A Deep Double Ritz Method (D$^2$RM) for solving Partial Differential Equations using Neural Networks
From MaRDI portal
Publication:6416399
DOI10.1016/J.CMA.2023.115892arXiv2211.03627MaRDI QIDQ6416399
Ignacio Muga, Carlos Uriarte, David Pardo, Judit Muñoz-Matute
Publication date: 7 November 2022
Artificial neural networks and deep learning (68T07) Finite element, Rayleigh-Ritz and Galerkin methods for initial value and initial-boundary value problems involving PDEs (65M60) Multigrid methods; domain decomposition for initial value and initial-boundary value problems involving PDEs (65M55)
This page was built for publication: A Deep Double Ritz Method (D$^2$RM) for solving Partial Differential Equations using Neural Networks