{"title":"用理查德森方法求解线性系统","authors":"W. Frank","doi":"10.1145/612201.612283","DOIUrl":null,"url":null,"abstract":"where the problem to be solved is Ax = d and r k = d Ax k. The mechanization of this method suffers from three deficiencies: a) It requires, at the outset, the generation of the ~k'S, k = 0, i, °.. N where N is sufficiently large so as to insure convergence upon the calculation of XN+ I. b) It is an unstable numerical process in that a loss of significant figures prevents convergence when N gets moderately large. c) It requires bounds on the smallest and largest eigenvalue of the matrix A. A modification of this method has been suggested by Do Young and is also described in 0]where a three term recurrence relation supplants equation (1) so as to obtain:","PeriodicalId":109454,"journal":{"name":"ACM '59","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1959-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"The solution of linear systems by Richardson's method\",\"authors\":\"W. Frank\",\"doi\":\"10.1145/612201.612283\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"where the problem to be solved is Ax = d and r k = d Ax k. The mechanization of this method suffers from three deficiencies: a) It requires, at the outset, the generation of the ~k'S, k = 0, i, °.. N where N is sufficiently large so as to insure convergence upon the calculation of XN+ I. b) It is an unstable numerical process in that a loss of significant figures prevents convergence when N gets moderately large. c) It requires bounds on the smallest and largest eigenvalue of the matrix A. A modification of this method has been suggested by Do Young and is also described in 0]where a three term recurrence relation supplants equation (1) so as to obtain:\",\"PeriodicalId\":109454,\"journal\":{\"name\":\"ACM '59\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1959-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM '59\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/612201.612283\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM '59","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/612201.612283","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
摘要
其中待解的问题为Ax = d, r k = d Ax k。这种方法的机械化有三个缺陷:a)它要求在开始时生成~k, k = 0, i,°…N,当N足够大时,保证计算XN+ i时收敛。b)这是一个不稳定的数值过程,当N达到中等大时,有效数字的损失阻碍了收敛。c)要求矩阵A的最小和最大特征值有界。Do Young提出了对该方法的一种修改,在0]中也有描述,其中用一个三项递归关系代替式(1),得到:
The solution of linear systems by Richardson's method
where the problem to be solved is Ax = d and r k = d Ax k. The mechanization of this method suffers from three deficiencies: a) It requires, at the outset, the generation of the ~k'S, k = 0, i, °.. N where N is sufficiently large so as to insure convergence upon the calculation of XN+ I. b) It is an unstable numerical process in that a loss of significant figures prevents convergence when N gets moderately large. c) It requires bounds on the smallest and largest eigenvalue of the matrix A. A modification of this method has been suggested by Do Young and is also described in 0]where a three term recurrence relation supplants equation (1) so as to obtain: