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Numerical methods and programming, 2019, Volume 20, Issue 2, Pages 97–103
DOI: https://doi.org/10.26089/NumMet.v20r210
(Mi vmp951)
 

This article is cited in 2 scientific papers (total in 2 papers)

An implementation of the Chebyshev series method for the approximate analytical solution of second-order ordinary differential equations

O. B. Arushanyan, S. F. Zaletkin

Lomonosov Moscow State University, Research Computing Center
Full-text PDF (170 kB) Citations (2)
Abstract: A method used to apply the Chebyshev series for solving canonical systems of second order ordinary differential equations is described. This method is based on the approximation of the Cauchy problem solution and its first and second derivatives by partial sums of shifted Chebyshev series. The coefficients of these series are determined iteratively using the relations relating the Chebyshev coefficients of the solution and its first derivative with the Chebyshev coefficients found for the right-hand side of the canonical system by application of Markovs quadrature formula. The obtained numerical results are discussed and the high-precision analytical representations of the solution are proposed in the form of partial sums of Chebyshev series on a given integration segment.
Keywords: ordinary differential equations of second order, canonical systems of ordinary differential equations, approximate analytical methods, numerical methods, orthogonal expansions, shifted Chebyshev series, Markov quadrature formulas, polynomial approximation.
Received: 25.12.2018
Bibliographic databases:
UDC: 519.622
Language: Russian
Citation: O. B. Arushanyan, S. F. Zaletkin, “An implementation of the Chebyshev series method for the approximate analytical solution of second-order ordinary differential equations”, Num. Meth. Prog., 20:2 (2019), 97–103
Citation in format AMSBIB
\Bibitem{AruZal19}
\by O.~B.~Arushanyan, S.~F.~Zaletkin
\paper An implementation of the Chebyshev series method for the approximate analytical solution of second-order ordinary differential equations
\jour Num. Meth. Prog.
\yr 2019
\vol 20
\issue 2
\pages 97--103
\mathnet{http://mi.mathnet.ru/vmp951}
\crossref{https://doi.org/10.26089/NumMet.v20r210}
\elib{https://elibrary.ru/item.asp?id=38239260}
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  • This publication is cited in the following 2 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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