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Record Nr. |
UNISA996445849203316 |
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Titolo |
Model Order Reduction . Volume 1 System- and Data-Driven Methods and Algorithms / / ed. by Peter Benner |
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Pubbl/distr/stampa |
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Berlin ; ; Boston : , : De Gruyter, , [2021] |
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©2021 |
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ISBN |
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Descrizione fisica |
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1 online resource (X, 378 p.) |
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Collana |
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Model Order Reduction ; ; Volume 1 |
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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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Note generali |
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Description based upon print version of record. |
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Nota di contenuto |
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Frontmatter -- Preface to the first volume of Model Order Reduction -- Contents -- 1 Model order reduction: basic concepts and notation -- 2 Balancing-related model reduction methods -- 3 Model order reduction based on moment-matching -- 4 Modal methods for reduced order modeling -- 5 Post-processing methods for passivity enforcement -- 6 The Loewner framework for system identification and reduction -- 7 Manifold interpolation -- 8 Vector fitting -- 9 Kernel methods for surrogate modeling -- 10 Kriging: methods and applications -- 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 first volume focuses on real-time control theory, data assimilation, real-time visualization, high-dimensional state spaces and interaction of different reduction techniques. |
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