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MAX k-CUT and Approximating the Chromatic Number of Random Graphs

Amin Coja-OghlanContact Information, Cristopher MooreContact Information and Vishal SanwalaniContact Information

(5)  Institut für Informatik, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany
(6)  University of New Mexico, Albuquerque, NM, 87131
Abstract
We consider the MAX k-CUT problem in random graphs G n,p. First, we estimate the probable weight of a MAX k-CUT using probabilistic counting arguments and by analyzing a simple greedy heuristic. Then, we give an algorithm that approximates MAX k-CUT within expected polynomial time. The approximation ratio tends to 1 as np→ ∞. As an application, we obtain an algorithm for approximating the chromatic number of G n,p, 1/np ≤ 1/2, within a factor of $$
O\left( {\sqrt {np} } \right)
$$ in polynomial expected time, thereby answering a question of Krivelevich and Vu, and extending a result of Coja-Oghlan and Taraz. We give similar algorithms for random regular graphs G n,r.
Research supported by the Deutsche Forschungsgemeinschaft (DFG FOR 413/1-1)
Supported by NSF PHY-0071139 and Los Alamos National Laboratory.

Contact Information Amin Coja-Oghlan
Email: coja@informatik.hu-berlin.de

Contact Information Cristopher Moore
Email: moore@cs.unm.edu

Contact Information Vishal Sanwalani
Email: vishal@cs.unm.edu
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Referenced by
2 newer articles

  1. Subramanian, Anand Prabhu (2008) . IEEE Transactions on Mobile Computing 7(12)
    [CrossRef]
  2. Coppersmith, Don (2004) Random MAX SAT, random MAX CUT, and their phase transitions. Random Structures and Algorithms 24(4)
    [CrossRef]
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