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Parallel Comparability Graph Recognition and Modular Decomposition

机译:并行可比性图识别与模块化分解

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A parallelization of the algorithm of Golumbic for recognizing comparability graphs is proposed for the concurrent parallel random access machine (CRCW PRAM). Parallel algorithms for finding a transitive orientation and the modular decomposition of any undirected graph are deduced from an extension of the theory of Golumbic toward modular decomposition. The algorithms for recognizing and transitively orienting comparability graphs run in O(log n) time using #delta#m processors and the modular decomposition algorithm runs in O(log n) time using n~3 processors (n, m and #delta# respectively denote the number of vertices, the number of edges and the maximal degree of the undirected input graph).
机译:针对并行并行随机存取机(CRCW PRAM),提出了一种用于识别可比性图的Golumbic算法的并行化方法。从Golumbic理论向模块分解的扩展中推导了用于找到传递方向和任何无向图的模块分解的并行算法。用于识别和传递可比性图的算法使用#delta#m处理器以O(log n)时间运行,而模块化分解算法使用n〜3个处理器(分别为n,m和#delta#)以O(log n)时间运行表示顶点数,边数和无向输入图的最大程度)。

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