Constrained Optimization and Image Space Analysis: Volume 1: Separation of Sets and Optimality Conditions (Mathematical Concepts and Methods in Science and Engineering #49)
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Fulfillment optionsConstrained Optimization and Image Space Analysis
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.
Details
- Publisher
- Springer US
- Author
- Franco Giannessi
- Format
- Hardcover
- Published
- Jun 15, 2005
- ISBN-13
- 9780387247700
- Pages
- 396
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Constrained Optimization and Image Space Analysis: Volume 1: Separation of Sets and Optimality Conditions (Mathematical Concepts and Methods in Science and Engineering #49)
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