Nondifferentiable Minimax Programming Problems in Complex Spaces Involving Generalized Convex Functions

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Higher order symmetric duality in nondifferentiable multi-objective programming problems involving generalized cone convex functions

A pair of Mond–Weir type multi-objective higher order symmetric dual programs over arbitrary cones is formulated. Weak, strong and converse duality theorems are established under higher order K –F-convexity assumptions. Our results generalize several known results in the literature.

متن کامل

Duality in nondifferentiable minimax fractional programming with generalized convexity

A Mond–Weir type dual for a class of nondifferentiable minimax fractional programming problem is considered. Appropriate duality results are proved involving (F,a,q,d)-pseudoconvex functions. 2005 Elsevier Inc. All rights reserved.

متن کامل

Generalized Minimax Programming with Nondifferentiable (G, β)-Invexity

We consider the generalized minimax programming problem (P) in which functions are locally Lipschitz (G, β)-invex. Not only G-sufficient but also G-necessary optimality conditions are established for problem (P). With G-necessary optimality conditions and (G, β)-invexity on hand, we construct dual problem (DI) for the primal one (P) and prove duality results between problems (P) and (DI). These...

متن کامل

Higher-Order Duality in Nondifferentiable Minimax Programming with Generalized Type I Functions

A unified higher-order dual for a nondifferentiable minimax programming problem is formulated. Weak, strong and strict converse duality theorems are discussed involving generalized higher-order (F,α,ρ, d)-Type I functions.

متن کامل

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

*Correspondence: [email protected] Department of Mathematics, University of Tabuk, Tabuk, Kingdom of Saudi Arabia Abstract 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 ext...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Optimization

سال: 2013

ISSN: 2314-6486

DOI: 10.1155/2013/297015