Laplacian eigenvalues and the maximum cut problem
Mathematical Programming: Series A and B
Semidefinite programming in combinatorial optimization
Mathematical Programming: Series A and B - Special issue: papers from ismp97, the 16th international symposium on mathematical programming, Lausanne EPFL
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
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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"~.