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Numerical Functional Analysis and Optimization Volume 20, 1999 - Issue 3-4
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Original Articles

A numerical method for solving nonlinear ill-posed problems

Alexander G. Ramm Department of Mathematics, Kansas State University, Manhattan, Kansas, 66506-2602, U.S.A. E-mail: [email protected]
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Alexandra B. Smirnova Department of Mathematics, Kansas State University, Manhattan, Kansas, 66506-2602, U.S.A. E-mail: [email protected]
Pages 317-332 | Published online: 15 May 2007

Citations (6)

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Read on this site (1)

Barbara Kaltenbacher. (2006) Toward Global Convergence for Strongly Nonlinear Ill-Posed Problems via a Regularizing Multilevel Approach. Numerical Functional Analysis and Optimization 27:5-6, pages 637-665.
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Articles from other publishers (5)

Suhua Yang, Xingjun Luo & Rong Zhang. (2023) Fast multilevel iteration methods for solving nonlinear ill-posed problems. Journal of Inverse and Ill-posed Problems 0:0.
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Alexander G. Ramm & Nguyen S. Hoang. 2011. Dynamical Systems Method and Applications. Dynamical Systems Method and Applications 525 535 .
B. Kaltenbacher. (2008) Convergence Rates of a Multilevel Method for the Regularization of Nonlinear Ill-Posed Problems. Journal of Integral Equations and Applications 20:2.
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Martin Burger & Barbara Kaltenbacher. (2006) Regularizing Newton--Kaczmarz Methods for Nonlinear Ill-Posed Problems. SIAM Journal on Numerical Analysis 44:1, pages 153-182.
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A.G Ramm. (2004) Dynamical systems method for solving operator equations. Communications in Nonlinear Science and Numerical Simulation 9:4, pages 383-402.
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