finmod
finmod
I suggest to set the best current defaults in tutorials to reflect the findings of section 5 of the citation paper: QuasiRandomSampling and ADAM+BFGS.
@ChrisRackauckas Speaking of https://github.com/ChrisRackauckas/PINN_Quadrature, is it a case of "The check is in the post!"?
You indicate in the PINN for all problems paper that PINN_Quadrature tests are in your github repo but it is no yet uploaded.
@ChrisRackauckas The implementation of the Deep Galerkin Method algorithm and codes is here: https://github.com/alialaradi/DeepGalerkinMethod . Would be nice to compare DGM with PDEHan and PDENS
I suggest to ask @ChrisRackauckas. Two hints: https://si.sciml.ai/dev/tutorials/using_modeling_toolkit/ and the README example of https://github.com/SciML/ModelingToolkit.jl .
No worry. The sequencing of your workflow may benefit from this approach and steps classification: http://www.dam.brown.edu/people/mmcguirl/DEFD.pdf in developing DataDrivenDiffEq. The SINDy approach with 4 steps and PDE variant. The HAVOK...
@AlCap23 These SINDy and iSINDy are major milestones in learning nonlinear models from datasets. Just a gentle reminder for the extension of the examples to the Lorenz PDE. This would...
@ChrisRackauckas This belongs more in DataDrivenDiffEq than here.
There are quite a few problems here. First, there is an issue with `keen_simplified = structural_simplify(keen)` that fails. I will raise it in MTK and bypass it using `keen` instead....