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  • 标题:On Extracting Randomness From Weak Random Sources
  • 本地全文:下载
  • 作者:Amnon Ta-Shma
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:1995
  • 卷号:1995
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:We prove an exponential lower bound on the size of any fixed-degree algebraic decision tree for solving MAX, the problem of finding the maximum of n real numbers. This complements the n−1 lower bound of Rabin \cite{R72} on the depth of algebraic decision trees for this problem. The proof in fact gives an exponential lower bound on size for the polyhedral decision problem MAX= of testing whether the j-th number is the maximum among a list of n real numbers. Previously, except for linear decision trees, no nontrivial lower bounds on the size of algebraic decision trees for any familiar problems are known. We also establish an interesting connection between our lower bound and the maximum number of minimal cutsets for any rank-d hypergraphs on n vertices.
  • 关键词:Hypergraphs, Lower Bounds Algebraic Decision Trees, MAX Problem, Minimal Cutsets, Selection Problems
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