In this paper, we investigate the continuous version of modified iterative Runge–Kutta-type methods for nonlinear inverse ill-posed problems proposed in a previous work. The convergence analysis is proved under the tangential cone condition, a modified discrepancy principle, i.e., the stopping time T is a solution of ∥ F ( x δ ( T ) ) − y δ ∥ = τ δ + for some δ + > δ , and an appropriate source condition. We yield the optimal rate of convergence
Abstract : The theory of solving linear and nonlinear ill-posed problems is advanced greatly today (...
International audienceIn this work, we show that the regularization methods based on filter function...
Inexact Newton regularization methods have been proposed by Hanke and Rieder for solving nonlinear i...
We consider a regularized Levenberg-Marquardt method for solving nonlinear ill-posed inverse problem...
In this paper we analyze two regularization methods for nonlinear ill-posed problems. The first is a...
In this paper we consider the iteratively regularized Gauss-Newton method for solving nonlinear ill-...
Abstract. The iteratively regularized Gauss-Newton method is applied to compute the stable solutions...
In this paper, we introduce a derivative-free, iterative method for solving nonlinear ill-posed prob...
In this paper we propose a heuristic stopping rule of Hanke–Raus type for the regularization of line...
Abstract In the recent past the authors, with collaborators, have published convergence rate results...
We prove the logarithmic convergence rate of the families of usual and modified iterative Runge–Kutt...
summary:We give a derivation of an a-posteriori strategy for choosing the regularization parameter i...
Capítulo del libro "Iterative Methods and Their Dynamics with Applications: A Contemporary Study"In ...
We consider an iterated form of Lavrentiev regularization, using a null sequence $(\alpha_k)$ of pos...
Ill-posed inverse problems arise in many fields of science and engineering. The ill-conditioning and...
Abstract : The theory of solving linear and nonlinear ill-posed problems is advanced greatly today (...
International audienceIn this work, we show that the regularization methods based on filter function...
Inexact Newton regularization methods have been proposed by Hanke and Rieder for solving nonlinear i...
We consider a regularized Levenberg-Marquardt method for solving nonlinear ill-posed inverse problem...
In this paper we analyze two regularization methods for nonlinear ill-posed problems. The first is a...
In this paper we consider the iteratively regularized Gauss-Newton method for solving nonlinear ill-...
Abstract. The iteratively regularized Gauss-Newton method is applied to compute the stable solutions...
In this paper, we introduce a derivative-free, iterative method for solving nonlinear ill-posed prob...
In this paper we propose a heuristic stopping rule of Hanke–Raus type for the regularization of line...
Abstract In the recent past the authors, with collaborators, have published convergence rate results...
We prove the logarithmic convergence rate of the families of usual and modified iterative Runge–Kutt...
summary:We give a derivation of an a-posteriori strategy for choosing the regularization parameter i...
Capítulo del libro "Iterative Methods and Their Dynamics with Applications: A Contemporary Study"In ...
We consider an iterated form of Lavrentiev regularization, using a null sequence $(\alpha_k)$ of pos...
Ill-posed inverse problems arise in many fields of science and engineering. The ill-conditioning and...
Abstract : The theory of solving linear and nonlinear ill-posed problems is advanced greatly today (...
International audienceIn this work, we show that the regularization methods based on filter function...
Inexact Newton regularization methods have been proposed by Hanke and Rieder for solving nonlinear i...