Search and test algorithms for triple product property triples

Ivo Hedtke, Sandeep Murthy
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引用次数: 11

Abstract

Abstract. In 2003 Cohn and Umans introduced a group-theoretic approach to fast matrix multiplication. This involves finding large subsets of a group satisfying the triple product property (TPP) as a means to bound the exponent of matrix multiplication. We present two new characterizations of the TPP, which are used for theoretical considerations and for TPP test algorithms. We describe the algorithms for all known TPP tests and present the runtime differences between their GAP implementations. We prove that the search for non-trivial-sized TPP triples of subgroups of a given group can be restricted to the set of its non-normal subgroups, and apply this, together with other preconditions, to describe brute-force search algorithms for largest-sized TPP triples of subgroups and subsets. In addition we present the results of the subset brute-force search for all groups of order up to 32 and selected results of the subgroup brute-force search for 2-groups, and . Our results for the groups and suggest tentative answers to certain questions posed by Cohn and Umans.
搜索和测试算法的三重乘积性质三元组
摘要2003年,Cohn和human引入了一种快速矩阵乘法的群论方法。这涉及找到满足三重积性质(TPP)的群的大子集,作为约束矩阵乘法指数的一种手段。我们提出了两种新的TPP特征,用于理论考虑和TPP测试算法。我们描述了所有已知的TPP测试的算法,并给出了它们的GAP实现之间的运行时差异。我们证明了对给定群的子群的非平凡大小的TPP三元组的搜索可以限制在它的非正规子群的集合上,并将此与其他前提条件一起应用于描述子群和子集的最大大小TPP三元组的暴力搜索算法。此外,我们还给出了对所有排序为32的组的子集暴力搜索的结果,以及对2组的子组暴力搜索的选择结果。我们的研究结果对Cohn和human提出的某些问题提出了初步的答案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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