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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)
https://diffeq.sciml.ai/latest/
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General linear methods #887

Open ChrisRackauckas opened 5 years ago

ChrisRackauckas commented 5 years ago

https://www.mcs.anl.gov/~emconsta/Repository/Papers/Constantinescu_A2010b.pdf https://www.mcs.anl.gov/~emconsta/Repository/Papers/GLMOrder.pdf

GodotMisogi commented 1 year ago

Bump: Any plans to implement this? It unifies linear multistep methods, so I think most of the tableau specifications can be generated readily by implementing this framework.

ChrisRackauckas commented 1 year ago

We do want to implement it. It's probably dependent on a student or GSoCer getting interested in the topic though: I probably won't be doing it myself.