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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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