A probabilistic result for the max-cut problem on random graphs

  • Authors:
  • Amir Beck;Marc Teboulle

  • Affiliations:
  • School of Mathematical Sciences, Department of Statistic and Operations Research, Tel-Aviv University, Ramat-Aviv 69978, Tel Aviv, Israel;School of Mathematical Sciences, Department of Statistic and Operations Research, Tel-Aviv University, Ramat-Aviv 69978, Tel Aviv, Israel

  • Venue:
  • Operations Research Letters
  • Year:
  • 2000

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Abstract

We consider the max-cut problem on a random graph G with n vertices and weights w"i"j being independent bounded random variables with the same fixed positive expectation @m and variance @s^2. It is well known that the max-cut number mc(G) always exceeds 12@?"i"~.