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Second-order Karush-Kuhn-lucker optimality conditions for set-valued optimization

机译:集值优化的二阶Karush-Kuhn-lucker最优性条件

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In this paper, we propose the concept of a second-order composed contingent derivative for set-valued maps, discuss its relationship to the second-order contingent deriv-ative and investigate some of its special properties. By virtue of the second-order composed contingent derivative, we extend the well-known Lagrange multiplier rule and the Kurcyusz-Robinson-Zowe regularity assumption to a constrained set-valued optimization problem in the second-order case. Simultaneously, we also establish some second-order Karush-Kuhn-Tucker necessary and sufficient optimality conditions for a set-valued optimization problem, whose feasible set is determined by a set-valued map, under a generalized second-order Kurcyusz-Robinson-Zowe regularity assumption.
机译:在本文中,我们提出了集值映射的二阶合成或然导数的概念,讨论了它与二阶或然导数的关系,并研究了其某些特殊性质。借助于二阶合成的或有导数,我们将众所周知的Lagrange乘子规则和Kurcyusz-Robinson-Zowe正则性假设扩展到了二阶情况下的约束集值优化问题。同时,我们还针对广义二阶Kurcyusz-Robinson-Zowe下的集值优化问题建立了一些二阶Karush-Kuhn-Tucker充要条件,其可行集由集值映射确定规律性假设。

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