Published by Longman Scientific and Technical, 1995
ISBN 10: 0582276543 ISBN 13: 9780582276543
Language: English
Seller: Anybook.com, Lincoln, United Kingdom
Condition: 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.
Published by Longman Scientific & Technical, 1995
ISBN 10: 0582276543 ISBN 13: 9780582276543
Language: English
Seller: killarneybooks, Inagh, CLARE, Ireland
First Edition
Soft cover. Condition: 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.
Published by Chapman and Hall/CRC 1995-05-05, 1995
ISBN 10: 0582276543 ISBN 13: 9780582276543
Language: English
Seller: Chiron Media, Wallingford, United Kingdom
Paperback. Condition: New.
Published by Chapman and Hall/CRC, 1995
ISBN 10: 0582276543 ISBN 13: 9780582276543
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Condition: New. pp. 176 1st Edition.
Published by Chapman and Hall/CRC, 1995
ISBN 10: 0582276543 ISBN 13: 9780582276543
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Condition: New. pp. 176.
Condition: 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.
Published by Taylor & Francis Ltd, 1995
ISBN 10: 0582276543 ISBN 13: 9780582276543
Language: English
Seller: Buchpark, Trebbin, Germany
Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
Published by Taylor & Francis Ltd, 1995
ISBN 10: 0582276543 ISBN 13: 9780582276543
Language: English
Seller: Buchpark, Trebbin, Germany
Condition: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher.
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. pp. 176 This item is printed on demand.