Editors:
Part of the book series: Lecture Notes in Computational Science and Engineering (LNCSE, volume 138)
Conference series link(s): DD: International Conference on Domain Decomposition Methods
Conference proceedings info: DD 2018.
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Table of contents (57 papers)
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Front Matter
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Plenary Talks (PT)
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Front Matter
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Talks in Minisymposia (MT)
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Front Matter
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About this book
These are the proceedings of the 25th International Conference on Domain Decomposition Methods in Science and Engineering, which was held in St. John's, Newfoundland, Canada in July 2018.
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 2018.
Editors and Affiliations
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Department of Mathematics and Statistics, Memorial University of Newfoundland, St. John's, Canada
Ronald Haynes, Scott MacLachlan
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Department of Computer Science, University of Colorado, Boulder, USA
Xiao-Chuan Cai
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Laboratoire Analyse, Geometrie, Université Paris XIII, Villetaneuse, France
Laurence Halpern
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Department of Applied Mathematics, Kyung Hee University, Yongin, Korea (Republic of)
Hyea Hyun Kim
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Mathematisches Institut, Universität zu Köln, Köln, Germany
Axel Klawonn
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New York University, New York, USA
Olof Widlund
Bibliographic Information
Book Title: Domain Decomposition Methods in Science and Engineering XXV
Editors: Ronald Haynes, Scott MacLachlan, Xiao-Chuan Cai, Laurence Halpern, Hyea Hyun Kim, Axel Klawonn, Olof Widlund
Series Title: Lecture Notes in Computational Science and Engineering
DOI: https://doi.org/10.1007/978-3-030-56750-7
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-56749-1Published: 25 October 2020
Softcover ISBN: 978-3-030-56752-1Published: 26 October 2021
eBook ISBN: 978-3-030-56750-7Published: 24 October 2020
Series ISSN: 1439-7358
Series E-ISSN: 2197-7100
Edition Number: 1
Number of Pages: XXVI, 508
Topics: Computational Mathematics and Numerical Analysis, Partial Differential Equations, Computer Engineering, Mathematics of Computing, Simulation and Modeling, Computer-Aided Engineering (CAD, CAE) and Design