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Approximation Algorithms for Finding a Minimum Perimeter Polygon Intersecting a Set of Line Segments

机译:寻找与一组线段相交的最小周界多边形的近似算法

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Let S denote a set of line segments in the plane. We say that a polygon P intersects S if every segment in S has a non-empty intersection with the interior or boundary of P. Currently, the best known algorithm finding a minimum perimeter polygon intersecting a set of line segments has a worst case exponential running time. It is also still unknown whether this problem is NP-hard. In this note we explore several approximation algorithms. We present efficient approximation algorithms that yield good empirical results, but can perform very poorly on pathological examples. We also present an O(n log n) algorithm with a guaranteed worst case performance bound that is at most π/2 times that of the optimum.
机译:令S表示平面中的一组线段。我们说如果S中的每个线段都与P的内部或边界非空相交,则多边形P与S相交。当前,最著名的算法是找到与一组线段相交的最小周界多边形,这是最坏的情况。时间。这个问题是否是NP难题还是未知的。在本说明中,我们探索了几种近似算法。我们提出了有效的近似算法,可产生良好的经验结果,但在病理示例上的表现可能非常差。我们还提出了一种O(n log n)算法,该算法具有保证的最坏情况下的性能范围,该范围最大为最佳性能的π/ 2倍。

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