Separating Overlapped Intervals on a Line

Shimin Li, Haitao Wang
{"title":"Separating Overlapped Intervals on a Line","authors":"Shimin Li, Haitao Wang","doi":"10.20382/jocg.v10i1a11","DOIUrl":null,"url":null,"abstract":"Given $n$ intervals on a line $\\ell$, we consider the problem of moving these intervals on $\\ell$ such that no two intervals overlap and the maximum moving distance of the intervals is minimized. The difficulty for solving the problem lies in determining the order of the intervals in an optimal solution. By interesting observations, we show that it is sufficient to consider at most $n$ \"candidate\" lists of ordered intervals. Further, although explicitly maintaining these lists takes $\\Omega(n^2)$ time and space, by more observations and a pruning technique, we present an algorithm that can compute an optimal solution in $O(n\\log n)$ time and $O(n)$ space. We also prove an $\\Omega(n\\log n)$ time lower bound for solving the problem, which implies the optimality of our algorithm.","PeriodicalId":54969,"journal":{"name":"International Journal of Computational Geometry & Applications","volume":"3 1","pages":"281-321"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computational Geometry & Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20382/jocg.v10i1a11","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 0

Abstract

Given $n$ intervals on a line $\ell$, we consider the problem of moving these intervals on $\ell$ such that no two intervals overlap and the maximum moving distance of the intervals is minimized. The difficulty for solving the problem lies in determining the order of the intervals in an optimal solution. By interesting observations, we show that it is sufficient to consider at most $n$ "candidate" lists of ordered intervals. Further, although explicitly maintaining these lists takes $\Omega(n^2)$ time and space, by more observations and a pruning technique, we present an algorithm that can compute an optimal solution in $O(n\log n)$ time and $O(n)$ space. We also prove an $\Omega(n\log n)$ time lower bound for solving the problem, which implies the optimality of our algorithm.
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
分隔线上重叠的间隔
给定一条直线$\ell$上的$n$区间,我们考虑在$\ell$上移动这些区间的问题,使得没有两个区间重叠,并且区间的最大移动距离最小。求解该问题的难点在于确定最优解中区间的顺序。通过有趣的观察,我们证明最多考虑$n$有序区间的“候选”列表是足够的。此外,尽管显式维护这些列表需要$\Omega(n^2)$时间和空间,但通过更多的观察和修剪技术,我们提出了一种算法,可以在$O(n\log n)$时间和$O(n)$空间内计算出最优解。我们还证明了求解问题的$\Omega(n\log n)$时间下界,这表明我们的算法是最优的。
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
CiteScore
0.80
自引率
0.00%
发文量
4
审稿时长
>12 weeks
期刊介绍: The International Journal of Computational Geometry & Applications (IJCGA) is a quarterly journal devoted to the field of computational geometry within the framework of design and analysis of algorithms. Emphasis is placed on the computational aspects of geometric problems that arise in various fields of science and engineering including computer-aided geometry design (CAGD), computer graphics, constructive solid geometry (CSG), operations research, pattern recognition, robotics, solid modelling, VLSI routing/layout, and others. Research contributions ranging from theoretical results in algorithm design — sequential or parallel, probabilistic or randomized algorithms — to applications in the above-mentioned areas are welcome. Research findings or experiences in the implementations of geometric algorithms, such as numerical stability, and papers with a geometric flavour related to algorithms or the application areas of computational geometry are also welcome.
期刊最新文献
On morphs of 1-plane graphs A Geometric Approach to Inelastic Collapse Near-optimal algorithms for point-line fitting problems Algorithms for approximate sparse regression and nearest induced hulls Recognizing weighted and seeded disk graphs
×
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