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A Fenchel-Rockafellar duality theorem for set-valued optimization
Journal article   Peer reviewed

A Fenchel-Rockafellar duality theorem for set-valued optimization

Optimization, Vol.60(8-9), pp.1023-1043
60
01/01/2011
Handle:
https://hdl.handle.net/10863/624

Abstract

Duality Fenchel conjugate Fenchel-Rockafellar theorem Set relations Set-valued risk measures Supremal convolution Set-valued function Conlinear space
A duality theorem of the Fenchel-Rockafellar type for set-valued optimization problems is presented along with a result for the conjugate of the sum of two set-valued functions and a chain rule. The underlying solution concepts rely on order complete lattices of sets defined via set relations. Set-valued replacements for linear operators are used as dual variables, for example in order to define Fenchel conjugates for set-valued functions. An application to mathematical finance is given.

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