Cantitate/Preț
Produs

Iterative Methods for Sparse Linear Systems

De (autor)
Notă GoodReads:
en Limba Engleză Paperback – April 2003
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.
Citește tot Restrânge

Preț: 50900 lei

Preț vechi: 60596 lei
-16%

Puncte Express: 764

Preț estimativ în valută:
9803 11115$ 8192£

Carte disponibilă

Livrare economică 18 februarie-02 martie

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9780898715347
ISBN-10: 0898715342
Pagini: 184
Ilustrații: bibliography, index
Dimensiuni: 152 x 228 x 28 mm
Greutate: 0.93 kg
Ediția: 2nd Revised edition.
Editura: Society for Industrial and Applied Mathematics
Colecția Society for Industrial and Applied Mathematics
Locul publicării: Philadelphia, United States

Cuprins

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.