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Record Nr. |
UNISA996398645003316 |
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Autore |
Benner Peter |
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Titolo |
Model Order Reduction . Volume 2 Snapshot-Based Methods and Algorithms / / Peter Benner, Wil Schilders, Stefano Grivet-Talocia, Alfio Quarteroni, Gianluigi Rozza, Luís Miguel Silveira |
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Pubbl/distr/stampa |
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Berlin/Boston, : De Gruyter, 2020 |
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Berlin ; ; Boston : , : De Gruyter, , [2020] |
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©2021 |
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ISBN |
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Descrizione fisica |
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1 online resource (VIII, 348 p.) |
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Collana |
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Model Order Reduction ; ; Volume 2 |
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Disciplina |
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Soggetti |
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MATHEMATICS / Numerical Analysis |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Frontmatter -- Preface to the second volume of Model Order Reduction -- Contents -- 1 Basic ideas and tools for projection-based model reduction of parametric partial differential equations -- 2 Model order reduction by proper orthogonal decomposition -- 3 Proper generalized decomposition -- 4 Reduced basis methods -- 5 Computational bottlenecks for PROMs: precomputation and hyperreduction -- 6 Localized model reduction for parameterized problems -- 7 Data-driven methods for reduced-order modeling -- Index |
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Sommario/riassunto |
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An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This two-volume handbook covers methods as well as applications. This second volume focuses on applications in engineering, biomedical engineering, computational physics and computer science. |
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