A demonstration of Brownian motion using simple Monte Carlo simulation
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Updated
Aug 7, 2017 - Mathematica
A demonstration of Brownian motion using simple Monte Carlo simulation
Efficient canonical floating-point random number generator with fully random fraction bits
Statistical tests for random dice-rolling programs
A fast generator of discrete random numbers.
Statistics library for Dart
BSD licensed random number generators and distributions for C and Fortran
The code from NIST SP-800-22 for testing random-number generators, along with docs for reference
A modern header-only C++ library for parallel algorithmic (pseudo) random number generation supporting OpenMP, CUDA, ROCm and oneAPI
Generate a random number between a given range.
Rust implementation of a fast, bounded, Zipf-distributed random number generator
Numpy-compatible bit generators and add some random variate distributions missing from NumPy.
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