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
- PDE and PDAE interface
- Error when mixing datatypes while differentiating using ForwardDiff and using FunctionWrapperSpecialize
- Compatibility with DynamicQuantities.jl – use `oneunit(::T)` instead of `oneunit(::Type{T})`
- matrix SDE problem with non-diagonal noise
- Separate all automatic algorithm selection functionalities from their packages
- Ensemble plot, single component
- Broken type stability when using auto-switching ode solvers
- Callbacks within CallbackSet interfering with each other
- Manual changes to precompile options in `LocalPreferences.jl` not recognized
- Solution handling for `ComponentArrays`: how to extract a variable by name?
- Docs
- Julia not yet supported