Format:
1 Online-Ressource (VIII, 348 Seiten)
ISBN:
9783110671490
,
9783110671506
Series Statement:
Model Order Reduction Volume 2
Content:
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
Content:
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
Note:
Mode of access: Internet via World Wide Web.
,
In English
Additional Edition:
ISBN 9783110671407
Additional Edition:
Erscheint auch als EPUB ISBN 9783110671506
Additional Edition:
Erscheint auch als print ISBN 9783110671407
Additional Edition:
Erscheint auch als Druck-Ausgabe Model order reduction ; volume 2: Snapshot-based methods and algorithms Berlin : De Gruyter, 2021 ISBN 9783110671407
Additional Edition:
ISBN 3110671409
Language:
English
Subjects:
Mathematics
Keywords:
Modellordnungsreduktion
;
Dynamisches System
;
Mathematisches Modell
DOI:
10.1515/9783110671490
Author information:
Benner, Peter 1967-
Author information:
Quarteroni, Alfio 1952-
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