Shypd.aiThe largest open index of AI toolsOrdinaryDiffEq.jl is a scientific computing tool that provides high-performance solvers for ordinary differential equations (ODE) and differential-algebraic equations (DAE). It includes support for neural ODEs and scientific machine learning (SciML).
Trending
About
OrdinaryDiffEq.jl is a high-performance component package within the DifferentialEquations ecosystem, specifically designed for solving ordinary differential equations (ODE) and differential-algebraic equations (DAE). While it can be used independently, it integrates seamlessly with DifferentialEquations.jl. The tool offers a wide range of solvers, including those for neural ordinary differential equations (neural ODEs) and is integral to scientific machine learning (SciML) applications. It supports both out-of-place and in-place syntax for defining differential equations, with optimized versions for static arrays. Additionally, it provides specialized methods for refined ODEs like dynamical equations and SecondOrderODEProblems, enabling the use of symplectic integrators for Hamiltonian dynamics. The package is written in Julia, offering a robust and efficient environment for complex numerical simulations.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
