本文整理汇总了Java中org.apache.commons.math3.distribution.UniformRealDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY属性的典型用法代码示例。如果您正苦于以下问题：Java UniformRealDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY属性的具体用法？Java UniformRealDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY怎么用？Java UniformRealDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY使用的例子？那么, 这里精选的属性代码示例或许可以为您提供帮助。您也可以进一步了解该属性所在类org.apache.commons.math3.distribution.UniformRealDistribution的用法示例。
在下文中一共展示了UniformRealDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY属性的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: RandomCirclePointGenerator
/**
* @param x Abscissa of the circle center.
* @param y Ordinate of the circle center.
* @param radius Radius of the circle.
* @param xSigma Error on the x-coordinate of the circumference points.
* @param ySigma Error on the y-coordinate of the circumference points.
* @param seed RNG seed.
*/
public RandomCirclePointGenerator(double x,
double y,
double radius,
double xSigma,
double ySigma,
long seed) {
final RandomGenerator rng = new Well44497b(seed);
this.radius = radius;
cX = new NormalDistribution(rng, x, xSigma,
NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
cY = new NormalDistribution(rng, y, ySigma,
NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
tP = new UniformRealDistribution(rng, 0, MathUtils.TWO_PI,
UniformRealDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
}
示例2: getKernel
@Override
protected RealDistribution getKernel(SummaryStatistics bStats) {
return new UniformRealDistribution(randomData.getRandomGenerator(), bStats.getMin(), bStats.getMax(),
UniformRealDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
}
示例3: RandomStraightLinePointGenerator
/**
* The generator will create a cloud of points whose x-coordinates
* will be randomly sampled between {@code xLo} and {@code xHi}, and
* the corresponding y-coordinates will be computed as
* <pre><code>
* y = a x + b + N(0, error)
* </code></pre>
* where {@code N(mean, sigma)} is a Gaussian distribution with the
* given mean and standard deviation.
*
* @param a Slope.
* @param b Intercept.
* @param sigma Standard deviation on the y-coordinate of the point.
* @param lo Lowest value of the x-coordinate.
* @param hi Highest value of the x-coordinate.
* @param seed RNG seed.
*/
public RandomStraightLinePointGenerator(double a,
double b,
double sigma,
double lo,
double hi,
long seed) {
final RandomGenerator rng = new Well44497b(seed);
slope = a;
intercept = b;
error = new NormalDistribution(rng, 0, sigma,
NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
x = new UniformRealDistribution(rng, lo, hi,
UniformRealDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
}