Iterative Methods for Sparse Linear Systems - Yousef Saad

Iterative Methods for Sparse Linear Systems

(Autor)

Buch | Softcover
184 Seiten
2003 | 2nd Revised edition
Society for Industrial & Applied Mathematics,U.S. (Verlag)
978-0-89871-534-7 (ISBN)
159,60 inkl. MwSt
Tremendous progress has been made in the scientific and engineering disciplines regarding the use of iterative methods for linear systems. 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.
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.

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.

Preface; 1. Background in linear algebra; 2. Discretization of partial differential equations; 3. Sparse matrices; 4. Basic iterative methods; 5. Projection methods; 6. Krylov subspace methods Part I; 7. Krylov subspace methods Part II; 8. Methods related to the normal equations; 9. Preconditioned iterations; 10. Preconditioning techniques; 11. Parallel implementations; 12. Parallel preconditioners; 13. Multigrid methods; 14. Domain decomposition methods; Bibliography; Index.

Verlagsort New York
Sprache englisch
Maße 178 x 247 mm
Gewicht 929 g
Themenwelt Mathematik / Informatik Mathematik Algebra
Mathematik / Informatik Mathematik Angewandte Mathematik
ISBN-10 0-89871-534-2 / 0898715342
ISBN-13 978-0-89871-534-7 / 9780898715347
Zustand Neuware
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