Absorbing Boundaries And Layers Domain Decomposition Methods


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Absorbing Boundaries and Layers, Domain Decomposition Methods


Absorbing Boundaries and Layers, Domain Decomposition Methods

Author: L. Tourrette

language: en

Publisher: Nova Publishers

Release Date: 2001


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CD-ROM contains: Sections omitted from printing of text.

An Introduction to Domain Decomposition Methods


An Introduction to Domain Decomposition Methods

Author: Victorita Dolean

language: en

Publisher: SIAM

Release Date: 2015-12-08


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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, along with systematic scripts for sequential implementation in a free open-source finite element package as well as some parallel scripts. Also included is a new coarse space construction (two-level method) that adapts to highly heterogeneous problems.?

Domain Decomposition Methods in Science and Engineering XXIII


Domain Decomposition Methods in Science and Engineering XXIII

Author: Chang-Ock Lee

language: en

Publisher: Springer

Release Date: 2017-03-15


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This book is a collection of papers presented at the 23rd International Conference on Domain Decomposition Methods in Science and Engineering, held on Jeju Island, Korea on July 6-10, 2015. Domain decomposition methods solve boundary value problems by splitting them into smaller boundary value problems on subdomains and iterating to coordinate the solution between adjacent subdomains. Domain decomposition methods have considerable potential for a parallelization of the finite element methods, and serve a basis for distributed, parallel computations.