Local Reduced-order Modeling
Local Reduced-Order Modeling is a reduced-order modeling approach that constructs localized surrogate models within partitioned regions of the parameter or state space, distinguished by its adaptation to local nonlinearities and solution features rather than relying on a single global low-dimensional basis.
60
Publications
3.3K
Citations
171
Authors
93
Institutions
Publications per year
2017–2026
29
Parents
60
Localized Discrete Empirical Interpolation Method
Benjamin Peherstorfer, Daniel Butnaru, Karen Willcox et al. · SIAM Journal on Scientific Computing · 2014 · 271 citations · Full text
1–5 of 60
171
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 171
93
Technical University of Munich
Munich, Germany
4 h-index
10 publications
1.5K citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
5 publications
322 citations
Stanford University
Stanford, United States
3 h-index
8 publications
406 citations
Texas A&M University
College Station, United States
3 h-index
7 publications
331 citations

Imperial College London
London, United Kingdom
2 h-index
5 publications
71 citations

Universidad Politécnica de Madrid
Madrid, Spain
2 h-index
3 publications
277 citations

Vaughn College of Aeronautics and Technology
New York, United States
2 h-index
4 publications
154 citations

Delft University of Technology
Delft, The Netherlands
2 h-index
7 publications
164 citations
1–8 of 93
8 publications · 287 citations
7
h-index
5 publications · 331 citations
5
h-index
3 publications · 317 citations
3
h-index
3 publications · 64 citations
3
h-index
2 publications · 39 citations
2
h-index
1–5