SciML/OrdinaryDiffEq.jl

High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)

Juliahigh-performancejuliaodedifferential-equationsordinary-differential-equationsadaptivedifferentialequationsevent-handlinghacktoberfestscientific-machine-learningsciml
This is stars and forks stats for /SciML/OrdinaryDiffEq.jl repository. As of 26 Apr, 2024 this repository has 444 stars and 180 forks.

OrdinaryDiffEq.jl OrdinaryDiffEq.jl is a component package in the DifferentialEquations ecosystem. It holds the ordinary differential equation solvers and utilities. While completely independent and usable on its own, users interested in using this functionality should check out DifferentialEquations.jl. Installation Assuming that you already have Julia correctly installed, it suffices to import OrdinaryDiffEq.jl in the standard way: import Pkg; Pkg.add("OrdinaryDiffEq") API OrdinaryDiffEq.jl is...
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