Finite dimensional iteratively regularized Gauss–Newton type methods and application to an inverse problem of the wave tomography with incomplete data range
Author:
Affiliation:
1. Faculty of Physics and Mathematics, Mary State University, Yoshkar-Ola, Russia
2. Lyceum of Information Technologies “Infotech”, Yoshkar-Ola, Russia
Funder
Russian Foundation for Basic Research
Russian Ministry of Education and Science
Publisher
Informa UK Limited
Subject
Applied Mathematics,Computer Science Applications,General Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/17415977.2019.1628743
Reference16 articles.
1. Regularization Algorithms for Ill-Posed Problems
2. Approximate Solution of Operator Equations
3. A multi-grid method with a priori and a posteriori level choice for the regularization of nonlinear ill-posed problems
4. Convergence of projected iterative regularization methods for nonlinear problems with smooth solutions
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3. Projected finite dimensional iteratively regularized Gauss–Newton method with a posteriori stopping for the ionospheric radiotomography problem;Inverse Problems in Science and Engineering;2021-04-29
4. Finite-dimensional iteratively regularized processes with an a posteriori stopping for solving irregular nonlinear operator equations;Journal of Inverse and Ill-posed Problems;2020-10-09
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