Kuhn-Tucker Type Necessary Optimality Conditions for a Class of Nonsmooth Minimax Fractional Programming
Received:January 26, 2005  Revised:July 03, 2006
Key Words: nonsmooth minimax fractional programming   Kuhn-Tucker type necessary conditions   constraint qualification.  
Fund Project:the National Natural Science Foundation of China (60473097; 60673177).
Author NameAffiliation
WU Hui-xian Department of Mathematics, Hangzhou Dianzi University, Zhejiang 310018, China 
LUO He-zhi Department of Applied Mathematics, Zhejiang University of Technology, Zhejiang 310032, China 
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Abstract:
      In this paper, we consider a class of nonsmooth minimax fractional programming problems with nonlinear inequality constraints, where the numerator in the objective function is in the form of sum of differentiable function and convex function while the denominator is in the form of difference of a differentiable function and a convex function, and the constrained functions are differentiable. The Kuhn-Tucker type necessary optimality conditions for such class of problems are developed under the Arrow-Hurwicz-Uzawa constraint qualification. The results obtained in this paper improve and generalize some existing results in the literature.
Citation:
DOI:10.3770/j.issn:1000-341X.2007.04.009
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