differentialequations.jl
https://github.com/sciml/differentialequations.jl
Julia
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), differen
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- Issues
- Setup solutions with Tables.jl
- Extend RegularJump interface to allow flexible matrix-free jump sizes
- Remove final binaries
- FunctionMap performance with pass-through f in DiscreteFunctions
- Advanced Timestepping Control Optimization
- Merging solutions over different time intervals
- Default algorithms for jump problems
- plotting with vars = [a, (f, a, b)] produces error.
- plotting with "vars = [(f, a, b, c)]" produces strange results depending on input order.
- Plotting feature request: (f, a, b) default behavior on f returning single val
- Docs
- Julia not yet supported