The non-adaptive query complexity of testing k-parities

arXiv (Cornell University)(2013)

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摘要
We prove tight bounds of Theta(k log k) queries for non-adaptively testing whether a function f:{0,1}^n -> {0,1} is a k-parity or far from any k-parity. The lower bound combines a recent method of Blais, Brody and Matulef [BBM11] to get lower bounds for testing from communication complexity with an Omega(k \log k) lower bound for the one-way communication complexity of k-disjointness.
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关键词
testing,non-adaptive,k-parities
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