Ivan Singer
Duality for Nonconvex Approximation and Optimization
Gebonden Engels 2006 2006e druk 9780387283944Levertijd ongeveer 9 werkdagen
Gratis verzonden
Samenvatting
The theory of convex optimization has been constantly developing over the past 30 years. Most recently, many researchers have been studying more complicated classes of problems that still can be studied by means of convex analysis, so-called "anticonvex" and "convex-anticonvex" optimizaton problems. This manuscript contains an exhaustive presentation of the duality for these classes of problems and some of its generalization in the framework of abstract convexity. This manuscript will be of great interest for experts in this and related fields.
Specificaties
ISBN13:9780387283944
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:356
Uitgever:Springer New York
Druk:2006
Serie:CMS Books in Mathematics
Lezersrecensies
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Inhoudsopgave
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.
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