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Numerical methods and programming, 2006, Volume 7, Issue 4, Pages 323–336 (Mi vmp608)  

This article is cited in 3 scientific papers (total in 3 papers)

Вычислительные методы и приложения

The Lagrange principle and finite-dimensional approximations in the optimal inverse problem for linear operators

A. V. Bayev

Lomonosov Moscow State University, Faculty of Physics
Full-text PDF (235 kB) Citations (3)
Abstract: This paper is devoted to the Lagrange principle for optimal recovery in the problem of solving operator equations. Some optimal recovery problems and a more general problem are formulated. The relation between the problem in infinite-dimensional space and its analogue in finite-dimensional space is studied. A theorem on common optimal recovery methods for the problems in infinite-dimensional space and in finite-dimensional space is proved. The problem in infinite-dimensional space is approximated by problems in finite-dimensional spaces. A new optimal method for the problem of solving operator equations in finite-dimensional space is described. This problem is considered as a system of linear algebraic equations with a priori information on its solution.
Keywords: optimal recovery, inverse problems on compact sets, finite-dimensional approximation, Lagrange principle, operator equations.
Document Type: Article
UDC: 517.983
Language: Russian
Citation: A. V. Bayev, “The Lagrange principle and finite-dimensional approximations in the optimal inverse problem for linear operators”, Num. Meth. Prog., 7:4 (2006), 323–336
Citation in format AMSBIB
\Bibitem{Bay06}
\by A.~V.~Bayev
\paper The Lagrange principle and finite-dimensional approximations in the optimal inverse problem for linear operators
\jour Num. Meth. Prog.
\yr 2006
\vol 7
\issue 4
\pages 323--336
\mathnet{http://mi.mathnet.ru/vmp608}
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  • https://www.mathnet.ru/eng/vmp/v7/i4/p323
  • This publication is cited in the following 3 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Numerical methods and programming
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    Abstract page:388
    Full-text PDF :193
    References:3
     
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