| Constrained Optimization and Image Space Analysis: Volume 1: Separation of Sets and Optimality Conditions 2005 Edition Contributor(s): Giannessi, Franco (Author) |
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ISBN: 038724770X ISBN-13: 9780387247700 Publisher: Springer OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: June 2005 Annotation: 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. |
| Additional Information |
| BISAC Categories: - Mathematics | Applied - Mathematics | Mathematical Analysis - Mathematics | Discrete Mathematics |
| Dewey: 519.6 |
| LCCN: 2005922927 |
| Series: Mathematical Concepts and Methods in Science and Engineering |
| Physical Information: 0.94" H x 7" W x 10" (2.03 lbs) 396 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |