On symmetric duality in nondifferentiable mathematical programming with F-convexity

被引：1

作者：

Ahmad I. ^{[1
]}

Husain Z. ^{[1
]}

机构：

[1] Department of Mathematics, Aligarh Muslim University

来源：

Journal of Applied Mathematics and Computing | 2005年 / 19卷 / 1-2期

关键词：

F-convexity; Integer programming; Minimax programming; Nondifferentiable programming; Symmetric duality;

D O I：

10.1007/BF02935812

中图分类号：

学科分类号：

摘要：

Usual symmetric duality results are proved for Wolfe and Mond -Weir type nondifferentiable nonlinear symmetric dual programs under F-convexity F-concavity and F-pseudoconvexity F-pseudoconcavity assumptions. These duality results are then used to formulate Wolfe and Mond-Weir type nondifferentiable minimax mixed integer dual programs and symmetric duality theorems are established. Moreover, nondifferentiable fractional symmetric dual programs are studied by using the above programs. © 2005 Korean Society for Computational & Applied Mathematics and Korean SIGCAM.

引用

页码：371 / 384

页数：13

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