A discrete scheme of Landweber iteration for solving nonlinear ill-posed problems
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Publication:5927560
DOI10.1006/jmaa.2000.7090zbMath0992.47032OpenAlexW1967525494MaRDI QIDQ5927560
Publication date: 4 September 2002
Published in: Journal of Mathematical Analysis and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1006/jmaa.2000.7090
Related Items (10)
A simplified iteratively regularized projection method for nonlinear ill-posed problems ⋮ A Modified Minimal Error Method for Solving Nonlinear Integral Equations via Multiscale Galerkin Methods ⋮ An efficient discrete Landweber iteration for nonlinear problems ⋮ A Discretizing Levenberg-Marquardt Scheme for Solving Nonlinear Ill-Posed Integral Equations ⋮ Dual gradient method for ill-posed problems using multiple repeated measurement data ⋮ Penalized estimators for non linear inverse problems ⋮ Levenberg-Marquardt method with general convex penalty for nonlinear inverse problems ⋮ A projected Bouligand–Landweber iteration for non-smooth ill-posed problems ⋮ Regularization methods for identifying the initial value of time fractional pseudo-parabolic equation ⋮ Three regularization methods for identifying the initial value of time fractional advection-dispersion equation
Cites Work
- Unnamed Item
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- On the regularization of projection methods for solving ill-posed problems
- Lectures on the finite element method. Notes by S. Kesavan, Akhil Ranjan, M. Vanninathan
- An iterative multi level algorithm for solving nonlinear ill-posed problems
- On an a posteriori parameter choice strategy for Tikhonov regularization of nonlinear ill-posed problems
- A convergence analysis of the Landweber iteration for nonlinear ill-posed problems
- Well posedness and convergence of some regularisation methods for non-linear ill posed problems
- Finite-dimensional approximation of tikhonov regularized solutions of non-linear ill-posed problems
- Convergence rates for Tikhonov regularisation of non-linear ill-posed problems
- Applications of the Modified Discrepancy Principle to Tikhonov Regularization of Nonlinear Ill-Posed Problems
- Optimal a Posteriori Parameter Choice for Tikhonov Regularization for Solving Nonlinear Ill-Posed Problems
- On pseudo—optimal parameter choices and stopping rules for regularization methods in banach spaces∗
- An Iteration Formula for Fredholm Integral Equations of the First Kind
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