Table of Contents

Preface; Part I. Numerical Linear Algebra: 1. A summary of results on matrices; 2. General results in the numerical analysis of matrices; 3. Sources of problems in the numerical analysis of matrices; 4. Direct methods for the solution of linear systems; 5. Iterative methods for the solution of linear systems; 6. Methods for the calculation of eigenvalues and eigenvectors; Part II. Optimisation: 7. A review of differential calculus. Some applications; 8. General results on optimisation. Some algorithms; 9. Introduction to non-linear programming; 10. Linear programming; Bibliography and comments; Main notations used; Index.

Reviews

'A valuable and welcome addition to the literature.' Mathematics of Computation

'Thanks to the author's sensible choice of material, clear proofs with many figures and the useful guide to the literature, the book can be wholeheartedly recommended to all those interested in this area.' Austrian Mathematical Society