A New Algorithm for a Posteriori Error Estimation for Approximate Solutions of Linear Ill-Posed Problems


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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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