V2: Add sparse matrix format / factorization capabilities

SLACKHA / pyJac

Creates C and CUDA analytical Jacobians for chemical kinetics ODE systems

http://slackha.github.io/pyJac/

MIT License

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V2: Add sparse matrix format / factorization capabilities #5

Closed skyreflectedinmirrors closed 5 years ago

skyreflectedinmirrors commented 8 years ago

Ideally pyJac should support the ability to generate Jacobians evaluation / factorization / multiplication in a sparse representation to further accelerate ODE integration.

As (currently) the only solvers we're planning to work with that aren't ours are CVODEs, we should probably conform to their format. As a side note, it's worth considering adding support for the ARKode solver in the sundials package, as it seems to be an implementation of the HMTS solvers proposed a few years back

kyleniemeyer commented 8 years ago

Yes, agreed on this as an important improvement. In general, it would be nice to add options to support major formats.