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Hardness and Approximation for the Geodetic Set Problem in Some Graph Classes

机译:一些图类的大地测量集问题的硬度和逼近度

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In this paper, we study the computational complexity of finding the geodetic number of graphs. A set of vertices S of a graph G is a geodetic set if any vertex of G lies in some shortest path between some pair of vertices from S. The MINIMUM GEODETIC SET (MGS) problem is to find a geodetic set with minimum cardinality. In this paper, we prove that solving MGS is NP-hard on planar graphs with a maximum degree six and line graphs. We also show that unless P = NP, there is no polynomial time algorithm to solve MGS with sublogarithmic approximation factor (in terms of the number of vertices) even on graphs with diameter 2. On the positive side, we give an O ( ~3n~(2/1) log n)-approximation algorithm for MGS on general graphs of order n. We also give a 3-approximation algorithm for MGS on solid grid graphs which are planar.
机译:在本文中,我们研究了找到图的大地测量数的计算复杂性。如果G的任何顶点位于S的一对顶点之间的最短路径中,则图G的一组顶点S是一个大地测量集。最小大地测量集(MGS)问题是找到具有最小基数的大地测量集。在本文中,我们证明了在最大度数为6的平面图和线图上求解MGS是NP-难的。我们还表明,除非P = NP,否则即使在直径为2的图形上,也没有多项式时间算法可解决具有对数近似因子(以顶点数为单位)的MGS。在正数侧,我们给出O(〜3n在n阶一般图中的MGS的〜(2/1)log n)-近似算法。我们还为平面的实体网格图上的MGS提供了3种逼近算法。

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