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

• Autore: Hinze Michael
• 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
• ISBN: 3-031-29563-3
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996538660903316
• Lo trovi qui: Univ. di Salerno
• Serie: C.I.M.E. Foundation Subseries ; ; 2328