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Discretization Methods and Iterative Solvers Based on Domain Decomposition / by Barbara I. Wohlmuth
(Lecture Notes in Computational Science and Engineering. ISSN:21977100 ; 17)

1st ed. 2001.
出版者 (Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年 2001
本文言語 英語
大きさ X, 199 p. 5 illus : online resource
著者標目 *Wohlmuth, Barbara I author
SpringerLink (Online service)
件 名 LCSH:Numerical analysis
LCSH:Mathematical analysis
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LCSH:Computer science -- Mathematics  全ての件名で検索
LCSH:Computational intelligence
FREE:Numerical Analysis
FREE:Analysis
FREE:Computational Science and Engineering
FREE:Mathematical Applications in Computer Science
FREE:Computational Intelligence
一般注記 Discretization Techniques Based on Domain Decomposition -- 1.1 Introduction to Mortar Finite Element Methods -- 1.2 Mortar Methods with Alternative Lagrange Multiplier Spaces -- 1.3 Discretization Techniques Based on the Product Space -- 1.4 Examples for Special Mortar Finite Element Discretizations -- 1.5 Numerical Results -- Iterative Solvers Based on Domain Decomposition -- 2.1 Abstract Schwarz Theory -- 2.2 Vector Field Discretizations -- 2.3 A Multigrid Method for the Mortar Product Space Formulation -- 2.4 A Dirichlet-Neumann Type Method -- 2.5 A Multigrid Method for the Mortar Saddle Point Formulation -- List of Figures -- List of Tables -- Notations
Domain decomposition methods provide powerful and flexible tools for the numerical approximation of partial differential equations arising in the modeling of many interesting applications in science and engineering. This book deals with discretization techniques on non-matching triangulations and iterative solvers with particular emphasis on mortar finite elements, Schwarz methods and multigrid techniques. New results on non-standard situations as mortar methods based on dual basis functions and vector field discretizations are analyzed and illustrated by numerical results. The role of trace theorems, harmonic extensions, dual norms and weak interface conditions is emphasized. Although the original idea was used successfully more than a hundred years ago, these methods are relatively new for the numerical approximation. The possibilites of high performance computations and the interest in large- scale problems have led to an increased research activity
HTTP:URL=https://doi.org/10.1007/978-3-642-56767-4
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書誌ID 4000109954
ISBN 9783642567674

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