s-Club Cluster Vertex Deletion on Interval and Well-Partitioned Chordal Graphs
Dibyayan Chakraborty, L. Sunil Chandran, Sajith Padinhatteeri, Raji., R. Pillai

TL;DR
This paper develops faster algorithms for the s-Club Cluster Vertex Deletion problem on interval graphs and introduces a polynomial-time solution for well-partitioned chordal graphs, while also proving NP-hardness for even s on this class.
Contribution
It provides an improved algorithm for s-CVD on interval graphs and a polynomial-time algorithm for CVD on well-partitioned chordal graphs, along with NP-hardness results for even s.
Findings
Faster O(n(n+m)) algorithm for s-CVD on interval graphs.
Polynomial-time algorithm for CVD on well-partitioned chordal graphs.
NP-hardness of s-CVD for even s on well-partitioned chordal graphs.
Abstract
In this paper, we study the computational complexity of \textsc{-Club Cluster Vertex Deletion}. Given a graph, \textsc{-Club Cluster Vertex Deletion (-CVD)} aims to delete the minimum number of vertices from the graph so that each connected component of the resulting graph has a diameter at most . When , the corresponding problem is popularly known as \sloppy \textsc{Cluster Vertex Deletion (CVD)}. We provide a faster algorithm for \textsc{-CVD} on \emph{interval graphs}. For each , we give an -time algorithm for \textsc{-CVD} on interval graphs with vertices and edges. In the case of , our algorithm is a slight improvement over the -time algorithm of Cao \etal (Theor. Comput. Sci., 2018) and for , it significantly improves the state-of-the-art running time . We also give a…
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Taxonomy
TopicsAdvanced Graph Theory Research · Complexity and Algorithms in Graphs · Distributed systems and fault tolerance
