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  • 标题:Superlinear lower bounds for multipass graph processing
  • 本地全文:下载
  • 作者:Venkatesan Guruswami ; Krzysztof Onak
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:2013
  • 卷号:2013
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:

    We prove n1+(1p)pO(1) lower bounds for the space complexity of p-pass streaming algorithms solving the following problems on n-vertex graphs:

    * testing if an undirected graph has a perfect matching (this implies lower bounds for computing a maximum matching or even just the maximum matching size),

    * testing if two specific vertices are at distance at most 2(p+1) in an undirected graph,

    * testing if there is a directed path from s to t for two specific vertices s and t in a directed graph.

    Prior to our result, it was known that these problems require (n2) space in one pass, but no n1+(1) lower bound was known for any p2.

    These streaming results follow from a communication complexity lower bound for a communication game in which the players hold two graphs on the same set of vertices. The task of the players is to find out whether the sets of vertices reachable from a specific vertex in exactly p+1 steps intersect. The game requires a significant amount of communication only if the players are forced to speak in a specific difficult order. This is reminiscent of lower bounds for communication problems such as indexing and pointer chasing. Among other things, our line of attack requires proving an information cost lower bound for a decision version of the classic pointer chasing problem and a direct sum type theorem for the disjunction of several instances of this problem

  • 关键词:Communication complexity; information theory; maximum matching; shortest path; streaming
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