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Improved Generic Algorithms for Hard Knapsacks

机译:改进的硬背包通用算法

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At Eurocrypt 2010, Howgrave-Graham and Joux described an algorithm for solving hard knapsacks of density close to 1 in time O(2~(0.337n)) and memory O(2~(0.256n), thereby improving a 30-year old algorithm by Shamir and Schroeppel. In this paper we extend the Howgrave-Graham-Joux technique to get an algorithm with running time down to O(2~(0.291n)). An implementation shows the practicability of the technique. Another challenge is to reduce the memory requirement. We describe a constant memory algorithm based on cycle finding with running time O(2~(0.72n); we also show a time-memory tradeoff.
机译:在Eurocrypt 2010上,Howgrave-Graham和Joux描述了一种算法,可以解决时间O(2〜(0.337n))和内存O(2〜(0.256n)接近于1的密度的硬背包,从而改善了30年的历史Shamir和Schroeppel提出的算法,在本文中,我们将Howgrave-Graham-Joux技术进行了扩展,以得到运行时间低至O(2〜(0.291n))的算法,一种实现方法证明了该技术的实用性。为了减少内存需求,我们描述了一种基于循环查找的,运行时间为O(2〜(0.72n)的恒定内存算法;并且还展示了时间内存的权衡。

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