En este trabajo se desarrollan procedimientos que permiten plantear soluciones a problemas inversos mal condicionados de tipo dinámico, que usando regularización de Tikhonov-Phillips y estrategias de análisis de estabilidad conducen a soluciones razonables y satisfactorias. Para ello se estudiaron las propiedades regularizantes del método de Tikhonov clásico y sus limitaciones en el caso dinámico. Además de analizar el impacto de la estrategia Tikhonov-Phillips en el estudio de problemas inversos de tipo dinámico se hizo especial énfasis en sus propiedades regularizantes y en la selección de los dos parámetros espacial y temporal de regularización / Abstract: In this work some procedures to solve Ill Posed Inverse Problems by using Tikhono...
We consider linear inverse problems with a two norm regularization, called Tikhonov regularization. ...
Typical inverse problems are ill-posed which frequently leads to difficulties in calculatingnumerica...
discrepancy principles for a class of regularization methods for solving ill-posed problems M.T. NAI...
In this paper, we propose a new strategy for a priori choice of reg-ularization parameters in Tikhon...
summary:We give a derivation of an a-posteriori strategy for choosing the regularization parameter i...
The Tikhonov-Phillips method is widely used for regularizing ill-posed problems due to the simplicit...
Esta Tesis abarca el estudio de métodos de regularización para problemas inversos mal condicionados ...
Abstract. We investigate continuous regularization methods for linear inverse problems of static and...
Ill-posed inverse problems arise in many fields of science and engineering. The ill-conditioning and...
A Generalized Tikhonov Regularization Using Two Parameters Applied to Linear Inverse Ill-Posed Probl...
University of Minnesota Ph.D. dissertation. March 2011. Advisor:Prof. Fadil Santosa. Major: Mathemat...
In this chapter we present the basic concepts of numerical regularization theory. We analyze direct ...
Tikhonov regularization is a cornerstone technique in solving inverse problems with applications in ...
Published in at http://dx.doi.org/10.1214/07-EJS115 the Electronic Journal of Statistics (http://www...
A unique solution that depends continuously on the data does not exist Inverse problems are concerne...
We consider linear inverse problems with a two norm regularization, called Tikhonov regularization. ...
Typical inverse problems are ill-posed which frequently leads to difficulties in calculatingnumerica...
discrepancy principles for a class of regularization methods for solving ill-posed problems M.T. NAI...
In this paper, we propose a new strategy for a priori choice of reg-ularization parameters in Tikhon...
summary:We give a derivation of an a-posteriori strategy for choosing the regularization parameter i...
The Tikhonov-Phillips method is widely used for regularizing ill-posed problems due to the simplicit...
Esta Tesis abarca el estudio de métodos de regularización para problemas inversos mal condicionados ...
Abstract. We investigate continuous regularization methods for linear inverse problems of static and...
Ill-posed inverse problems arise in many fields of science and engineering. The ill-conditioning and...
A Generalized Tikhonov Regularization Using Two Parameters Applied to Linear Inverse Ill-Posed Probl...
University of Minnesota Ph.D. dissertation. March 2011. Advisor:Prof. Fadil Santosa. Major: Mathemat...
In this chapter we present the basic concepts of numerical regularization theory. We analyze direct ...
Tikhonov regularization is a cornerstone technique in solving inverse problems with applications in ...
Published in at http://dx.doi.org/10.1214/07-EJS115 the Electronic Journal of Statistics (http://www...
A unique solution that depends continuously on the data does not exist Inverse problems are concerne...
We consider linear inverse problems with a two norm regularization, called Tikhonov regularization. ...
Typical inverse problems are ill-posed which frequently leads to difficulties in calculatingnumerica...
discrepancy principles for a class of regularization methods for solving ill-posed problems M.T. NAI...