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Nondifferentiable minimax fractional programming in complex spaces with parametric duality

机译:具有参数对偶性的复杂空间中的不可微极小分式规划

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The purpose of this paper is to study a duality programming problem for a complex nondifferentiable minimax fractional programming with complex variables. The necessary and sufficient optimality conditions are established by Lai and Huang (J Math Anal Appl 359:229-239, 2009). Employing the optimality conditions, we can constitute a parametric dual model problem. Moreover, we establish the duality theorem and prove that optimal values of the duality problem as well as the primary problem are equal under some reasonable assumptions. That is, there are no duality gap between the primary problem and its duality problem.
机译:本文的目的是研究具有复杂变量的复杂不可微minimax分数规划的对偶规划问题。 Lai和Huang(J Math Anal Appl 359:229-239,2009)建立了必要和充分的最优条件。利用最优条件,我们可以构成参数对偶模型问题。此外,我们建立了对偶定理,并证明在某些合理的假设下,对偶问题和主要问题的最优值相等。即,主要问题与其对偶问题之间没有对偶间隙。

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