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  • 标题:On convex complexity measures
  • 本地全文:下载
  • 作者:Pavel Hrubes ; Stasys Jukna ; Alexander Kulikov
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:2009
  • 卷号:2009
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:Khrapchenko's classical lower bound n 2 on the formula size of the parity function~ f can be interpreted as designing a suitable measure of subrectangles of the combinatorial rectangle f − 1 (0) f − 1 (1) . Trying to generalize this approach we arrived at the concept of \emph{convex measures}. We prove the negative result that convex measures are bounded by O ( n 2 ) and show that several measures considered for proving lower bounds on the formula size are convex. We also prove quadratic upper bounds on a class of measures that are not necessarily convex.
  • 关键词:convex measure , formal complexity measure , formula size , lower bounds
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