Convergence analysis of simplified iteratively regularized Gauss–Newton method in a Banach space setting
DOI10.1080/00036811.2017.1386785zbMath1490.65113OpenAlexW2765563894MaRDI QIDQ4689883
Sharad Kumar Dixit, Pallavi Mahale
Publication date: 22 October 2018
Published in: Applicable Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00036811.2017.1386785
source conditionsiterative regularization methodsnonlinear ill-posed operator equationsstopping indexnonlinear operators on Banach spaces
Iterative procedures involving nonlinear operators (47J25) Nonlinear ill-posed problems (47J06) Numerical solutions to equations with nonlinear operators (65J15) Numerical solution to inverse problems in abstract spaces (65J22)
Related Items (6)
Cites Work
- Unnamed Item
- Iterative regularization methods for nonlinear ill-posed problems
- On the discrepancy principle for some Newton type methods for solving nonlinear inverse problems
- A posteriori parameter choice strategies for some Newton type methods for the regularization of nonlinear ill-posed problems
- The problem of the convergence of the iteratively regularized Gauss- Newton method
- A convergence analysis of the Landweber iteration for nonlinear ill-posed problems
- Iteratively regularized Newton-type methods for general data misfit functionals and applications to Poisson data
- On the iteratively regularized Gauss-Newton method in Banach spaces with applications to parameter identification problems
- Optimization theory and methods. Nonlinear programming
- A simplified generalized Gauss-Newton method for nonlinear ill-posed problems
- On a class of frozen regularized Gauss-Newton methods for nonlinear inverse problems
- Convergence rates for the iteratively regularized Gauss–Newton method in Banach spaces
- On convergence rates for the iteratively regularized Gauss-newton method
- Logarithmic convergence rates of the iteratively regularized Gauss - Newton method for an inverse potential and an inverse scattering problem
- On the iteratively regularized Gauss-Newton method for solving nonlinear ill-posed problems
- A convergence rates result for Tikhonov regularization in Banach spaces with non-smooth operators
- Convergence analysis of an inexact iteratively regularized Gauss-Newton method under general source conditions
This page was built for publication: Convergence analysis of simplified iteratively regularized Gauss–Newton method in a Banach space setting