Interpolation-based Model Reduction
Interpolation-Based Model Reduction is a model reduction method that constructs reduced-order models by enforcing interpolation conditions on the transfer function or system response of the original high-dimensional system at selected sample points in the parameter or frequency domain.
127
Publications
6.9K
Citations
217
Authors
119
Institutions
Publications per year
2017–2026
35
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Max Planck Institute for Dynamics of Complex Technical Systems, Germany
15 publications · 614 citations
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Max Planck Institute for Dynamics of Complex Technical Systems
Magdeburg, Germany
12 h-index
35 publications
1K citations
Virginia Tech
Blacksburg, United States
12 h-index
23 publications
1.4K citations

Rice University
Houston, United States
11 h-index
18 publications
741 citations
Massachusetts Institute of Technology
Cambridge, United States
6 h-index
10 publications
226 citations

Imperial College London
London, United Kingdom
6 h-index
10 publications
1.1K citations
Technical University of Munich
Munich, Germany
5 h-index
12 publications
651 citations
Max Planck Society
Munich, Germany
5 h-index
8 publications
438 citations
Stanford University
Stanford, United States
5 h-index
9 publications
1.7K citations
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7 publications · 531 citations
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7 publications · 906 citations
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6 publications · 202 citations
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Repository · 5 publications · 88 citations
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MCMDS · 4 publications · 125 citations
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