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SciML / ModelingToolkit.jl

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
https://mtk.sciml.ai/dev/
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sparse jac benchmarks #2546

Open ArnoStrouwen opened 4 months ago

ArnoStrouwen commented 4 months ago

The symbolic sparse jacs are not performing well: https://docs.sciml.ai/ModelingToolkit/dev/examples/sparse_jacobians/.

Why does this not come close to: https://docs.sciml.ai/DiffEqDocs/stable/tutorials/advanced_ode_example/?

ChrisRackauckas commented 2 weeks ago

It's a size thing. If you increase N it works out well.