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Parameterized Pre-Coloring Extension and List Coloring Problems

Parameterized pre-coloring extension and list coloring problems
Authors: Gregory Z. Gutin; Diptapriyo Majumdar; Sebastian Ordyniak; Magnus Wahlström;

Parameterized Pre-Coloring Extension and List Coloring Problems

Abstract

Golovach, Paulusma and Song (Inf. Comput. 2014) asked to determine the parameterized complexity of the following problems parameterized by $k$: (1) Given a graph $G$, a clique modulator $D$ (a clique modulator is a set of vertices, whose removal results in a clique) of size $k$ for $G$, and a list $L(v)$ of colors for every $v\in V(G)$, decide whether $G$ has a proper list coloring; (2) Given a graph $G$, a clique modulator $D$ of size $k$ for $G$, and a pre-coloring $��_P: X \rightarrow Q$ for $X \subseteq V(G),$ decide whether $��_P$ can be extended to a proper coloring of $G$ using only colors from $Q.$ For Problem 1 we design an $O^*(2^k)$-time randomized algorithm and for Problem 2 we obtain a kernel with at most $3k$ vertices. Banik et al. (IWOCA 2019) proved the the following problem is fixed-parameter tractable and asked whether it admits a polynomial kernel: Given a graph $G$, an integer $k$, and a list $L(v)$ of exactly $n-k$ colors for every $v \in V(G),$ decide whether there is a proper list coloring for $G.$ We obtain a kernel with $O(k^2)$ vertices and colors and a compression to a variation of the problem with $O(k)$ vertices and $O(k^2)$ colors.

Countries
Germany, United Kingdom
Keywords

list coloring, FOS: Computer and information sciences, Discrete Mathematics (cs.DM), Parameterized complexity, tractability and kernelization, List Coloring, Computational Complexity (cs.CC), Coloring of graphs and hypergraphs, Graph algorithms (graph-theoretic aspects), Computer Science - Data Structures and Algorithms, graph coloring, Data Structures and Algorithms (cs.DS), Nonnumerical algorithms, parameterized complexity, Parameterized Algorithms, Randomized algorithms, W-hardness, 004, Computer Science - Computational Complexity, Graph Coloring, Graph theory (including graph drawing) in computer science, kernelization, Kernelization, Computer Science - Discrete Mathematics, ddc: ddc:004

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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!
6
Top 10%
Average
Top 10%
Green
hybrid