Matrix analysis presented in the context of numerical computation at a basic level.

The purpose of this book is to promote understanding of two phenomena: sensitivity of linear systems and least squares problems, and numerical stability of algo

This book presents a substantial part of matrix analysis that is functional analytic in spirit. Topics covered include the theory of majorization, variational p

Matrix algorithms are at the core of scientific computing and are indispensable tools in most applications in engineering. This book offers a comprehensive and

After reading this book, students should be able to analyze computational problems in linear algebra such as linear systems, least squares- and eigenvalue probl