Repository Issues
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)
Issues
Open
Avoid allocations for interpolator evaluation
help wantedperformance
6 comments0 reactions0 assignees
Open
DAE initialization default tolerances
DAEeasyhelp wanted
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Open
Add extrapolation methods to mass matrix tests
enhancementhelp wanted
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Open
More Runge-Kutta-Nyström Methods
easyhelp wantednew-algorithm
1 comment0 reactions0 assignees
Open
More Runge-Kutta Methods for (Hyperbolic) PDEs
Hacktoberfesteasyhelp wantednew-algorithm
29 comments0 reactions0 assignees
Open
Higher order derivatives for interpolations
Hacktoberfesteasyenhancementhelp wanted
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Open
Multistep Integrators for Second Order DiffEqs
Hacktoberfesteasyhelp wantednew-algorithm
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Open
Refactor some core functionality into smaller functions for more compilation cache reuse
Hacktoberfesteasyhelp wantedlow-priority
5 comments0 reactions0 assignees
Open
Use cache vectors in auto dt to get rid of allocations
Hacktoberfesteasyhelp wanted
0 comments0 reactions0 assignees
Open
SDIRK Dense Output
easyhelp wanted
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Open
Highly stable symplectic methods
easyhelp wantedlow-prioritynew-algorithm
2 comments0 reactions0 assignees