一种改进的之字形竞赛小组测试方法

IF 0.9 4区 数学 Q3 MATHEMATICS, APPLIED
Jun Wu , Yongxi Cheng , Ding-Zhu Du
{"title":"一种改进的之字形竞赛小组测试方法","authors":"Jun Wu ,&nbsp;Yongxi Cheng ,&nbsp;Ding-Zhu Du","doi":"10.1016/j.disopt.2022.100687","DOIUrl":null,"url":null,"abstract":"<div><p><span>In many fault detection problems, we want to identify defective items from a set of </span><span><math><mi>n</mi></math></span><span> items using the minimum number of tests. Group testing is for the scenario where each test is on a subset of items, and tells whether the subset contains at least one defective item or not. In practice, the number </span><span><math><mi>d</mi></math></span> of defective items is often unknown in advance. In this paper, we improve the previously best algorithm for a central problem in combinatorial group testing with unknown number of defectives (Cheng et al., 2014), and prove that the number of tests used by our new algorithm is no more than <span><math><mrow><mi>d</mi><mo>log</mo><mfrac><mrow><mi>n</mi></mrow><mrow><mi>d</mi></mrow></mfrac><mo>+</mo><mrow><mo>(</mo><mn>5</mn><mo>−</mo><mo>log</mo><mn>5</mn><mo>)</mo></mrow><mi>d</mi><mo>+</mo><mi>O</mi><mrow><mo>(</mo><msup><mrow><mo>log</mo></mrow><mrow><mn>2</mn></mrow></msup><mi>d</mi><mo>)</mo></mrow></mrow></math></span>, where <span><math><mo>log</mo></math></span> is of base 2.</p></div>","PeriodicalId":50571,"journal":{"name":"Discrete Optimization","volume":null,"pages":null},"PeriodicalIF":0.9000,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An improved zig zag approach for competitive group testing\",\"authors\":\"Jun Wu ,&nbsp;Yongxi Cheng ,&nbsp;Ding-Zhu Du\",\"doi\":\"10.1016/j.disopt.2022.100687\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p><span>In many fault detection problems, we want to identify defective items from a set of </span><span><math><mi>n</mi></math></span><span> items using the minimum number of tests. Group testing is for the scenario where each test is on a subset of items, and tells whether the subset contains at least one defective item or not. In practice, the number </span><span><math><mi>d</mi></math></span> of defective items is often unknown in advance. In this paper, we improve the previously best algorithm for a central problem in combinatorial group testing with unknown number of defectives (Cheng et al., 2014), and prove that the number of tests used by our new algorithm is no more than <span><math><mrow><mi>d</mi><mo>log</mo><mfrac><mrow><mi>n</mi></mrow><mrow><mi>d</mi></mrow></mfrac><mo>+</mo><mrow><mo>(</mo><mn>5</mn><mo>−</mo><mo>log</mo><mn>5</mn><mo>)</mo></mrow><mi>d</mi><mo>+</mo><mi>O</mi><mrow><mo>(</mo><msup><mrow><mo>log</mo></mrow><mrow><mn>2</mn></mrow></msup><mi>d</mi><mo>)</mo></mrow></mrow></math></span>, where <span><math><mo>log</mo></math></span> is of base 2.</p></div>\",\"PeriodicalId\":50571,\"journal\":{\"name\":\"Discrete Optimization\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2022-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Discrete Optimization\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1572528622000020\",\"RegionNum\":4,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Discrete Optimization","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1572528622000020","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 2

摘要

在许多故障检测问题中,我们希望使用最少的测试次数从一组n个项目中识别出有缺陷的项目。组测试适用于这样的场景:每个测试都针对项目的一个子集,并告诉该子集是否至少包含一个有缺陷的项目。在实践中,不良品的数量往往是事先未知的。。在本文中,我们改进了先前针对缺陷数未知的组合群测试中心问题的最佳算法(Cheng et al., 2014),并证明了我们的新算法使用的测试次数不超过dlogd +(5−log5)d+O(log2d),其中log以2为底。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An improved zig zag approach for competitive group testing

In many fault detection problems, we want to identify defective items from a set of n items using the minimum number of tests. Group testing is for the scenario where each test is on a subset of items, and tells whether the subset contains at least one defective item or not. In practice, the number d of defective items is often unknown in advance. In this paper, we improve the previously best algorithm for a central problem in combinatorial group testing with unknown number of defectives (Cheng et al., 2014), and prove that the number of tests used by our new algorithm is no more than dlognd+(5log5)d+O(log2d), where log is of base 2.

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
Discrete Optimization
Discrete Optimization 管理科学-应用数学
CiteScore
2.10
自引率
9.10%
发文量
30
审稿时长
>12 weeks
期刊介绍: Discrete Optimization publishes research papers on the mathematical, computational and applied aspects of all areas of integer programming and combinatorial optimization. In addition to reports on mathematical results pertinent to discrete optimization, the journal welcomes submissions on algorithmic developments, computational experiments, and novel applications (in particular, large-scale and real-time applications). The journal also publishes clearly labelled surveys, reviews, short notes, and open problems. Manuscripts submitted for possible publication to Discrete Optimization should report on original research, should not have been previously published, and should not be under consideration for publication by any other journal.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信