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Spotting Trees with Few Leaves

机译:用很少的树叶发现树木

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We show two results related to the Hamiltonicity and k-PATH algorithms in undirected graphs by Bjoerklund [FOCS'10], and Bjorklund et al., [arXiv'10]. First, we demonstrate that the technique used can be generalized to finding some k-vertex tree with l leaves in an n-vertex undirected graph in O~*(1.657~k2~(l/2)) time. It can be applied as a subroutine to solve the k-Internal Spanning Tree (k-IST) problem in O~*(min(3.455~k, 1.946~n)) time using polynomial space, improving upon previous algorithms for this problem. In particular, for the first time, we break the natural barrier of O~*(2~n). Second, we show that the iterated random bipartition employed by the algorithm can be improved whenever the host graph admits a vertex coloring with few colors; it can be an ordinary proper vertex coloring, a fractional vertex coloring, or a vector coloring. In effect, we show improved bounds for k-PATH and Hamiltonicity in any graph of maximum degree Δ = 4,.... 12 or with vector chromatic number at most 8.
机译:我们在Bjoerklund [FOCS'10]和Bjorklund等人,[arXiv'10]的无向图中显示了两个与汉密尔顿性和k-PATH算法相关的结果。首先,我们证明所使用的技术可以推广到在O〜*(1.657〜k2〜(l / 2))的时间内在n顶点无向图中找到带有l个叶子的k顶点树。它可以用作子程序,使用多项式空间在O〜*(min(3.455〜k,1.946〜n))时间内解决k-内部生成树(k-IST)问题,改进了以前针对该问题的算法。特别是,我们首次打破了O〜*(2〜n)的自然障碍。其次,我们表明,只要宿主图允许使用很少颜色的顶点着色,该算法所采用的迭代随机二分法就可以得到改善。它可以是普通的适当顶点着色,分数顶点着色或矢量着色。实际上,我们在最大度数Δ= 4,.... 12或矢量色数最多8的任何图中显示了k-PATH和汉密尔顿性的改进边界。

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