A New Algorithm for a Posteriori Error Estimation for Approximate Solutions of Linear Ill-Posed Problems
- Authors: Leonov A.S.1
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Affiliations:
- National Research Nuclear University “MEPhI”
- Issue: Vol 59, No 2 (2019)
- Pages: 193-200
- Section: Article
- URL: https://journal-vniispk.ru/0965-5425/article/view/180384
- DOI: https://doi.org/10.1134/S0965542519020106
- ID: 180384
Cite item
Abstract
A new algorithm for a posteriori estimation of the error in solutions to linear operator equations of the first kind in a Hilbert space is proposed and justified. The algorithm reduces the variational problem of a posteriori error estimation to two special problems of maximizing smooth functionals under smooth constraints. A finite-dimensional version of the algorithm is considered. The results of a numerical experiment concerning a posteriori error estimation for a typical inverse problem are presented. It is shown experimentally that the computation time required by the algorithm is less, on average, by a factor of 1.4 than in earlier proposed methods.
About the authors
A. S. Leonov
National Research Nuclear University “MEPhI”
Author for correspondence.
Email: asleonov@mephi.ru
Russian Federation, Moscow, 115409
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