(Enter summary)
Abstract: We present a strengthened semidefinite programming, SDP, relaxation
for the Max-Cut, MC, problem. The well known SDP relaxation
can be obtained by Lagrangian relaxation and results in a SDP
with variable X 2 S
n
, the space of n \Theta n symmetric matrices, and
n constraints. The strengthened bound is based on applying a lifting
procedure to this well known semidefinite relaxation while adding
nonlinear constraints. The lifting procedure is again done via Lagrangian
relaxation. This results... (Update)
Cited by: More
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BibTeX entry: (Update)
M. ANJOS and H. WOLKOWICZ. A strengthened sdp relaxation via a second lifting for the max-cut problem. Research report, corr 99-55, University of Waterloo, Waterloo, Ontario, 1999. URL: http://orion.math.uwaterloo.ca/ hwolkowi/henry/reports/strengthMC.ps.gz. http://citeseer.ist.psu.edu/anjos99strengthened.html More
@techreport{ anjos99strengthened,
author = "M. F. Anjos and H. Wolkowicz",
title = "A strengthened {SDP} relaxation via a second lifting for the {MAX-{CUT}} problem",
number = "CORR--95",
address = "Waterloo, Ontario, N2L 3G1 Canada",
year = "1999",
url = "citeseer.ist.psu.edu/anjos99strengthened.html" }
Citations (may not include all citations):
415
Improved approximation algorithms for maximum cut and satisf..
- GOEMANS, WILLIAMSON - 1995
173
An interior point method for semidefinite programming
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173
An interior point method for semidefinite programming and ma..
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Indefinite trust region subproblems and nonsymmetric eigenva..
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Quality of semidefinite relaxation for nonconvex quadratic o.. (context) - NESTEROV - 1997
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Nonconvex optimization problem: the infinitehorizon linear-q.. (context) - YAKUBOVICH - 1992
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Strong duality for a trust-region type relaxation of qap
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