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
Github
Popularity
36 Stars
Updated Last
2 Years 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.

Required Packages

View all packages

Used By Packages

View all packages