Abstract
In this paper, we propose an approach to characterizing \({\epsilon} \)-solution sets of convex programs with a given \({\epsilon} >0\). The results are divided into two parts. The first one is devoted to establishing the expressions of \({\epsilon} \)-solution sets of a class of convex infinite programs. The representation is given based on the study of relationships among the following three sets: the set of Lagrange multipliers corresponding to a given \({\epsilon} \)-solution, the set of \({\epsilon} \)-solutions of the dual problem corresponding, and the set of \({\epsilon} \)-Kuhn–Tucker vectors associated with the problem in consideration. The second one is devoted to some special cases: the \({\epsilon} \)-solution sets of convex programs that have set constraints and the almost \({\epsilon} \)-solution sets of convex programs that have finite convex constraints. Several examples are given.
This is a preview of subscription content,
to check access.Similar content being viewed by others
References
Aubin J-P, Vinter RB (2007) Convex Analysis and Optimization. Pitman Advanced Publishing Program, Boston
Burachik RS, Jeyakumar V (2005) A new geometric condition for Fenchel’s duality in infinite dimensional spaces. Math Program 104:229–233
Burke JV, Ferris M (1991) Characterization of solution sets of convex programs. Oper Res Lett 10:57–60
Dinh N, Son TQ (2007) Approximate optimality conditions and duality for convex infinite programming problems. J. Sciences & Technology Development 10:29–38
Dinh N, Goberna MA, López MA, Son TQ (2007) New Farkas-type constraint qualifications in convex infinite programming. ESAIM Control Optim Calc Var 13:580–597
Draha A, Dutta J (2012) Optimality Conditions in Convex Optimization: A Finite Dimensional View. CRC Press Taylor Francis Group, New York
Ivanov VI (2018) Characterizations of solution sets of differentiable quasiconvex programming problems. J Optim Theory Appl 181:144–162
Jeyakumar V, Yang XQ (1995) Characterizing the solution sets of pseudo-linear programs. J Optim Theory Appl 87:747–755
Jeyakumar V, Lee GM, Dinh N (2004) Lagrange multiplier conditions characterizing optimal solution sets of cone-constrained convex programs. J Optim Theory Appl 123:83–103
Kim DS, Son TQ (2011) Characterizations of solution sets of a class of nonconvex semi-infinite programming problems. J Nonlinear Convex Anal 12:429–440
Kim DS, Son TQ (2018) An approach to \({\epsilon} \)-duality theorems for nonconvex semi-infinite multiobjective optimization problems. Taiwanese J Math 22:1261–1287
Lalitha CS, Mehta M (2009) Characterizations of solution sets of mathematical programs in terms of Lagrange multipliers. Optimization 58:995–1007
Mangasarian OL (1988) A simple characterization of solution sets of convex programs. Oper Res Lett 7:21–26
Scovel C, Hush D, Steinwart I (2007) Approximate duality. J Optim Theory Appl 135:429–443
Sisarat N, Wangkeeree R, Lee GM (2020) Some characterizations of robust solution set for uncertain convex optimization problems with locally Lipschitz inequality constraints. J Ind Manag Optim 16:469–493
Son TQ (2013) Refinements of \({\epsilon} \)-duality theorems for a nonconvex problem with in infinite number of constraints. J Nonlinear Anal Optim 4:61–70
Son TQ, Dinh N (2008) Characterizations of optimal solution sets of convex infinite programs. TOP 16:147–163
Son TQ, Kim DS (2013) \({\epsilon} \)-mixed type duality for nonconvex multiobjective programs with an infinite number of constraints. J Glob Optim 57:447–465
Son TQ, Kim DS (2014) A new approach to characterize the solution set of a pseudoconvex programming problem. J Comput Appl Math 261:333–340
Son TQ, Strodiot JJ, Nguyen VH (2009) \({\epsilon} \)-optimality and \({\epsilon} \)-Lagrangian duality for a nonconvex programming problem with an infinite number of constraints. J Optim Theory Appl 141:389–409
Son TQ, Tuyen NV, Wen C-F (2020) Optimality conditions for approximate Pareto solutions of a nonsmooth vector optimization problem with an infinite number of constraints. Acta Math Vietnam 45:435–448
Strodiot JJ, Nguyen VH, Heukems N (1983) \({\epsilon} \)-optimal solutions in nondifferentiable convex programming and some related questions. Math Program 25:307–328
Tuyen NV (2021) Approximate solutions of interval-valued optimization problems. Invest Oper 42:223–237
Tuyen NV, Xiao Y-B, Son TQ (2020) On approximate KKT optimality conditions for cone-constrained vector optimization problems. J Nonlinear Convex Anal 21:105–117
Acknowledgements
The authors would like to thank the two anonymous reviewers, whose suggestions and comments improved the paper. The research of the first author was funded by Vietnam Ministry of Education and Training under Grant number B2021-SP2-06. A part of this work was done while he was visiting Vietnam Institute for Advanced Study in Mathematics (VIASM). He would like to thank VIASM for support and hospitality. The research of the second author was supported partially by the Grant MOST 108-2115-M-037-001, and the grant from Research Center for Nonlinear Analysis and Optimization Kaohsiung Medical University, Taiwan. The research of the third author was supported partially by Saigon University. He would also like to express his sincere thanks to the Department of Applied Mathematics, National Sun Yat-sen University, Kaohsiung, Taiwan, where parts of his research were carried out.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Tuyen, N.V., Wen, CF. & Son, T.Q. An approach to characterizing \(\epsilon \)-solution sets of convex programs. TOP 30, 249–269 (2022). https://doi.org/10.1007/s11750-021-00616-y
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11750-021-00616-y
Keywords
- \({\epsilon} \)-solution
- \({\epsilon} \)-solution set
- Minimizing sequence
- \({\epsilon} \)-Kuhn–Tucker vector