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MAXIMUM CLIQUE and MINIMUM CLIQUE PARTITION in Visibility Graphs

机译:可见性图中的最大Clique和最小Clique分区

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In an alternative approach to "characterizing" the graph class of visibility graphs of simple polygons, we study the problem of finding a maximum clique in the visibility graph of a simple polygon with n vertices. We show that this problem is very hard, if the input polygons are allowed to contain holes: a gap-preserving reduction from the maximum clique problem on general graphs implies that no polynomial time algorithm can achieve an approximation ratio of n sup(1/8-∈) for any, unless NP=P. To demonstrate that allowing holes in the input polygons makes a major difference, we propose an O(n sup(3)) algorithm for the maximum clique problem on visibility graphs for polygons without holes (other O(n sup(3)) algorithms for this problem are already known [3,6,7]). Our algorithm also finds the maximum weight clique, if the polygon vertices are weighted.
机译:在“表征”简单多边形的可见性图表的图形类别的替代方法中,我们研究了N个顶点的简单多边形的可见性图中找到最大Clique的问题。我们表明,如果允许输入多边形包含孔:从一般图中的最大Clique问题的间隙保持差距,则允许多项式时间算法可以达到n sup的近似比(1/8 - 除非np = p。为了证明允许输入多边形中的孔产生重大差异,我们提出了用于在没有孔的多边形的可见性图表上的最大Clique问题的O(nup(3))算法(其他O(n sup(3))算法这个问题已经知道[3,6,7])。如果多边形顶点加权,我们的算法也找到了最大重量的Clique。

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