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Model Order Reduction and Applications Michael Hinze

Model Order Reduction and Applications By Michael Hinze

Model Order Reduction and Applications by Michael Hinze


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Model Order Reduction and Applications Summary

Model Order Reduction and Applications: Cetraro, Italy 2021 by Michael Hinze

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.

Additional information

NGR9783031295621
9783031295621
3031295625
Model Order Reduction and Applications: Cetraro, Italy 2021 by Michael Hinze
New
Paperback
Springer International Publishing AG
2023-06-21
230
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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