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Regularización de problemas inversos mal condicionados mediante la minimización de funcionales de tipo Tikhonov-Phillips doblemente generalizados
(2019-12-13)
En esta tesis se aborda la regularización de problemas inversos mal condicionados desde el enfoque determinístico de su resolución y, en este contexto, se presentan los métodos de Tikhonov-Phillips en sus versiones clásica, ...
GKB-FP: an algorithm for large-scale discrete ill-posed problems
(SpringerDordrechtHolanda, 2010)
Directional convergence of spectral regularization method associated to families of closed operators
(Springer, 2013-04)
We consider regularized solutions of linear inverse ill-posed problems obtained with generalized Tikhonov–Phillips functionals with penalizers given by linear combinations of seminorms induced by closed operators. Convergence ...
Extension of GKB- FP algorithm to large- scale general- form Tikhonov regularization
(Wiley-blackwellHobokenEUA, 2014)
On a generalization of Reginska's parameter choice rule and its numerical realization in large-scale multi-parameter Tikhonov regularization
(Elsevier Science IncNew YorkEUA, 2012)
Size Distribution of Nanoparticles by Dynamic Light Scattering. Comparison of Bayesian and Tikhonov Inversion Methods
(Taylor & Francis Ltd, 2012-10)
The diameter distribution of nanometric particles is estimated from multiangle dynamic light scattering (MDLS) measurements by solving an ill-conditioned nonlinear inverse problem through Tikhonov and Bayesian methods. ...
Regularización de Tipo Tikhonov-Phillips con Penalizantes Generales para Problemas Inversos mal Condicionados
(2010-03-26)
En esta tesis se aborda el estudio de los métodos de regularización de “tipo” Tikhonov-Phillips con penalizantes generales para problemas inversos mal condicionados desde un punto de vista general. En este contexto y en ...
Anisotropic BV–L2 regularization of linear inverse ill-posed problems
(Academic Press Inc Elsevier Science, 2017-06)
During the last two decades several generalizations of the traditional Tikhonov-Phillips regularization method for solving inverse ill-posed problems have been proposed. Many of these variants consist essentially of ...
Regularization of Inverse Ill-Posed Problems with General Penalizing Terms: Applications to Image Restoration
(Asociación Argentina de Mecánica Computacional, 2010-11)
The 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 ...