Books in the Computer Science and Scientific Computing series

This book is a survey of matrix perturbation theory. In particular, the authors cover perturbation theory of linear systems and least square problems, the eigenvalue problem, and the generalized eigenvalue problem as well as a treatment of vector and matrix norms, including the theory of unitary invariant norms.

This text is concerned primarily with the theory of linear and nonlinear programming, and a number of closely-related problems, and with algorithms appropriate to those problems. The first section discusses the simplex algorithm and the second looks at specific problems and their solutions.