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Rank-Two Relaxation Heuristics for Max-Cut and Other Binary Quadratic Programs

by: S Burer, RDC Monteiro, Y Zhang
(2000)


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yaroslavvb has 0 private notes and 2 public notes for this article.

intro to SDP relaxation for max-cut, rank-2 relaxation non-convex but efficient, references to Ising literature

yaroslavvb (public note) - 2007-09-11 22:50:36

application of max-cut to Ising ground-state problem

yaroslavvb (public note) - 2007-09-07 23:21:47

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X Abstract

The Goemans-Williamson randomized algorithm guarantees a high-quality approximation to the Max-Cut problem, but the cost associated with such an approximation can be excessively high for large-scale problems due to the need for solving an expensive semidefinite relaxation. In order to achieve better practical performance, we propose an alternative, rank-two relaxation and develop a specialized version of the Goemans-Williamson technique. The proposed approach leads to continuous optimization...


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