Learning Robust Marking Policies for Adaptive Mesh Refinement
DOI10.1137/22m1510613arXiv2207.06339OpenAlexW4391170793WikidataQ129445669 ScholiaQ129445669MaRDI QIDQ6189171
Brendan Keith, Socratis Petrides, Andrew Gillette
Publication date: 8 February 2024
Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2207.06339
finite element methodadaptive mesh refinementreinforcement learningmachine learning\(hp\)-refinement
Computational learning theory (68Q32) Learning and adaptive systems in artificial intelligence (68T05) Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs (65N30) Laplace operator, Helmholtz equation (reduced wave equation), Poisson equation (35J05) Mesh generation, refinement, and adaptive methods for boundary value problems involving PDEs (65N50)
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