{"title":"一种基于广义矩阵的无环单向网络路由算法","authors":"G. Yan, W. Liu, L. Rai","doi":"10.1109/ICSPS.2010.5555560","DOIUrl":null,"url":null,"abstract":"This paper presents a generalized matrix-based algorithm for generating routing schemes in an acyclic unidirectional network. The fundamental approach is to generate all possible paths from a source location to destination represented in a 2-dimensional matrix applying the proposed blanking patterns (BP) algorithm. It was found that, blanking patterns algorithm effectively provides the list of all routes in any unidirectional acyclic network by identifying definite patterns of combinations of rows and columns. With this approach, students, professionals, scientists and engineers easily implement programs for finding shortest, longest paths or to implement programs related critical path finding in project networks without understanding complex data structures or algorithms.","PeriodicalId":234084,"journal":{"name":"2010 2nd International Conference on Signal Processing Systems","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A generalized matrix based algorithm for routing in acyclic unidirectional networks\",\"authors\":\"G. Yan, W. Liu, L. Rai\",\"doi\":\"10.1109/ICSPS.2010.5555560\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a generalized matrix-based algorithm for generating routing schemes in an acyclic unidirectional network. The fundamental approach is to generate all possible paths from a source location to destination represented in a 2-dimensional matrix applying the proposed blanking patterns (BP) algorithm. It was found that, blanking patterns algorithm effectively provides the list of all routes in any unidirectional acyclic network by identifying definite patterns of combinations of rows and columns. With this approach, students, professionals, scientists and engineers easily implement programs for finding shortest, longest paths or to implement programs related critical path finding in project networks without understanding complex data structures or algorithms.\",\"PeriodicalId\":234084,\"journal\":{\"name\":\"2010 2nd International Conference on Signal Processing Systems\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 2nd International Conference on Signal Processing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSPS.2010.5555560\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd International Conference on Signal Processing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSPS.2010.5555560","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A generalized matrix based algorithm for routing in acyclic unidirectional networks
This paper presents a generalized matrix-based algorithm for generating routing schemes in an acyclic unidirectional network. The fundamental approach is to generate all possible paths from a source location to destination represented in a 2-dimensional matrix applying the proposed blanking patterns (BP) algorithm. It was found that, blanking patterns algorithm effectively provides the list of all routes in any unidirectional acyclic network by identifying definite patterns of combinations of rows and columns. With this approach, students, professionals, scientists and engineers easily implement programs for finding shortest, longest paths or to implement programs related critical path finding in project networks without understanding complex data structures or algorithms.