首页 | 本学科首页   官方微博 | 高级检索  
     检索      

解线性代数方程组的TCG迭代法
引用本文:陈创飞.解线性代数方程组的TCG迭代法[J].计算物理,1986,3(2):194-206.
作者姓名:陈创飞
作者单位:北京应用物理与计算数学研究所
摘    要:ICCG方法是解线性代数方程组较为理想的方法,但它仅适用于具有正定对称的系数阵。本文介绍的TCG方法便足改造过的ICCG方法,它适用于一般非奇异的非正定对称阵。TCG方法比常用的JLUCG方法,对于非定常问题,可提高效率18%,特别是取用SIP不完全L、U分解作预条件时,可提高效率40%,是计算非正定对称阵较为理想的迭代法之一。本文推导出在消去法不完全L,U分解下的TCG方法,并用数值结果论证出它比ILUCG方法加速收敛的所在。

收稿时间:1985-12-03

TCG ITERATIVE METHOD FOR SOLVING SYSTEM OF LINEAR ALGEBRAIC EQUATIONS
Chen Tzang-fei.TCG ITERATIVE METHOD FOR SOLVING SYSTEM OF LINEAR ALGEBRAIC EQUATIONS[J].Chinese Journal of Computational Physics,1986,3(2):194-206.
Authors:Chen Tzang-fei
Institution:Institute of Applied Physics and Computational Mathematics. Peijing
Abstract:The method ICCG. is one of the best iterative method for solving the system of linear algebraic equations, but it can only be applied to the symmetric and positive definite coefficient matrix. The TCG method itroduced in this paper is a modified ICCG mothod. It can be applied to the matrices which are non-singular、unsymmetric and not positive definite. For the unsteady problem this method can raise the efficiency by 18 percent as compared with tie ILU.CG method. In particular if we take the SIP incomplete L、U decomposition as the preconditioned method, TCG method can raise the efficiency by 40 percent. It is indeed a bast iterative method applied to the matrices which are unsymmetric and not positive definite. In this paper we deduce the TCG method with the elimination method as the incomplete L、U decomposition and use the computational results to indicate the reason why the TCG method converges more quickly than ILUCG method.
Keywords:
点击此处可从《计算物理》浏览原始摘要信息
点击此处可从《计算物理》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号