The problem of solving large, sparse, linear systems of algebraic equations is vital in scientific computing, even for applications originating from quite different fields. A Survey of Preconditioned Iterative Methods presents an up to date overview of iterative methods for numerical solution of such systems. Typically, the methods considered are well suited for the kind of systems arising from the discretization of partial differential equations. The focus of this presentation is on the family of Krylov subspace solvers, of which the Conjugate Gradient algorithm is a typical example. In addition to an introduction to the basic principles of such methods, a large number of specific algorithms for symmetric and nonsymmetric problems are discussed. When solving linear systems by iteration, a preconditioner is usually introduced in order to speed up convergence. In many cases, the selection of a proper preconditioner is crucial to the resulting computational performance. For this reason, this book pays special attention to different preconditioning strategies. Although aimed at a wide audience, the presentation assumes that the reader has basic knowledge of linear algebra, and to some extent, of partial differential equations. The comprehensive bibliography in this survey is provides an entry point to the enormous amount of published research in the field of iterative methods.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Are Magnus Bruaset
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Da: Anybook.com, Lincoln, Regno Unito
Condizione: Fair. Volume 328. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,400grams, ISBN:9780582276543. Codice articolo 9789794
Quantità: 1 disponibili
Da: killarneybooks, Inagh, CLARE, Irlanda
Soft cover. Condizione: Good. 1st Edition. Paperback, xii + 162 pages. Limited gentle wear, a faint number on the upper outer page edges. Interior is clean and bright with unmarked text, free of inscriptions and stamps, firmly bound. Straight spine. -- Solving large sparse linear systems from discretized partial differential equations requires efficient iterative methods; this book delivers a unified survey of preconditioned Krylov subspace techniques essential for researchers and practitioners in scientific computing. -- The text introduces iterative methods based on matrix splittings, covering classical techniques like Jacobi, Gauss-Seidel, and successive overrelaxation (SOR), as well as polynomial acceleration. It then develops the framework of Krylov subspace methods, deriving a generic algorithm that encompasses popular iterations such as the conjugate gradient (CG), GMRES, BICGSTAB, and QMR. Symmetric and nonsymmetric problems are addressed separately, with discussions on termination procedures and implementation efficiency. Preconditioning strategies form a central theme, including incomplete factorizations, approximate inverses, and polynomial preconditioners. The book also bridges algebraic tools with problem-oriented approaches like multigrid and domain decomposition, crucial for elliptic boundary value problems. -- This work offers a balanced blend of theoretical foundations, algorithmic details, and practical considerations, providing a durable framework for understanding solver performance. Its systematic treatment of preconditioning makes it an ideal resource for building robust simulation codes, calibrating models, and selecting optimal solution strategies for large-scale computations. It serves as both a concise learning guide and a conceptual reference for the mathematical underpinnings of modern iterative solvers. Codice articolo 012069
Quantità: 1 disponibili
Da: Chiron Media, Wallingford, Regno Unito
Paperback. Condizione: New. Codice articolo 6666-TNFPD-9780582276543
Quantità: 5 disponibili
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Condizione: As New. Unread book in perfect condition. Codice articolo 609298
Quantità: 10 disponibili
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 176 1st Edition. Codice articolo 26519004
Quantità: 3 disponibili
Da: Majestic Books, Hounslow, Regno Unito
Condizione: New. pp. 176 This item is printed on demand. Codice articolo 7361667
Quantità: 3 disponibili
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Condizione: New. Codice articolo 609298-n
Quantità: 10 disponibili
Da: Biblios, Frankfurt am main, HESSE, Germania
Condizione: New. pp. 176. Codice articolo 18518998
Quantità: 3 disponibili
Da: moluna, Greven, Germania
Condizione: New. Are Magnus BruasetThe problem of solving large, sparse, linear systems of algebraic equations is vital in scientific computing, even for applications originating from quite different fields. A Survey of Preconditioned Iterative Methods presents an up. Codice articolo 594808129
Quantità: Più di 20 disponibili
Da: Buchpark, Trebbin, Germania
Condizione: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher. Codice articolo 2953546/203
Quantità: 1 disponibili