本文整理汇总了PHP中Statistics::regularizedGammaQ方法的典型用法代码示例。如果您正苦于以下问题：PHP Statistics::regularizedGammaQ方法的具体用法？PHP Statistics::regularizedGammaQ怎么用？PHP Statistics::regularizedGammaQ使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Statistics的用法示例。
在下文中一共展示了Statistics::regularizedGammaQ方法的2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PHP代码示例。
示例1: regularizedGammaP
/**
* Returns the regularized gamma function P(a, x).
*/
public static function regularizedGammaP($a, $x, $epsilon, $maxIterations)
{
$ret;
if (is_nan($a) || is_nan($x) || $a <= 0.0 || $x < 0.0) {
$ret = NAN;
} else {
if ($x == 0.0) {
$ret = 0.0;
} else {
if ($x >= $a + 1) {
// use regularizedGammaQ because it should converge faster in this
// case.
$ret = 1.0 - Statistics::regularizedGammaQ($a, $x, $epsilon, $maxIterations);
} else {
// calculate series
$n = 0.0;
// current element index
$an = 1.0 / $a;
// n-th element in the series
$sum = $an;
// partial sum
while (abs($an / $sum) > $epsilon && $n < $maxIterations && $sum < INF) {
// compute next element in the series
$n = $n + 1.0;
$an = $an * ($x / ($a + $n));
// update partial sum
$sum = $sum + $an;
}
if ($n >= $maxIterations) {
throw new Exception("Statistics::reqularizedGammaP: " . "max # iterations reached: " . $maxIterations);
} else {
if (is_infinite($sum)) {
$ret = 1.0;
} else {
$ret = exp(-$x + $a * log($x) - Statistics::logGamma($a)) * $sum;
}
}
}
}
}
return $ret;
}示例2: notify
try {
Statistics::invGamma1pm1(-2.5);
notify('InvGamma1pm1 too small', "Exception thrown", "Ok");
} catch (Exception $ex1) {
notify('InvGamma1pm1 too small', $ex1, $ex1);
}
try {
Statistics::invGamma1pm1(2.5);
notify('InvGamma1pm1 too large', "Exception thrown", "Ok");
} catch (Exception $ex1) {
notify('InvGamma1pm1 too large', $ex1, $ex1);
}
notify('Lanczos', 19.194552097849, Statistics::lanczos(0.5));
notify('LogGamma', 0.5723649429247, Statistics::logGamma(0.5));
notify('RegularizedGammaP', 0.77932863808015, Statistics::regularizedGammaP(0.5, 0.75, 1.0E-15, 10000));
notify('RegularizedGammaQ', 0.061368829139402, Statistics::regularizedGammaQ(0.5, 1.75, 1.0E-15, 10000));
// Global test
$rtgm->calculate();
notify('Get risk coefficient', $riskCoeff, $rtgm->riskCoeff);
notify('Get rtgm iter', $rtgmIters, $rtgm->rtgmIters);
notify('Get risk iter', $riskIters, $rtgm->riskIters);
printf("\nriskCoeff: %s\n", $rtgm->riskCoeff);
printf("rtgmIters: [%s]\n", implode(', ', $rtgm->rtgmIters));
printf("riskIters: [%s]\n", implode(', ', $rtgm->riskIters));
} catch (Exception $e) {
print $e->getMessage() . "\n";
}
exit($exit_code);
?>