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An Experimental Comparison of Some LLL-Type Lattice Basis Reduction Algorithms

机译:LLL型格减少算法的实验比较

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In this paper we experimentally compare the performance of the (L^2) lattice basis reduction algorithm, whose importance recently became evident, with our own Gram-based lattice basis reduction algorithm, which is a variant of the Schnorr–Euchner algorithm. We conclude with observations about the algorithms under investigation for lattice basis dimensions up to the theoretical limit. We also reexamine the notion of “buffered transformations” and its impact on performance of lattice basis reduction algorithms. We experimentally compare four different algorithms directly in the Sage Mathematics Software: our own algorithm, the (L^2) algorithm and “buffered” versions of them resulting in a total of four algorithms.
机译:在本文中,我们通过实验比较了(L ^ 2)晶格基约简算法的性能,该算法的重要性最近变得很明显,它与我们自己的基于Gram的晶格基约简算法是Schnorr–Euchner算法的变体。我们得出的结论是,正在研究的算法的晶格基本尺寸达到理论极限。我们还将重新审查“缓冲转换”的概念及其对晶格基约简算法性能的影响。我们直接在Sage数学软件中通过实验比较了四种不同的算法:我们自己的算法,(L ^ 2)算法和它们的“缓冲”版本,总共产生了四种算法。

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