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rector: codingStyle

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This commit is contained in:
Jens True
2024-02-21 13:48:37 +00:00
parent f3e5912ebb
commit 0184d0432b
24 changed files with 86 additions and 76 deletions
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8
src/Numerics/GaussianDistribution.php
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@ -15,10 +15,11 @@ class GaussianDistribution implements \Stringable
//sqrt(2*pi)
//from https://www.wolframalpha.com/input?i=sqrt%282*pi%29
private const M_SQRT_2_PI = 2.5066282746310005024157652848110452530069867406099383166299235763;
//log(sqrt(2*pi))
//From https://www.wolframalpha.com/input?i=log%28sqrt%282*pi%29%29
private const M_LOG_SQRT_2_PI = 0.9189385332046727417803297364056176398613974736377834128171515404;
// precision and precisionMean are used because they make multiplying and dividing simpler
// (the the accompanying math paper for more details)
private float $precision;
@ -209,7 +210,7 @@ class GaussianDistribution implements \Stringable
$d = 0.0;
$dd = 0.0;
for ($j = $ncof - 1; $j > 0; $j--) {
for ($j = $ncof - 1; $j > 0; --$j) {
$tmp = $d;
$d = $ty * $d - $dd + $coefficients[$j];
$dd = $tmp;
@ -227,6 +228,7 @@ class GaussianDistribution implements \Stringable
if ($p >= 2.0) {
return -100;
}
if ($p <= 0.0) {
return 100;
}
@ -235,7 +237,7 @@ class GaussianDistribution implements \Stringable
$t = sqrt(-2 * log($pp / 2.0)); // Initial guess
$x = -M_SQRT1_2 * ((2.30753 + $t * 0.27061) / (1.0 + $t * (0.99229 + $t * 0.04481)) - $t);
for ($j = 0; $j < 2; $j++) {
for ($j = 0; $j < 2; ++$j) {
$err = GaussianDistribution::errorFunctionCumulativeTo($x) - $pp;
$x += $err / (M_2_SQRTPI * exp(-BasicMath::square($x)) - $x * $err); // Halley
}