Markov Chains, Data Science.
in complex systems with uncertainty or variability. It is an alternative to complex numerical methods. Examples of Monte Carlo simulation optimizing the geometry of nuclear reactors and atomic bombs and the simulation of stock prices. It essentially uses randomness to estimate some deterministic