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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Autor principal: Giannessi, Franco, 1935-
Format: Livre numérique
Idioma:Anglais
Publicat: New York, NY : Springer US [20..].
Cham : Springer Nature
Edició:1st ed. 2005.
Col·lecció:Mathematical Concepts and Methods in Science and Engineering 49
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Nota: 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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Sumari: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
Descripció de l’ítem:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9780387280202
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