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Optimality Conditions and Duality in Nondifferentiable Minimax Fractional Programming with Generalized Convexity

机译:具有广义凸的不可微Minimax分式规划的最优性条件和对偶。

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摘要

We establish sufficient optimality conditions for a class of nondifferentiable minimax fractional programming problems involving (F, α, ρ, d)-convexity. Subsequently, we apply the optimality conditions to formulate two types of dual problems and prove appropriate duality theorems.
机译:我们为涉及(F,α,ρ,d)-凸性的一类不可微极小分数规划问题建立了充分的最优条件。随后,我们应用最优性条件来公式化两种类型的对偶问题,并证明适当的对偶定理。

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