Editors:
Addresses the advancement of efficient numerical procedures
Includes out-of-the-box algorithmic solutions, e.g. reduced basis methods for industrial problems
A special chapter on next generation Flash prepares readers for the future
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Table of contents (8 chapters)
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Front Matter
About this book
Keywords
- Model Reduction
- Algorithms for scientific computing
- Scientific Computing
- Applications in Industry
- Optimization and Control
- Model order reduction
- MOR for optimization
- Model order reduction for electrochemistry
Editors and Affiliations
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Department of Corporate Research, Robert Bosch GmbH, Renningen, Germany
Winfried Keiper
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Interdisciplinary Center for Scientific Computing, Heidelberg University, Heidelberg, Germany
Anja Milde
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Fachbereich Mathematik, Universität Konstanz, Konstanz, Germany
Stefan Volkwein
Bibliographic Information
Book Title: Reduced-Order Modeling (ROM) for Simulation and Optimization
Book Subtitle: Powerful Algorithms as Key Enablers for Scientific Computing
Editors: Winfried Keiper, Anja Milde, Stefan Volkwein
DOI: https://doi.org/10.1007/978-3-319-75319-5
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-75318-8Published: 20 April 2018
Softcover ISBN: 978-3-030-09199-6Published: 26 January 2019
eBook ISBN: 978-3-319-75319-5Published: 11 April 2018
Edition Number: 1
Number of Pages: IX, 179
Number of Illustrations: 13 b/w illustrations, 47 illustrations in colour
Topics: Mathematical Modeling and Industrial Mathematics, Computer-Aided Engineering (CAD, CAE) and Design, Control, Robotics, Mechatronics, Energy Systems, Applications of Mathematics, Numerical Analysis