An improved model function method for choosing regularization parameters in linear inverse problems

Inverse Problems

Volumn 18, Issue 3, 2002, Pages 631-643

  Xie, Jianli ^a   Zou, Jun ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; CONVERGENCE OF NUMERICAL METHODS; INTEGRATION; ITERATIVE METHODS; LEAST SQUARES APPROXIMATIONS; PROBLEM SOLVING;

ELLIPTIC INVERSE PROBLEMS;

INVERSE PROBLEMS;

EID: 0036608496     PISSN: 02665611     EISSN: None     Source Type: Journal    
DOI: 10.1088/0266-5611/18/3/307     Document Type: Article

References (13)

1. One new strategy for a priori choice of regularizing parameters in Tikhonov's regularization
2. A convergence rates for Tikhonov regularization of nonlinear ill-posed problems
3. A new approach to convergence rate analysis of Tikhonov regularization for parameter identification in heat conduction
4. Analysis of discrete ill-posed problems by means of the L-curve
5. On the choice of the regularization parameters in nonlinear inverse problems
6. On a class of damped Morozov principles
7. Iterative choices of regularization parameters in linear inverse problems