Computational experience with a SDP-based algorithm for maximum cut with limited unbalance

In the Maximum Cut with Limited Unbalance problem, we want to partition the vertices of a weighted graph into two sets of sizes differing at most by a given threshold B, so that the sum of the weights of the crossing edges is maximum. This problem has been introduced in (Galbiati and Maffioli, Theor...

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Veröffentlicht in:	Networks Jg. 55; H. 3; S. 247 - 255
Hauptverfasser:	Galbiati, Giulia, Gualandi, Stefano, Maffioli, Francesco
Format:	Journal Article Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.05.2010 Wiley
Schlagworte:	Algorithmics. Computability. Computer arithmetics Applied sciences Computer science; control theory; systems Exact sciences and technology Flows in networks. Combinatorial problems Mathematical programming network design Operational research and scientific management Operational research. Management science randomized approximation algorithm semidefinite programming Theoretical computing unbalanced maximum cut randomized approximation algorithm Partition Polynomial approximation Unbalanced conditions Semi definite programming Polynomial method Distributed system Approximation algorithm Randomized algorithm Weighted graph Polynomial time semidefinite programming unbalanced maximum cut Randomized design network design Algorithm analysis
ISSN:	0028-3045, 1097-0037
Online-Zugang:	Volltext
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