{"title":"背包问题并行算法的时间复杂度分析","authors":"S. Padmavathi, S. Mercy Shalinie","doi":"10.1109/ICSCN.2007.350734","DOIUrl":null,"url":null,"abstract":"In this paper, we have analyzed various parallel algorithms for solving knapsack problem and proposed an efficient approach for solving knapsack problem using an approximation algorithm. We also discussed the time complexity of different algorithm. Backtracking is not discussed here due to its inherent sequential property. The validity of the proposed algorithm is demonstrated on a worked out example and it shows the superiority of the proposed algorithm","PeriodicalId":257948,"journal":{"name":"2007 International Conference on Signal Processing, Communications and Networking","volume":"144 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analyzing Time Complexity of Parallel Algorithms for Knapsack Problem\",\"authors\":\"S. Padmavathi, S. Mercy Shalinie\",\"doi\":\"10.1109/ICSCN.2007.350734\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we have analyzed various parallel algorithms for solving knapsack problem and proposed an efficient approach for solving knapsack problem using an approximation algorithm. We also discussed the time complexity of different algorithm. Backtracking is not discussed here due to its inherent sequential property. The validity of the proposed algorithm is demonstrated on a worked out example and it shows the superiority of the proposed algorithm\",\"PeriodicalId\":257948,\"journal\":{\"name\":\"2007 International Conference on Signal Processing, Communications and Networking\",\"volume\":\"144 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-11-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Conference on Signal Processing, Communications and Networking\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSCN.2007.350734\",\"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 Signal Processing, Communications and Networking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCN.2007.350734","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analyzing Time Complexity of Parallel Algorithms for Knapsack Problem
In this paper, we have analyzed various parallel algorithms for solving knapsack problem and proposed an efficient approach for solving knapsack problem using an approximation algorithm. We also discussed the time complexity of different algorithm. Backtracking is not discussed here due to its inherent sequential property. The validity of the proposed algorithm is demonstrated on a worked out example and it shows the superiority of the proposed algorithm