Cutting-Plane Algorithms and Solution Whitening for the Vertex-Cover Problem
G. Claussen, A.K. Hartmann

TL;DR
This paper investigates the phase transition and algorithmic boundaries of the NP-hard vertex-cover problem on random graphs using linear programming and cutting-plane methods, revealing new transitions and insights into solution structure.
Contribution
It introduces cutting-plane techniques to improve LP solutions for vertex cover, identifying a new algorithmic transition beyond the known RSB point.
Findings
Cutting-plane methods extend the boundary of complete solutions beyond the RSB transition.
Evidence of a new algorithmic transition at average degree c=2.90.
Whitening measures show slight but measurable effects of the RSB transition.
Abstract
The phase-transition behavior of the NP-hard vertex-cover (VC) combinatorial optimization problem is studied numerically by linear programming (LP) on ensembles of random graphs. As the basic Simplex (SX) algorithm suitable for such LPs may produce incomplete solutions for sufficiently complex graphs, the application of cutting-plane (CP) methods is sought. We consider Gomory and {0,1/2} cuts. We measure the probability of obtaining complete solutions with these approaches as a function of the average node degree c and observe transition between typically complete and incomplete phase regions. While not generally complete solutions are obtained for graphs of arbitrarily high complexity, the CP approaches still advance the boundary in comparison to the pure SX algorithm, beyond the known replica-symmetry breaking (RSB) transition at c=e=2.718... . In fact, our results provide evidence…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
