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ISRN Applied Mathematics
Article . 2012 . Peer-reviewed
License: CC BY
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ISRN Applied Mathematics
Article
License: CC BY
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Article . 2012
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Two-Step Modified Newton Method for Nonlinear Lavrentiev Regularization

Two-step modified Newton method for nonlinear Lavrentiev regularization
Authors: George, Santhosh; Pareth, Suresan;

Two-Step Modified Newton Method for Nonlinear Lavrentiev Regularization

Abstract

A two step modified Newton method is considered for obtaining an approximate solution for the nonlinear ill-posed equation F(x)=f when the available data are fδ with ‖f−fδ‖≤δ and the operator F is monotone. The derived error estimate under a general source condition on x0−x^ is of optimal order; here x0 is the initial guess and x^ is the actual solution. The regularization parameter is chosen according to the adaptive method considered by Perverzev and Schock (2005). The computational results provided endorse the reliability and effectiveness of our method.

Keywords

Numerical solutions of ill-posed problems in abstract spaces; regularization, Numerical computation of solutions to systems of equations

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
gold