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cs.LG2024
Generative modeling of Sparse Approximate Inverse Preconditioners
Mou Li, He Wang, Peter K. Jimack
We present a new deep learning paradigm for the generation of sparse approximate inverse (SPAI) preconditioners for matrix systems arising from the mesh-based discretization of ell…
cs.LG2024★ 7 cited
Investigating Guiding Information for Adaptive Collocation Point Sampling in PINNs
Jose Florido, He Wang, Amirul Khan +1
Physics-informed neural networks (PINNs) provide a means of obtaining approximate solutions of partial differential equations and systems through the minimisation of an objective f…