Mesh sampling and weighting for the hyperreduction of nonlinear Petrov–Galerkin reduced‐order models with local reduced‐order bases

The energy‐conserving sampling and weighting (ECSW) method is a hyper‐reduction method originally developed for accelerating the performance of Galerkin projection‐based reduced‐order models (PROMs) associated with large‐scale finite element models, when the underlying projected operators need to be...

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Bibliographic Details
Published in:International journal for numerical methods in engineering 2021-04, Vol.122 (7), p.1846-1874
Main Authors: Grimberg, Sebastian, Farhat, Charbel, Tezaur, Radek, Bou‐Mosleh, Charbel
Format: Article
Language:English
Subjects:
Computational fluid dynamics
Finite difference method
Finite element method
Galerkin method
hyper‐reduction
local basis
machine learning
Mathematical models
nonlinear model reduction
Petrov–Galerkin
reduced mesh
Reduction
Sampling
Subspaces
Turbulent flow
Weighting
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