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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