2018
DOI: 10.1016/j.tcs.2017.11.013
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Fixing improper colorings of graphs

Abstract: In this paper we consider a variation of a recoloring problem, called the Color-Fixing. Let us have some non-proper r-coloring ϕ of a graph G. We investigate the problem of finding a proper r-coloring of G, which is "the most similar" to ϕ, i.e., the number k of vertices that have to be recolored is minimum possible. We observe that the problem is NP-complete for any fixed r ≥ 3, even for bipartite planar graphs. Moreover, it is W [1]-hard even for bipartite graphs, when parameterized by the number k of allowe… Show more

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Cited by 3 publications
(9 citation statements)
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“…By relaxing the requirement on the promise condition, we establish again the following. We also note that using different ideas, the same conclusion was reached in [13].…”
Section: Chromatic Villainy: R-swap-promise Is Hardsupporting
confidence: 66%
See 3 more Smart Citations
“…By relaxing the requirement on the promise condition, we establish again the following. We also note that using different ideas, the same conclusion was reached in [13].…”
Section: Chromatic Villainy: R-swap-promise Is Hardsupporting
confidence: 66%
“…• In Section 4, we prove that under plausible complexity assumptions, r-Fix has no polynomial kernel parameterized by the number of recolorings k, for every r ≥ 3. We stress that while mentioned as an open problem in [20], the question was subsequently answered by Garnero, Junosza-Szaniawski, Liedloff, Montealegre, and Rzążewski in a full version [13] of [20]. Our result was obtained independently of their work, and uses slightly different ideas.…”
Section: Introductionmentioning
confidence: 79%
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“…In one case, the graphs are directed, and the goal is to reach a particular proper coloring by giving a vertex a color different from that of its neighbors [25]. In COLOR-FIXING, starting with an assignment of colors to vertices, the goal is to determine the minimum number of vertex recolorings required in order to find any proper coloring [26].…”
Section: Defining Problemsmentioning
confidence: 99%