2nd 2006. Slightly better than very good condition. Second Edition. Starting with illustrative real-world examples, this book exposes in a tutorial way algorithms for numerical optimization: fundamental ones (Newtonian methods, line-searches, trust-region, sequential quadrratic programming, etc.), as well as more specialized and advance ones (nonsmooth optimization, decomposition techniques, and interior-point methods). Yellow cardwraps. Light creasing to covers a few minor marks. Text block a little grubby. It is possible that there may be one or two instances of annotation but we didn't spot any. Packaged with care and promptly dispatched! N� de ref. del art�culo 1820873

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T�tulo: NUMERICAL OPTIMIZATION: THEORETICAL AND ...

Editorial: Springer

A�o de publicaci�n: 2006

Encuadernaci�n: Softcover

Condici�n: Very Good

Condici�n de la sobrecubierta: No Jacket

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Sinopsis:

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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The four authors are leading international specialists in various branches of nonlinear optimization (one of them received the Dantzig Prize). They are working - or have worked - at INRIA, the French National Institute for Research in Computer Science and Control, and they also teach in various universities and "Grandes �coles". All of them continually collaborate with industry on problems dealing with optimization, in fields such as energy management, geoscience, life sciences, etc.

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