Preface Chapter 1: Introduction and Review Chapter 2: Vector Spaces Chapter 3: Linear Transformations Chapter 4: Introduction to the Moore-Penrose Pseudoinverse Chapter 5: Introduction to the Singular Value Decomposition Chapter 6: Linear Equations Chapter 7: Projections, Inner Product Spaces, and Norms Chapter 8: Linear Least Squares Problems Chapter 9: Eigenvalues and Eigenvectors Chapter 10: Canonical Forms Chapter 11: Linear Differential and Difference Equations Chapter 12: Generalized Eigenvalue Problems Chapter 13. Kronecker Products Bibliography Index.
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Description
'I found Laub's book a delightful read. It has become the sixth valuable 'Matrix Analysis' book on my shelves. As well as being admirably suited for the course at which it is aimed, its conciseness and clarity of presentation, together with the good index, make it easy to use for reference. The book is recommended both as a course text and as a handy guide to the subject.' Nicholas J. Higham, University of Manchester, SIAM Review

