Optimality conditions for preinvex functions using symmetric derivative

IF 0.7 Q4 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
Sachin Rastogi, Akhlad Iqbal, Sanjeev Rajan
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引用次数: 0

Abstract

As a generalization of convex functions and derivatives, in this paper, the authors study the concept of a symmetric derivative for preinvex functions. Using symmetrical differentiation, they discuss an important characterization for preinvex functions and define symmetrically pseudo-invex and symmetrically quasi-invex functions. They also generalize the first derivative theorem for symmetrically differentiable functions and establish some relationships between symmetrically pseudo-invex and symmetrically quasi-invex functions. They also discuss the Fritz John type optimality conditions for preinvex, symmetrically pseudo-invex and symmetrically quasi-invex functions using symmetrical differentiability.
使用对称导数的前倒凸函数的最优性条件
作为凸函数和导数的推广,本文研究了前凸函数的对称导数的概念。利用对称微分,讨论了前凸函数的一个重要性质,并定义了对称伪凸函数和对称拟凸函数。推广了对称可微函数的一阶导数定理,建立了对称伪凸函数与对称拟凸函数之间的关系。利用对称可微性讨论了预凸函数、对称拟凸函数和对称拟凸函数的Fritz John型最优性条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Operations Research and Decisions
Operations Research and Decisions OPERATIONS RESEARCH & MANAGEMENT SCIENCE-
CiteScore
1.00
自引率
25.00%
发文量
16
审稿时长
15 weeks
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