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利用低树宽计算所有对最短路径

Computing All-Pairs Shortest Paths by Leveraging Low Treewidth
课程网址: http://videolectures.net/icaps2011_planken_computing/  
主讲教师: Léon Planken
开课单位: 代尔夫特工业大学
开课时间: 2011-07-21
课程语种: 英语
中文简介:
考虑到n个顶点上的有向图和m个边上的实数(可能为负)权,我们提出了两种新的计算所有对最短路径(APSP)的有效算法。这些算法利用沿顶点排序D的有向路径一致性(DPC)。这些算法在O(n2wd)时间内运行,其中wd是由该顶点排序引起的图宽。对于树宽恒定的图,这会产生O(n2)时间,这是最佳的。在弦图上,算法在O(nm)时间内运行。我们从经验上证明,在许多一般情况下,无论是构造的还是基于实际基准的,算法通常都优于Johnson的算法,它代表了当前的技术状态,运行时间为0(nm+n2log n)。这些算法可用于时间和空间推理,例如用于简单时间问题(STP),强调其与计划和调度社区的相关性。
课程简介: Considering directed graphs on n vertices and m edges with real (possibly negative) weights, we present two new, efficient algorithms for computing all-pairs shortest paths (APSP). These algorithms make use of directed path consistency (DPC) along a vertex ordering d. The algorithms run in O(n2wd) time, where wd is the graph width induced by this vertex ordering. For graphs of constant tree width, this yields O(n2) time, which is optimal. On chordal graphs, the algorithms run in O(nm) time. We show empirically that also in many general cases, both constructed and from realistic benchmarks, the algorithms often outperform Johnson's algorithm, which represents the current state of the art with a run time of O(nm + n2log n). These algorithms can be used for temporal and spatial reasoning, e.g. for the Simple Temporal Problem (STP), which underlines its relevance to the planning and scheduling community.
关 键 词: 常数树宽度图; 约翰逊算法; 空间推理; 时间问题
课程来源: 视频讲座网
最后编审: 2020-09-28:heyf
阅读次数: 64