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Numerical linear algebra: Theory and applications

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dc.contributor.author Beilina L.
dc.contributor.author Karchevskii E.
dc.contributor.author Karchevskii M.
dc.date.accessioned 2018-04-05T07:10:29Z
dc.date.available 2018-04-05T07:10:29Z
dc.date.issued 2017
dc.identifier.uri http://dspace.kpfu.ru/xmlui/handle/net/130480
dc.description.abstract © Springer International Publishing AG 2017. All rights reserved. This book combines a solid theoretical background in linear algebra with practical algorithms for numerical solution of linear algebra problems. Developed from a number of courses taught repeatedly by the authors, the material covers topics like matrix algebra, theory for linear systems of equations, spectral theory, vector and matrix norms combined with main direct and iterative numerical methods, least squares problems, and eigenproblems. Numerical algorithms illustrated by computer programs written in MATLAB® are also provided as supplementary material on SpringerLink to give the reader a better understanding of professional numerical software for the solution of real-life problems. Perfect for a one- or two-semester course on numerical linear algebra, matrix computation, and large sparse matrices, this text will interest students at the advanced undergraduate or graduate level.
dc.title Numerical linear algebra: Theory and applications
dc.type Book
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 1
dc.source.id SCOPUS-2017-SID85034754731


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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