The complexity of multiway cuts (extended abstract)
STOC '92 Proceedings of the twenty-fourth annual ACM symposium on Theory of computing
The Complexity of Multiterminal Cuts
SIAM Journal on Computing
An improved approximation algorithm for multiway cut
STOC '98 Proceedings of the thirtieth annual ACM symposium on Theory of computing
The planar multiterminal cut problem
Discrete Applied Mathematics
Rounding algorithms for a geometric embedding of minimum multiway cut
STOC '99 Proceedings of the thirty-first annual ACM symposium on Theory of computing
A simple algorithm for the planar multiway cut problem
Journal of Algorithms
Which problems have strongly exponential complexity?
Journal of Computer and System Sciences
Optimal 3-Terminal Cuts and Linear Programming
Proceedings of the 7th International IPCO Conference on Integer Programming and Combinatorial Optimization
Revisiting a simple algorithm for the planar multiterminal cut problem
Operations Research Letters
FPT suspects and tough customers: open problems of downey and fellows
The Multivariate Algorithmic Revolution and Beyond
A polynomial-time algorithm for planar multicuts with few source-sink pairs
IPEC'12 Proceedings of the 7th international conference on Parameterized and Exact Computation
An o *(1.84 k) parameterized algorithm for the multiterminal cut problem
FCT'13 Proceedings of the 19th international conference on Fundamentals of Computation Theory
An O*(1.84k) parameterized algorithm for the multiterminal cut problem
Information Processing Letters
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The problem Planark-Terminal Cut is as follows: given an undirected planar graph with edge-costs and with k vertices designated as terminals, find a minimum-cost set of edges whose removal pairwise separates the terminals. It was known that the complexity of this problem is O(n2k−4logn). We show that there is a constant c such that the complexity is $O(n^{c\sqrt{k}})$. This matches a recent lower bound of Marx showing that the $c\sqrt{k}$ term in the exponent is best possible up to the constant c (assuming the Exponential Time Hypothesis).