Includes bibliographical references (pages 151-152) and index.
CONTENTS NOTE
Text of Note
Introduction and review -- Vector spaces -- Linear transformations -- Introduction to the Moore-Penrose pseudoinverse -- Introduction to the singular value decomposition -- Linear equations -- Projections, inner product spaces, and norms -- Linear least squares problems -- Eigenvalues and eigenvectors -- Canonical forms -- Linear differential and difference equations -- Generalized eigenvalue problems -- Kronecker products.
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SUMMARY OR ABSTRACT
Text of Note
"Because the tools of matrix analysis are applied on a daily basis to problems in biology, chemistry, econometrics, engineering, physics, statistics, and a wide variety of other fields, the text can serve a rather diverse audience. The book is primarily intended to be used as a text for senior undergraduate or beginning graduate students in engineering, the sciences, mathematics, computer science, or computational science who wish to be familiar enough with matrix analysis and linear algebra that they can effectively use the tools and ideas of these fundamental subjects in a variety of applications. However, individual engineers and scientists who need a concise reference or a text for self-study will also find this book useful."
Text of Note
"Prerequisites for using this text are knowledge of calculus and some previous exposure to matrices and linear algebra, including, for example, a basic knowledge of determinants, singularity of matrices, eigenvalues and eigenvectors, and positive definite matrices. There are exercises at the end of each chapter."--Jacket.