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Notes on complexity of packing coloring

Authors: Minki Kim; Bernard Lidický; Tomás Masarík; Florian Pfender;

Notes on complexity of packing coloring

Abstract

A packing $k$-coloring for some integer $k$ of a graph $G=(V,E)$ is a mapping $��:V\to\{1,\ldots,k\}$ such that any two vertices $u, v$ of color $��(u)=��(v)$ are in distance at least $��(u)+1$. This concept is motivated by frequency assignment problems. The \emph{packing chromatic number} of $G$ is the smallest $k$ such that there exists a packing $k$-coloring of $G$. Fiala and Golovach showed that determining the packing chromatic number for chordal graphs is \NP-complete for diameter exactly 5. While the problem is easy to solve for diameter 2, we show \NP-completeness for any diameter at least 3. Our reduction also shows that the packing chromatic number is hard to approximate within $n^{{1/2}-\varepsilon}$ for any $\varepsilon > 0$. In addition, we design an \FPT algorithm for interval graphs of bounded diameter. This leads us to exploring the problem of finding a partial coloring that maximizes the number of colored vertices.

9 pages, 2 figures

Country
United States
Keywords

graph algorithms, FOS: Computer and information sciences, Discrete Mathematics (cs.DM), Graph representations (geometric and intersection representations, etc.), Parameterized complexity, tractability and kernelization, Computational Complexity (cs.CC), Coloring of graphs and hypergraphs, Edge subsets with special properties (factorization, matching, partitioning, covering and packing, etc.), Graph algorithms (graph-theoretic aspects), FOS: Mathematics, Mathematics - Combinatorics, parameterized complexity, packing coloring, chordal graphs, 004, Computer Science - Computational Complexity, Graph theory (including graph drawing) in computer science, Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.), interval graphs, Combinatorics (math.CO), Mathematics, Computer Science - Discrete Mathematics

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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!
3
Average
Average
Average
Green
bronze