
doi: 10.1137/0219071
Summary: The problem of finding a minimum cut of n arcs on a unit circle is considered. It is shown that this problem can be solved in \(\Theta\) (n log n) time, which is optimal to within a constant factor. If the endpoints of the arcs are sorted, the problem can be solved in linear time. The solution to the minimum cut problem can be used to solve a minimum new facility problem in competitive location and a minimum partition set problem for the intersection model of a circle graph. As a by-product it is also shown that the maximum independent set of n arcs can be obtained in linear time, assuming the endpoints are sorted, which is much simpler than the most recent result of \textit{S. Masuda} and \textit{K. Nakajima} [SIAM J. Comput. 17, No.1, 41-52 (1988; Zbl 0646.68084)].
Management decision making, including multiple objectives, computational complexity, Analysis of algorithms and problem complexity, circle graph, circular-arc graphs, algebraic computation trees, maximum independent set, minimum cut, Graph theory (including graph drawing) in computer science, minimum covering, Parallel algorithms in computer science
Management decision making, including multiple objectives, computational complexity, Analysis of algorithms and problem complexity, circle graph, circular-arc graphs, algebraic computation trees, maximum independent set, minimum cut, Graph theory (including graph drawing) in computer science, minimum covering, Parallel algorithms in computer science
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