The Neural Network shifted-Proper Orthogonal Decomposition: a Machine Learning Approach for Non-linear Reduction of Hyperbolic Equations

DOI10.1016/J.CMA.2022.114687zbMath1507.65208arXiv2108.06558WikidataQ114952522 ScholiaQ114952522MaRDI QIDQ6375240

Giovanni Stabile, Davide Papapicco, Nicola Demo, Gianluigi Rozza, Michele Girfoglio

Publication date: 14 August 2021

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65M99) Finite volume methods for initial value and initial-boundary value problems involving PDEs (65M08)

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