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About Constrained Optimization and Image Space Analysis: 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 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.
Detailed Information
| Author: | Franco Giannessi |
|---|---|
| Publication Year: | 2005 |
| Pages: | 403 |
| Language: | English |
| File Size: | 20.459 |
| Format: | |
| Price: | FREE |
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