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Connected max cut is polynomial for graphs without $K_5\backslash e$ as a minor
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abstract
Given a graph $G=(V, E)$, a connected cut $\delta (U)$ is the set of edges of E linking all vertices of U to all vertices of $V\backslash U$ such that the induced subgraphs $G[U]$ and $G[V\backslash U]$ are connected. Given a positive weight function $w$ defined on $E$, the connected maximum cut problem (CMAX CUT) is to find a connected cut $\Omega$ such that $w(\Omega)$ is maximum among all connected cuts. CMAX CUT is NP-hard even for planar graphs. In this paper, we prove that CMAX CUT is polynomial for graphs without $K_5\backslash e$ as a minor. We deduce a quadratic time algorithm for the minimum cut problem in the same class of graphs without computing the maximum flow.
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Parameterized Algorithms for Maximum Cut with Connectivity Constraints
Both connectivity-constrained cut problems are NP-complete on planar bipartite and split graphs, yet they are fixed-parameter tractable in treewidth, twin-cover number, and solution size.
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