Overview
Part of the book series: Lecture Notes in Computational Science and Engineering (LNCSE, volume 149)
Included in the following conference series:
Conference proceedings info: DD 2022.
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Table of contents (62 papers)
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Plenary Talks (PT)
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Talks in Minisymposia
Other volumes
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Domain Decomposition Methods in Science and Engineering XXVII
Keywords
- iterative methods
- numerical methods for PDEs
- partial differential equations
- parallel computing
- large linear systems of equations
- finite element method
- boundary element method
- parallel Schwarz method
- irregular subdomain decompositions
- computational science
- numerical analysis
- mathematical modeling
- high-performance computing
About this book
These are the proceedings of the 27th International Conference on Domain Decomposition Methods in Science and Engineering, which was held in Prague, Czech Republic, in July 2022.
Domain decomposition methods are iterative methods for solving the often very large systems of equations that arise when engineering problems are discretized, frequently using finite elements or other modern techniques. These methods are specifically designed to make effective use of massively parallel, high-performance computing systems.
The book presents both theoretical and computational advances in this domain, reflecting the state of art in 2022.
Editors and Affiliations
Bibliographic Information
Book Title: Domain Decomposition Methods in Science and Engineering XXVII
Editors: Zdeněk Dostál, Tomáš Kozubek, Axel Klawonn, Ulrich Langer, Luca F. Pavarino, Jakub Šístek, Olof B. Widlund
Series Title: Lecture Notes in Computational Science and Engineering
DOI: https://doi.org/10.1007/978-3-031-50769-4
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 2024
Hardcover ISBN: 978-3-031-50768-7Published: 23 January 2024
Softcover ISBN: 978-3-031-50771-7Due: 23 February 2024
eBook ISBN: 978-3-031-50769-4Published: 22 January 2024
Series ISSN: 1439-7358
Series E-ISSN: 2197-7100
Edition Number: 1
Number of Pages: XXV, 528
Number of Illustrations: 32 b/w illustrations, 160 illustrations in colour
Topics: Computational Science and Engineering, Computational Mathematics and Numerical Analysis, Numerical Analysis, Mathematical Modeling and Industrial Mathematics