A semidefinite programming-based heuristic for graph coloring
Discrete Applied Mathematics
Binary positive semidefinite matrices and associated integer polytopes
IPCO'08 Proceedings of the 13th international conference on Integer programming and combinatorial optimization
A Branch and Cut solver for the maximum stable set problem
Journal of Combinatorial Optimization
A new approach to the stable set problem based on ellipsoids
IPCO'11 Proceedings of the 15th international conference on Integer programming and combinatoral optimization
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The semidefinite programming formulation of the Lovász theta number does not only give one of the best polynomial simultaneous bounds on the chromatic number χ(G) or the clique number ω(G) of a graph, but also leads to heuristics for graph coloring and extracting large cliques. This semidefinite programming formulation can be tightened toward either χ(G) or ω(G) by adding several types of cutting planes. We explore several such strengthenings, and show that some of them can be computed with the same effort as the theta number. We also investigate computational simplifications for graphs with rich automorphism groups.