Application a Taylor series to approximate a function with large gradients Full article
Journal |
Сибирские электронные математические известия (Siberian Electronic Mathematical Reports)
, E-ISSN: 1813-3304 |
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Output data | Year: 2023, Volume: 20, Number: 2, Pages: 1420-1429 Pages count : 10 DOI: 10.33048/semi.2023.20.087 | ||
Tags | function of one or two variables with large gradients, boundary layer component, Taylor series approximation, modi cation, error estimation | ||
Authors |
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Affiliations |
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Funding (1)
1 | Омский филиал ФГБУН «Институт математики им. С.Л. Соболева СО РАН». | FWNF-2022-0016 |
Abstract:
The method of approximating functions by polynomials based on Taylor series expansion is widely known. However, the residual term of such an approximation can be significant if the function has large gradients. The work assumes that the function has a decomposition in the form of a sum of regular and boundary layer components. The boundary layer component is a function of general form, known up to a factor, and is responsible for large gradients of the given function. This decomposition is valid, in particular, for the solution of a singularly perturbed problem. To approximate the function, a formula is proposed that uses the Taylor series expansion of the function and is exact for the boundary layer component. Under certain restrictions on the boundary layer component, estimates of the error in the approximation of the function are obtained. These estimates depend only on the regular component. Cases of functions of one and two variables are considered.
Cite:
Zadorin A.I.
Application a Taylor series to approximate a function with large gradients
Сибирские электронные математические известия (Siberian Electronic Mathematical Reports). 2023. V.20. N2. P.1420-1429. DOI: 10.33048/semi.2023.20.087 WOS Scopus РИНЦ
Application a Taylor series to approximate a function with large gradients
Сибирские электронные математические известия (Siberian Electronic Mathematical Reports). 2023. V.20. N2. P.1420-1429. DOI: 10.33048/semi.2023.20.087 WOS Scopus РИНЦ
Dates:
Submitted: | Oct 15, 2023 |
Published print: | Dec 12, 2023 |
Published online: | Dec 12, 2023 |
Identifiers:
Web of science: | WOS:001164415800009 |
Scopus: | 2-s2.0-85186919082 |
Elibrary: | 82134673 |