Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computational Science and Engineering (LNCSE, volume 45)
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About this book
In the past decades, model reduction has become an ubiquitous tool in analysis and simulation of dynamical systems, control design, circuit simulation, structural dynamics, CFD, and many other disciplines dealing with complex physical models. The aim of this book is to survey some of the most successful model reduction methods in tutorial style articles and to present benchmark problems from several application areas for testing and comparing existing and new algorithms. As the discussed methods have often been developed in parallel in disconnected application areas, the intention of the mini-workshop in Oberwolfach and its proceedings is to make these ideas available to researchers and practitioners from all these different disciplines.
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Keywords
Table of contents (24 papers)
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Front Matter
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Papers
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Benchmarks
Editors and Affiliations
Bibliographic Information
Book Title: Dimension Reduction of Large-Scale Systems
Book Subtitle: Proceedings of a Workshop held in Oberwolfach, Germany, October 19-25, 2003
Editors: Peter Benner, Danny C. Sorensen, Volker Mehrmann
Series Title: Lecture Notes in Computational Science and Engineering
DOI: https://doi.org/10.1007/3-540-27909-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2005
Softcover ISBN: 978-3-540-24545-2Published: 09 June 2005
eBook ISBN: 978-3-540-27909-9Published: 30 March 2006
Series ISSN: 1439-7358
Series E-ISSN: 2197-7100
Edition Number: 1
Number of Pages: XII, 404
Topics: Materials Science, general, Engineering, general, Computational Mathematics and Numerical Analysis, Numerical Analysis, Computational Science and Engineering