arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1401.2669math.CO
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树的在线顶点排序

On-line vertex ranking of trees

University of Illinois(伊利诺伊大学)

Daniel C. McDonald

AI总结:

该研究针对图的在线顶点排序问题,给出了树的在线排序数关于其最大度、直径及内部顶点数的界,为VLSI设计等相关应用场景提供了理论支撑。

摘要:

图$G$的$k$-排序是指用集合$\{1,\ldots,k\}$对其顶点进行标记,使得任意两个端点标记相同的非平凡路径都包含一个更大的标记。图$G$存在$k$-排序的最小$k$值称为$G$的排序数,也称为树深度。排序的应用场景包括VLSI设计、并行计算和工厂调度。在线排序问题要求设计一种算法,在$G$的顶点逐个被呈现时对其进行排序,每次呈现时会同时给出所有已排序顶点及它们之间的边(因此每个被呈现的顶点都是$G$的一个部分标记诱导子图中唯一的未排序顶点,且该顶点在$G$中的最终位置是未知的)。$G$的在线排序数是指在所有此类算法中,算法可能被迫使用的最大标记的最小值。我们给出了树的在线排序数关于最大度、直径和内部顶点数的界。

英文摘要:

A $k$-ranking of a graph $G$ is a labeling of its vertices from $\{1,\ldots,k\}$ such that any nontrivial path whose endpoints have the same label contains a larger label. The least $k$ for which $G$ has a $k$-ranking is the ranking number of $G$, also known as tree-depth. Applications of rankings include VLSI design, parallel computing, and factory scheduling. The on-line ranking problem asks for an algorithm to rank the vertices of $G$ as they are presented one at a time along with all previously ranked vertices and the edges between them (so each vertex is presented as the lone unranked vertex in a partially labeled induced subgraph of $G$ whose final placement in $G$ is not specified). The on-line ranking number of $G$ is the minimum over all such algorithms of the largest label that algorithm can be forced to use. We give bounds on the on-line ranking number of trees in terms of maximum degree, diameter, and number of interior vertices.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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