Numerical Solution of Locally Loaded Volterra Integral Equations

Loaded Volterra integral equations represent a novel class of integral equations that have attracted considerable attention in recent years due to their numerous applications in various fields of science and engineering. This class of Volterra integral equations is characterized by the presence of a loading function, which complicates their theoretical and numerical analysis. In this paper, we study Volterra equations with locally loaded integral operators. The existence and uniqueness of their solutions are examined. A collocation-type method for the approximate solution of such equations is proposed, based on piecewise linear approximation of the exact solution. To confirm the convergence of the method, several numerical results for solving model problems are provided.

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Publication Details

Journal
Computation
Published
2025-05-15
DOI
https://doi.org/10.3390/computation13050121
Primary Topic
Numerical methods in inverse problems
Type
article
Field-Weighted Citation Impact
0.00

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article

Numerical Solution of Locally Loaded Volterra Integral Equations

Aleksandr Tynda, Aliona Dreglea, Denis Nikolaevich Sidorov, Vladislav Byankin
1 links
Computation
Numerical methods in inverse problems
article

Numerical Solution of Locally Loaded Volterra Integral Equations

Aleksandr Tynda, Aliona Dreglea, Denis Nikolaevich Sidorov, Vladislav Byankin
article en

Abstract

Loaded Volterra integral equations represent a novel class of integral equations that have attracted considerable attention in recent years due to their numerous applications in various fields of science and engineering. This class of Volterra integral equations is characterized by the presence of a loading function, which complicates their theoretical and numerical analysis. In this paper, we study Volterra equations with locally loaded integral operators. The existence and uniqueness of their solutions are examined. A collocation-type method for the approximate solution of such equations is proposed, based on piecewise linear approximation of the exact solution. To confirm the convergence of the method, several numerical results for solving model problems are provided.

ComputationVol. 13(5)
Penza State University (RU), Harbin Institute of Technology (CN), Melentiev Energy Systems Institute (RU), Irkutsk National Research Technical University (RU)
Ministry of Science and Higher Education of the Russian Federation
Openalex Percentile: Top 84%
Numerical methods in inverse problems
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