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A parallel algorithm for finding a minimum-weight connected dominating set on trapezoid graphs

机译:在梯形图上找到最小权重连接控制集的并行算法

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A dominating set D in a graph G=(V,E) is a set of vertices in V such that every vertex in v-d is adjacent to some vertex in D. A dominating set is connected if the graph induced by D is connected. The minimum-weight connected dominating set problem is the problem of finding a connected dominating set with the smallest total weight of vertices in D. This problem is known to be NP-hard for general graphs. Thus, by restricting the shape of graphs, some polynomial time sequential algorithms have been developed. In this paper, we propose an efficient parallel algorithm for finding a minimum-weight connected dominating set for trapezoid graphs in O(log~2n) time using O(n~3) processors on a CREW PRAM.
机译:图G =(V,E)中的支配集D是V中的一组顶点,从而v-d中的每个顶点都与D中的某个顶点相邻。如果连接了D诱导的图,则支配了支配集。最小权重连接控制集问题是找到D个顶点的总权重最小的连接控制集的问题。众所周知,这个问题对于一般图形来说是NP-难的。因此,通过限制图形的形状,已经开发了一些多项式时间顺序算法。在本文中,我们提出了一种有效的并行算法,用于在CREW PRAM上使用O(n〜3)处理器在O(log〜2n)时间内为梯形图找到最小权重的连接控制集。

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