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Block Interpolation: A Framework for Tight Exponential-Time Counting Complexity

机译:块插值:紧指数时间计数复杂性的框架

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We devise a framework for proving tight lower bounds under the counting exponential-time hypothesis #ETH introduced by Dell et al. Our framework allows to convert many known #P-hardness results for counting problems into results of the following type: If the given problem admits an algorithm with running time 2~(o(n)) on graphs with n vertices and O(n) edges, then #ETH fails. As exemplary applications of this framework, we obtain such tight lower bounds for the evaluation of the zero-one permanent, the matching polynomial, and the Tutte polynomial on all non-easy points except for two lines.
机译:我们设计了一个框架,用于证明戴尔等人引入的计数指数时间假设#ETH下的严格下界。我们的框架允许将许多已知的用于计数问题的#P硬度结果转换为以下类型的结果:如果给定的问题允许在n个顶点和O(n)的图上运行时间为2〜(o(n))的算法边缘,则#ETH失败。作为此框架的示例性应用,我们获得了如此严格的下界,用于评估除两行以外的所有非易点上的零一永久项,匹配多项式和Tutte多项式。

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