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

机译:用于查找交叉一组线段的最小周边多边形的近似算法

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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(nlogn) algorithm with a guaranteed worst case performance bound that is at most π/2 times that of the optimum.
机译:让S表示平面中的一组线段。我们说,如果S中的每个段具有与P的内部或边界的每个段具有非空交叉点,则多边形P与P的内部或边界相交。发现与一组线段相交的最低周边多边形的最佳算法具有最糟糕的指数运行时间。它还仍然是未知这个问题是否硬。在本说明中,我们探索了几种近似算法。我们提出了高效的近似算法,从而产生了良好的经验结果,但可以在病理例子中表现得非常差。我们还提出了一种o(nlogn)算法,其具有保证最坏情况序列的绑定,最佳的最佳π/ 2倍。

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