Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in
continuous optimization. It responds to the growing interest in optimization in engineering, science, and business
by focusing on the methods that are best suited to practical problems.
For this new edition the book has been updated throughout. There are new chapters on nonlinear interior methods
and derivative-free methods for optimization, both of which are used widely in practice and the focus of much current
research. Because of the emphasis on practical methods, as well as the extensive illustrations and exercises, the
book is accessible to a wide audience. It can be used as a graduate text in engineering, operations research, mathematics,
computer science, and business. It also serves as a handbook for researchers and practitioners in the field. The
authors have strived to produce a text that is pleasant to read, informative, and rigorous-one that reveals both
the beautiful nature of the discipline and its practical side.