Model Order Reduction and Applications / Lecture Notes in Mathematics Bd.2328 (PDF)
Cetraro, Italy 2021
(Sprache: Englisch)
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...
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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.Bibliographische Angaben
- Autoren: Michael Hinze , J. Nathan Kutz , Olga Mula , Karsten Urban
- 2023, 1st ed. 2023, 230 Seiten, Englisch
- Herausgegeben: Maurizio Falcone, Gianluigi Rozza
- Verlag: Springer International Publishing
- ISBN-10: 3031295633
- ISBN-13: 9783031295638
- Erscheinungsdatum: 20.06.2023
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Größe: 12 MB
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Englisch
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