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Distributed Coloring Depending on the Chromatic Number or the Neighborhood Growth

机译:分布着色取决于色数或邻域的增长

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We deterministically compute a Δ + 1 coloring in time O(Δ_(5c+2)·(Δ_5)~(2/c)/(Δ_1)~∈ + (Δ_1)~∈ + log~* n) and O(Δ_(5c+2)·(Δ_5)~(1/c)/Δ~∈ + Δ~∈ + (Δ_5)~d log Δ_5 log n) for arbitrary constants d, ∈ and arbitrary constant integer c, where Δ_i is defined as the maximal number of nodes within distance i for a node and Δ := Δ_1. Our greedy algorithm improves the state-of-the-art Δ + 1 coloring algorithms for a large class of graphs, e.g. graphs of moderate neighborhood growth. We also state and analyze a randomized coloring algorithm in terms of the chromatic number, the run time and the used colors. If Δ ∈ Ω(log~(1+1/log~* n) n) and χ ∈ O(Δ/log~(1+1/log~* n) n) then our algorithm executes in time O(log χ + log~* n) with high probability. For graphs of polylogarithmic chromatic number the analysis reveals an exponential gap compared to the fastest Δ + 1 coloring algorithm running in time O(log Δ + {the square root of}(log n)). The algorithm works without knowledge of χ and uses less than Δ colors, i.e., (1 - 1/O(χ))Δ with high probability. To the best of our knowledge this is the first distributed algorithm for (such) general graphs taking the chromatic number χ into account.
机译:我们在时间o(Δ_(5c + 2)·(Δ_5)〜(2 / c)/(Δ_1)〜∈+(Δ_1)〜+ log〜* n)和o(Δ_ (5C + 2)·(Δ_5)〜(1 / c)/Δ〜∈+Δ〜∈+(Δ_5)+Δ_5log n)用于任意常量d,ψ和任意常数整数c,其中定义Δ_i作为节点的距离I内的节点的最大数量和Δ:=Δ_1。我们的贪婪算法改善了一大类图形的最先进的Δ+ 1着色算法,例如,适度的邻里成长的图表。我们还在彩色数量,运行时和使用的颜色方面进行状态和分析随机着色算法。如果Δ∈Ω(log〜(1 + 1 / log〜* n)n)和χ∈o(Δ/ log〜(1 + 1 / log〜* n)n)则我们的算法在时间o(logχ)执行+ log〜* n)具有高概率。对于PolyGarithic编号的图表,分析显示与在时间O中运行的最快Δ+ 1着色算法相比的指数间隙(日志Δ+ {}(log n))。该算法在没有知识的情况下工作,并且使用小于Δ的颜色,即(1 - 1 / O(χ))δ具有高概率。据我们所知,这是第一个(如)考虑到彩色数字的一般图的分布式算法。

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