Normal Class 
Namespace: Accord.Math
The Normal type exposes the following members.
Name  Description  

Bivariate 
Bivariate normal cumulative distribution function.
 
BivariateComplemented 
Complemented bivariate normal cumulative distribution function.
 
Complemented 
Complemented cumulative distribution function.
 
Derivative 
First derivative of Normal cumulative
distribution function, also known as the Normal density
function.
 
Function 
Normal cumulative distribution function.
 
Gaussian 
1D Gaussian function.
 
Gaussian2D 
2D Gaussian function.
 
HighAccuracyComplemented 
Highaccuracy Complementary normal distribution function.
 
HighAccuracyFunction 
Highaccuracy Normal cumulative distribution function.
 
Inverse 
Normal (Gaussian) inverse cumulative distribution function.
 
Kernel 
1D Gaussian kernel.
 
Kernel2D 
2D Gaussian kernel.
 
Log 
Normal cumulative distribution function.
 
LogDerivative 
Log of the first derivative of Normal cumulative
distribution function, also known as the Normal density function.

The following example shows the normal usages for the Normal functions:
// Compute standard precision functions double phi = Normal.Function(0.42); // 0.66275727315175048 double phic = Normal.Complemented(0.42); // 0.33724272684824952 double inv = Normal.Inverse(0.42); // 0.20189347914185085 // Compute at the limits double phi = Normal.Function(16.6); // 1.0 double phic = Normal.Complemented(16.6); // 3.4845465199504055E62