Abstract
Duality results for a class of nondifferentiable mathematical programming problems are given. These results allow for the weakening of the usual convexity conditions required for duality to hold. A pair of symmetric and self dual nondifferentiable programs under weaker convexity conditions are also given. A subgradient symmetric duality is proposed and its limitations discussed. Finally, a pair of nondifferentiable mathematical programs containing arbitrary norms is presented.
AMS 1980 Subject Classifications:
1Research by this author was carried out while he was a visiting research fellow at the University of Melbourne
1Research by this author was carried out while he was a visiting research fellow at the University of Melbourne
Notes
1Research by this author was carried out while he was a visiting research fellow at the University of Melbourne