Model Order Reduction . Volume 3 Applications / / Peter Benner, Wil Schilders, Stefano Grivet-Talocia, Alfio Quarteroni, Gianluigi Rozza, Luís Miguel Silveira

• Record Nr.: UNINA9910437642603321
• Autore: Benner Peter
• Pubbl/distr/stampa: Berlin/Boston, : De Gruyter, 2020; Berlin ; ; Boston : , : De Gruyter, , [2020]; ©2021
• ISBN: 3-11-049775-1; 3-11-049900-2
• Descrizione fisica: 1 online resource (VIII, 466 p.)
• Collana: Model Order Reduction ; ; Volume 3
• Classificazione: SK 955
• Disciplina: 515.353
• Soggetti: MATHEMATICS / Numerical Analysis
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Frontmatter -- Preface to the third volume of Model Order Reduction -- Contents -- 1 Model reduction in chemical process optimization -- 2 Model order reduction in mechanical engineering -- 3 Case studies of model order reduction for acoustics and vibrations -- 4 Model order reduction in microelectronics -- 5 Complexity reduction of electromagnetic systems -- 6 Model reduction in computational aerodynamics -- 7 Model order reduction in neuroscience -- 8 Reduced-order modeling for applications to the cardiovascular system -- 9 From the POD-Galerkin method to sparse manifold models -- 10 Model order reduction in uncertainty quantification -- 11 Reduced-order modeling of large-scale network systems -- 12 Model order reduction and digital twins -- 13 MOR software -- Index
• Sommario/riassunto: 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 three-volume handbook covers methods as well as applications. This third volume focuses on applications in engineering, biomedical engineering, computational physics and computer science.