{"title":"Parallel algorithms for verification and sensitivity analysis of minimum spanning trees","authors":"W. Liang, Xiaojun Shen, Qing Hu","doi":"10.1109/ICPADS.1994.590315","DOIUrl":null,"url":null,"abstract":"To verify whether a spanning tree T(V,E) of graph G(V,E') is a minimum spanning tree, two parallel algorithms are presented. The first algorithm requires O(log n) time and O(max{m/log n, n/sup 3/2//log n}) processors, where |E'|=m and |V|=n. The second algorithm requires O(log n) time and O(m) processors or O(log nloglog n) time and O(max{m/log n, n}) processors. The first algorithm is optimal when G is dense, compared with its O(m) time sequential version. The second algorithm has better performance when G is sparse. By using above results, we also present an efficient algorithm for sensitivity analysis of minimum spanning trees which requires O(log n) time and O(max{m, n/sup 2//log n}) processors. All proposed algorithms in this paper are based on the parallel computational model called CREW PRAM.","PeriodicalId":154429,"journal":{"name":"Proceedings of 1994 International Conference on Parallel and Distributed Systems","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1994 International Conference on Parallel and Distributed Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPADS.1994.590315","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
To verify whether a spanning tree T(V,E) of graph G(V,E') is a minimum spanning tree, two parallel algorithms are presented. The first algorithm requires O(log n) time and O(max{m/log n, n/sup 3/2//log n}) processors, where |E'|=m and |V|=n. The second algorithm requires O(log n) time and O(m) processors or O(log nloglog n) time and O(max{m/log n, n}) processors. The first algorithm is optimal when G is dense, compared with its O(m) time sequential version. The second algorithm has better performance when G is sparse. By using above results, we also present an efficient algorithm for sensitivity analysis of minimum spanning trees which requires O(log n) time and O(max{m, n/sup 2//log n}) processors. All proposed algorithms in this paper are based on the parallel computational model called CREW PRAM.