We investigate a class of graph partitioning problems whose two extreme representatives are the well-known Min Cut and Graph Bisection problems. The former is known to be efficiently solvable by flow techniques, the latter to be NP-complete. The results presented in this paper are - a monotony result of the type “The more balanced the partition we look for has to be, the harder the problem”. - a complexity result, clarifying the status of a large part of intermediate problems in the class. Thus we show the existence and partly localize an “efficiency border” between the two extremes.
CITATION STYLE
Wagner, D., & Wagner, F. (1993). Between min cut and graph bisection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 711 LNCS, pp. 744–750). Springer Verlag. https://doi.org/10.1007/3-540-57182-5_65
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