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Soft cover. Condition: 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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Published by SIAM-Society for Industrial and Applied Mathematics, 2014
ISBN 10: 1611973457 ISBN 13: 9781611973457
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Add to basketPaperback. Condition: 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.
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Published by SIAM-Society for Industrial and Applied Mathematics, 2014
ISBN 10: 1611973457 ISBN 13: 9781611973457
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Add to basketCondition: 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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Published by Society for Industrial & Applied Mathematics,U.S., New York, 2014
ISBN 10: 1611973457 ISBN 13: 9781611973457
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Paperback. Condition: 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. Iterative methods for solving linear systems are the focus of this book, which is ideal as a supplementary text for graduate or advanced undergraduate courses in numerical linear algebra. This book distinguishes itself with a comprehensive treatment of both Krylov subspace methods and the idea of preconditioning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by SIAM-Society for Industrial and Applied Mathematics, 2014
ISBN 10: 1611973457 ISBN 13: 9781611973457
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Published by Springer, 1997
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