Iterative methods linear systems von olshanskii maxim (19 Ergebnisse)

Zustand: New. pp. 264.

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).…

N.A. Zustand: New. ISBN:9789386235367 N.A.

Zustand: new.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

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. . . . . …

Paperback. Zustand: New. Iterative Methods for Linear Systems 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.Audience: 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.…

Zustand: New.

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

Zustand: As New. Unread book in perfect condition.

Zustand: New. pp. 260 Figures.

Paperback / softback. Zustand: New. New copy - Usually dispatched within 4 working days.

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. …

Zustand: New. pp. 260 Index.

Kartoniert / Broschiert. Zustand: New. KlappentextrnrnOffers a mathematically-rigorous introduction to fundamental iterative methods for systems of linear algebraic equations. This book provides a straightforward yet comprehensive analysis of the Krylov subspace methods, approaching .

Zustand: New. In English.

Paperback. Zustand: New. Iterative Methods for Linear Systems 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.Audience: 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.…