Add to ORKGThe Tikhonov-Phillips method is widely used for regularizing ill-posed problems due to the simplicity of its formulation as an optimization problem. The use of different penalizers in the functionals associated to the corresponding optimization problems has originated a few other methods which can be considered as "variants" of the traditional Tikhonov-Phillips method of order zero. Such is the case for instance of the Tikhonov-Phillips method of order one, the total variation regularization method, etc. The purpose of this article is twofold. First we study the problem of determining general sufficient conditions on the penalizers in generalized Tikhonov-Phillips functionals which guarantee existence and uniqueness of minimizers, in such a...
In this paper, we propose a new strategy for a priori choice of reg-ularization parameters in Tikhon...
. Discretizations of inverse problems lead to systems of linear equations with a highly ill-conditio...
In image formation, the observed images are usually blurred by optical instruments and/or transfer ...
During the last two decades several generalizations of the traditional Tikhonov-Phillips regularizat...
Several generalizations of the traditional Tikhonov-Phillips regularization method have been propose...
We consider the solution of ill-posed inverse problems using regularization with tolerances. In part...
Ill-posed problems arise in many areas of science and engineering. Their solutions, if they exist, a...
Ill-posed problems arise in many areas of science and engineering. Their solutions, if they exist, a...
Tikhonov regularization is a cornerstone technique in solving inverse problems with applications in ...
En este trabajo se desarrollan procedimientos que permiten plantear soluciones a problemas inversos ...
The problem of restoring a signal or image is often tantamount to approximating the solution of a li...
We consider regularized solutions of linear inverse ill-posed problems obtained with generalized Tik...
Ill-posed inverse problems arise in many fields of science and engineering. The ill-conditioning and...
Ill-posed inverse problems arise in many fields of science and engineering. The ill-conditioning and...
Ill-posed inverse problems arise in many fields of science and engineering. The ill-conditioning and...
In this paper, we propose a new strategy for a priori choice of reg-ularization parameters in Tikhon...
. Discretizations of inverse problems lead to systems of linear equations with a highly ill-conditio...
In image formation, the observed images are usually blurred by optical instruments and/or transfer ...
During the last two decades several generalizations of the traditional Tikhonov-Phillips regularizat...
Several generalizations of the traditional Tikhonov-Phillips regularization method have been propose...
We consider the solution of ill-posed inverse problems using regularization with tolerances. In part...
Ill-posed problems arise in many areas of science and engineering. Their solutions, if they exist, a...
Ill-posed problems arise in many areas of science and engineering. Their solutions, if they exist, a...
Tikhonov regularization is a cornerstone technique in solving inverse problems with applications in ...
En este trabajo se desarrollan procedimientos que permiten plantear soluciones a problemas inversos ...
The problem of restoring a signal or image is often tantamount to approximating the solution of a li...
We consider regularized solutions of linear inverse ill-posed problems obtained with generalized Tik...
Ill-posed inverse problems arise in many fields of science and engineering. The ill-conditioning and...
Ill-posed inverse problems arise in many fields of science and engineering. The ill-conditioning and...
Ill-posed inverse problems arise in many fields of science and engineering. The ill-conditioning and...
In this paper, we propose a new strategy for a priori choice of reg-ularization parameters in Tikhon...
. Discretizations of inverse problems lead to systems of linear equations with a highly ill-conditio...
In image formation, the observed images are usually blurred by optical instruments and/or transfer ...