A Restarted Conjugate Gradient Method for Ill-posed Problems

被引：4
|
作者：
Yan-fei Wang
机构：
[1] Chinese Academy of Sciences,Laboratory of Remote Sensing Information Sciences, Institute of Remote Sensing Applications
[2] Chinese Academy of Sciences,State Key Laboratory of Scientific and Engineering Computing, Institute of Computational Mathematics and Scientific/Engineering computing
来源：
Acta Mathematicae Applicatae Sinica | 2003年 / 19卷 / 1期
关键词：
Ill-posed problems; restarted CG; damped discrepancy principle; 65J15; 65J20; 65R30;
D O I：
10.1007/s10255-003-0078-2
中图分类号：
学科分类号：
摘要：
This paper presents a restarted conjugate gradient iterative algorithm for solving ill-posed problems. The damped Morozov's discrepancy principle is used as a stopping rule. Numerical experiments are given to illustrate the efficiency of the method.
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页码：31 / 40
页数：9
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