Numerical Linear Algebra: Theory and Applications

Beschreibung

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 eigen problems.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.
 
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 semester course at the advanced undergraduate or graduate level Includes supplementary material: sn.pub/extras Includes supplementary material: sn.pub/extras

Autor*in

Larisa Beilina

Themen in »Numerical Linear Algebra: Theory and Applications«

Eigenvalues Eigenvectors Large Sparse Matrices Matrix Algorithms Matrix Computatioms Numerical Linear Algebra matrix theory

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 “It 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)
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