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DiffEqJump

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)

Readme

DiffEqJump.jl

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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.

First Commit

02/04/2017

Last Touched

4 days ago

Commits

512 commits