Handles the full family of these generators featuring arbitrary jump sizes, stream partitioning for parallel applications, and, like this library, a number of convenience sampling methods to shield the casual user from the complexities of using <random>.
Can be used with a companion `bit` library (https://github.com/nessan/bit) that performs efficient linear algebra and polynomial reduction over GF(2) for those that want to explore some of the mathematics behind these linear generators.
https://github.com/nessan/xoshiro
Documented at: https://nessan.github.io/xoshiro/
Handles the full family of these generators featuring arbitrary jump sizes, stream partitioning for parallel applications, and, like this library, a number of convenience sampling methods to shield the casual user from the complexities of using <random>.
Can be used with a companion `bit` library (https://github.com/nessan/bit) that performs efficient linear algebra and polynomial reduction over GF(2) for those that want to explore some of the mathematics behind these linear generators.