Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.13087/1143
Title: | Duality in nonconvex vector optimization | Authors: | Kasımbeyli, Refail Karimi, Masoud |
Keywords: | Vector optimization Separation theorem Duality Augmented Lagrangian Saddle point criterion |
Issue Date: | 2021 | Publisher: | Springer | Abstract: | In this paper, duality relations in nonconvex vector optimization are studied. An augmented Lagrangian function associated with the primal problem is introduced and efficient solutions to the given vector optimization problem, are characterized in terms of saddle points of this Lagrangian. The dual problem to the given primal one, is constructed with the help of the augmented Lagrangian introduced and weak and strong duality theorems are proved. Illustrative examples for duality relations are provided. | URI: | https://doi.org/10.1007/s10898-021-01018-x https://hdl.handle.net/20.500.13087/1143 |
ISSN: | 0925-5001 1573-2916 |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu WoS İndeksli Yayınlar Koleksiyonu |
Show full item record
CORE Recommender
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.