Sampling from random number distributions
A Rust library for quant finance and simulating stochastic processes.
A lightweight, no_std-friendly random number generator backed by Xoshiro256++ with optional Mersenne Twister support.
Create arrays whose elements are independently identically distributed.
Complex numbers with rectangular and polar representations
Build glorious random walks.
Constructors for randomized arrays. `rand` integration for `ndarray`.
Constructors for randomized arrays. `rand` integration for `ndarray`.
Random number utils for for deep_causality crate.
Tiered randomness for Rust: fast PRNG, process-unique seeds, and OS-backed cryptographic random — plus bounded ranges, strings, tokens, shuffle, sample, and weighted choice. Zero dependencies, MSRV 1.75.
Rolling maximum, minimum, and sum for streams of numerical data.
A standalone library of combinators for rand::Distribution
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