20 citations · 23 across the 4 of their papers we have counts for
4 papers
Q-curve and area rules for choosing heuristic parameter in Tikhonov regularization
Toomas Raus, Uno Hämarik
We consider choice of the regularization parameter in Tikhonov method if the noise level of the data is unknown. One of the best rules for the heuristic parameter choice is the qua…
Semi-Heuristic Parameter Choice Rules for Tikhonov Regularisation with Operator Perturbations
Uno Hämarik, Urve Kangro, Stefan Kindermann +1
We study the choice of the regularisation parameter for linear ill-posed problems in the presence of data noise and operator perturbations, for which a bound on the operator error…
Heuristic parameter choice in Tikhonov method from minimizers of the quasi-optimality function
Toomas Raus, Uno Hämarik
We consider choice of the regularization parameter in Tikhonov method in the case of the unknown noise level of the data. From known heuristic parameter choice rules often the best…
Regularization by Discretization in Banach Spaces
Uno Hämarik, Barbara Kaltenbacher, Urve Kangro +1
We consider ill-posed linear operator equations with operators acting between Banach spaces. For solution approximation, the methods of choice here are projection methods onto fini…