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  • 标题:Polynomial Time Samplable Distributions
  • 本地全文:下载
  • 作者:Tomoyuki Yamakami
  • 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:This paper studies the complexity of the polynomial-time samplable (P-samplable) distributions, which can be approximated within an exponentially small factor by sampling algorithms in time polynomial in the length of their outputs. The paper shows common assumptions in complexity theory that yield the separation of polynomial-time samplable distributions from the polynomial-time computable distributions with respect to polynomial domination, average-polynomial domination, polynomial equivalence, and average-polynomial equivalence.
  • 关键词:average-case complexity, domination condition, sampling algorithm, strong one-way functions
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