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Simple Cuts Are Fast and Good: Optimum Right-Angled Cuts in Solid Grids

机译:简单的切割既快速又好:实体网格中的最佳直角切割

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We consider the problem of bisecting a graph, i.e. cutting it into two equally sized parts while minimising the number of cut edges. In its most general form the problem is known to be NP-hard. Several papers study the complexity of the problem when restricting the set of considered graphs. We attempt to study the effects of restricting the allowed cuts. We present an algorithm that bisects a solid grid, i.e. a connected subgraph of the infinite two-dimensional grid without holes, using only cuts that correspond to a straight line or a right angled corner. It was shown in [13] that an optimal bisection for solid grids with n vertices can be computed in O(n~5) time. Restricting the cuts in the proposed way we are able to improve the running time to O(n~4). We prove that these restricted cuts still yield good solutions to the original problem: The best restricted cut is a bicriteria approximation to an optimal bisection w.r.t. both the differences in the sizes of the partitions and the number of edges that are cut.
机译:我们考虑将图形平分的问题,即将图形切成两个相等大小的部分,同时最大程度地减少切边的数量。以最一般的形式,这个问题被认为是NP难题。有几篇论文研究了在限制考虑的图集时问题的复杂性。我们试图研究限制允许的削减的影响。我们提出了一种将实心网格一分为二的算法,即仅使用对应于直线或直角拐角的切口的无孔二维网格的连通子图。在[13]中表明,可以在O(n〜5)的时间内计算出具有n个顶点的实体网格的最佳二等分。以建议的方式限制切割,我们可以将运行时间缩短到O(n〜4)。我们证明了这些限制切割仍然可以为原始问题提供很好的解决方案:最佳限制切割是最佳标准二等分的双标准近似。分区大小的差异和裁切的边数均如此。

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