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Model Order Reduction and Applications : Cetraro, Italy 2021 / / by Michael Hinze, J. Nathan Kutz, Olga Mula, Karsten Urban ; edited by Maurizio Falcone, Gianluigi Rozza



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Autore: Hinze Michael Visualizza persona
Titolo: Model Order Reduction and Applications : Cetraro, Italy 2021 / / by Michael Hinze, J. Nathan Kutz, Olga Mula, Karsten Urban ; edited by Maurizio Falcone, Gianluigi Rozza Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Edizione: 1st ed. 2023.
Descrizione fisica: 1 online resource (241 pages)
Disciplina: 518
Soggetto topico: Numerical analysis
Mathematical models
Mathematics—Data processing
Differential equations
Numerical Analysis
Mathematical Modeling and Industrial Mathematics
Computational Mathematics and Numerical Analysis
Differential Equations
Equacions diferencials
Models matemàtics
Soggetto genere / forma: Llibres electrònics
Altri autori: KutzJ. Nathan  
MulaOlga  
UrbanKarsten  
FalconeMaurizio  
RozzaGianluigi  
Sommario/riassunto: This book addresses the state of the art of reduced order methods for modelling and computational reduction of complex parametrised systems, governed by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques and applications in various fields. Consisting of four contributions presented at the CIME summer school, the book presents several points of view and techniques to solve demanding problems of increasing complexity. The focus is on theoretical investigation and applicative algorithm development for reduction in the complexity – the dimension, the degrees of freedom, the data – arising in these models. The book is addressed to graduate students, young researchers and people interested in the field. It is a good companion for graduate/doctoral classes.
Titolo autorizzato: Model Order Reduction and Applications  Visualizza cluster
ISBN: 3-031-29563-3
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910731466603321
Lo trovi qui: Univ. Federico II
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Serie: C.I.M.E. Foundation Subseries ; ; 2328