See: Description
| Class | Description |
|---|---|
| Beta | |
| Digamma | |
| Erf | |
| Erfc | |
| Erfcx |
Scaled complementary error function.
|
| ErfDifference |
Computes the difference between
error function values. |
| Gamma |
Gamma
function \( \Gamma(x) \).
|
| GammaRatio |
Ratio of Gamma
functions.
|
| IncompleteBeta | |
| IncompleteGamma | |
| IncompleteGamma.Lower |
Lower incomplete Gamma function \( \gamma(a, x) \).
|
| IncompleteGamma.Upper |
Upper incomplete Gamma function \( \Gamma(a, x) \).
|
| InverseErf |
Inverse of the error function.
|
| InverseErfc |
Inverse of the complementary error function.
|
| LanczosApproximation |
Lanczos approximation to the Gamma function.
|
| LogBeta |
Computes \( log_e B(p, q) \).
|
| LogGamma |
Natural logarithm of the absolute value of \( \Gamma(x) \).
|
| RegularizedBeta | |
| RegularizedGamma | |
| RegularizedGamma.P |
Lower regularized Gamma function \( P(a, x) \).
|
| RegularizedGamma.Q |
Upper regularized Gamma function \( Q(a, x) \).
|
| Trigamma |
InvGamma1pm1
and LogGamma1p is based on the
algorithms described in
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