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Fully Leafed Induced Subtrees

机译:完全繁茂的诱发子树

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摘要

We consider the problem LIS of deciding whether there exists an induced subtree with exactly i ≤ n vertices and ?. leaves in a given graph G with n vertices. We study the associated optimization problem, that consists in computing the maximal number of leaves, denoted by L_G(i), realized by an induced subtree with i vertices, for 0 ≤ i ≤ n. We begin by proving that the LIS problem is NP-complete in general. Then, we describe a nontrivial branch and bound algorithm that computes the function L_G for any simple graph G. In the special case where G is a tree of maximum degree A, we provide a O(n~3△) time and O(n~2) space algorithm to compute the function L_G.
机译:我们考虑解决决定是否存在诱导的子树的问题,并恰好是I≤N顶点和?。留在带有n顶点的给定图表g中。我们研究相关的优化问题,该问题包括计算由L_G(I)表示的叶子的最大数量,由诱导的子树用I顶点实现,0≤i≤N。我们首先证明了LIS问题一般是NP-Creating。然后,我们描述了一个非竞争分支和绑定算法,其计算任何简单图G的功能L_G。在G是最大程度A的树的特殊情况下,我们提供O(n〜3△)时间和o(n 〜2)空间算法计算功能L_G。

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