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Añadir al carritoSoft cover. Condición: 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).
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Publicado por SIAM-Society for Industrial and Applied Mathematics, 2014
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Añadir al carritoPaperback. Condición: 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.
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Publicado por SIAM-Society for Industrial and Applied Mathematics, 2014
ISBN 10: 1611973457 ISBN 13: 9781611973457
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Añadir al carritoCondición: 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. . . . .
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Publicado por SIAM-Society for Industrial and Applied Mathematics, 2014
ISBN 10: 1611973457 ISBN 13: 9781611973457
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Publicado por Society for Industrial & Applied Mathematics,U.S., New York, 2014
ISBN 10: 1611973457 ISBN 13: 9781611973457
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Añadir al carritoPaperback. Condición: new. Paperback. 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. 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.
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Publicado por Springer, 1997
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Añadir al carritoHardcover. Condición: New. ISBN:9780817639167.
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Publicado por Birkhäuser, Birkhäuser, 2012
ISBN 10: 1461264138 ISBN 13: 9781461264132
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Probably I ought to explain why one more book on numerical methods can be useful. Without any doubt, there are many quite good and excellent books on the subject. But I know definitely that I did not realize this when I was a student. In this book, my first desire was to present those lectures that I wished I would have heard when I was a student. Besides, in spite of the profusion of textbooks, introductory courses, and monographs on numerical methods, some of them are too elementary, some are too difficult, some are far too overwhelmedwith applications, and most of them are too lengthy for those who want to see the whole picture in a short time. I hope that the brevity of the course left me no chance to obscure the beauty and depth of mathematical ideas behind the theory and methods of numerical analysis. I am convincedthat such a book should be very conciseindeed. It should be thoroughly structured, giving information in short sections which, ideally, are a half-page in length. Equally important, the book should not give an impression that nothing is left to work on in this field. Any time it becomes possible to say something about modern development and recent results, I do try to find time and place for this.