On Higher-order Duality in Nondifferentiable Minimax Fractional Programming

被引：0

作者：

Al-Homidan, S. ^{[1
]}

Singh, Vivek ^{[2
]}

Ahmad, I ^{[1
]}

机构：

[1] King Fand Univ Petr & Minerals, Dept Math & Stat, Dhahran 31261, Saudi Arabia

[2] Indian Sch Mines, Indian Inst Technol, Dept Appl Math, Dhanbad 826004, Jharkhand, India

来源：

APPLICATIONS AND APPLIED MATHEMATICS-AN INTERNATIONAL JOURNAL | 2021年 / 16卷 / 01期

关键词：

Minimax programming; Fractional programming; Nondifferentiable programming; Higher-order duality; 2ND-ORDER DUALITY; OPTIMALITY CONDITIONS; SYMMETRIC DUALITY; ALPHA; RHO; (C;

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this paper, we consider a nondifferentiable minimax fractional programming problem with continuously differentiable functions and formulate two types of higher-order dual models for such optimization problem. Weak, strong and strict converse duality theorems are derived under higher-order generalized invexity.

引用

页码：417 / 438

页数：22

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