{"title":"求解复杂对称线性方程的片面 PMQHSS 和双片面 PMQHSS 迭代法","authors":"Bei-Bei Li, Jing-Jing Cui, Zheng-Ge Huang, Xiao-Feng Xie","doi":"10.1007/s13226-024-00618-z","DOIUrl":null,"url":null,"abstract":"<p>By applying the lopsided technology to the preconditioned modified quasi-Hermitian and skew-Hermitian splitting (PMQHSS) iteration method, we construct a lopsided PMQHSS (LPMQHSS) iteration method for solving complex symmetric linear equations. We discuss the convergence properties of the LPMQHSS method. Specially, the convergence properties of the LPMQHSS method with <span>\\(V=T\\)</span> are established. In addition, we also give another new iteration method, referred to as double lopsided PMQHSS (DLPMQHSS) iteration method. The convergence conditions of the DLPMQHSS iteration method are analyzed. The proposed LPMQHSS and DLPMQHSS methods have faster convergence rates than the PMQHSS one. Numerical experiments are reported to illustrate the feasibility and effectiveness of the proposed methods.</p>","PeriodicalId":501427,"journal":{"name":"Indian Journal of Pure and Applied Mathematics","volume":"3 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Lopsided PMQHSS and double lopsided PMQHSS iteration methods for solving complex symmetric linear equations\",\"authors\":\"Bei-Bei Li, Jing-Jing Cui, Zheng-Ge Huang, Xiao-Feng Xie\",\"doi\":\"10.1007/s13226-024-00618-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>By applying the lopsided technology to the preconditioned modified quasi-Hermitian and skew-Hermitian splitting (PMQHSS) iteration method, we construct a lopsided PMQHSS (LPMQHSS) iteration method for solving complex symmetric linear equations. We discuss the convergence properties of the LPMQHSS method. Specially, the convergence properties of the LPMQHSS method with <span>\\\\(V=T\\\\)</span> are established. In addition, we also give another new iteration method, referred to as double lopsided PMQHSS (DLPMQHSS) iteration method. The convergence conditions of the DLPMQHSS iteration method are analyzed. The proposed LPMQHSS and DLPMQHSS methods have faster convergence rates than the PMQHSS one. Numerical experiments are reported to illustrate the feasibility and effectiveness of the proposed methods.</p>\",\"PeriodicalId\":501427,\"journal\":{\"name\":\"Indian Journal of Pure and Applied Mathematics\",\"volume\":\"3 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Indian Journal of Pure and Applied Mathematics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s13226-024-00618-z\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indian Journal of Pure and Applied Mathematics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s13226-024-00618-z","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Lopsided PMQHSS and double lopsided PMQHSS iteration methods for solving complex symmetric linear equations
By applying the lopsided technology to the preconditioned modified quasi-Hermitian and skew-Hermitian splitting (PMQHSS) iteration method, we construct a lopsided PMQHSS (LPMQHSS) iteration method for solving complex symmetric linear equations. We discuss the convergence properties of the LPMQHSS method. Specially, the convergence properties of the LPMQHSS method with \(V=T\) are established. In addition, we also give another new iteration method, referred to as double lopsided PMQHSS (DLPMQHSS) iteration method. The convergence conditions of the DLPMQHSS iteration method are analyzed. The proposed LPMQHSS and DLPMQHSS methods have faster convergence rates than the PMQHSS one. Numerical experiments are reported to illustrate the feasibility and effectiveness of the proposed methods.