{"title":"确定0(nm)内的边缘连通性","authors":"D. Matula","doi":"10.1109/SFCS.1987.19","DOIUrl":null,"url":null,"abstract":"We describe an algorithm that determines the edge connectivity of an n-vertex m-edge graph G in O(nm) time. A refinement shows that the question as to whether a graph is k-edge connected can be determined in O(kn2). For dense graphs characterized by m = Ω(n2), the latter result implies that determination of whether a graph is k-edge connected for any fixed k can be accomplished in time linear in input size.","PeriodicalId":153779,"journal":{"name":"28th Annual Symposium on Foundations of Computer Science (sfcs 1987)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1987-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"98","resultStr":"{\"title\":\"Determining edge connectivity in 0(nm)\",\"authors\":\"D. Matula\",\"doi\":\"10.1109/SFCS.1987.19\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We describe an algorithm that determines the edge connectivity of an n-vertex m-edge graph G in O(nm) time. A refinement shows that the question as to whether a graph is k-edge connected can be determined in O(kn2). For dense graphs characterized by m = Ω(n2), the latter result implies that determination of whether a graph is k-edge connected for any fixed k can be accomplished in time linear in input size.\",\"PeriodicalId\":153779,\"journal\":{\"name\":\"28th Annual Symposium on Foundations of Computer Science (sfcs 1987)\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1987-10-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"98\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"28th Annual Symposium on Foundations of Computer Science (sfcs 1987)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SFCS.1987.19\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"28th Annual Symposium on Foundations of Computer Science (sfcs 1987)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SFCS.1987.19","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We describe an algorithm that determines the edge connectivity of an n-vertex m-edge graph G in O(nm) time. A refinement shows that the question as to whether a graph is k-edge connected can be determined in O(kn2). For dense graphs characterized by m = Ω(n2), the latter result implies that determination of whether a graph is k-edge connected for any fixed k can be accomplished in time linear in input size.