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Diameter determination on restricted graph families

机译:受限图族的直径确定

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Determining the diameter of a graph is a fundamental graph operation, yet no efficient (i.e. linear or quadratic time) algorithm is known. In this paper, we examine the diameter problem on chordal graphs and AT-free graphs and show that a very simple (linear time) 2-sweep LexBFS algorithm identifies a vertex of maximum eccentricity unless the given graph has a specified induced subgraph (it was previously known that a single LexBFS algorithm is guaranteed to end at a vertex that is within 1 of the diameter of chordal graphs and AT-free graphs). As a consequence of the forbidden induced subgraph result on chordal graphs, our algorithm is guaranteed to work optimally for directed path graphs (it was previously known that a single LexBFS algorithm is guaranteed to work optimally for interval graphs).
机译:确定图的直径是基本的图操作,但是还没有有效的算法(即线性或二次时间)。在本文中,我们研究了弦图和无AT图的直径问题,并表明,除非给定图具有指定的诱导子图(除非是给定图),否则非常简单的(线性时间)2扫LexBFS算法可以识别最大偏心度的顶点。以前知道,可以保证单个LexBFS算法的结束点在弦图和无AT图的直径的1个以内。由于在弦图上禁止引入子图结果,因此我们的算法可确保对有向路径图最佳工作(以前已知单个LexBFS算法对于区间图可保证最佳工作)。

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