This book starts with illustrations of the ubiquitous character of
optimization, and describes numerical algorithms in a tutorial way. It
covers fundamental algorithms as well as more specialized and advanced
topics for unconstrained and constrained problems. This new edition of
Numerical Optimization contains computational exercises in the form of
case studies which help understanding optimization methods beyond their
theoretical description when coming to actual implementation.