Finding good approximate vertex and edge partitions is NP-hard
Information Processing Letters
Randomized algorithms
A new approach to the minimum cut problem
Journal of the ACM (JACM)
Approximating the minimum bisection size (extended abstract)
STOC '00 Proceedings of the thirty-second annual ACM symposium on Theory of computing
A polylogarithmic approximation of the minimum bisection
FOCS '00 Proceedings of the 41st Annual Symposium on Foundations of Computer Science
Approximating minimum cut with bounded size
INOC'11 Proceedings of the 5th international conference on Network optimization
ESA'05 Proceedings of the 13th annual European conference on Algorithms
FPTASs for trimming weighted trees
Theoretical Computer Science
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We consider the problem of finding in an undirected graph a minimum cut that separates exactly a given number k of vertices. For general k (i.e. k is part of the input and may depend on n) this problem is NP-hard.We present for this problem a randomized approximation algorithm, which is useful when k is relatively small. In particular, for k = O(log n) we obtain a polynomial time approximation scheme, and for k = Ω(log n) we obtain an approximation ratio O(k/log n).