Название: Numerical Linear Algebra: Theory and Applications
Автор: Larisa Beilina, Evgenii Karchevskii, Mikhail Karchevskii
Издательство: Springer International Publishing AG
Год: 2017
Формат: PDF
Страниц: 457
Размер: 10,77 МБ
Язык: English

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 MATLABare 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.