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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
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
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
Linking options:
https://www.mathnet.ru/eng/vmp1007 https://www.mathnet.ru/eng/vmp/v21/i3/p241
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Abstract page: | 77 | Full-text PDF : | 40 |
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