Computing the Largest Bond and the Maximum Connected Cut of a Graph
Gabriel L. Duarte, Hiroshi Eto, Tesshu Hanaka, Yasuaki Kobayashi,, Yusuke Kobayashi, Daniel Lokshtanov, Lehilton L. C. Pedrosa, Rafael C. S., Schouery, and U\'everton S. Souza

TL;DR
This paper investigates the computational complexity of finding the largest bond and maximum connected cut in graphs, establishing NP-hardness, inapproximability, and fixed-parameter tractability results for these problems.
Contribution
It provides the first complexity and approximation results for the largest bond and maximum connected cut problems, including NP-hardness and fixed-parameter tractability analyses.
Findings
Largest bond and maximum connected cut are NP-hard even for planar bipartite graphs.
No constant-factor approximation exists unless P=NP.
Problems are fixed-parameter tractable when parameterized by solution size, treewidth, or twin-cover number.
Abstract
The cut-set of a graph is the set of edges that have one endpoint in and the other endpoint in , and whenever is connected, the cut of is called a connected cut. A bond of a graph is an inclusion-wise minimal disconnecting set of , i.e., bonds are cut-sets that determine cuts of such that and are both connected. Contrasting with a large number of studies related to maximum cuts, there exist very few results regarding the largest bond of general graphs. In this paper, we aim to reduce this gap on the complexity of computing the largest bond, and the maximum connected cut of a graph. Although cuts and bonds are similar, we remark that computing the largest bond and the maximum connected cut of a graph tends to be harder than computing its maximum cut. We…
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