Numpy-compatible bit generators and add some random variate distributions missing from NumPy.
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Updated
Nov 24, 2025 - C
Numpy-compatible bit generators and add some random variate distributions missing from NumPy.
Rcpp bindings for different Ziggurat RNG implementations
Fast Gaussian distributed pseudorandom number generation in Java via the Ziggurat algorithm
Mathematical proof of functionality, of a highly efficient pseudo-random number generator: The Ziggurat Method
Ziggurat normal random number generator
The Ziggurat Algorithm is a Fast and Efficient Algorithm for Pseudo-Random Number Sampling, Mainly used for Generating Random Values from Monotonically Decreasing Probability Distributions, Including the Normal (Gaussian) Distribution
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