Optimality and duality for nonsmooth minimax programming problems using convexifactor

Author:

Ahmad I.1,Kummari Krishna2,Singh Vivek3,Jayswal Anurag3

Affiliation:

1. Department of Mathematics and Statistics, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

2. Department of Mathematics, School of Applied Science, KIIT University, Bhubaneswar, Odisha, India

3. Department of Applied Mathematics, Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand, India

Abstract

The aim of this work is to study optimality conditions for nonsmooth minimax programming problems involving locally Lipschitz functions by means of the idea of convexifactors that has been used in [J. Dutta, S. Chandra, Convexifactors, generalized convexity and vector optimization, Optimization, 53 (2004) 77-94]. Further, using the concept of optimality conditions, Mond-Weir and Wolfe type duality theory has been developed for such a minimax programming problem. The results in this paper extend the corresponding results obtained using the generalized Clarke subdifferential in the literature.

Publisher

National Library of Serbia

Subject

General Mathematics

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