On adaptive discretization schemes for the regularization of ill-posed problems with semiiterative methods
Year: 2014
Type: preprint
Abstract: In this paper we investigate an adaptive discretization strategy for ill-posed linear prob- lems combined with a regularization from a class of semiiterative methods. We show that such a discretization approach in combination with a stopping criterion as the discrepancy principle or the balancing principle yields an order optimal regularization scheme and allows to reduce the computational costs.
Source: arXiv (Cornell University)
Authors: Erb, Wolfgang, Semenova, Evgeniya V.
Language: English
Subfield: Mathematical Physics
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2953266691