Overview
Part of the book series: Lecture Notes in Computational Science and Engineering (LNCSE, volume 98)
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Table of contents (94 papers)
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Plenary Presentations
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Minisymposia
Keywords
About this book
This volume contains a selection of papers presented at the 21st international conference on domain decomposition methods in science and engineering held in Rennes, France, June 25-29, 2012. Domain decomposition is an active and interdisciplinary research discipline, focusing on the development, analysis and implementation of numerical methods for massively parallel computers. Domain decomposition methods are among the most efficient solvers for large scale applications in science and engineering. They are based on a solid theoretical foundation and shown to be scalable for many important applications. Domain decomposition techniques can also naturally take into account multiscale phenomena. This book contains the most recent results in this important field of research, both mathematically and algorithmically and allows the reader to get an overview of this exciting branch of numerical analysis and scientific computing.
Editors and Affiliations
Bibliographic Information
Book Title: Domain Decomposition Methods in Science and Engineering XXI
Editors: Jocelyne Erhel, Martin J. Gander, Laurence Halpern, Géraldine Pichot, Taoufik Sassi, Olof Widlund
Series Title: Lecture Notes in Computational Science and Engineering
DOI: https://doi.org/10.1007/978-3-319-05789-7
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-05788-0Published: 28 October 2014
Softcover ISBN: 978-3-319-35548-1Published: 23 August 2016
eBook ISBN: 978-3-319-05789-7Published: 10 October 2014
Series ISSN: 1439-7358
Series E-ISSN: 2197-7100
Edition Number: 1
Number of Pages: XX, 973
Number of Illustrations: 87 b/w illustrations, 133 illustrations in colour
Topics: Computational Mathematics and Numerical Analysis, Applications of Mathematics, Computational Science and Engineering, Algorithms
Industry Sectors: Aerospace, Energy, Utilities & Environment, IT & Software