Neural Control of Discrete Weak Formulations: Galerkin, Least-Squares and Minimal-Residual Methods with Quasi-Optimal Weights

DOI10.1016/j.cma.2022.115716zbMath1507.65233arXiv2206.07475MaRDI QIDQ6402170

Kristoffer G. Van Der Zee, Ignacio Brevis, Ignacio Muga

Publication date: 15 June 2022

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs (65N30)

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