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  • 标题:Tight Bounds for Monotone Switching Networks via Fourier Analysis
  • 本地全文:下载
  • 作者:Siu Man Chan ; Aaron Potechin
  • 期刊名称:Theory of Computing
  • 印刷版ISSN:1557-2862
  • 电子版ISSN:1557-2862
  • 出版年度:2014
  • 卷号:10
  • 页码:389-419
  • 出版社:University of Chicago
  • 摘要:For every integer $k \ge 3$, we prove that there is a predicate $P$ on $k$ Boolean variables with $2^{\widetilde{O}(k^{1/3})}$ accepting assignments that is approximation resistant even on satisfiable instances. That is, given a satisfiable CSP instance with constraint $P$, we cannot achieve better approximation ratio than simply picking random assignments. This improves the best previously known result by Håstad and Khot ( Theory of Computing, 2005) who showed that a predicate on $k$ variables with $2^{O(k^{1/2})}$ accepting assignments is approximation resistant on satisfiable instances
  • 关键词:Max-CSP; probabilistically checkable proofs; approximation resistance; satisfiable instance
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