ON LAGRANGIAN DUALITY IN VECTOR OPTIMIZATION

被引:0
|
作者
Pellegrini, Letizia [1 ]
机构
[1] Univ Verona, Dept Econ, Via Cantarane 24, I-37129 Verona, Italy
关键词
Vector optimization; image space analysis; separation; Lagrangian duality;
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The aim of this paper is to study, starting from a separation scheme, some aspects of Lagrangian duality for vector constrained cxtremum problems. In particular, the image space approach and separation argument are exploited to derive a duality theorem. A class of nonconvex problems fulfilling the assumptions of such a theorem is outlined. The theorem is compared with similar results available in literature.
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页码:1209 / 1218
页数:10
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