树分解及相关问题的高效并行算法

J. Lagergren
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引用次数: 47

摘要

针对固定宽度w的树分解问题,提出了一种有效的并行算法。该算法运行时间为0 (log/sup 3/ n),在并发读、并发写并行随机存取机(CRCW PRAM)上使用O(n)个处理器。这一结果可用于构建三种重要问题的高效并行算法:单一元二阶性质问题、线性扩展单一元二阶极值问题和树宽度最多为w的图的单一元二阶性质的枚举问题。改进了固定w的树组合问题的顺序时间复杂度,并说明了这种改进的一些意义
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient parallel algorithms for tree-decomposition and related problems
An efficient parallel algorithm for the tree-decomposition problem for fixed width w is presented. The algorithm runs in time O(log/sup 3/ n) and uses O(n) processors on a concurrent-read, concurrent-write parallel random access machine (CRCW PRAM). This result can be used to construct efficient parallel algorithms for three important classes of problems: MS (monadic second-order) properties, linear EMS (extended monadic second-order) extremum problems, and enumeration problems for MS properties, for graphs of tree width at most w. The sequential time complexity of the tree-composition problem for fixed w is improved, and some implications for this improvement are stated.<>
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