The first contemporary comprehensive treatment of optimization without derivatives. This text explains how sampling and model techniques are used in derivative-

This book is designed as a textbook, suitable for self-learning or for teaching an upper-year university course on derivative-free and blackbox optimization. Th

The absence of derivatives, often combined with the presence of noise or lack of smoothness, is a major challenge for optimisation. This book explains how sampl

Computational optimization is an important paradigm with a wide range of applications. In virtually all branches of engineering and industry, we almost always t

This book provides the foundations of the theory of nonlinear optimization as well as some related algorithms and presents a variety of applications from divers