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.
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