{"title":"最小生成树验证与灵敏度分析的并行算法","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":"{\"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}","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
摘要
为了验证图G(V,E')的生成树T(V,E)是否为最小生成树,提出了两种并行算法。第一种算法需要O(log n)时间和O(max{m/log n, n/sup 3/2//log n})个处理器,其中|E'|=m, |V|=n。第二种算法需要O(log n)时间和O(m)个处理器,或者O(log nloglog n)时间和O(max{m/log n, n})个处理器。与O(m)时间序列版本相比,第一种算法在G是密集的情况下是最优的。当G为稀疏时,第二种算法具有更好的性能。利用以上结果,我们还提出了一种有效的最小生成树灵敏度分析算法,该算法需要O(log n)时间和O(max{m, n/sup 2//log n})个处理器。本文提出的所有算法都是基于CREW PRAM并行计算模型。
Parallel algorithms for verification and sensitivity analysis of minimum spanning trees
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.