Second-order duality for nondifferentiable minimax fractional programming problems with generalized convexity

被引：1

作者：

Khan, Meraj Ali ^{[1
]}

机构：

[1] Univ Tabuk, Dept Math, Tabuk, Saudi Arabia

来源：

JOURNAL OF INEQUALITIES AND APPLICATIONS | 2013年

关键词：

minimax programming; fractional programming; duality; generalized convexity; OPTIMALITY CONDITIONS;

D O I：

10.1186/1029-242X-2013-500

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In the present paper, we are concerned with second-order duality for nondifferentiable minimax fractional programming under the second-order generalized convexity type assumptions. The weak, strong and converse duality theorems are proved. Results obtained in this paper extend some previously known results on nondifferentiable minimax fractional programming in the literature.

引用

页数：9

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