Nonlinear compressive reduced basis approximation for PDE’s

Nonlinear compressive reduced basis approximation for PDE’s

Linear model reduction techniques design offline low-dimensional subspaces that are tailored to the approximation of solutions to a parameterized partial differential equation, for the purpose of fast online numerical simulations. These methods, such as the Proper Orthogonal Decomposition (POD) or R...

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Bibliographic Details
Main Authors: Cohen, Albert, Farhat, Charbel, Maday, Yvon, Somacal, Agustin
Format: Article
Language:English
Published: Académie des sciences 2023-09-01
Series:Comptes Rendus. Mécanique
Subjects:
non linear reduced basis
compressed sensing
solution manifold
machine learning
$m$-width
Online Access:https://comptes-rendus.academie-sciences.fr/mecanique/articles/10.5802/crmeca.191/
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