Loading [MathJax]/jax/output/SVG/config.js
Trudy Instituta Matematiki i Mekhaniki UrO RAN
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Trudy Inst. Mat. i Mekh. UrO RAN:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Trudy Instituta Matematiki i Mekhaniki UrO RAN, 2024, Volume 30, Number 4, Pages 106–116
DOI: https://doi.org/10.21538/0134-4889-2024-30-4-106-116
(Mi timm2131)
 

Analysis of numerical differentiation formulas on a uniform grid in the presence of a boundary layer

A. I. Zadorin

Sobolev Institute of Mathematics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk
References:
Abstract: The issue of numerical differentiation of functions with large gradients is considered. It is assumed that there is a decomposition of a given function of one variable into the sum of a regular component and a boundary layer component; the latter is responsible for the large gradients of the function and is known up to a factor. This decomposition is valid, in particular, for a solution of a singularly perturbed boundary value problem. However, the application of the classical polynomial formulas of numerical differentiation to functions with large gradients may produce significant errors. Numerical differentiation formulas that are exact on the boundary layer component are studied, and their error is estimated. Such formulas are proved to be more exact than the classical ones in the case of the presence of a boundary layer component. An approach to estimating the error of the proposed formulas is suggested, and its applicability is shown in particular cases. The results of numerical experiments are presented. These results comply with the obtained error estimates and show the advantage in accuracy of the proposed formulas.
Keywords: function of one variable, large gradients, boundary layer component, nonpolynomial formula for numerical differentiation, error estimation.
Funding agency Grant number
Ministry of Science and Higher Education of the Russian Federation FWNF-2022-0016
The work was supported under state contract IM SB RAS no. FWNF-2022-0016.
Received: 04.04.2024
Revised: 10.05.2024
Accepted: 13.05.2024
English version:
Proceedings of the Steklov Institute of Mathematics (Supplementary issues), 2024, Volume 327, Issue 1, Pages S275–S285
DOI: https://doi.org/10.1134/S0081543824070204
Bibliographic databases:
Document Type: Article
UDC: 519.653
MSC: 65D25
Language: Russian
Citation: A. I. Zadorin, “Analysis of numerical differentiation formulas on a uniform grid in the presence of a boundary layer”, Trudy Inst. Mat. i Mekh. UrO RAN, 30, no. 4, 2024, 106–116; Proc. Steklov Inst. Math. (Suppl.), 327, suppl. 1 (2024), S275–S285
Citation in format AMSBIB
\Bibitem{Zad24}
\by A.~I.~Zadorin
\paper Analysis of numerical differentiation formulas on a uniform grid in the presence of a boundary layer
\serial Trudy Inst. Mat. i Mekh. UrO RAN
\yr 2024
\vol 30
\issue 4
\pages 106--116
\mathnet{http://mi.mathnet.ru/timm2131}
\crossref{https://doi.org/10.21538/0134-4889-2024-30-4-106-116}
\elib{https://elibrary.ru/item.asp?id=75134209}
\edn{https://elibrary.ru/alhewv}
\transl
\jour Proc. Steklov Inst. Math. (Suppl.)
\yr 2024
\vol 327
\issue , suppl. 1
\pages S275--S285
\crossref{https://doi.org/10.1134/S0081543824070204}
\scopus{https://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-105000029376}
Linking options:
  • https://www.mathnet.ru/eng/timm2131
  • https://www.mathnet.ru/eng/timm/v30/i4/p106
  • Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Trudy Instituta Matematiki i Mekhaniki UrO RAN
    Statistics & downloads:
    Abstract page:67
    Full-text PDF :2
    References:8
    First page:5
     
      Contact us:
    math-net2025_04@mi-ras.ru
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2025