Domain Decomposition Methods In Science And Engineering


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Domain Decomposition Methods in Science and Engineering


Domain Decomposition Methods in Science and Engineering

Author:

language: en

Publisher:

Release Date: 2005


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Domain Decomposition Methods in Science and Engineering XXI


Domain Decomposition Methods in Science and Engineering XXI

Author: Jocelyne Erhel

language: en

Publisher: Springer

Release Date: 2014-10-10


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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.

Domain Decomposition Methods in Science and Engineering XXVI


Domain Decomposition Methods in Science and Engineering XXVI

Author: Susanne C. Brenner

language: en

Publisher: Springer Nature

Release Date: 2023-03-15


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These are the proceedings of the 26th International Conference on Domain Decomposition Methods in Science and Engineering, which was hosted by the Chinese University of Hong Kong and held online in December 2020. 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 2020.