Convergence rate estimates for an iteratively regularized gradient method with an a-posteriori stopping rule

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Authors: Mikhail Mikhailovich Kokurin
Cited by: 0
References: 9

Abstract

We study an iteratively regularized gradient method with an a-posteriori stopping rule for solving nonlinear irregular operator equations in Hilbert spaces. An accuracy estimate in terms of the error level of input data for this method is established. We assume that the desired solution satisfies a sourcewise condition, and we use no structural conditions on the operator of the problem.

Fields of Study & Subjects

Numerical methods in inverse problems Optimization and Variational Analysis Iterative Methods for Nonlinear Equations

Publication details

Journal / source
Russian Mathematics
Issue
2
Pages
38–48
Publication date
10 March 2026
Language
EN