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 introduce a concept of super efficient solution of the optimization problem for a set-valued mapping.
本文在局部凸空间中对集值映射最优化问题引入超有效解的概念。
The optimality conditions of (super)-efficient solution of set-valued optimization problems are presented in the sense of generalized gradient.
并给出集值优化问题的超有效解在广义梯度下的最优条件。
Using the resolvent operator technique, we obtain the approximate solution to a system of set-valued quasi-variational inclusions.
利用预解式算子技巧构造了一类求变分包含逼近解的迭代算法，并讨论了由此算法产生的迭代序列的收敛性。
Using the resolvent operator technique, we obtain the approximate solution to a system of set-valued quasi-variational inclusions.
利用预解式算子技巧构造了一类求变分包含逼近解的迭代算法，并讨论了由此算法产生的迭代序列的收敛性。
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