Duality for Nonconvex Approximation and Optimization
In addition, unpublished results and new proofs are provided. This monograph should be of great interest to experts in this and related fields. Ivan Singer is a Research Professor at the Simion Stoilow Institute of Mathematics in Bucharest, and a Member of the Romanian Academy. He is one of the pion...
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| Format: | eBook |
| Language: | English |
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New York, NY
Springer New York
2006, 2006
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| Edition: | 1st ed. 2006 |
| Series: | CMS Books in Mathematics, Ouvrages de mathématiques de la SMC
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Preliminaries
- Worst Approximation
- Duality for Quasi-convex Supremization
- Optimal Solutions for Quasi-convex Maximization
- Reverse Convex Best Approximation
- Unperturbational Duality for Reverse Convex Infimization
- Optimal Solutions for Reverse Convex Infimization
- Duality for D.C. Optimization Problems
- Duality for Optimization in the Framework of Abstract Convexity
- Notes and Remarks