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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.

Author(s): Franco Giannessi
Series: Mathematical Concepts and Methods in Science and Engineering
Edition: 1
Publisher: Springer
Year: 2005

Language: English
Commentary: (add ocr)
Pages: 405