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  • 标题:Lower Bounds for Testing Bipartiteness in Dense Graphs
  • 本地全文:下载
  • 作者:Andrej Bogdanov ; Luca Trevisan
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:2002
  • 卷号:2002
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:We consider the problem of testing bipartiteness in the adjacency matrix model. The best known algorithm, due to Alon and Krivelevich, distinguishes between bipartite graphs and graphs that are -far from bipartite using O ((1 2 ) polylo g (1 epsilon ) queries. We show that this is optimal for non-adaptive algorithms, up to the polylogarithmic factor. We also show a lower bound of (1 3 2 ) for adaptive algorithms.
  • 关键词:lower bounds , Property Testing
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