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Works by Kristian Meyer have shown speed improvements in the order of 10^2 using Discontinuous Galerkin method (standard nodal DG-method). This could be implemented for CADET.
The text was updated successfully, but these errors were encountered:
This would actually simplify a lot of the GRM, LRMP, and GRM2D code, because we can remove the domain decomposition inside the unit operation. We just dump the Jacobian into a large / big-ish sparse matrix and use a direct solver. We then revert to the adaptive Jacobian update strategy of IDAS.
Careful planning could also simplify implementation of the unit operations:
Each operator can be abstracted into a function or class
Models are simply composed by inserting the operators:
Works by Kristian Meyer have shown speed improvements in the order of 10^2 using Discontinuous Galerkin method (standard nodal DG-method). This could be implemented for CADET.
The text was updated successfully, but these errors were encountered: