Breaking the n^k Barrier for Minimum k-cut on Simple Graphs

11/05/2021
by   Zhiyang He, et al.
0

In the minimum k-cut problem, we want to find the minimum number of edges whose deletion breaks the input graph into at least k connected components. The classic algorithm of Karger and Stein runs in Õ(n^2k-2) time, and recent, exciting developments have improved the running time to O(n^k). For general, weighted graphs, this is tight assuming popular hardness conjectures. In this work, we show that perhaps surprisingly, O(n^k) is not the right answer for simple, unweighted graphs. We design an algorithm that runs in time O(n^(1-ϵ)k) where ϵ>0 is an absolute constant, breaking the natural n^k barrier. This establishes a separation of the two problems in the unweighted and weighted cases.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset

Sign in with Google

×

Use your Google Account to sign in to DeepAI

×

Consider DeepAI Pro