Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1142620 | Operations Research Letters | 2011 | 6 Pages |
Abstract
We consider a hierarchical relaxation, called Handelman hierarchy, for a class of polynomial optimization problems. We prove that the rank of Handelman hierarchy, if applied to a standard quadratic formulation of Max-Cut, is exactly the same as the number of nodes of the underlying graph. Also we give an error bound for Handelman hierarchy, in terms of its level, applied to the Max-Cut formulation.
► We apply Handelman hierarchy to a standard quadratic formulation of Max-Cut. ► We prove that its rank is equal to the number of nodes and give an error bound. ► Duality between the Handelman hierarchy and RLT is presented.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Discrete Mathematics and Combinatorics
Authors
Myoung-Ju Park, Sung-Pil Hong,