OPTIMALITY CONDITIONS FOR VECTOR VARIATIONAL INEQUALITIES VIA IMAGE SPACE ANALYSIS

被引：0
|
作者：
Mastroeni, G. [1 ]
Pappalardo, M. [1 ]
机构：
[1] Univ Pisa, Dept Comp Sci, Lgo B Pontecorvo 3, I-56100 Pisa, Italy
来源：
JOURNAL OF NONLINEAR AND VARIATIONAL ANALYSIS | 2021年 / 5卷 / 05期
关键词：
Image space analysis; Separation theorems; Vector variational inequalities; LAGRANGE MULTIPLIERS; OPTIMIZATION; INTERIORS;
D O I：
10.23952/jnva.5.2021.5.04
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In this paper, we outline the main features of the image space analysis for vector variational inequalities with cone constraints. Exploiting a suitable separation scheme in the associated image space, we derive saddle point and Karush-Kuhn-Tucker type optimality conditions for the given vector variational inequality.
引用
收藏
页码：673 / 682
页数：10
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