Model Order Reduction and Applications: Cetraro, Italy 2021 (Lecture Notes in Mathematics, 2328) - Softcover

Hinze, Michael; Kutz, J. Nathan; Mula, Olga; Urban, Karsten

Softcover

ISBN 10: 3031295625 ISBN 13: 9783031295621

Publisher: Springer, 2023

Synopsis

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.

About this title

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.

Edition details

• Publisher: Springer
• Publication date: 2023
• Language: English
• ISBN 10: 3031295625
• ISBN 13: 9783031295621
• Binding: Paperback
• Edition number: 1
• Number of pages: 244
• Editor: Falcone Maurizio, Rozza Gianluigi