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首页> 外文期刊>Journal of combinatorial optimization >Tree edge decomposition with an application to minimum ultrametric tree approximation
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Tree edge decomposition with an application to minimum ultrametric tree approximation

机译:树边缘分解及其在最小化超树近似中的应用

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摘要

A k-decomposition of a tree is a process in which the tree is recursively partitioned into k edge-disjoint subtrees until each subtree contains only one edge. We investigated the problem how many levels it is sufficient to decompose the edges of a tree. In this paper, we show that any n-edge tree can be 2-decomposed (and 3-decomposed) within at most [1.44 log n] (and [log n] respectively) levels. Extreme trees are given to show that the bounds are asymptotically tight. Based on the result, we designed an improved approximation algorithm for the minimum ultrametric tree.
机译:树的k分解是将树递归地划分为k个边缘不相交的子树,直到每个子树仅包含一个边的过程。我们研究了分解树的边缘足以分解多少个级别的问题。在本文中,我们表明,在最多[1.44 log n](分别为[log n])级别内,任何n边缘树都可以2分解(和3分解)。给出了极限树以表明边界是渐近紧的。基于结果,我们为最小超度量树设计了一种改进的近似算法。

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