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Abstract: In this paper we summarize recent results on finding tight semidefinite programming relaxations for the Max-Cut problem and hence tight upper bounds on its optimal value. Our results hold for every instance of Max-Cut and in particular we make no assumptions on the edge weights. We present two strengthenings of the well-known semidefinite programming relaxation of Max-Cut studied by Goemans and Williamson. Preliminary numerical results comparing the relaxations on several interesting instances... (Update)
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BibTeX entry: (Update)
@misc{ for-unknown,
author = "Strengthenedsemidefiniteprogramming Relaxations For",
title = "unknown",
url = "citeseer.ist.psu.edu/763644.html" }
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5 SDPpack user's guide -- version (context) - ALIZADEH, HAEBERLY et al.
3 A tightsemidefinite relaxation of the cut polytope - ANJOS, WOLKOWICZ - 2000
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