A numerical method for solving nonlinear ill-posed problems-Reference-Cited by-同舟云学术

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A numerical method for solving nonlinear ill-posed problems

Published:1999-01 Issue:3-4 Volume:20 Page:317-332
ISSN:0163-0563
Container-title:Numerical Functional Analysis and Optimization
language:en
Short-container-title:Numerical Functional Analysis and Optimization

Author:

Ramm Alexander G.,Smirnova Alexandra B.

Publisher

Informa UK Limited

Subject

Control and Optimization,Computer Science Applications,Signal Processing,Analysis

Link

http://www.tandfonline.com/doi/pdf/10.1080/01630569908816894

Reference6 articles.

1. CONTINUOUS ANALOG OF THE GAUSS–NEWTON METHOD

2. Bakushinsky, A. B. and Goncharsky, A. V. 1989. “Iterative methods for solving ill-posed problems”. Moscow: Nauka.

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1. A Multiscale Projection Method for Solving Nonlinear Integral Equations Under the Lipschitz Condition;Journal of Computational Mathematics;2023-06

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3. References;Dynamical Systems Method and Applications;2012-01-10

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