Overview
- Written by internationally recognised experts in model order reduction and related areas
- Presents a fresh, very original and balanced selection of modern topics
- Features self-contained contributions, ideal for newcomers to the field
Part of the book series: Lecture Notes in Mathematics (LNM, volume 2328)
Part of the book sub series: C.I.M.E. Foundation Subseries (LNMCIME)
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Table of contents (4 chapters)
Keywords
About this book
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.Authors, Editors and Affiliations
Bibliographic Information
Book Title: Model Order Reduction and Applications
Book Subtitle: Cetraro, Italy 2021
Authors: Michael Hinze, J. Nathan Kutz, Olga Mula, Karsten Urban
Editors: Maurizio Falcone, Gianluigi Rozza
Series Title: Lecture Notes in Mathematics
DOI: https://doi.org/10.1007/978-3-031-29563-8
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Softcover ISBN: 978-3-031-29562-1Published: 21 June 2023
eBook ISBN: 978-3-031-29563-8Published: 20 June 2023
Series ISSN: 0075-8434
Series E-ISSN: 1617-9692
Edition Number: 1
Number of Pages: XIV, 230
Number of Illustrations: 10 b/w illustrations, 47 illustrations in colour
Topics: Numerical Analysis, Mathematical Modeling and Industrial Mathematics, Computational Mathematics and Numerical Analysis, Analysis