Iterative Methods for Sparse Linear Systems

Yousef Saad

ISBN 10: 0898715342 / ISBN 13: 9780898715347

Edité par Society for Industrial and Applied Mathematics, 2003

Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages. N° de réf. du vendeur M00898715342-V

Synopsis :

Tremendous progress has been made in the scientific and engineering disciplines regarding the use of iterative methods for linear systems. The size and complexity of linear and nonlinear systems arising in typical applications has grown, meaning that using direct solvers for the three-dimensional models of these problems is no longer effective. At the same time, parallel computing, becoming less expensive and standardized, has penetrated these application areas. Iterative methods are easier than direct solvers to implement on parallel computers but require approaches and solution algorithms that are different from classical methods. This second edition gives an in-depth, up-to-date view of practical algorithms for solving large-scale linear systems of equations, including a wide range of the best methods available today. A new chapter on multigrid techniques has been added, whilst material throughout has been updated, removed or shortened. Numerous exercises have been added, as well as an updated and expanded bibliography.

À propos de l?auteur: Yousef Saad joined the University of Minnesota in 1990 as a Professor of Computer Science and a Fellow of the Minnesota Supercomputer Institute. He was head of the Department of Computer Science and Engineering from 1997 to 2000. He received the Doctorat d'Etat from the University of Grenoble (France) in 1983. His current research interests include numerical linear algebra, sparse matrix computations, iterative methods, parallel computing, and numerical methods for eigenvalue problems.

Détails bibliographiques

Titre : Iterative Methods for Sparse Linear Systems
Éditeur : Society for Industrial and Applied Mathematics
Date d'édition : 2003
Reliure : Couverture souple
Etat : very good
Edition : 2ème Édition