On structural parameterizations of the selective coloring problem
Guilherme C. M. Gomes, Vinicius F. dos Santos

TL;DR
This paper explores the computational complexity of the Selective Coloring problem, analyzing various structural parameters, establishing hardness results, and providing fixed-parameter algorithms, thereby advancing understanding of its parameterized complexity landscape.
Contribution
It offers new intractability proofs for key parameters and introduces fixed-parameter algorithms, along with a kernelization lower bound for the problem.
Findings
Hardness results for pathwidth, co-cluster, and max leaf number parameters.
Fixed-parameter algorithms for distance to cluster and combined parameters.
Polynomial kernelization lower bound for vertex cover number and parts.
Abstract
In the Selective Coloring problem, we are given an integer , a graph , and a partition of into parts, and the goal is to decide whether or not we can pick exactly one vertex of each part and obtain a -colorable induced subgraph of . This generalization of Vertex Coloring has only recently begun to be studied by Demange et al. [Theoretical Computer Science, 2014], motivated by scheduling problems on distributed systems, with Guo et al. [TAMC, 2020] discussing the first results on the parameterized complexity of the problem. In this work, we study multiple structural parameterizations for Selective Coloring. We begin by revisiting the many hardness results of Demange et al. and show how they may be used to provide intractability proofs for widely used parameters such as pathwidth, distance to co-cluster, and max leaf number. Afterwards, we present fixed-parameter…
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Taxonomy
TopicsAdvanced Graph Theory Research · Scheduling and Optimization Algorithms
