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Medians in Median Graphs and Their Cube Complexes in Linear Time

机译:中位数图中的中位数和他们的立方体复合体在线性时间

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The median of a set of vertices P of a graph G is the set of all vertices x of G minimizing the sum of distances from x to all vertices of P. In this paper, we present a linear time algorithm to compute medians in median graphs, improving over the existing quadratic time algorithm. We also present a linear time algorithm to compute medians in the e?"?a,?-cube complexes associated with median graphs. Median graphs constitute the principal class of graphs investigated in metric graph theory and have a rich geometric and combinatorial structure. Our algorithm is based on the majority rule characterization of medians in median graphs and on a fast computation of parallelism classes of edges (?~-classes or hyperplanes) via Lexicographic Breadth First Search (LexBFS). To prove the correctness of our algorithm, we show that any LexBFS ordering of the vertices of G satisfies the following fellow traveler property of independent interest: the parents of any two adjacent vertices of G are also adjacent.
机译:图G的一组顶点P的中值是G的所有顶点X的集合,最小化来自X到P的所有顶点的距离的总和。在本文中,我们提出了一种线性时间算法来计算中位数的中位数,改进现有二次时间算法。我们还提出了一种线性时间算法来计算E的中位数?“?a,? - 与中值图相关的多维数据集复合物。中值图构成了公制图理论中调查的图形的主要类别,具有丰富的几何和组合结构。我们的算法基于中位数图中的中位数的大多数规则特征,以及通过词典广度首次搜索(LEXBFS)的边缘(?〜 - Classes或超平面)的快速计算。为了证明我们的算法的正确性,我们展示任何lexbfs的lexbfs of g g顶点满足了独立兴趣的以下同步旅行者属性:G的任何两个相邻顶点的父母也相邻。

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