Stiff-ODEs with numerical Jacobian

SciML / DiffEqGPU.jl

GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem

https://docs.sciml.ai/DiffEqGPU/stable/

MIT License

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Stiff-ODEs with numerical Jacobian #188

Closed dimaZloy closed 1 year ago

dimaZloy commented 1 year ago

Hello,

Can you provide an example how to solve stiff-ode problems without providing an analytical Jacobian?

Thx, Dmitry

ChrisRackauckas commented 1 year ago

This repo currently requires an analytical Jacobian. However, given that it requires static behavior for compilation, you can just use modelingtoolkitize as shown in https://diffeq.sciml.ai/stable/tutorials/faster_ode_example/ to generate analytical Jacobians directly from the code.