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
).
The module also includes an enum LambertWAccuracyMode
to control the
accuracy-speed trade-off for Lambert W function calculations.
Modules§
- Lanczos approximation Coefficient generator