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

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 Analys...

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Bibliografische gegevens
Hoofdauteur: Giannessi, Franco, 1935-
Formaat: Livre numérique
Taal:Anglais
Gepubliceerd in: New York, NY : Springer US [20..].
Cham : Springer Nature
Editie:1st ed. 2005.
Reeks:Mathematical Concepts and Methods in Science and Engineering 49
Online toegang:Accès sur la plateforme de l'éditeur
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Opmerking: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Constrained Optimization and Image Space Analysis, Texte imprimé, 9780387247700
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505 1 |a Elements of Convex Analysis and Separation to Image Space Analysis Alternative and Separation Optimality Conditions. Preliminary Results 
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520 |a 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 
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