On higher-order adjacent derivative of perturbation map in parametric vector optimization

被引:0
作者
Le Thanh Tung
机构
[1] Can Tho University,Department of Mathematics, College of Natural Sciences
来源
Journal of Inequalities and Applications | / 2016卷
关键词
higher-order adjacent derivative; parameterized vector optimization problem; perturbation map; proper perturbation map; weak perturbation map; higher-order sensitivity analysis; 90C46; 49J52; 46G05; 90C26; 90C29;
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摘要
This paper deals with higher-order sensitivity analysis in terms of the higher-order adjacent derivative for nonsmooth vector optimization. The relations between the higher-order adjacent derivative of the minima/the proper minima/the weak minima of a multifunction and its profile map are given. Then the relationships between the higher-order adjacent derivative of the perturbation map/the proper perturbation map/the weak perturbation map, and the higher-order adjacent derivative of a feasible map in objective space are considered. Finally, the formulas for estimating the higher-order adjacent derivative of the perturbation map, the proper perturbation map, the weak perturbation map via the adjacent derivative of the constraint map, and the higher-order Fréchet derivative of the objective map are also obtained.
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  • [1] Tanino T(1988)Sensitivity analysis in multiobjective optimization J. Optim. Theory Appl. 56 479-499
  • [2] Tanino T(1988)Stability and sensitivity analysis in convex vector optimization SIAM J. Control Optim. 26 521-536
  • [3] Shi DS(1991)Contingent derivative of the perturbation map in multiobjective optimization J. Optim. Theory Appl. 70 385-396
  • [4] Kuk H(1996)Sensitivity analysis in vector optimization J. Optim. Theory Appl. 89 713-730
  • [5] Tanino T(1996)Sensitivity analysis for convex multiobjective programming in abstract spaces J. Math. Anal. Appl. 202 645-648
  • [6] Tanaka M(2009)Sensitivity analysis in convex programming Comput. Math. Appl. 58 1239-1246
  • [7] Balbás A(1996)Sensitivity analysis in parameterized convex vector optimization J. Math. Anal. Appl. 202 511-522
  • [8] Jiménez Guerra P(1993)Sensitivity analysis in convex vector optimization J. Optim. Theory Appl. 77 145-159
  • [9] Jiménez Guerra P(2010)Generalized Clarke epiderivatives of parametric vector optimization problems J. Optim. Theory Appl. 146 77-94
  • [10] Melguizo MA(2015)Sensitivity analysis in convex optimization through the circatangent derivative J. Optim. Theory Appl. 165 420-438