markovian 0.2.1

Simulation of Markov Processes as stochastic processes.
Documentation

markovian

Simulation of Stochastic processes.

Goal

Serve as an extension of the rand crate for sub-stochastic markovian processes.

Main features

  • Easy construction of Markov processes, including:
    • Discrete time
    • Continuous time (exponential clocks)
  • Type agnostic

Changelog

See Changelog.

Contribution

Your contribution is highly appreciated. Do not hesitate to open an issue or a pull request. Note that any contribution submitted for inclusion in the project will be licensed according to the terms of the dual license (MIT and Apache-2.0).