Gillespie algorithm

The Gillespie algorithm, also known as the Gillespie stochastic simulation algorithm (SSA), is a numerical method used to simulate the time evolution of systems with probabilistic events, particularly in the context of biochemical reactions. It was developed by Daniel T. Gillespie in 1976 to address the need for modeling the dynamics of chemical systems where the number of molecules is relatively small, and where stochastic effects become significant.