activity
20102014
most citedMixed spatially varying -BV regularization of inverse ill-posed problems

4 citations · 7 across the 4 of their papers we have counts for

collaborators

5 papers

math.FA2014★ 4 cited

Mixed spatially varying -BV regularization of inverse ill-posed problems

Gisela L. Mazzieri, Ruben D. Spies, Karina G. Temperini

Several generalizations of the traditional Tikhonov-Phillips regularization method have been proposed during the last two decades. Many of these generalizations are based upon indu…

math.FA2011

On the existence of global saturation for spectral regularization methods with optimal qualification

Gisela L. Mazzieri, Ruben D. Spies, Karina G. Temperini

A family of real functions {g_α} defining a spectral regularization method with optimal qualification is considered. Sufficient condition on the family and on the optimal qualifica…

math.FA2011

Existence, uniqueness and stability of solutions of generalized Tikhonov-Phillips functionals

Gisela L. Mazzieri, Ruben D. Spies, Karina G. Temperini

The Tikhonov-Phillips method is widely used for regularizing ill-posed inverse problems mainly due to the simplicity of its formulation as an optimization problem. The use of diffe…

math.FA2010★ 1 cited

Global Saturation of Regularization Methods for Inverse Ill-Posed Problems

Terry Herdman, Ruben D. Spies, Karina G. Temperini

In this article the concept of saturation of an arbitrary regularization method is formalized based upon the original idea of saturation for spectral regularization methods introdu…

math.NA2010★ 2 cited

Generalized Qualification and Qualification Levels for Spectral Regularization Methods

Terry Herdman, Ruben D. Spies, Karina G. Temperini

The concept of qualification for spectral regularization methods for inverse ill-posed problems is strongly associated to the optimal order of convergence of the regularization err…