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A Polynomial Algorithm for the k-Cut Problem for Fixed k

, and . Mathematics of Operations Research, 19 (1): pp. 24-37 (1994)

Abstract

The k-cut problem is to find a partition of an edge weighted graph into k nonempty components, such that the total edge weight between components is minimum. This problem is NP-complete for an arbitrary k and its version involving fixing a vertex in each component is NP-hard even for k = 3. We present a polynomial algorithm for k fixed, that runs in <tex-math>$O(n^k^2/2-3k/2+4T(n,m))$</tex-math> steps, where T(n, m) is the running time required to find the minimum (s, t)-cut on a graph with n vertices and m edges.

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