An Introduction to Domain Decomposition Methods
Language: English
Published by Society for Industrial and Applied Mathematics,U.S., US, 2015
- Softcover
- New
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
AbeBooks seller since June 11, 2025
Condition: New
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Add to basketItem description from seller
The purpose of this book is to offer an overview of the most popular domain decomposition methods for partial differential equations (PDEs). These methods are widely used for numerical simulations in solid mechanics, electromagnetism, flow in porous media, etc., on parallel machines from tens to hundreds of thousands of cores. The appealing feature of domain decomposition methods is that, contrary to direct methods, they are naturally parallel. The authors focus on parallel linear solvers.The authors present:All popular algorithms both at the PDE level and at the discrete level in terms of matrices.Systematic scripts for sequential implementation in a free open-source finite element package as well as some parallel scripts. A new coarse space construction (two-level method) that adapts to highly heterogeneous problems.
Seller Inventory # LU-9781611974058
- Title
- An Introduction to Domain Decomposition Methods
- Author
- Pierre Jolivet, Frédéric Nataf, Victorita Dolean
- Publisher
- Society for Industrial and Applied Mathematics,U.S., US
- Publication year
- 2015
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1611974054
- ISBN 13
- 9781611974058
- Item weight
- 460 grams
"Synopsis" may belong to another edition of this title.
About the Author
Pierre Jolivet is a scientist at CNRS in the Toulouse Institute of Computer Science Research, France, working mainly in the field of parallel computing. Before that, he was an ETH Zürich Postdoctoral Fellow of the Scalable Parallel Computing Lab, Zürich, Switzerland. He received his PhD from the University of Grenoble, France, in 2014 for his work on domain decomposition methods and their applications on massively parallel architectures.
Frédéric Nataf is a senior scientist at CNRS in Laboratory J. L. Lions at Université de Paris VI (Pierre et Marie Curie), France. He is also part of an INRIA team. His field of expertise is in high performance scientific computing (domain decomposition methods/approximate factorizations), absorbing/PML boundary conditions, and inverse problems. He has coauthored nearly 100 papers and given several invited plenary talks on these subjects. He developed the theory of optimized Schwarz methods and, very recently, the GENEO coarse space. This last method enables the solving of very large highly heterogeneous problems on large scale computers.
"About the title" may belong to another edition of this title.
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