A study of frozen iteratively regularized Gauss-Newton algorithm for nonlinear ill-posed problems under generalized normal solvability condition
type: Item
instance of: scholarly article
title: A study of frozen iteratively regularized Gauss-Newton algorithm for nonlinear ill-posed problems under generalized normal solvability condition
zbMATH Open document ID: 1433.65106
publication date: 2020-04-09T00:00:00Z
Mathematics Subject Classification ID: 65J22
Mathematics Subject Classification ID: 35R25
Mathematics Subject Classification ID: 47J06
Mathematics Subject Classification ID: 65F22
zbMATH DE Number: 7189029
zbMATH Keywords: regularization
zbMATH Keywords: ill-posed problems
zbMATH Keywords: parameter estimation in epidemiology
author: A. B. Bakushinskii
author: Alexandra Smirnova
MaRDI profile type: Publication
full work available at URL: jiip-2019-0099
OpenAlex ID: W3006053133
cites work: Iteratively regularized Gauss-Newton method for operator equations with normally solvable derivative at the solution
cites work: Iterative methods for ill-posed problems. An introduction.
cites work: On convergence rates for the iteratively regularized Gauss-newton method
cites work: Iterative Solution Methods
cites work: Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy
cites work: Q4895893
cites work: Convergence rates for Tikhonov regularisation of non-linear ill-posed problems
cites work: A convergence analysis of the Landweber iteration for nonlinear ill-posed problems
cites work: On a class of frozen regularized Gauss-Newton methods for nonlinear inverse problems
cites work: Some Newton-type methods for the regularization of nonlinear ill-posed problems
cites work: Convergence of projected iterative regularization methods for nonlinear problems with smooth solutions
cites work: Iterative regularization methods for nonlinear ill-posed problems
cites work: Iteratively regularized methods for irregular nonlinear operator equations with a normally solvable derivative at the solution
cites work: Convergence analysis of simplified iteratively regularized Gauss–Newton method in a Banach space setting
cites work: A simplified generalized Gauss-Newton method for nonlinear ill-posed problems
cites work: Some generalizations for Landweber iteration for nonlinear ill-posed problems in Hilbert scales
cites work: Numerical Optimization
cites work: On convergence rates for iteratively regularized procedures with linear penalty terms
cites work: Convergence and application of a modified iteratively regularized Gauss–Newton algorithm
cites work: Q4850052
cites work: Ill-posed problems with a priori information
cites work: Q3723609
DOI: 10.1515/JIIP-2019-0099
published in: Journal of Inverse and Ill-posed Problems
description: scientific article; zbMATH DE number 7189029