Iterative Methods for Linear Systems : Theory and Applications

Olshanskii, Maxim A.; Tyrtyshnikov, Eugene E.

ISBN 10: 1611973457 ISBN 13: 9781611973457
Published by SIAM-Society for Industrial and Applied Mathematics, 2014
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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.

About the Authors: 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.

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Title: Iterative Methods for Linear Systems : ...
Publisher: SIAM-Society for Industrial and Applied Mathematics
Publication Date: 2014
Binding: Soft cover
Condition: New

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Published by SIAM-Society for Industrial and, 2014
ISBN 10: 1611973457 ISBN 13: 9781611973457
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Paperback. 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. Seller Inventory # LU-9781611973457

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Condition: 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. Seller Inventory # V9781611973457

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Paperback. 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. Seller Inventory # LU-9781611973457

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