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

页码：878 / 886

页数：9