See: Description
Class | Description |
---|---|
Digamma | |
Erf | |
Erfc | |
ErfDifference |
Computes the difference between
error function values . |
Gamma | |
InverseErf |
Inverse of the error function.
|
InverseErfc |
Inverse of the complementary error function.
|
LanczosApproximation |
Lanczos approximation to the Gamma function.
|
LogBeta |
Computes \( log_e \Beta(p, q) \).
|
LogGamma |
Function \( \ln \Gamma(x) \).
|
RegularizedBeta | |
RegularizedGamma | |
RegularizedGamma.P |
\( P(a, x) \)
regularized Gamma function.
|
RegularizedGamma.Q |
Creates the \( Q(a, x) \equiv 1 - P(a, x) \)
regularized Gamma function.
|
Trigamma |
InvGamma1pm1
and LogGamma1p
is based on the
algorithms described in
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