounds.
 * @param mu Mean.
 * @param sigma Standard deviation.
 * @param rng RNG.
 */
public DiceGame(int players,
        int rounds,
        UniformRandomProvider rng,
        double mu,
        double sigma) {
  this.rng = rng;
  this.rounds = rounds;
  this.players = players;
  sampler = new GaussianSampler(new ZigguratNormalizedGaussianSampler(rng), mu, sigma);
}

代码示例来源：origin: io.virtdata/virtdata-lib-curves4

gaussian = new ZigguratNormalizedGaussianSampler(rng);
exponential = new AhrensDieterExponentialSampler(rng, 1);

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

gaussian = new ZigguratNormalizedGaussianSampler(rng);
exponential = new AhrensDieterExponentialSampler(rng, 1);

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

gaussian = new ZigguratNormalizedGaussianSampler(rng);
exponential = new AhrensDieterExponentialSampler(rng, 1);