Deterministic sub-linear space LCE data structures with efficient construction

Yuka Tanimura, T. I., H. Bannai, Shunsuke Inenaga, S. Puglisi, M. Takeda
{"title":"Deterministic sub-linear space LCE data structures with efficient construction","authors":"Yuka Tanimura, T. I., H. Bannai, Shunsuke Inenaga, S. Puglisi, M. Takeda","doi":"10.4230/LIPIcs.CPM.2016.1","DOIUrl":null,"url":null,"abstract":"Given a string $S$ of $n$ symbols, a longest common extension query $\\mathsf{LCE}(i,j)$ asks for the length of the longest common prefix of the $i$th and $j$th suffixes of $S$. LCE queries have several important applications in string processing, perhaps most notably to suffix sorting. Recently, Bille et al. (J. Discrete Algorithms 25:42-50, 2014, Proc. CPM 2015: 65-76) described several data structures for answering LCE queries that offers a space-time trade-off between data structure size and query time. In particular, for a parameter $1 \\leq \\tau \\leq n$, their best deterministic solution is a data structure of size $O(n/\\tau)$ which allows LCE queries to be answered in $O(\\tau)$ time. However, the construction time for all deterministic versions of their data structure is quadratic in $n$. In this paper, we propose a deterministic solution that achieves a similar space-time trade-off of $O(\\tau\\min\\{\\log\\tau,\\log\\frac{n}{\\tau}\\})$ query time using $O(n/\\tau)$ space, but significantly improve the construction time to $O(n\\tau)$.","PeriodicalId":236737,"journal":{"name":"Annual Symposium on Combinatorial Pattern Matching","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual Symposium on Combinatorial Pattern Matching","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4230/LIPIcs.CPM.2016.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18

Abstract

Given a string $S$ of $n$ symbols, a longest common extension query $\mathsf{LCE}(i,j)$ asks for the length of the longest common prefix of the $i$th and $j$th suffixes of $S$. LCE queries have several important applications in string processing, perhaps most notably to suffix sorting. Recently, Bille et al. (J. Discrete Algorithms 25:42-50, 2014, Proc. CPM 2015: 65-76) described several data structures for answering LCE queries that offers a space-time trade-off between data structure size and query time. In particular, for a parameter $1 \leq \tau \leq n$, their best deterministic solution is a data structure of size $O(n/\tau)$ which allows LCE queries to be answered in $O(\tau)$ time. However, the construction time for all deterministic versions of their data structure is quadratic in $n$. In this paper, we propose a deterministic solution that achieves a similar space-time trade-off of $O(\tau\min\{\log\tau,\log\frac{n}{\tau}\})$ query time using $O(n/\tau)$ space, but significantly improve the construction time to $O(n\tau)$.
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
具有高效构造的确定性亚线性空间LCE数据结构
给定一个包含$n$符号的字符串$S$,最长公共扩展查询$\mathsf{LCE}(i,j)$会查询$S$的第$i$和$j$第th后缀的最长公共前缀的长度。LCE查询在字符串处理中有几个重要的应用,最明显的可能是后缀排序。最近,Bille等人(J. Discrete Algorithms 25:42- 50,2014, Proc. CPM 2015: 65-76)描述了几种用于回答LCE查询的数据结构,这些数据结构在数据结构大小和查询时间之间提供了时空权衡。特别是,对于参数$1 \leq \tau \leq n$,他们的最佳确定性解决方案是大小为$O(n/\tau)$的数据结构,它允许在$O(\tau)$时间内回答LCE查询。然而,在$n$中,它们的数据结构的所有确定性版本的构建时间都是二次的。在本文中,我们提出了一种确定性解决方案,该解决方案使用$O(n/\tau)$空间实现了类似的$O(\tau\min\{\log\tau,\log\frac{n}{\tau}\})$查询时间的时空权衡,但显著提高了$O(n\tau)$的构建时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Optimal LZ-End Parsing is Hard From Bit-Parallelism to Quantum String Matching for Labelled Graphs Order-Preserving Squares in Strings Sliding Window String Indexing in Streams Parameterized Algorithms for String Matching to DAGs: Funnels and Beyond
×
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