Computational matrix analysis
 Responsibility
 Alan J. Laub.
 Language
 English.
 Imprint
 Philadelphia : Society for Industrial and Applied Mathematics, c2012.
 Physical description
 xiii, 154 p. : ill. ; 26 cm.
 Series
 Other titles in applied mathematics.
Access
Available online
Science Library (Li and Ma)
Stacks
Call number  Status 

QA274.2 .L38 2012  Unknown 
More options
Creators/Contributors
 Author/Creator
 Laub, Alan J., 1948
Contents/Summary
 Bibliography
 Includes bibliographical references (p. 1417150) and index.
 Contents

 Preface 1. Preliminaries and notation 2. Introduction to finite arithmetic 3. Conditioning and numerical stability 4. Introduction to rounding analysis 5. Numerical matrix algebra 6. Gaussian elimination 7. Solving linear systems 8. Linear least squares problems 9. Computing eigenvalues and eigenvectors 10. Other QRtype algorithms 11. Applications Bibliography Index.
 (source: Nielsen Book Data)9781611972207 20160609
 Publisher's Summary
 This text provides an introduction to numerical linear algebra together with its application to solving problems arising in statespace control and systems theory. The book provides a number of elements designed to help the reader learn to use numerical linear algebra in daytoday computing or research, including a brief review of matrix analysis and an introduction to finite (IEEE) arithmetic, alongside discussion of mathematical software topics. In addition to the fundamental concepts, the text covers statistical condition estimation and gives an overview of certain computational problems in control and systems theory. Engineers and scientists will find this text valuable as a theoretical resource to complement their work in algorithms. For graduate students beginning their study, or advanced undergraduates, this text is ideal as a onesemester course in numerical linear algebra and is a natural followon to the author's previous book, Matrix Analysis for Scientists and Engineers.
(source: Nielsen Book Data)9781611972207 20160609
Subjects
 Subject
 Matrix analytic methods > Data processing.
Bibliographic information
 Publication date
 2012
 Series
 Other titles in applied mathematics
 ISBN
 9781611972207
 1611972205