2013•Journal of Inequalities and ApplicationsOpen access

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

Meraj Ali Khan

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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 extend some previously known results on nondifferentiable minimax fractional programming in the literature. MSC: 90C32, 49K35, 49N15.

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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 extend some previously known results on nondifferentiable minimax fractional programming in the literature. MSC: 90C32, 49K35, 49N15.

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Available 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 extend some previously known results on nondifferentiable minimax fractional programming in the literature. MSC: 90C32, 49K35, 49N15.

Key concepts: Mathematics, Minimax, Convexity, Duality (order theory), Converse, Fractional programming, Strong duality, Order (exchange)

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