4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2024
A reinforcement learning strategy to automate and accelerate h/p-multigrid solvers
David Huergo, Laura Alonso, Saumitra Joshi +3
We explore a reinforcement learning strategy to automate and accelerate h/p-multigrid methods in high-order solvers. Multigrid methods are very efficient but require fine-tuning of…
math.NA2021★ 4 cited
Eigensolution analysis of immersed boundary method based on volume penalization: applications to high-order schemes
Jiaqing Kou, Aurelio Hurtado-de-Mendoza, Saumitra Joshi +2
This paper presents eigensolution and non-modal analyses for immersed boundary methods (IBMs) based on volume penalization for the linear advection equation. This approach is used…