A class of regularization methods for ill-posed problems with nonexact data
作者:
Teresa Regińska,
期刊:
Numerical Functional Analysis and Optimization
(Taylor Available online 1992)
卷期:
Volume 13,
issue 5-6
页码: 601-614
ISSN:0163-0563
年代: 1992
DOI:10.1080/01630569208816502
出版商: Marcel Dekker, Inc.
数据来源: Taylor
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.Aposteriori choice of a method parametern(δ) depending on the error of data is based on the value of the residuum. The convergence of approximate solution when δ → 0 is investigated and the parametern(δ) is estimated. The simple iteration method is considered in more detail.
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