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Zustand: Fine. *Price HAS BEEN REDUCED by 10% until Monday, Nov. 10 (weekend sale item)* 263 pp., paperback, previous owner's name to inside front cover, else fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

Soft cover. Zustand: New. 1st Edition. Contents: Preface. 1. Krylov Subspace Methods. 2. Toeplitz Matrices and Preconditioners. 3. Multigrid Preconditioners. 4. Preconditioners by Space Decomposition. 5. Some Applications. Bibliography. Index. The book offers a mathematically rigorous introduction to fundamental iterative methods for systems of linear algebraic equations. The book distinguishes itself from other texts on the topic by Providing a straightforward yet comprehensive analysis of the Krylov subspace methods, Approaching the development and analysis of algorithms from various algorithmic and mathematical perspectives, and Going beyond the standard description of iterative methods by connecting them in a natural way to the idea of preconditioning. The book supplements standard texts on numerical mathematics for first-year graduate and advanced undergraduate courses and is suitable for advanced graduate classes covering numerical linear algebra and Krylov subspace and multigrid iterative methods. It will be useful to researchers interested in numerical linear algebra and engineers who use iterative methods for solving large algebraic systems. (jacket).

Paperback. Zustand: Brand New. 260 pages. 10.00x7.10x0.80 inches. In Stock.

Zustand: New. pp. 260 Figures.

Zustand: New. A rigorous introduction to iterative methods for the numerical treatment of linear systems, suitable for advanced undergraduates and above. Num Pages: 260 pages. BIC Classification: PBF; PBKS; PBUH. Category: (P) Professional & Vocational. Dimension: 179 x 254 x 16. Weight in Grams: 562. . 2014. Paperback. . . . . Books ship from the US and Ireland.