二阶半拟、半拟锥凸函数的非光滑向量优化问题

S. Sharma, Priyanka Yadav
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引用次数: 1

摘要

最近,Suneja et al.[26]引入了一类新的二阶锥-(η, ξ)-凸函数及其推广,并利用它们证明了二阶Karush-Kuhn-Tucker (KKT)型最优性条件和对偶性结果,该问题涉及一阶可微函数和二阶方向可微函数。在本文中,我们进一步研究了一个非光滑向量优化问题,其中所涉及的函数是一阶和二阶方向可微的。从二阶方向导数的角度引入了一类新的非光滑二阶锥-半拟凸函数和非光滑二阶锥-半拟凸函数。利用这些函数证明了同一问题的二阶KKT型充分最优性条件和对偶性结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nonsmooth Vector Optimization Problem Involving Second-Order Semipseudo, Semiquasi Cone-Convex Functions
Recently, Suneja et al. [26] introduced new classes of second-order cone-(η, ξ)-convex functions along with their generalizations and used them to prove second-order Karush–Kuhn–Tucker (KKT) type optimality conditions and duality results for the vector optimization problem involving first-order differentiable and second-order directionally differentiable functions. In this paper, we move one step ahead and study a nonsmooth vector optimization problem wherein the functions involved are first and second-order directionally differentiable. We introduce new classes of nonsmooth second-order cone-semipseudoconvex and nonsmooth second-order cone-semiquasiconvex functions in terms of second-order directional derivatives. Second-order KKT type sufficient optimality conditions and duality results for the same problem are proved using these functions.
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