The Complexity of Multiterminal Cuts
SIAM Journal on Computing
A general method to speed up fixed-parameter-tractable algorithms
Information Processing Letters
LATIN '00 Proceedings of the 4th Latin American Symposium on Theoretical Informatics
Rounding Algorithms for a Geometric Embedding of Minimum Multiway Cut
Mathematics of Operations Research
Vertex cover might be hard to approximate to within 2-ε
Journal of Computer and System Sciences
Sdp gaps and ugc hardness for multiway cut, 0-extension, and metric labeling
STOC '08 Proceedings of the fortieth annual ACM symposium on Theory of computing
Approximating Generalized Multicut on Trees
CiE '07 Proceedings of the 3rd conference on Computability in Europe: Computation and Logic in the Real World
Simple and Improved Parameterized Algorithms for Multiterminal Cuts
Theory of Computing Systems - Special Issue: Symposium on Computer Science; Guest Editors: Sergei Artemov, Volker Diekert and Alexander Razborov
Detecting high log-densities: an O(n¼) approximation for densest k-subgraph
Proceedings of the forty-second ACM symposium on Theory of computing
Proceedings of the forty-third annual ACM symposium on Theory of computing
An approximation algorithm for the Generalized k-Multicut problem
Discrete Applied Mathematics
Multicut in trees viewed through the eyes of vertex cover
Journal of Computer and System Sciences
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Given a tree $$T = (V, E)$$ with $$n$$ vertices and a collection of terminal sets $$D = \{S_1, S_2, \ldots , S_c\}$$, where each $$S_i$$ is a subset of $$V$$ and $$c$$ is a constant, the generalized multiway cut in trees problem (GMWC(T)) asks to find a minimum size edge subset $$E^{\prime } \subseteq E$$ such that its removal from the tree separates all terminals in $$S_i$$ from each other for each terminal set $$S_i$$. The GMWC(T) problem is a natural generalization of the classical multiway cut in trees problem, and has an implicit relation to the Densest $$k$$-Subgraph problem. In this paper, we show that the GMWC(T) problem is fixed-parameter tractable by giving an $$O(n^2 + 2^k)$$ time algorithm, where $$k$$ is the size of an optimal solution, and the GMWC(T) problem is polynomial time solvable when the problem is restricted in paths.We also discuss some heuristics for the GMWC(T) problem