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Numerical methods and programming, 2020, Volume 21, Issue 3, Pages 241–250
DOI: https://doi.org/10.26089/NumMet.v21r321
(Mi vmp1007)
 

This article is cited in 1 scientific paper (total in 1 paper)

An error estimate for an approximate solution to ordinary differential equations obtained using the Chebyshev series

O. B. Arushanyan, S. F. Zaletkin

Lomonosov Moscow State University, Research Computing Center
Full-text PDF (242 kB) Citations (1)
Abstract: An approximate method of solving the Cauchy problem for nonlinear first-order ordinary differential equations is considered. The method is based on using the shifted Chebyshev series and a Markov quadrature formula. Some approaches are given to estimate the error of an approximate solution expressed by a partial sum of a certain order series. The error is estimated using the second approximation of the solution expressed by a partial sum of a higher order series. An algorithm of partitioning the integration interval into elementary subintervals to ensure the computation of the solution with a prescribed accuracy is discussed on the basis of the proposed approaches to error estimation.
Keywords: ordinary differential equations; approximate analytical methods; numerical methods; orthogonal expansions; shifted Chebyshev series; Markov quadrature formulas; polynomial approximation; precision control; error estimate; automatic step size control.
Received: 26.07.2020
UDC: 519.622
Language: Russian
Citation: O. B. Arushanyan, S. F. Zaletkin, “An error estimate for an approximate solution to ordinary differential equations obtained using the Chebyshev series”, Num. Meth. Prog., 21:3 (2020), 241–250
Citation in format AMSBIB
\Bibitem{AruZal20}
\by O.~B.~Arushanyan, S.~F.~Zaletkin
\paper An error estimate for an approximate solution to ordinary differential equations obtained using the Chebyshev series
\jour Num. Meth. Prog.
\yr 2020
\vol 21
\issue 3
\pages 241--250
\mathnet{http://mi.mathnet.ru/vmp1007}
\crossref{https://doi.org/10.26089/NumMet.v21r321}
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  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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    Numerical methods and programming
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