搜索和测试算法的三重乘积性质三元组

Ivo Hedtke, Sandeep Murthy
{"title":"搜索和测试算法的三重乘积性质三元组","authors":"Ivo Hedtke, Sandeep Murthy","doi":"10.1515/gcc-2012-0006","DOIUrl":null,"url":null,"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.","PeriodicalId":119576,"journal":{"name":"Groups Complex. Cryptol.","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Search and test algorithms for triple product property triples\",\"authors\":\"Ivo Hedtke, Sandeep Murthy\",\"doi\":\"10.1515/gcc-2012-0006\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":119576,\"journal\":{\"name\":\"Groups Complex. Cryptol.\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Groups Complex. Cryptol.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1515/gcc-2012-0006\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Groups Complex. Cryptol.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/gcc-2012-0006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

摘要

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。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Search and test algorithms for triple product property triples
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
On the intersection of subgroups in free groups: Echelon subgroups are inert On the dimension of matrix representations of finitely generated torsion free nilpotent groups Decision and Search in Non-Abelian Cramer-Shoup Public Key Cryptosystem Non-associative key establishment for left distributive systems Generic complexity of the Diophantine problem
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1