On second-order duality for nondifferentiable minimax fractional programming

被引：13
作者：
Gupta, S. K. [1 ]
Dangar, D. [2 ]
机构：
[1] Indian Inst Technol, Dept Math, Roorkee 247667, Uttar Pradesh, India
[2] Marwadi Educ Fdn Grp Inst, Dept Math, Rajkot 360005, Gujarat, India
来源：
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS | 2014年 / 255卷
关键词：
Minimax fractional programming; Nondifferentiable programming; Second-order duality; eta-bonvexity; OPTIMALITY CONDITIONS; GENERALIZED CONVEXITY; SUFFICIENT CONDITIONS; UNIVEXITY;
D O I：
10.1016/j.cam.2013.06.044
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
Two types of second-order dual models for a nondifferentiable minimax fractional programming problem are formulated and proved weak, strong, strict converse duality theorems using ri-bonvexity assumptions. Special cases are also discussed to show that this work extends some known results of the literature. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码：878 / 886
页数：9
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