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Franco Giannessi 
Constrained Optimization and Image Space Analysis 
Volume 1: Separation of Sets and Optimality Conditions

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Over the last twenty years, Professor Franco Giannessi, a highly respected researcher, has been working on an approach to optimization theory based on image space analysis. His theory has been elaborated by many other researchers in a wealth of papers. Constrained Optimization and Image Space Analysis unites his results and presents optimization theory and variational inequalities in their light.


It presents a new approach to the theory of constrained extremum problems, including Mathematical Programming, Calculus of Variations and Optimal Control Problems. Such an approach unifies the several branches: Optimality Conditions, Duality, Penalizations, Vector Problems, Variational Inequalities and Complementarity Problems. The applications benefit from a unified theory.

€96.29
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Table des matières

Elements of Convex Analysis and Separation.- to Image Space Analysis.- Alternative and Separation.- Optimality Conditions. Preliminary Results.
Langue Anglais ● Format PDF ● Pages 396 ● ISBN 9780387280202 ● Taille du fichier 21.5 MB ● Maison d’édition Springer US ● Lieu NY ● Pays US ● Publié 2006 ● Téléchargeable 24 mois ● Devise EUR ● ID 2144419 ● Protection contre la copie DRM sociale

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