Model order reduction and applications : Cetraro, Italy 2021
Author(s)
Bibliographic Information
Model order reduction and applications : Cetraro, Italy 2021
（Lecture notes in mathematics, 2328 . CIME Foundation subseries）
Springer , Fondazione CIME Roberto Conti, c2023
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Library, Research Institute for Mathematical Sciences, Kyoto University数研
L/N||LNM||2328200045064842
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Note
Other authors: J.Nathan Kutz, Olga Mula, Karsten Urban
Includes bibliographical references
Description and Table of Contents
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.
Table of Contents
- 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.
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