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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. Bestandsnummer des Verkäufers V9781611973457
A rigorous introduction to iterative methods for the numerical treatment of linear systems, suitable for advanced undergraduates and above.
Über die Autorinnen und Autoren:
Maxim A. Olshanskii is a professor in the Department of Mathematics at the University of Houston and an adjunct professor at Emory University and Moscow Institute of Physics and Technology. He is the Managing Editor of the Journal of Numerical Mathematics and 2001 recipient of the Young Scientists Award of the European Academy of Sciences.
Eugene E. Tyrtyshnikov is Director of the Institute of Numerical Mathematics of the Russian Academy of Sciences and Professor and Chairman at the Faculty of Computational Mathematics and Cybernetics of Moscow State University. He became a Corresponding Member of the Russian Academy of Sciences in 2006. He serves as associate editor of Linear Algebra and Its Applications and as a member of editorial boards of seven other journals.
Titel: Iterative Methods for Linear Systems: Theory...
Verlag: SIAM-Society for Industrial and Applied Mathematics
Erscheinungsdatum: 2014
Einband: Softcover
Zustand: New
Anbieter: HPB-Red, Dallas, TX, USA
paperback. Zustand: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Bestandsnummer des Verkäufers S_335222669
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Paperback. Zustand: Brand New. 260 pages. 10.00x7.10x0.80 inches. In Stock. Bestandsnummer des Verkäufers __1611973457
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Paperback. Zustand: new. Paperback. Systems of linear equations are ubiquitous in numerical analysis and scientific computing. and iterative methods are indispensable for the numerical treatment of such systems. This book offers a 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 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. Offers 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 the development and analysis of algorithms from various algorithmic and mathematical perspectives. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781611973457
Anbieter: Rarewaves.com UK, London, Vereinigtes Königreich
Paperback. Zustand: New. Systems of linear equations are ubiquitous in numerical analysis and scientific computing. and iterative methods are indispensable for the numerical treatment of such systems. This book offers a 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 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. Bestandsnummer des Verkäufers LU-9781611973457
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