Add to ORKGThe dissertation suggests a generalized version of Tikhonov regularization and analyzes its properties. The focus is on convergence rates theory and an extensive example for regularization with Poisson distributed data is given
For Tikhonov regularization of ill-posed nonlinear operator equations, convergence is studied in a H...
A Generalized Tikhonov Regularization Using Two Parameters Applied to Linear Inverse Ill-Posed Probl...
In the last decade l1-regularization became a powerful and popular tool for the regularization of In...
The dissertation suggests a generalized version of Tikhonov regularization and analyzes its properti...
summary:We give a derivation of an a-posteriori strategy for choosing the regularization parameter i...
In a recent paper an algorithm for large-scale Tikhonov regularization in standard form called GKB-F...
summary:We deal with a stochastic programming problem that can be inconsistent. To overcome the inco...
International audienceWe study a non-linear statistical inverse problem, where we observe the noisy ...
International audienceThe theory of spectral filtering is a remarkable tool to understand the statis...
The well-known approach to solve the ill-posed problem is Tikhonov regularization scheme. But, the a...
We present a discrepancy-based parameter choice and stopping rule for iterative algorithms performin...
Tikhonov regularization is one of the most popular approaches to solve discrete ill-posed problems w...
International audienceWe study the properties of a regularization method for inverse problems corrup...
In a recent paper an algorithm for large-scale Tikhonov regularization in standard form called GKB-F...
We investigate the recently introduced Tikhonov regularization filters with penalty terms having sem...
For Tikhonov regularization of ill-posed nonlinear operator equations, convergence is studied in a H...
A Generalized Tikhonov Regularization Using Two Parameters Applied to Linear Inverse Ill-Posed Probl...
In the last decade l1-regularization became a powerful and popular tool for the regularization of In...
The dissertation suggests a generalized version of Tikhonov regularization and analyzes its properti...
summary:We give a derivation of an a-posteriori strategy for choosing the regularization parameter i...
In a recent paper an algorithm for large-scale Tikhonov regularization in standard form called GKB-F...
summary:We deal with a stochastic programming problem that can be inconsistent. To overcome the inco...
International audienceWe study a non-linear statistical inverse problem, where we observe the noisy ...
International audienceThe theory of spectral filtering is a remarkable tool to understand the statis...
The well-known approach to solve the ill-posed problem is Tikhonov regularization scheme. But, the a...
We present a discrepancy-based parameter choice and stopping rule for iterative algorithms performin...
Tikhonov regularization is one of the most popular approaches to solve discrete ill-posed problems w...
International audienceWe study the properties of a regularization method for inverse problems corrup...
In a recent paper an algorithm for large-scale Tikhonov regularization in standard form called GKB-F...
We investigate the recently introduced Tikhonov regularization filters with penalty terms having sem...
For Tikhonov regularization of ill-posed nonlinear operator equations, convergence is studied in a H...
A Generalized Tikhonov Regularization Using Two Parameters Applied to Linear Inverse Ill-Posed Probl...
In the last decade l1-regularization became a powerful and popular tool for the regularization of In...