Heuristic rule for inexact Newton-Landweber iteration with convex penalty terms of nonlinear: ill-posed problems

Cites Work

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On the order optimality of the regularization via inexact Newton iterations
Regularization methods in Banach spaces.
Towards a general convergence theory for inexact Newton regularizations
Nonsmooth analysis
Iterative regularization methods for nonlinear ill-posed problems
On the convergence of the quasioptimality criterion for (iterated) Tikhonov regularization
A convergence analysis of the Landweber iteration for nonlinear ill-posed problems
Inexact Newton regularization in Banach spaces based on two-point gradient method with uniformly convex penalty terms
Bouligand-Landweber iteration for a non-smooth ill-posed problem
Regularization of inverse problems by two-point gradient methods in Banach spaces
On a heuristic stopping rule for the regularization of inverse problems by the augmented Lagrangian method
Error estimates for the iteratively regularized Newton-Landweber method in Banach spaces under approximate source conditions
Hanke-Raus heuristic rule for variational regularization in Banach spaces
Landweber iteration of Kaczmarz type with general non-smooth convex penalty functionals
Inexact Newton–Landweber iteration for solving nonlinear inverse problems in Banach spaces
A Semismooth Newton Method for Nonlinear Parameter Identification Problems with Impulsive Noise
Iterative regularization with a general penalty term—theory and application to L ¹ and TV regularization
Inexact Newton--Landweber Iteration in Banach Spaces with NonSmooth Convex Penalty Terms
Iterative methods for nonlinear ill-posed problems in Banach spaces: convergence and applications to parameter identification problems
Remarks on choosing a regularization parameter using the quasi-optimality and ratio criterion
On the regularization of nonlinear ill-posed problems via inexact Newton iterations
The Use of the L-Curve in the Regularization of Discrete Ill-Posed Problems
Regularizing properties of a truncated newton-cg algorithm for nonlinear inverse problems
Analysis of the iteratively regularized Gauss–Newton method under a heuristic rule
Heuristic rule for non-stationary iterated Tikhonov regularization in Banach spaces
A General Heuristic for Choosing the Regularization Parameter in Ill-Posed Problems
Convergence rates for an iteratively regularized Newton–Landweber iteration in Banach space
Sparsity regularization for parameter identification problems
Generalized inexact Newton regularization for nonlinear ill-posed problems in Banach spaces
A Kaczmarz Version of the REGINN-Landweber Iteration for Ill-Posed Problems in Banach Spaces
Inexact Newton Regularization Using Conjugate Gradients as Inner Iteration
Analysis of a generalized regularized Gauss–Newton method under heuristic rule in Banach spaces
On convergence rates of inexact Newton regularizations

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