Model Order Reduction and Applications
Cetraro, Italy 2021
Published on 20. June 2023
XIV, 230 pages
978-3-031-29563-8 (ISBN)
Description
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.More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XIV, 230 p. 57 illus., 47 illus. in color.
File size
12,67 MB
ISBN-13
978-3-031-29563-8 (9783031295638)
DOI
10.1007/978-3-031-29563-8
Schweitzer Classification
Other editions
Additional editions
Michael Hinze | J. Nathan Kutz | Olga Mula
Model Order Reduction and Applications
Cetraro, Italy 2021
Book
06/2023
Springer
€64.19
Shipment within 15-20 days
Content
- 1. The Reduced Basis Method in Space and Time: Challenges, Limits and Perspectives. - 2. Inverse Problems: A Deterministic Approach Using Physics-Based Reduced Models. - 3. Model Order Reduction for Optimal Control Problems. - 4. Machine Learning Methods for Reduced Order Modeling.
