Expand description
Special functions module
This module provides implementations of various special mathematical functions commonly used in statistical and scientific computing. It includes:
-
Basic special functions:
- Gaussian (Normal) function
- Gamma function and its logarithm
- Pochhammer symbol (rising factorial)
-
Incomplete special functions:
- Regularized incomplete gamma function and its inverse
- Regularized incomplete beta function and its inverse
-
Error functions:
- Error function (erf) and its complement (erfc)
- Inverse error function and inverse complementary error function
-
Other functions:
- Beta function
- Phi function (CDF of the standard normal distribution)
- Lambert W function (principal branch W₀ and secondary branch W₋₁)
Many of these functions are implemented using efficient numerical approximations
or by wrapping functions from other crates (e.g., puruspe
, lambert_w
).
The module also includes an enum LambertWAccuracyMode
to control the
accuracy-speed trade-off for Lambert W function calculations.
Modules§
- Lanczos approximation Coefficient generator