Model Order Reduction and Applications by Michael Hinze

Model Order Reduction and Applications 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.

Kutz, J. Nathan: - J. Nathan Kutz is the Robert Bolles and Yasuko Endo Professor of Applied Mathematics at the University of Washington, and served as department chair until 2015. He is also Adjunct Professor of Electrical Engineering and Physics and a Senior Data-Science Fellow at the eScience Institute. His research interests are in complex systems and data analysis where machine learning can be integrated with dynamical systems and control for a diverse set of applications. He is an author of two textbooks and has received the Applied Mathematics Boeing Award of Excellence in Teaching and an NSF CAREER award.

SKU	Unavailable
ISBN 13	9783031295621
ISBN 10	3031295625
Title	Model Order Reduction and Applications
Author	Michael Hinze
Series	Lecture Notes In Mathematics
Condition	Unavailable
Binding Type	Paperback
Publisher	Springer International Publishing AG
Year published	2023-06-21
Number of pages	230
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
Note	Unavailable