Weak Fenchel and weak Fenchel-Lagrange conjugate duality for nonconvex scalar optimization problems

被引:4
|
作者
Kucuk, Yalcin [1 ]
Atasever, Ilknur [1 ]
Kucuk, Mahide [1 ]
机构
[1] Anadolu Univ, Dept Math, Eskisehir, Turkey
关键词
Nonconvex analysis; Nonsmooth analysis; Weak subdifferentials; Lower Lipschitz functions; Nonconvex optimization; EXTENSION;
D O I
10.1007/s10898-011-9794-y
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
In this work, by using weak conjugate maps given in (Azimov and Gasimov, in Int J Appl Math 1:171-192, 1999), weak Fenchel conjugate dual problem, , and weak Fenchel Lagrange conjugate dual problem are constructed. Necessary and sufficient conditions for strong duality for the , and primal problem are given. Furthermore, relations among the optimal objective values of dual problem constructed by using Augmented Lagrangian in (Azimov and Gasimov, in Int J Appl Math 1:171-192, 1999), , dual problems and primal problem are examined. Lastly, necessary and sufficient optimality conditions for the primal and the dual problems and are established.
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页码:813 / 830
页数:18
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