
TL;DR
This paper introduces the min-max connected multiway cut problem, a variant of multiway cut with connectivity and max-boundary objectives, explores its computational hardness, and provides algorithms for special cases.
Contribution
It defines and studies the min-max connected multiway cut problem, establishing hardness results and offering algorithms for graphs with bounded treewidth.
Findings
Proves weak NP-hardness on graphs with treewidth two.
Shows W[1]-hardness when parameterized by treewidth.
Provides a pseudopolynomial algorithm and an FPTAS for bounded treewidth graphs.
Abstract
We introduce a variant of the multiway cut that we call the min-max connected multiway cut. Given a graph and a set of terminals, partition into parts such that each part is connected and contains exactly one terminal; the objective is to minimize the maximum weight of the edges leaving any part of the partition. This problem is a natural modification of the standard multiway cut problem and it differs from it in two ways: first, the cost of a partition is defined to be the maximum size of the boundary of any part, as opposed to the sum of all boundaries, and second, the subgraph induced by each part is required to be connected. Although the modified objective function has been considered before in the literature under the name min-max multiway cut, the requirement on each component to be connected has not been studied as far as we know. Our…
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