{"title":"一种求解最长公共子序列问题的新算法","authors":"Xuyu Xiang, Dafang Zhang, Jiaohua Qin","doi":"10.1109/CIS.WORKSHOPS.2007.209","DOIUrl":null,"url":null,"abstract":"In order to find the longest common subsequence (LCS) as soon as possible, we, with the method of match pairs, propose the new algorithm of the sequence of DNA, which is efficient both in time and in space on the basis of the improved dynamic programming theorem.","PeriodicalId":409737,"journal":{"name":"2007 International Conference on Computational Intelligence and Security Workshops (CISW 2007)","volume":"353 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"A New Algorithm for the Longest Common Subsequence Problem\",\"authors\":\"Xuyu Xiang, Dafang Zhang, Jiaohua Qin\",\"doi\":\"10.1109/CIS.WORKSHOPS.2007.209\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to find the longest common subsequence (LCS) as soon as possible, we, with the method of match pairs, propose the new algorithm of the sequence of DNA, which is efficient both in time and in space on the basis of the improved dynamic programming theorem.\",\"PeriodicalId\":409737,\"journal\":{\"name\":\"2007 International Conference on Computational Intelligence and Security Workshops (CISW 2007)\",\"volume\":\"353 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Conference on Computational Intelligence and Security Workshops (CISW 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIS.WORKSHOPS.2007.209\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Computational Intelligence and Security Workshops (CISW 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIS.WORKSHOPS.2007.209","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A New Algorithm for the Longest Common Subsequence Problem
In order to find the longest common subsequence (LCS) as soon as possible, we, with the method of match pairs, propose the new algorithm of the sequence of DNA, which is efficient both in time and in space on the basis of the improved dynamic programming theorem.