Optimality conditions and sensitivity analysis in parametric nonconvex minimax programming

In this paper, we perform optimality conditions and sensitivity analysis for parametric nonconvex minimax programming problems. Our aim is to study the necessary optimality conditions by using the Mordukhovich (limiting) subdifferential and to give upper estimations for the Mordukhovich subdifferent...

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Veröffentlicht in:Journal of global optimization Jg. 90; H. 1; S. 53 - 72
Hauptverfasser: An, D. T. V., Hung, N. H., Ngoan, D. T., Tuyen, N. V.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.09.2024
Springer
Springer Nature B.V
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ISSN:0925-5001, 1573-2916
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Zusammenfassung:In this paper, we perform optimality conditions and sensitivity analysis for parametric nonconvex minimax programming problems. Our aim is to study the necessary optimality conditions by using the Mordukhovich (limiting) subdifferential and to give upper estimations for the Mordukhovich subdifferential of the optimal value function in the problem under consideration. The optimality conditions and sensitivity analysis are obtained by using upper estimates for Mordukhovich subdifferentials of the maximum function. The results on optimality conditions are then applied to parametric multiobjective optimization problems. An example is given to illustrate our results.
Bibliographie:ObjectType-Article-1
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ISSN:0925-5001
1573-2916
DOI:10.1007/s10898-024-01388-y