{"title":"复杂对称矩阵线性方程的SCBiCG方法的变型实现","authors":"Kuniyoshi Abe, S. Fujino","doi":"10.1109/SYNASC.2015.27","DOIUrl":null,"url":null,"abstract":"SCBiCG (Bi-Conjugate Gradient method for Symmetric Complex matrices) has been proposed for solving linear equations with complex symmetric matrices, where coefficients ci need to be set by users in SCBiCG. We have had the numerical results that the residual norms of SCBiCG do not converge when the coefficients ci are real. We therefore design an efficient implementation such that the coefficients ci which are complex are given by a computation. Numerical experiments show that the residual norms of our proposed variant with the complex coefficients ci converge slightly faster than those of COCG (Conjugate Orthogonal Conjugate Gradient method) and some implementations of SCBiCG.","PeriodicalId":6488,"journal":{"name":"2015 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)","volume":"165 1","pages":"117-120"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Variant Implementations of SCBiCG Method for Linear Equations with Complex Symmetric Matrices\",\"authors\":\"Kuniyoshi Abe, S. Fujino\",\"doi\":\"10.1109/SYNASC.2015.27\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"SCBiCG (Bi-Conjugate Gradient method for Symmetric Complex matrices) has been proposed for solving linear equations with complex symmetric matrices, where coefficients ci need to be set by users in SCBiCG. We have had the numerical results that the residual norms of SCBiCG do not converge when the coefficients ci are real. We therefore design an efficient implementation such that the coefficients ci which are complex are given by a computation. Numerical experiments show that the residual norms of our proposed variant with the complex coefficients ci converge slightly faster than those of COCG (Conjugate Orthogonal Conjugate Gradient method) and some implementations of SCBiCG.\",\"PeriodicalId\":6488,\"journal\":{\"name\":\"2015 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)\",\"volume\":\"165 1\",\"pages\":\"117-120\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SYNASC.2015.27\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SYNASC.2015.27","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
对称复矩阵的双共轭梯度法(Bi-Conjugate Gradient method for Symmetric Complex matrices, SCBiCG)用于求解具有复杂对称矩阵的线性方程,其中系数ci需要由用户在SCBiCG中设置。数值结果表明,当系数ci为实数时,SCBiCG的残差范数不收敛。因此,我们设计了一个有效的实现,使得复系数ci可以通过计算得到。数值实验表明,该方法的残差范数收敛速度略快于共轭正交共轭梯度法和SCBiCG的一些实现。
Variant Implementations of SCBiCG Method for Linear Equations with Complex Symmetric Matrices
SCBiCG (Bi-Conjugate Gradient method for Symmetric Complex matrices) has been proposed for solving linear equations with complex symmetric matrices, where coefficients ci need to be set by users in SCBiCG. We have had the numerical results that the residual norms of SCBiCG do not converge when the coefficients ci are real. We therefore design an efficient implementation such that the coefficients ci which are complex are given by a computation. Numerical experiments show that the residual norms of our proposed variant with the complex coefficients ci converge slightly faster than those of COCG (Conjugate Orthogonal Conjugate Gradient method) and some implementations of SCBiCG.