Convergence rates for the iteratively regularized Gauss–Newton method in Banach spaces
- 19 February 2010
- journal article
- Published by IOP Publishing in Inverse Problems
Abstract
No abstract availableKeywords
This publication has 21 references indexed in Scilit:
- Approximate source conditions for nonlinear ill-posed problems—chances and limitationsInverse Problems, 2009
- Minimization of Tikhonov Functionals in Banach SpacesAbstract and Applied Analysis, 2008
- Approximate source conditions in Tikhonov–Phillips regularization and consequences for inverse problems with multiplication operatorsMathematical Methods in the Applied Sciences, 2005
- Convergence rates of convex variational regularizationInverse Problems, 2004
- Iterative Methods for Approximate Solution of Inverse ProblemsPublished by Springer Science and Business Media LLC ,2004
- A regularizing Levenberg - Marquardt scheme, with applications to inverse groundwater filtration problemsInverse Problems, 1997
- Regularization of Inverse ProblemsPublished by Springer Science and Business Media LLC ,1996
- A convergence analysis of the Landweber iteration for nonlinear ill-posed problemsNumerische Mathematik, 1995
- Convergence rates for Tikhonov regularisation of non-linear ill-posed problemsInverse Problems, 1989
- On the uniform convexity of Lp and lpArkiv för Matematik, 1956