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org.apache.commons.math3.distribution.ZipfDistribution.calculateNumericalMean()方法的使用及代码示例

转载 作者:知者 更新时间:2024-03-15 07:42:49 27 4
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本文整理了Java中org.apache.commons.math3.distribution.ZipfDistribution.calculateNumericalMean()方法的一些代码示例,展示了ZipfDistribution.calculateNumericalMean()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。ZipfDistribution.calculateNumericalMean()方法的具体详情如下:
包路径:org.apache.commons.math3.distribution.ZipfDistribution
类名称:ZipfDistribution
方法名:calculateNumericalMean

ZipfDistribution.calculateNumericalMean介绍

[英]Used by #getNumericalMean().
[中]由#getNumericalMean()使用。

代码示例

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

/**
 * {@inheritDoc}
 *
 * For number of elements {@code N} and exponent {@code s}, the mean is
 * {@code Hs1 / Hs}, where
 * <ul>
 *  <li>{@code Hs1 = generalizedHarmonic(N, s - 1)},</li>
 *  <li>{@code Hs = generalizedHarmonic(N, s)}.</li>
 * </ul>
 */
public double getNumericalMean() {
  if (!numericalMeanIsCalculated) {
    numericalMean = calculateNumericalMean();
    numericalMeanIsCalculated = true;
  }
  return numericalMean;
}

代码示例来源:origin: geogebra/geogebra

/**
 * {@inheritDoc}
 *
 * For number of elements {@code N} and exponent {@code s}, the mean is
 * {@code Hs1 / Hs}, where
 * <ul>
 *  <li>{@code Hs1 = generalizedHarmonic(N, s - 1)},</li>
 *  <li>{@code Hs = generalizedHarmonic(N, s)}.</li>
 * </ul>
 */
public double getNumericalMean() {
  if (!numericalMeanIsCalculated) {
    numericalMean = calculateNumericalMean();
    numericalMeanIsCalculated = true;
  }
  return numericalMean;
}

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

/**
 * {@inheritDoc}
 *
 * For number of elements {@code N} and exponent {@code s}, the mean is
 * {@code Hs1 / Hs}, where
 * <ul>
 *  <li>{@code Hs1 = generalizedHarmonic(N, s - 1)},</li>
 *  <li>{@code Hs = generalizedHarmonic(N, s)}.</li>
 * </ul>
 */
public double getNumericalMean() {
  if (!numericalMeanIsCalculated) {
    numericalMean = calculateNumericalMean();
    numericalMeanIsCalculated = true;
  }
  return numericalMean;
}

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