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Domain Decomposition Methods - Algorithms and Theory

Domain Decomposition Methods - Algorithms and Theory
Author: Andrea Toselli
Publisher: Springer Science & Business Media
Total Pages: 454
Release: 2006-06-20
Genre: Mathematics
ISBN: 3540266623

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This book offers a comprehensive presentation of some of the most successful and popular domain decomposition preconditioners for finite and spectral element approximations of partial differential equations. It places strong emphasis on both algorithmic and mathematical aspects. It covers in detail important methods such as FETI and balancing Neumann-Neumann methods and algorithms for spectral element methods.


Domain Decomposition Methods for the Numerical Solution of Partial Differential Equations

Domain Decomposition Methods for the Numerical Solution of Partial Differential Equations
Author: Tarek Mathew
Publisher: Springer Science & Business Media
Total Pages: 775
Release: 2008-06-25
Genre: Mathematics
ISBN: 354077209X

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Domain decomposition methods are divide and conquer computational methods for the parallel solution of partial differential equations of elliptic or parabolic type. The methodology includes iterative algorithms, and techniques for non-matching grid discretizations and heterogeneous approximations. This book serves as a matrix oriented introduction to domain decomposition methodology. A wide range of topics are discussed include hybrid formulations, Schwarz, and many more.


Domain Decomposition

Domain Decomposition
Author: Barry Smith
Publisher: Cambridge University Press
Total Pages: 244
Release: 2004-03-25
Genre: Computers
ISBN: 9780521602860

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Presents an easy-to-read discussion of domain decomposition algorithms, their implementation and analysis. 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.


Stability Estimates for Hybrid Coupled Domain Decomposition Methods

Stability Estimates for Hybrid Coupled Domain Decomposition Methods
Author: Olaf Steinbach
Publisher: Springer Science & Business Media
Total Pages: 132
Release: 2003-03-10
Genre: Computers
ISBN: 9783540002772

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Domain decomposition methods are a well established tool for an efficient numerical solution of partial differential equations, in particular for the coupling of different model equations and of different discretization methods. Based on the approximate solution of local boundary value problems either by finite or boundary element methods, the global problem is reduced to an operator equation on the skeleton of the domain decomposition. Different variational formulations then lead to hybrid domain decomposition methods.


Domain Decomposition Methods 10

Domain Decomposition Methods 10
Author: Jan Mandel
Publisher: American Mathematical Soc.
Total Pages: 569
Release: 1998
Genre: Mathematics
ISBN: 0821809881

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This volume contains the proceedings of the Tenth International Conference on Domain Decomposition Methods, which focused on the latest developments in realistic applications in structural mechanics, structural dynamics, computational fluid dynamics, and heat transfer. The proceedings of these conferences have become standard references in the field and contain seminal papers as well as the latest theoretical results and reports on practical applications.


Recent Developments in Domain Decomposition Methods

Recent Developments in Domain Decomposition Methods
Author: Luca F. Pavarino
Publisher: Springer Science & Business Media
Total Pages: 255
Release: 2012-12-06
Genre: Computers
ISBN: 3642561187

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The main goal of this book is to provide an overview of some of the most recent developments in the field of Domain Decomposition Methods. Domain decomposition relates to the construction of preconditioners for the large algebraic systems of equations which often arise in applications, by solving smaller instances of the same problem. It also relates to the construction of approximation methods built from different discretizations in different subdomains. The resulting methods are among the most successful parallel solvers for many large scale problems in computational science and engineering. The papers in this collection reflect some of the most active research areas in domain decomposition such as novel FETI, Neumann-Neumann, overlapping Schwarz and Mortar methods.


Domain Decomposition Methods in Science and Engineering XVI

Domain Decomposition Methods in Science and Engineering XVI
Author: Olof B. Widlund
Publisher: Springer Science & Business Media
Total Pages: 783
Release: 2007-01-19
Genre: Computers
ISBN: 3540344683

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Domain decomposition is an active research area concerned with the development, analysis, and implementation of coupling and decoupling strategies in mathematical and computational models of natural and engineered systems. The present volume sets forth new contributions in areas of numerical analysis, computer science, scientific and industrial applications, and software development.


Domain Decomposition Methods in Science and Engineering XXV

Domain Decomposition Methods in Science and Engineering XXV
Author: Ronald Haynes
Publisher: Springer Nature
Total Pages: 508
Release: 2020-10-24
Genre: Mathematics
ISBN: 3030567508

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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.


Computational Partial Differential Equations

Computational Partial Differential Equations
Author: Hans Petter Langtangen
Publisher: Springer Science & Business Media
Total Pages: 704
Release: 2013-04-17
Genre: Mathematics
ISBN: 3662011700

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Targeted at students and researchers in computational sciences who need to develop computer codes for solving PDEs, the exposition here is focused on numerics and software related to mathematical models in solid and fluid mechanics. The book teaches finite element methods, and basic finite difference methods from a computational point of view, with the main emphasis on developing flexible computer programs, using the numerical library Diffpack. Diffpack is explained in detail for problems including model equations in applied mathematics, heat transfer, elasticity, and viscous fluid flow. All the program examples, as well as Diffpack for use with this book, are available on the Internet. XXXXXXX NEUER TEXT This book is for researchers who need to develop computer code for solving PDEs. Numerical methods and the application of Diffpack are explained in detail. Diffpack is a modern C++ development environment that is widely used by industrial scientists and engineers working in areas such as oil exploration, groundwater modeling, and materials testing. All the program examples, as well as a test version of Diffpack, are available for free over the Internet.


Domain Decomposition Methods in Science and Engineering XXIV

Domain Decomposition Methods in Science and Engineering XXIV
Author: Petter E. Bjørstad
Publisher: Springer
Total Pages: 570
Release: 2019-01-05
Genre: Mathematics
ISBN: 3319938738

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These are the proceedings of the 24th International Conference on Domain Decomposition Methods in Science and Engineering, which was held in Svalbard, Norway in February 2017. 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 2017.