Title
Strong duality in optimization: shifted power reformulation
Abstract
For a general class of non-convex optimization problems, a class of power reformulation closes the duality gap between the primal problem and its Lagrangian dual, when the order of the power is sufficiently large. In this paper, we first estimate a lower bound of the power above which the attainment of the zero duality gap can be ensured. After introducing a suitable shifting, we further show, surprisingly, that order three is always sufficient to guarantee the zero duality gap. We then extend the proposed shifted power reformulation to discrete optimization.
Year
DOI
Venue
2016
10.1080/10556788.2015.1104678
Optimization Methods and Software
Keywords
Field
DocType
discrete optimization,strong duality
Mathematical optimization,Duality gap,Perturbation function,Weak duality,Discrete optimization,Duality (optimization),Strong duality,Wolfe duality,Mathematics,Convex analysis
Journal
Volume
Issue
ISSN
31
4
1055-6788
Citations 
PageRank 
References 
0
0.34
5
Authors
2
Name
Order
Citations
PageRank
Yong Xia17116.57
Duan Li25612.31