An O(n^4) time algorithm to compute the bisection width of solid grid graphs

A. Feldmann, P. Widmayer
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引用次数: 24

Abstract

The bisection problem asks for a partition of the n vertices of a graph into two sets of size at most dn/2e, so that the number of edges connecting the two sets is minimised. A grid graph is a finite connected subgraph of the infinite two-dimensional grid. It is called solid if it has no holes. Papadimitriou and Sideri [7] gave an O(n) time algorithm to solve the bisection problem on solid grid graphs. We propose a novel approach that exploits structural properties of optimal cuts within a dynamic program. We show that our new technique leads to an O(n)
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一个O(n^4)时间算法计算实体网格图的等分宽度
等分问题要求将一个图的n个顶点划分为两个大小不超过dn/2e的集合,从而使连接这两个集合的边的数量最小化。网格图是无限二维网格的有限连通子图。如果它没有孔,就称为固体。Papadimitriou和Sideri[7]给出了一个O(n)时间的算法来解决实体网格图上的等分问题。我们提出了一种新颖的方法,利用动态规划中最优切割的结构特性。我们证明我们的新技术可以产生O(n)
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