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  • 标题:Fast Multi-Subset Transform and Weighted Sums over Acyclic Digraphs
  • 本地全文:下载
  • 作者:Mikko Koivisto ; Antti R{"o}ysk{"o
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2020
  • 卷号:162
  • 页码:29:1-29:12
  • DOI:10.4230/LIPIcs.SWAT.2020.29
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:The zeta and Moebius transforms over the subset lattice of n elements and the so-called subset convolution are examples of unary and binary operations on set functions. While their direct computation requires O(3ⁿ) arithmetic operations, less naive algorithms only use 2ⁿ poly(n) operations, nearly linear in the input size. Here, we investigate a related n-ary operation that takes n set functions as input and maps them to a new set function. This operation, we call multi-subset transform, is the core ingredient in the known inclusion - exclusion recurrence for weighted sums over acyclic digraphs, which extends Robinson’s recurrence for the number of labelled acyclic digraphs. Prior to this work, the best known complexity bound for computing the multi-subset transform was the direct O(3ⁿ). By reducing the task to rectangular matrix multiplication, we improve the complexity to O(2.985ⁿ).
  • 关键词:Bayesian networks; Moebius transform; Rectangular matrix multiplication; Subset convolution; Weighted counting of acyclic digraphs; Zeta transform
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