Multilevel Block Factorization Preconditioners : Matrix-based Analysis and Algorithms for Solving Finite Element Equations /
By: Vassilevski, Panayot S [author.].
Contributor(s): SpringerLink (Online service).
Material type:
BookPublisher: New York, NY : Springer New York, 2008.Description: XIV, 530 p. 34 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9780387715643.Subject(s): Mathematics | Partial differential equations | Computer mathematics | Mathematics | Computational Mathematics and Numerical Analysis | Partial Differential EquationsDDC classification: 518 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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E books
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PK Kelkar Library, IIT Kanpur | Available | EBK10209 |
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.
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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