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@ -16,7 +16,7 @@ class GaussianDistribution implements \Stringable
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* Square Root 2π.
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* Square Root 2π.
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* Precalculated constant for performance reasons
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* Precalculated constant for performance reasons
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* sqrt(2*pi)
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* sqrt(2*pi)
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* from https://www.wolframalpha.com/input?i=sqrt%282*pi%29
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* @link https://www.wolframalpha.com/input?i=sqrt%282*pi%29 Source of value
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*/
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*/
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private const M_SQRT_2_PI = 2.5066282746310005024157652848110452530069867406099383166299235763;
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private const M_SQRT_2_PI = 2.5066282746310005024157652848110452530069867406099383166299235763;
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@ -24,7 +24,7 @@ class GaussianDistribution implements \Stringable
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* Log of Square Root 2π.
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* Log of Square Root 2π.
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* Precalculated constant for performance reasons
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* Precalculated constant for performance reasons
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* log(sqrt(2*pi))
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* log(sqrt(2*pi))
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* From https://www.wolframalpha.com/input?i=log%28sqrt%282*pi%29%29
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* @link https://www.wolframalpha.com/input?i=log%28sqrt%282*pi%29%29 Source of value
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*/
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*/
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private const M_LOG_SQRT_2_PI = 0.9189385332046727417803297364056176398613974736377834128171515404;
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private const M_LOG_SQRT_2_PI = 0.9189385332046727417803297364056176398613974736377834128171515404;
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@ -76,7 +76,8 @@ class GaussianDistribution implements \Stringable
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}
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}
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/**
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/**
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* Great derivation of this is at http://www.astro.psu.edu/~mce/A451_2/A451/downloads/notes0.pdf
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* Great derivation of this is at
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* @link http://www.astro.psu.edu/~mce/A451_2/A451/downloads/notes0.pdf
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*/
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*/
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public function getNormalizationConstant(): float
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public function getNormalizationConstant(): float
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{
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{
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