| 书目名称 | Numerical Linear Algebra: Theory and Applications | | 编辑 | Larisa Beilina,Evgenii Karchevskii,Mikhail Karchev | | 视频video | | | 概述 | Presents extended basic theory of linear algebra.Includes programs in MATLAB that provide students with experience in implementation and evaluation of numerical algorithms.Perfect for a one or two sem | | 图书封面 |  | | 描述 | 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.. | | 出版日期 | Textbook 2017 | | 关键词 | Eigenvalues; Eigenvectors; Large Sparse Matrices; Matrix Algorithms; Matrix Computatioms; Numerical Linea | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-57304-5 | | isbn_softcover | 978-3-319-86127-2 | | isbn_ebook | 978-3-319-57304-5 | | copyright | Springer International Publishing AG 2017 |
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发表于 2025-3-21 17:10:55
