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|a 9780387715643
|9 978-0-387-71564-3
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|a 10.1007/978-0-387-71564-3
|2 doi
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|a Vassilevski, Panayot S.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Multilevel Block Factorization Preconditioners
|h [electronic resource] :
|b Matrix-based Analysis and Algorithms for Solving Finite Element Equations /
|c by Panayot S. Vassilevski.
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|a 1st ed. 2008.
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|a New York, NY :
|b Springer New York :
|b Imprint: Springer,
|c 2008.
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|a XIV, 530 p. 34 illus.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
|b PDF
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|a Motivation for Preconditioning -- A Finite Element Tutorial -- A Main Goal -- Block Factorization Preconditioners -- Two-by-Two Block Matrices and Their Factorization -- Classical Examples of Block-Factorizations -- Multigrid (MG) -- Topics on Algebraic Multigrid (AMG) -- Domain Decomposition (DD) Methods -- Preconditioning Nonsymmetric and Indefinite Matrices -- Preconditioning Saddle-Point Matrices -- Variable-Step Iterative Methods -- Preconditioning Nonlinear Problems -- Quadratic Constrained Minimization Problems.
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|a This monograph is the first to provide a comprehensive, self-contained and rigorous presentation of some of the most powerful preconditioning methods for solving finite element equations in a common block-matrix factorization framework. Topics covered include the classical incomplete block-factorization preconditioners and the most efficient methods such as the multigrid, algebraic multigrid, and domain decomposition. Additionally, the author discusses preconditioning of saddle-point, nonsymmetric and indefinite problems, as well as preconditioning of certain nonlinear and quadratic constrained minimization problems that typically arise in contact mechanics. The book presents analytical as well as algorithmic aspects. This text can serve as an indispensable reference for researchers, graduate students, and practitioners. It can also be used as a supplementary text for a topics course in preconditioning and/or multigrid methods at the graduate level.
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|a Mathematics-Data processing.
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|a Differential equations.
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|a Computational Mathematics and Numerical Analysis.
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|a Differential Equations.
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9780387565613
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|i Printed edition:
|z 9781441924483
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|i Printed edition:
|z 9780387715636
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|u https://doi.uam.elogim.com/10.1007/978-0-387-71564-3
|z Texto Completo
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|a ZDB-2-SMA
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|a ZDB-2-SXMS
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|a Mathematics and Statistics (SpringerNature-11649)
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|a Mathematics and Statistics (R0) (SpringerNature-43713)
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