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An Improved Upper Bound on Maximal Clique Listing via Rectangular Fast Matrix Multiplication

机译:通过矩形快速矩阵乘法在最大集团列表上的改进上限

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The first output-sensitive algorithm for the Maximal Clique Listing problem was given by Tsukiyama et al. (SIAM J Comput 6(3): 505-517, 1977). As any algorithm falling within the Reverse Search paradigm, it performs a DFS visit of a directed tree (the RS-tree) having the objects to be listed (i.e., maximal cliques) as its nodes. In a recursive implementation, the RS-tree corresponds to the recursion tree of the algorithm. The time delay is given by the cost of generating the next child of a node, and Tsukiyama et al. showed it is O(mn). Makino and Uno (in: Hagerup, Katajainen (eds) Algorithm theory: SWAT 2004. Lecture notes in computer science, Springer, Berlin, pp 260-272, 2004) sharpened the time delay to O(n(omega)) by generating all the children of a node in one single shot, which is performed by computing a square fast matrix multiplication. In this paper we further improve the asymptotics for the exploration of the same RS-tree by grouping the offsprings' computation even further. Our idea is to rely on rectangular fast matrix multiplication in order to compute all children of n(2) nodes in one single shot. According to the current upper bounds on square and rectangular fast matrix multiplication, with this the time delay improves from O(n(2.3728639)) to O(n(2.093362)), keeping a polynomial work space.
机译:Tsukiyama等人给出了第一个针对最大集团上市问题的输出敏感算法。 (SIAM J Comput 6(3):505-517,1977)。作为落在反向搜索范式中的任何算法,它对具有要列出的对象(即,最大集团)的节点的有向树(RS-树)执行DFS访问。在递归实现中,RS树对应于算法的递归树。时间延迟由生成节点的下一个子节点的成本给出,Tsukiyama等人。显示它是O(mn)。 Makino and Uno(in:Hagerup,Katajainen(eds)算法理论:SWAT2004。计算机科学讲座,Springer,柏林,第260-272页,2004年)通过生成所有函数,将时间延迟提高到O(n(omega))。通过计算平方快速矩阵乘法来一次完成一个节点的子节点。在本文中,我们通过进一步将子代的计算分组,进一步改善了渐近性,从而探索了相同的RS树。我们的想法是依靠矩形快速矩阵乘法来一次计算n(2)个节点的所有子级。根据当前正方形和矩形快速矩阵乘法的上限,时间延迟从O(n(2.3728639))改善为O(n(2.093362)),从而保留了多项式工作空间。

著录项

  • 来源
    《Algorithmica》 |2018年第12期|3525-3562|共38页
  • 作者

    Comin Carlo; Rizzi Romeo;

  • 作者单位
  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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