SciML/DifferentialEquations.jl

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

Juliapythonrjuliaodeddepartial-differential-equationsdynamical-systemsdifferential-equationsdifferentialequationssdepdedaespdestochastic-differential-equationsdelay-differential-equationsstochastic-processesdifferential-algebraic-equationsscientific-machine-learningneural-differential-equationssciml
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DifferentialEquations.jl This is a suite for numerically solving differential equations written in Julia and available for use in Julia, Python, and R. The purpose of this package is to supply efficient Julia implementations of solvers for various differential equations. Equations within the realm of this package include: Discrete equations (function maps, discrete stochastic (Gillespie/Markov) simulations) Ordinary differential equations (ODEs) Split and Partitioned ODEs (Symplectic integrators,...
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