DiffEqJump.jl

Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)
Author SciML
Popularity
36 Stars
Updated Last
3 Months Ago
Started In
February 2017

DiffEqJump.jl

Join the chat at https://gitter.im/JuliaDiffEq/Lobby Build Status Coverage Status codecov.io Stable Dev

DiffEqJump.jl is a component package in the SciML ecosystem. It holds the utilities for building jump equations, like stochastic simulation algorithms (SSAs), Gillespie methods or Kinetic Monte Carlo methods; and for building jump diffusions. It is one of the core solver libraries included in DifferentialEquations.jl. Users interested in using this functionality should see the DifferentialEquations.jl documentation.