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Bandwidth of Bipartite Permutation Graphs

机译:二分置换图的带宽

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摘要

The bandwidth problem is to find a linear layout of vertices in a graph in such way that minimizes the maximum distance between two vertices joined by an edge. The problem has wide applications including sparse matrix computations and molecular biology. However, the problem is NP-complete even for trees. Three polynomial time algorithms for computing the bandwidth of a graph are presented. The first one is a linear time algorithm for a threshold graph, and the second one is a linear time algorithm for a chain graph. They improve the previously known upper bounds to optimal. The last algorithm solves the bandwidth problem for a bipartite permutation graph. This is the first polynomial time algorithm for the graph class. The results give positive answers to some open problems.
机译:带宽问题是以这种方式找到图形中顶点的线性布局,该方法可以最大程度地减小由边连接的两个顶点之间的最大距离。该问题具有广泛的应用,包括稀疏矩阵计算和分子生物学。然而,即使对于树木,问题也是NP完全的。提出了三种用于计算图带宽的多项式时间算法。第一个是用于阈值图的线性时间算法,第二个是用于链图的线性时间算法。它们将先前已知的上限提高到了最佳。最后一种算法解决了二分置换图的带宽问题。这是图类的第一个多项式时间算法。结果对一些未解决的问题给出了肯定的答案。

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