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 thoroughly 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.
