{"title":"求解线性代数方程的分布式算法的进一步讨论","authors":"Xuan Wang, S. Mou, Dengfeng Sun","doi":"10.23919/ACC.2017.7963612","DOIUrl":null,"url":null,"abstract":"In [2], a distributed algorithm has recently been developed for solving linear algebraic equations via multi-agent networks. To adopt the algorithm, each agent only has to know part of the linear equation as well as its nearby neighbors' estimates to the solution. In this paper, we would like to further discuss this algorithm from the following two perspectives. The first one is to improve the numerical stability of the algorithm and meanwhile eliminate initialization step that is necessary in [2]. The second one is to achieve a specific solution with minimum l2 norm when the linear equation has more than one solutions.","PeriodicalId":422926,"journal":{"name":"2017 American Control Conference (ACC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Further discussions on a distributed algorithm for solving linear algebra equations\",\"authors\":\"Xuan Wang, S. Mou, Dengfeng Sun\",\"doi\":\"10.23919/ACC.2017.7963612\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In [2], a distributed algorithm has recently been developed for solving linear algebraic equations via multi-agent networks. To adopt the algorithm, each agent only has to know part of the linear equation as well as its nearby neighbors' estimates to the solution. In this paper, we would like to further discuss this algorithm from the following two perspectives. The first one is to improve the numerical stability of the algorithm and meanwhile eliminate initialization step that is necessary in [2]. The second one is to achieve a specific solution with minimum l2 norm when the linear equation has more than one solutions.\",\"PeriodicalId\":422926,\"journal\":{\"name\":\"2017 American Control Conference (ACC)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 American Control Conference (ACC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ACC.2017.7963612\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 American Control Conference (ACC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ACC.2017.7963612","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Further discussions on a distributed algorithm for solving linear algebra equations
In [2], a distributed algorithm has recently been developed for solving linear algebraic equations via multi-agent networks. To adopt the algorithm, each agent only has to know part of the linear equation as well as its nearby neighbors' estimates to the solution. In this paper, we would like to further discuss this algorithm from the following two perspectives. The first one is to improve the numerical stability of the algorithm and meanwhile eliminate initialization step that is necessary in [2]. The second one is to achieve a specific solution with minimum l2 norm when the linear equation has more than one solutions.