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The Parameterized Complexity of Graph Cyclability

Authors: Marcin Kamiński; Dimitrios M. Thilikos; Dimitrios M. Thilikos; Petr A. Golovach; Spyridon Maniatis;

The Parameterized Complexity of Graph Cyclability

Abstract

The cyclability of a graph is the maximum integer $k$ for which every $k$ vertices lie on a cycle. The algorithmic version of the problem, given a graph $G$ and a non-negative integer $k,$ decide whether the cyclability of $G$ is at least $k,$ is {\sf NP}-hard. We study the parametrized complexity of this problem. We prove that this problem, parameterized by $k,$ is ${\sf co\mbox{-}W[1]}$-hard and that its does not admit a polynomial kernel on planar graphs, unless ${\sf NP}\subseteq{\sf co}\mbox{-}{\sf NP}/{\sf poly}$. On the positive side, we give an {\sf FPT} algorithm for planar graphs that runs in time $2^{2^{O(k^2\log k)}}\cdot n^2$. Our algorithm is based on a series of graph-theoretical results on cyclic linkages in planar graphs.

Keywords

FOS: Computer and information sciences, Discrete Mathematics (cs.DM), cyclability, [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], G.2.2, Computational Complexity (cs.CC), [INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM], Computer Science - Computational Complexity, linkages, Computer Science - Data Structures and Algorithms, treewidth, FOS: Mathematics, Mathematics - Combinatorics, Data Structures and Algorithms (cs.DS), Combinatorics (math.CO), 05C10, 05C83, parameterized complexity, Computer Science - Discrete Mathematics

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Average
Green
bronze
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