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Tight bounds and a fast FPT algorithm for directed max-leaf spanning tree

机译:定向最大叶生成树的紧边界和快速FPT算法

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An out-tree T of a directed graph D is a rooted tree subgraph with all arcs directed outwards from the root. An out-branching is a spanning out-tree. By l(D) and l_S(D), we denote the maximum number of leaves over all out-trees and out-branchings of D, respectively. We give fixed parameter tractable algorithms for deciding whether l_s(D) ≥ k and whether l(D) ≥ k for a digraph D on n vertices, both with time complexity 2 ~(O(klog k)) ? n~(O(1)). This answers an open question whether the problem for out-branchings is in FPT, and improves on the previous complexity of 2~(O(klog2 k)) ? n~(O(1)) in the case of out-trees. To obtain the complexity bound in the case of out-branchings, we prove that when all arcs of D are part of at least one out-branching, l _s(D) ≥ l(D)/3. The second bound we prove in this article states that for strongly connected digraphs D with minimum in-degree 3, l _s(D) = (□n), where previously l_s(D) = (3'n) was the best known bound. This bound is tight, and also holds for the larger class of digraphs with minimum in-degree 3 in which every arc is part of at least one out-branching.
机译:有向图D的外树T是有根的树子图,所有圆弧均从根向外指向。分支是跨树的分支。通过l(D)和l_S(D),我们分别表示D的所有外树和外分支上的最大叶数。我们给出固定参数可处理的算法,用于确定n个顶点上的有向图D的l_s(D)≥k和l(D)≥k是否都具有时间复杂度2〜(O(klog k))? n〜(O(1))。这回答了一个开放的问题,即分支问题是否在FPT中,并改善了先前的2〜(O(klog2 k))复杂度?在外树的情况下,n〜(O(1))。为了获得分支情况下的复杂度边界,我们证明当D的所有弧均是至少一个分支的一部分时,l _s(D)≥l(D)/ 3。我们在本文中证明的第二个边界指出,对于最小入度为3的强连通有向图D,l _s(D)=(□n),其中先前的l_s(D)=(3'n)是最著名的边界。该边界是紧密的,并且也适用于最小入度为3的较大的有向图,其中每个弧都是至少一个向外分支的一部分。

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