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Inapproximability of the Max-cut Problem with Negative Weights  

Hong, Sung-Pil (Department of Industrial Engineering, Seoul National University)
Publication Information
Management Science and Financial Engineering / v.14, no.1, 2008 , pp. 87-90 More about this Journal
Abstract
We show that when a max-cut problem is allowed native-weight edges, to decide if the problem has a cut of a positive weight is NP-hard. This implies that there is no polynomial time algorithm which guarantees a cut whose objective value is no less than $1/p(<I>)$ times the optimum for any polynomially computable polynomial p, where denotes the encoding length of an instance I.
Keywords
Maximum Cut; Negative Weights; NP-hard; Sparsest Cut;
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