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Domain Decomposition: Parallel Multilevel Methods for Elliptic Partial Differential Equations, by Barry Smith, Petter Bjorstad, William Gr
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This book presents an easy-to-read discussion of domain decomposition algorithms, their implementation and analysis. The relationship between domain decomposition and multigrid methods is carefully explained at an elementary level, and discussions of the implementation of domain decomposition methods on massively parallel super computers are also included. All algorithms are fully described and explained, and a mathematical framework for the analysis and complete understanding of the methods is also carefully developed. In addition, numerous numerical examples are included to demonstrate the behaviour of this important class of numerical methods. This book is ideal for graduate students about to embark on a career in computational science. It will also be a valuable resource for all those interested in parallel computing and numerical computational methods.
- Sales Rank: #2920095 in Books
- Brand: Brand: Cambridge University Press
- Published on: 2004-03-25
- Original language: English
- Number of items: 1
- Dimensions: 9.96" h x .51" w x 6.97" l, .96 pounds
- Binding: Paperback
- 240 pages
- Used Book in Good Condition
Review
'This book presents an easy-to-read discussion of domain decomposition algorithms, their implementation and analysis ... All algorithms are fully described and explained, and a mathematical framework for the analysis and complete understanding of the methods is also carefully developed.' L'Enseignement Math�matique
Most helpful customer reviews
4 of 5 people found the following review helpful.
Good book that introduces domain decomposition
By A Customer
A little something for everyone in this text. Discussion of computational issues, references, algorithms, and some convergence analysis. The authors do a good job of covering the subject at an understandable level. A small fault with the book is it leaves you wanting more! Excellent way to learn about these methods on your own.
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