A CLASS OF REGULARIZATION METHODS FOR ILL-POSED PROBLEMS WITH NONEXACT DATA

被引：1

作者：

REGINSKA, T ^{[1
]}

机构：

[1] POLISH ACAD SCI,INST MATH,PL-00950 WARSAW,POLAND

来源：

NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION | 1992年 / 13卷 / 5-6期

关键词：

D O I：

10.1080/01630569208816502

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

The paper deals with approximate methods for solving ill-posed problems with nonselfadjoint bounded linear operators acting in a Hilbert space. The case of nonexact right hand side is considered. A posteriori choice of a method parameter n(delta) depending on the error of data is based on the value of the residuum. The convergence of approximate solution when delta --> 0 is investigated and the parameter n(delta) is estimated. The simple iteration method is considered in more detail.

引用

页码：601 / 614

页数：14