{"title":"求解不定最小二乘问题的交替方向隐式迭代法","authors":"Lingsheng Meng, Peizhe Li, Kailiang Xin","doi":"10.1016/j.aml.2025.109677","DOIUrl":null,"url":null,"abstract":"<div><div>To solve the indefinite least squares problem, first we propose the generalized splitting iterative method, which is unconditionally convergent. Further, to accelerate the generalized splitting iterative method, we propose the alternating direction implicit iterative method, which needs to satisfy condition to guarantee convergence. Numerical experiments show that the alternating direction implicit iterative method outperforms the current methods in terms of CPU time and number of iteration steps.</div></div>","PeriodicalId":55497,"journal":{"name":"Applied Mathematics Letters","volume":"171 ","pages":"Article 109677"},"PeriodicalIF":2.8000,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Alternating direction implicit iterative method for solving indefinite least squares problem\",\"authors\":\"Lingsheng Meng, Peizhe Li, Kailiang Xin\",\"doi\":\"10.1016/j.aml.2025.109677\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>To solve the indefinite least squares problem, first we propose the generalized splitting iterative method, which is unconditionally convergent. Further, to accelerate the generalized splitting iterative method, we propose the alternating direction implicit iterative method, which needs to satisfy condition to guarantee convergence. Numerical experiments show that the alternating direction implicit iterative method outperforms the current methods in terms of CPU time and number of iteration steps.</div></div>\",\"PeriodicalId\":55497,\"journal\":{\"name\":\"Applied Mathematics Letters\",\"volume\":\"171 \",\"pages\":\"Article 109677\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2025-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Mathematics Letters\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0893965925002277\",\"RegionNum\":2,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Mathematics Letters","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0893965925002277","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
Alternating direction implicit iterative method for solving indefinite least squares problem
To solve the indefinite least squares problem, first we propose the generalized splitting iterative method, which is unconditionally convergent. Further, to accelerate the generalized splitting iterative method, we propose the alternating direction implicit iterative method, which needs to satisfy condition to guarantee convergence. Numerical experiments show that the alternating direction implicit iterative method outperforms the current methods in terms of CPU time and number of iteration steps.
期刊介绍:
The purpose of Applied Mathematics Letters is to provide a means of rapid publication for important but brief applied mathematical papers. The brief descriptions of any work involving a novel application or utilization of mathematics, or a development in the methodology of applied mathematics is a potential contribution for this journal. This journal''s focus is on applied mathematics topics based on differential equations and linear algebra. Priority will be given to submissions that are likely to appeal to a wide audience.