Abstract
In the classic Minimum Bisection problem we are given as input a graph and an integer . The task is to determine whether there is a partition of into two parts and such that and there are at most edges with one endpoint in and the other in . In this paper we give an algorithm for Minimum Bisection with running time . This is the first fixed parameter tractable algorithm for Minimum Bisection. At the core of our algorithm lies a new decomposition theorem that states that every graph can be decomposed by small separators into parts where each part is "highly connected" in the following sense: any cut of bounded size can separate only a limited number of vertices from each part of the decomposition. Our techniques generalize to the weighted setting, where we seek for a bisection of minimum weight among solutions that contain at most edges.
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