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Parameterized algorithms for conflict-free colorings of graphs

机译:用于图形不冲突彩色的参数化算法

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In this paper, we study the conflict-free coloring of graphs induced by neighborhoods. A coloring of a graph is conflict-free if every vertex has a uniquely colored vertex in its neighborhood. The conflict-free coloring problem is to color the vertices of a graph using the minimum number of colors such that the coloring is conflict-free. We consider both closed neighborhoods, where the neighborhood of a vertex includes itself, and open neighborhoods, where a vertex does not include in its neighborhood. We study the parameterized complexity of conflict-free closed neighborhood coloring and conflict-free open neighborhood coloring problems. We show that both problems are fixed-parameter tractable (FPT) when parameterized by the cluster vertex deletion number of the input graph. This generalizes the result of Gargano and Rescigno [Theoretical Computer Science, 2015] that conflict-free coloring is FPT parameterized by the vertex cover number. Also, we show that both problems admit an additive constant approximation algorithm when parameterized by the distance to threshold graphs.
机译:在本文中,我们研究了邻域诱导的图表的无冲突着色。如果每个顶点在其邻域中具有唯一的彩色顶点,则图形的着色是不冲突。无冲突着色问题是使用最小颜色数为彩色的彩色顶点,使得着色是不冲突的。我们考虑两个封闭的社区,它的顶点邻居包括自身和开放的邻居,其中顶点不包括在其邻居中。我们研究了无冲突封闭邻域着色和无冲突开放邻域着色问题的参数化复杂性。我们表明,当通过输入图的群集顶点删除号码参数化时,这两个问题都是固定参数贸易(FPT)。这概括了Gargano和Rescigno [理论计算机科学,2015]的结果,不激烈的着色是由顶点盖数参数化的FPT。此外,我们表明,两种问题都承认,当通过距离阈值图的距离参数化时,这两个问题都承认添加恒定近似算法。

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