Approximate solution of linear Volterra-Fredholm integral equations via exponential spline function

This paper presents a novel numerical scheme for solving linear Volterra-Fredholm integral equations (V-FIEs) of the second kind, utilizing exponential spline functions (ESFs) in combination with fractional derivatives. The method simplifies computational implementation by converting the original integral equation into a matrix system. To prove the precision and stability of the suggested approach, a thorough convergence analysis is carried out. Numerical experiments, backed by graphical representations, validate the method's high accuracy and computational efficiency, even with a limited number of subintervals. All simulations and visualizations are implemented using Python. The results indicate that the suggested ESF approach performs noticeably better than traditional methods.

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Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2026-01-01
DOI
https://doi.org/10.58205/jiamcs.v5i2.1962
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
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article

Approximate solution of linear Volterra-Fredholm integral equations via exponential spline function

Rahel Jaza, Hiwa Rahman, Sudad Mussa, SHABAZ JALIL MOHAMMEDFAEQ
SHILAP Revista de lepidopterología
Fractional Differential Equations Solutions
article

Approximate solution of linear Volterra-Fredholm integral equations via exponential spline function

Rahel Jaza, Hiwa Rahman, Sudad Mussa, SHABAZ JALIL MOHAMMEDFAEQ
article en

Abstract

This paper presents a novel numerical scheme for solving linear Volterra-Fredholm integral equations (V-FIEs) of the second kind, utilizing exponential spline functions (ESFs) in combination with fractional derivatives. The method simplifies computational implementation by converting the original integral equation into a matrix system. To prove the precision and stability of the suggested approach, a thorough convergence analysis is carried out. Numerical experiments, backed by graphical representations, validate the method's high accuracy and computational efficiency, even with a limited number of subintervals. All simulations and visualizations are implemented using Python. The results indicate that the suggested ESF approach performs noticeably better than traditional methods.

SHILAP Revista de lepidopterología
University of Sulaimani (IQ)
Openalex Percentile: Top 91%
Fractional Differential Equations Solutions
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