A Multiresolution Strategy for Reduction of Elliptic PDEs and Eigenvalue Problems

By Gregory Beylkin, N. Coult. 1998

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Xuhui Meng
2. G. Em Karniadakis
3. Dongkun Zhang
4. Lu Lu
5. Zhen Li
6. Salvatore Cuomo
7. Han Gao
8. Shengze Cai

Citations in the corpus

• PPINN: Parareal Physics-Informed Neural Network for time-dependent PDEs (2019, methodology): “…extended to domain decomposition of physical problems with large spatial databases by drawing an analog of multigrid / multiresolution methods [24], where a cheap coarse-grained (CG) PINN should be constructed and be used to supervise and connect the PINN solutions of sub-domains iteratively.”