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Model Order Reduction . Volume 1 System- and Data-Driven Methods and Algorithms / / ed. by Peter Benner



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Titolo: Model Order Reduction . Volume 1 System- and Data-Driven Methods and Algorithms / / ed. by Peter Benner Visualizza cluster
Pubblicazione: Berlin ; ; Boston : , : De Gruyter, , [2021]
©2021
Descrizione fisica: 1 online resource (X, 378 p.)
Disciplina: 515.353
Soggetto topico: MATHEMATICS / Numerical Analysis
Persona (resp. second.): BennerPeter
FengLihong
GoseaIon Victor
Grivet-TalociaStefano
HaasdonkBernard
KarachaliosDimitrios S.
KleijnenJack P. C.
MagdeburgLuìs Miguel Silveira
MahdiabadiMorteza Karamooz
QuarteroniAlfio
RozzaGianluigi
SantinGabriele
SchildersW. H. A (Wil)
SilveiraLuis Miguel
SilveiraLuís Miguel
TisoPaolo
TriverioPiero
ZimmermannRalf
Note generali: Description based upon print version of record.
Nota di contenuto: 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
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 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.
Titolo autorizzato: Model order reduction  Visualizza cluster
ISBN: 3-11-049896-0
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996445849203316
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