Publication: A New Algorithm for a Posteriori Error Estimation for Approximate Solutions of Linear Ill-Posed Problems
Дата
2019
Авторы
Leonov, A. S.
Journal Title
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Volume Title
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Аннотация
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.
Описание
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Цитирование
Leonov, A. S. A New Algorithm for a Posteriori Error Estimation for Approximate Solutions of Linear Ill-Posed Problems / Leonov, AS // Computational Mathematics and Mathematical Physics. - 2019. - 59. - № 2. - P. 193-200;. - 10.1134/S0965542519020106
URI
https://www.doi.org/10.1134/S0965542519020106
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https://openrepository.mephi.ru/handle/123456789/18033
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https://openrepository.mephi.ru/handle/123456789/18033