Hyper-reduction
Hyper-Reduction is a model reduction technique that belongs to the class of computational methods designed to accelerate reduced-order simulations by selectively sampling or approximating the nonlinear terms, distinguished by its explicit reduction of the computational cost associated with evaluating high-dimensional residual or force vectors through localized or sparse sampling strategies.
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4.5K
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163
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2017–2026
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A priori hyperreduction method: an adaptive approach
David Ryckelynck · Journal of Computational Physics · 2004 · 378 citations · Full text
Charbel Farhat, Philip Avery, Todd Chapman et al. · International Journal for Numerical Methods in Engineering · 2014 · 352 citations
Engineering, Computational Engineering, Mechanical Engineering +17
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Stanford University
Stanford, United States
10 h-index
30 publications
4.7K citations

Centre National de la Recherche Scientifique
Paris, France
10 h-index
20 publications
1.1K citations

Vaughn College of Aeronautics and Technology
New York, United States
8 h-index
18 publications
3.9K citations
Politecnico di Milano
Milan, Italy
7 h-index
15 publications
841 citations
Centre des Matériaux
Évry, France
5 h-index
9 publications
541 citations
American Institute of Aeronautics and Astronautics
Reston, United States
4 h-index
9 publications
2.1K citations
International Center for Numerical Methods in Engineering
Barcelona, Spain
4 h-index
10 publications
693 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
4 h-index
10 publications
693 citations
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11 publications · 437 citations
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9 publications · 1.5K citations
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4 publications · 455 citations
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3 publications · 137 citations
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3 publications · 115 citations
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