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Geometry of Semide  (Make Corrections)  
nite Max-Cut Relaxations via Matrix Ranks Miguel F. Anjos Henry Wolkowicz...



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Abstract: Semide nite programming (SDP) relaxations are proving to be a powerful tool for nding tight bounds for hard discrete optimization problems. (Update)

Active bibliography (related documents):   More   All
2.0:   Semidefinite Programming for Discrete Optimization and.. - Wolkowicz, Anjos (2000)   (Correct)
0.7:   Semidefinite and Cone Programming Bibliography/Comments - Wolkowicz (2004)   (Correct)
0.5:   A Tight Semidefinite Relaxation of the Cut Polytope - Anjos, Wolkowicz (2000)   (Correct)

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BibTeX entry:   (Update)

@misc{ relaxations-geometry,
  author = "Nite Max-Cut Relaxations",
  title = "Geometry of Semide",
  url = "citeseer.ist.psu.edu/763700.html" }
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5   Optimality conditions and lmi relaxations for 0-1 programs (context) - LASSERRE - 2000
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1   a positive semide nite relaxation of the cut polytope (context) - LAURENT, POLJAK - 1995
1   Semide nite programming and combinatorial optimization (context) - GOEMANS - 1998

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