Mathematical Programming: Series A and B
Gap inequalities for the cut polytope
European Journal of Combinatorics - Special issue on discrete metric spaces
Combinatorial optimization
Solving quadratic (0,1)-problems by semidefinite programs and cutting planes
Mathematical Programming: Series A and B
Exploring the Relationship Between Max-Cut and Stable Set Relaxations
Mathematical Programming: Series A and B
Binary positive semidefinite matrices and associated integer polytopes
IPCO'08 Proceedings of the 13th international conference on Integer programming and combinatorial optimization
Geometry of Cuts and Metrics
Small bipartite subgraph polytopes
Operations Research Letters
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Laurent & Poljak introduced a class of valid inequalities for the max-cut problem, called gap inequalities, which include many other known inequalities as special cases. The gap inequalities have received little attention and are poorly understood. This paper presents the first ever computational results. In particular, we describe heuristic separation algorithms for gap inequalities and their special cases, and show that an LP-based cutting-plane algorithm based on these separation heuristics can yield very good upper bounds in practice.