| Alternate document: Details Semidefinite Programming Relaxations For Set Partitioning Problems (96) Henry Wolkowicz, Qing Zhao |
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Abstract: A semidefinite programming, SDP, relaxation for the graph partitioning problem, GP,
is derived using the dual of the (homogenized) Lagrangian dual of appropriate equivalent
representations of GP. The special structure of the relaxation is exploited in order to project
the SDP onto the minimal face, of the cone of positive semidefinite matrices, which contains
the feasible set. This guarantees that the Slater constraint qualification holds; which allows
for a primal-dual interior-point solution... (Update)
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BibTeX entry: (Update)
H. Wolkowicz and Q. Zhao. Semidefinite programming relaxations for the graph partitioning problem. Technical report, Combinatorics and Optimization, University of Waterloo, Waterloo, Ontario, N2L 3G1 Canada, October 1996. http://citeseer.ist.psu.edu/wolkowicz96semidefinite.html More
@techreport{ wolkowicz96semidefinite,
author = "Henry Wolkowicz and Qing Zhao",
title = "Semidefinite programming relaxations for the graph partitioning problem",
address = "Waterloo, ON, Canada",
pages = "17",
year = "1996",
url = "citeseer.ist.psu.edu/wolkowicz96semidefinite.html" }
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