https://github.com/SciML/DiffEqBase.jl

The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
https://github.com/SciML/DiffEqBase.jl

dae dde delay-differential-equations differential-algebraic-equations differential-equations differentialequations hacktoberfest neural-differential-equations neural-ode ode ordinary-differential-equations partial-differential-equations pde scientific-machine-learning sciml sde stochastic-differential-equations

Last synced: 27 days ago
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The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

• Host: GitHub
• URL: https://github.com/SciML/DiffEqBase.jl
• Owner: SciML
• License: other
• Created: 2016-10-20T22:28:36.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2024-04-08T12:37:47.000Z (3 months ago)
• Last Synced: 2024-04-14T01:46:50.889Z (2 months ago)
• Topics: dae, dde, delay-differential-equations, differential-algebraic-equations, differential-equations, differentialequations, hacktoberfest, neural-differential-equations, neural-ode, ode, ordinary-differential-equations, partial-differential-equations, pde, scientific-machine-learning, sciml, sde, stochastic-differential-equations
• Language: Julia
• Homepage:
• Size: 2.84 MB
• Stars: 295
• Watchers: 20
• Forks: 102
• Open Issues: 66
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md
  • Citation: CITATION.bib

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• awesome-stars - SciML/DiffEqBase.jl - The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems (Julia)

README

        
# DiffEqBase.jl

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[![Build status](https://badge.buildkite.com/99cbd352c336779c3117e4da61255a1ed8e7e7c084c3c2516c.svg)](https://buildkite.com/julialang/diffeqbase-dot-jl)

DiffEqBase.jl is a component package in the DiffEq ecosystem. It holds the

common types and utility functions which are shared by other solver packages

to promote code reuse in the differential equation solver code.

Users interested in using this

functionality in full should check out [DifferentialEquations.jl](https://github.com/JuliaDiffEq/DifferentialEquations.jl)

The documentation for the interfaces here can be found in [DiffEqDocs.jl](https://diffeq.sciml.ai/dev/) and [DiffEqDevDocs.jl](https://devdocs.sciml.ai/dev).