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Nondifferentiable minimax fractional programming under generalized univexity

  • S. K. Mishra
  • , S. Y. Wang
  • , K. K. Lai
  • , J. M. Shi

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Abstract

    In this paper, we are concerned with a nondifferentiable minimax fractional programming problem. We derive a Kuhn-Tucker-type sufficient optimality condition for an optimal solution to the problem and establish week, strong and converse duality theorems for the problem and its three different forms of dual problems. The results in this paper extend a few known results in the literature. © 2003 Elsevier B.V. All rights reserved.
    Original languageEnglish
    Pages (from-to)379-395
    JournalJournal of Computational and Applied Mathematics
    Volume158
    Issue number2
    DOIs
    Publication statusPublished - 15 Sept 2003

    Research Keywords

    • Duality
    • Nondifferentiable minimax fractional problem
    • Sufficient conditions
    • Univexity

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