Numerical Linear Algebra: Theory and Applications (Hardcover, 1st ed. 2017)

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 (R) 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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	2018
First published:	2017
Authors:	Larisa Beilina • Evgenii Karchevskii • Mikhail Karchevskii
Dimensions:	235 x 155 x 32mm (L x W x T)
Format:	Hardcover
Pages:	450
Edition:	1st ed. 2017
ISBN-13:	978-3-319-57302-1
Categories:	Books > Science & Mathematics > Mathematics > Algebra > General Promotions
LSN:	3-319-57302-0
Barcode:	9783319573021

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