Sufficient Optimality Conditions And Duality For Mathematical Programming Problems With Equilibrium Constraints
Keywords
Duality; Mathematical programming with equilibrium constraints; Optimality conditions; Pseudolinearity
Abstract
This paper deals with the optimality and duality for a mathematical programming problem with equilibrium constraints, MPEC for short, formulated as a mathematical programming with complementarity constraints. We establish that the M-stationary condition is a sufficient optimality condition for MPEC under the assumption of pseudolinearity on the functions involved. We formulate a Mond-Weir-type dual model for MPEC and establish weak and strong duality theorems. Suitable example is given to justify the significance of these results. To the best of our knowledge, these results have not been established till now.
Publication Date
10-1-2018
Publication Title
Communications on Applied Nonlinear Analysis
Volume
25
Issue
4
Number of Pages
68-84
Document Type
Article
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
85054714566 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85054714566
STARS Citation
Upadhyay, B. B. and Mohapatra, R. N., "Sufficient Optimality Conditions And Duality For Mathematical Programming Problems With Equilibrium Constraints" (2018). Scopus Export 2015-2019. 10243.
https://stars.library.ucf.edu/scopus2015/10243