{"title":"成像技术中矩阵方程的重复解","authors":"I. Ciric","doi":"10.1109/ANTEM.1998.7861688","DOIUrl":null,"url":null,"abstract":"In various imaging procedures or in linear optimization it is necessary to solve large systems of linear algebraic equations with a few equations being changed many times. Once a complete solution of an n × n system is obtained by applying a classical Gaussian elimination method [1]-[4], for instance, the updated solution of the system, when its last equation is changed, requires 2n2 arithmetic operations for large systems.","PeriodicalId":334204,"journal":{"name":"1998 Symposium on Antenna Technology and Applied Electromagnetics","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On the repeated solution of matrix equations in imaging techniques\",\"authors\":\"I. Ciric\",\"doi\":\"10.1109/ANTEM.1998.7861688\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In various imaging procedures or in linear optimization it is necessary to solve large systems of linear algebraic equations with a few equations being changed many times. Once a complete solution of an n × n system is obtained by applying a classical Gaussian elimination method [1]-[4], for instance, the updated solution of the system, when its last equation is changed, requires 2n2 arithmetic operations for large systems.\",\"PeriodicalId\":334204,\"journal\":{\"name\":\"1998 Symposium on Antenna Technology and Applied Electromagnetics\",\"volume\":\"84 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1998 Symposium on Antenna Technology and Applied Electromagnetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANTEM.1998.7861688\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1998 Symposium on Antenna Technology and Applied Electromagnetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANTEM.1998.7861688","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On the repeated solution of matrix equations in imaging techniques
In various imaging procedures or in linear optimization it is necessary to solve large systems of linear algebraic equations with a few equations being changed many times. Once a complete solution of an n × n system is obtained by applying a classical Gaussian elimination method [1]-[4], for instance, the updated solution of the system, when its last equation is changed, requires 2n2 arithmetic operations for large systems.