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http://dx.doi.org/10.14317/jami.2011.29.3_4.909

A NEWTON-IMPLICIT ITERATIVE METHOD FOR NONLINEAR INVERSE PROBLEMS  

Meng, Zehong (School of Mathematics and Statistics,Zhejiang University of Finance and Economics)
Zhao, Zhenyu (College of Science, Guangdong Ocean University)
Publication Information
Journal of applied mathematics & informatics / v.29, no.3_4, 2011 , pp. 909-920 More about this Journal
Abstract
A regularized Newton method for nonlinear ill-posed problems is considered. In each Newton step an implicit iterative method with an appropriate stopping rule is proposed and analyzed. Under certain assumptions on the nonlinear operator, the convergence of the algorithm is proved and the algorithm is stable if the discrepancy principle is used to terminate the outer iteration. Numerical experiment shows the effectiveness of the method.
Keywords
nonlinear ill-posed problems; regularized Newton method; implicit iterative method; convergence;
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