Constrained Optimization and Image Space Analysis : Volume 1: Separation of Sets and Optimality Conditions /
By: Giannessi, Franco [author.].
Contributor(s): SpringerLink (Online service).
Material type:
BookSeries: Mathematical Concepts and Methods in Science and Engineering: 49Publisher: Boston, MA : Springer US, 2005.Description: XII, 396 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9780387280202.Subject(s): Mathematics | Mathematical analysis | Analysis (Mathematics) | Applied mathematics | Engineering mathematics | Mathematical optimization | Combinatorics | Mechanical engineering | Mathematics | Applications of Mathematics | Optimization | Combinatorics | Analysis | Mechanical EngineeringDDC classification: 519 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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E books
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PK Kelkar Library, IIT Kanpur | Available | EBK6284 |
Elements of Convex Analysis and Separation -- to Image Space Analysis -- Alternative and Separation -- Optimality Conditions. Preliminary Results.
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.
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