NUMERICAL INVESTIGATION OF A FOUR-POINT SIMPSON’S QUADRATURE FOR COMPUTING RIEMANN-STIELTJES INTEGRALS

Quadrature is a significant area in approximation theory with broad applications in mathematics and engineering. This paper presents a new numerical quadrature scheme for the Riemann-Stieltjes integral, using a four-point Simpson’s rule with a midpoint derivative. The scheme is derived in both basic and composite forms, and theorems for local and global error terms are proven. The proposed scheme is validated by reducing it to the corresponding Riemann-integral scheme and confirmed through numerical experiments. MATLAB was used for the computational validation, and the performance of the proposed scheme was compared with four existing derivative-free and derivative-based schemes. The results demonstrate that the proposed scheme outperforms the others in terms of absolute error reduction, computational cost and execution time.

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Publication Details

Journal
NED University Journal of Research
Published
2025-02-27
DOI
https://doi.org/10.35453/nedjr-ascn-2024-0017.r3
Primary Topic
Mathematical functions and polynomials
Type
article
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article

NUMERICAL INVESTIGATION OF A FOUR-POINT SIMPSON’S QUADRATURE FOR COMPUTING RIEMANN-STIELTJES INTEGRALS

Kashif Memon, Sara Mahesar, Muhammad Mujtaba Shaikh
NED University Journal of Research
Mathematical functions and polynomials
article

NUMERICAL INVESTIGATION OF A FOUR-POINT SIMPSON’S QUADRATURE FOR COMPUTING RIEMANN-STIELTJES INTEGRALS

Kashif Memon, Sara Mahesar, Muhammad Mujtaba Shaikh
article en

Abstract

Quadrature is a significant area in approximation theory with broad applications in mathematics and engineering. This paper presents a new numerical quadrature scheme for the Riemann-Stieltjes integral, using a four-point Simpson’s rule with a midpoint derivative. The scheme is derived in both basic and composite forms, and theorems for local and global error terms are proven. The proposed scheme is validated by reducing it to the corresponding Riemann-integral scheme and confirmed through numerical experiments. MATLAB was used for the computational validation, and the performance of the proposed scheme was compared with four existing derivative-free and derivative-based schemes. The results demonstrate that the proposed scheme outperforms the others in terms of absolute error reduction, computational cost and execution time.

NED University Journal of ResearchVol. XXII(1-2)
University of Sindh (PK), Mehran University of Engineering and Technology (PK)
Openalex Percentile: Top 90%
Mathematical functions and polynomials
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