ON VECTOR VARIATIONAL INEQUALITIES AND NONSMOOTH VECTOR OPTIMIZATION PROBLEMS WITH GENERALIZED APPROXIMATE INVEXITY

被引:0
|
作者
Bhardwaj, Rohit Kumar [1 ]
Khan, Faizan Ahmad [2 ]
Ram, Tirth [1 ]
机构
[1] Univ Jammu, Dept Math, Jammu 180006, India
[2] Univ Tabuk, Dept Math, Tabuk 71491, Saudi Arabia
来源
JOURNAL OF MATHEMATICAL ANALYSIS | 2023年 / 14卷 / 03期
关键词
Key words and phrases; Vector variational inequalities; Nonsmooth vector optimization; gen-eralized approximate invex functions; approximate efficient solutions; CONVEXITY; OPTIMALITY; PRINCIPLE;
D O I
10.54379/JMA-2023-3-3
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we consider two types of vector variational inequal-ities namely, Minty vector variational inequalities(MVVI) and Stampacchia Vector variational inequalities(SVVI) for a nonsmooth vector optimization problem involving locally Lipschitz generalized approximate invex functions. We formulate approximate (MVVI) and (SVVI) involving Clarke's generalized Jacobians and exploit them to characterize an approximate efficient solutions of the nonsmooth vector optimization problems to approximate (MVVI) and (SVVI) of different types. We also give an example to show the validity of main results. Our newly proved results generalize some well-known results in the literature.
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页码:39 / 50
页数:12
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