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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