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OverviewFull Product DetailsAuthor: Larisa Beilina , Evgenii Karchevskii , Mikhail KarchevskiiPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: Softcover reprint of the original 1st ed. 2017 Weight: 0.712kg ISBN: 9783319861272ISBN 10: 3319861271 Pages: 450 Publication Date: 04 June 2019 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsPreface.- 1. Preliminaries.- 2. Vector Spaces.- 3. Inner Product Spaces.- 4. Linear Operators.- 5. Canonical Forms and Factorizations.- 6. Vector and Matrix Norms.- 7. Elements of the Perturbation Theory.- 8. Solving Systems of Linear Equations.- 9. Numerical solution of Linear Least Squares Problems.- 10. Algorithms for the Nonsymmetric Eigenvalue Problem.- 11. Algorithms for Solution of Symmetric Eigenvalue problem.- 12. Introduction to Iterative Methods for Solution of Linear Systems.- A. Matlab Programs.- References.ReviewsIt provides a rock-solid theoretical background in a very approachable manner, a good overview of classical algorithms of numerical linear algebra and a good framework and guidance for numerical experiments. (Cyril Fischer, zbMATH 1396.65001, 2018) Author InformationLarisa Beilina is an Associate Professor in the Department of Mathematical Sciences at Chalmers University of Technology and Gothenburg University. Evgenii Karchevskii and Mikhail Karchevskii are both professors at the Institute of Computer Mathematics and Information Technologies at Kazan Federal University, Russia. Tab Content 6Author Website:Countries AvailableAll regions |