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Hitting long directed cycles is fixed-parameter tractable

Authors: Alexander Göke; Dániel Marx; Matthias Mnich;

Hitting long directed cycles is fixed-parameter tractable

Abstract

In the Directed Long Cycle Hitting Set} problem we are given a directed graph $G$, and the task is to find a set $S$ of at most $k$ vertices/arcs such that $G-S$ has no cycle of length longer than $\ell$. We show that the problem can be solved in time $2^{\mathcal O(\ell k^3\log k + k^5\log k\log\ell)}\cdot n^{\mathcal O(1)}$, that is, it is fixed-parameter tractable (FPT) parameterized by $k$ and $\ell$. This algorithm can be seen as a far-reaching generalization of the fixed-parameter tractability of {\sc Mixed Graph Feedback Vertex Set} [Bonsma and Lokshtanov WADS 2011], which is already a common generalization of the fixed-parameter tractability of (undirected) {\sc Feedback Vertex Set} and the {\sc Directed Feedback Vertex Set} problems, two classic results in parameterized algorithms. The algorithm requires significant insights into the structure of graphs without directed cycles length longer than $\ell$ and can be seen as an exact version of the approximation algorithm following from the Erd{ő}s-P{ó}sa property for long cycles in directed graphs proved by Kreutzer and Kawarabayashi [STOC 2015].

50 pages, 5 figures

Country
Germany
Keywords

FOS: Computer and information sciences, Mathematics of computing → Graph algorithms, directed graphs, 004, Theory of computation → Fixed parameter tractability, circumference, Theory of computation → Graph algorithms analysis, Computer Science - Data Structures and Algorithms, Mathematik, Data Structures and Algorithms (cs.DS), Directed graphs, directed feedback vertex set

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selected citations
These citations are derived from selected sources.
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!
0
Average
Average
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