Aim to study the cone subdifferential of the cone efficient solution sets for set valued vector optimization problem with perturbed order.
目的研究锥扰动集值映射向量优化问题锥有效解的锥次可微性。
In this paper, we prove a theorem on the convergence of the gradient of K-S function to the subdifferential of corresponding maximum function.
本文证明了一条关于K - S函数的梯度收敛于相应的极大值由数的次微分的定理。
And the expression of its subdifferential is developed in the case that the effective domain of the sup-type function is a non-empty convex set.
在极大值函数的有效域为非空凸集的条件下研究了次微分，并给出它的结构表达式。
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