We develop a general convergence analysis for a class of inexact Newton-type regularizations for stably solving nonlinear ill-posed problems. Each of the methods under consideration consists of two components: the outer Newton iteration and an inner regularization scheme which, applied to the linearized system, provides the update. In this paper we give a novel and unified convergence analysis which is not confined to a specific inner regularization scheme but applies to a multitude of schemes including Landweber and steepest decent iterations, iterated Tikhonov method, and method of conjugate gradients
An implicit a posteriori error estimation technique is presented and analyzed for the numerical solu...
In this paper we present a posteriori error estimates, and stability estimates for the time-dependen...
International audienceFor the finite volume discretization of a second-order elliptic model problem,...
We develop a general convergence analysis for a class of inexact Newton-type regularizations for sta...
We propose a new residual-based a posteriori error estimator for discontinuous Galerkin discretizati...
In the first part, an efficient and reliable a posteriori error estimate is derived for solving thre...
We consider an implicit a posteriori error estimation technique for the adaptive solution of the Max...
A posteriori error estimates in each subdomain of a finite element tessellation provide the main ing...
International audienceWe consider residual-based {\it a posteriori} error estimators for Galerkin di...
International audienceThis paper is devoted to the derivation of an a posteriori residual-based erro...
International audienceIn this paper, an a posteriori residual error estimator is proposed for the A/...
This thesis deals with the development and analysis of a discretization method and the error contro...
A unified framework for a residual-based a posteriori error analysis of standard conforming finite e...
Cette thèse porte sur le développement d’estimateurs d'erreur a posteriori pour la résolution numéri...
International audienceIn this work we extend our recently proposed adaptive refinement strategy for ...
An implicit a posteriori error estimation technique is presented and analyzed for the numerical solu...
In this paper we present a posteriori error estimates, and stability estimates for the time-dependen...
International audienceFor the finite volume discretization of a second-order elliptic model problem,...
We develop a general convergence analysis for a class of inexact Newton-type regularizations for sta...
We propose a new residual-based a posteriori error estimator for discontinuous Galerkin discretizati...
In the first part, an efficient and reliable a posteriori error estimate is derived for solving thre...
We consider an implicit a posteriori error estimation technique for the adaptive solution of the Max...
A posteriori error estimates in each subdomain of a finite element tessellation provide the main ing...
International audienceWe consider residual-based {\it a posteriori} error estimators for Galerkin di...
International audienceThis paper is devoted to the derivation of an a posteriori residual-based erro...
International audienceIn this paper, an a posteriori residual error estimator is proposed for the A/...
This thesis deals with the development and analysis of a discretization method and the error contro...
A unified framework for a residual-based a posteriori error analysis of standard conforming finite e...
Cette thèse porte sur le développement d’estimateurs d'erreur a posteriori pour la résolution numéri...
International audienceIn this work we extend our recently proposed adaptive refinement strategy for ...
An implicit a posteriori error estimation technique is presented and analyzed for the numerical solu...
In this paper we present a posteriori error estimates, and stability estimates for the time-dependen...
International audienceFor the finite volume discretization of a second-order elliptic model problem,...