Title
Maximum stable set formulations and heuristics based on continuous optimization.
Abstract
The stability number #(G) for a given graph G is the size of a maximum stable set inG. The Lovasz theta number provides an upper bound on #(G) and can be computed inpolynomial time as the optimal value of the Lovasz semidefinite program. In this paper,we show that restricting the matrix variable in the Lovasz semidefinite program to berank-one and rank-two, respectively, yields a pair of continuous, nonlinear optimizationproblems each having the global optimal value #(G). We propose...
Year
DOI
Venue
2002
10.1007/s10107-002-0356-4
Math. Program.
Keywords
Field
DocType
Computational Result,Polynomial Time,Nonlinear Optimization,Matrix Variable,Continuous Optimization
Continuous optimization,Discrete mathematics,Combinatorics,Mathematical optimization,Upper and lower bounds,Nonlinear programming,Heuristics,Independent set,Vertex cover,Time complexity,Semidefinite programming,Mathematics
Journal
Volume
Issue
ISSN
94
1
0025-5610
Citations 
PageRank 
References 
27
2.19
10
Authors
3
Name
Order
Citations
PageRank
Samuel Burer1114873.09
Renato D. C. Monteiro21250138.18
Yin Zhang368736.24