Domain Decomposition Methods in Science and Engineering
Haynes, Ronald (EDT); Maclachlan, Scott (EDT); Cai, Xiao-Chuan (EDT); Halpern, Laurence (EDT); Kim, Hyea Hyun (EDT)
Language: English
Published by Springer, 2021
Series: Book 109 of 111 - Lecture Notes in Computational Science and Engineering
- Softcover
- Used

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- Title
- Domain Decomposition Methods in Science and Engineering
- Author
- Haynes, Ronald (EDT); Maclachlan, Scott (EDT); Cai, Xiao-Chuan (EDT); Halpern, Laurence (EDT); Kim, Hyea Hyun (EDT)
- Publisher
- Springer
- Publication year
- 2021
- Condition
- As New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3030567524
- ISBN 13
- 9783030567521
- Series
- Book 109 of 111: Lecture Notes in Computational Science and Engineering
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
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