A Family of Newton–Cotes‐Type Inequalities in Multiplicative Calculus With Their Applications to Quadrature Formulas and Numerical Analysis

ABSTRACT This study introduces a novel class of the Newton–Cotes‐type inequalities derived from a parameterized identity within the framework of multiplicative calculus. These inequalities provide an innovative approach to integral approximation, refining existing results for specific parameter choices, including the Midpoint, Trapezoidal, Simpson's, Newton's, Maclaurin's, and Weddle's formulas. This development is particularly significant in numerical analysis, where precise integral approximations are critical, such as solving differential equations and implementing methods like the finite volume method. The paper highlights that multiplicative calculus delivers more accurate absolute error bounds than classical calculus, especially for higher‐degree polynomials. Notably, the proposed inequalities streamline computations by eliminating the need to derive each inequality individually. By adjusting parameters, these results allow for efficient determination of error bounds for various quadrature formulas. Applications to numerical integration and special means for real numbers are explored, demonstrating the practical utility and accuracy of the proposed inequalities. A detailed mathematical example, supported by 2D and 3D visualizations, further validates the performance of these results. This work advances numerical methods and provides valuable insights into applying the Newton–Cotes‐type inequalities in mathematical research, computation, and integration techniques.

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2025-04-20
DOI
https://doi.org/10.1002/mma.10979
Citations
3
Primary Topic
Mathematical Inequalities and Applications
Type
article
Field-Weighted Citation Impact
11.18
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article

A Family of Newton–Cotes‐Type Inequalities in Multiplicative Calculus With Their Applications to Quadrature Formulas and Numerical Analysis

Artion Kashuri, Serap Özcan, Abdul Mateen
3 citations
Mathematical Methods in the Applied Sciences
Mathematical Inequalities and Applications
11.18
article

A Family of Newton–Cotes‐Type Inequalities in Multiplicative Calculus With Their Applications to Quadrature Formulas and Numerical Analysis

Artion Kashuri, Serap Özcan, Abdul Mateen
article en
3 citations

Abstract

ABSTRACT This study introduces a novel class of the Newton–Cotes‐type inequalities derived from a parameterized identity within the framework of multiplicative calculus. These inequalities provide an innovative approach to integral approximation, refining existing results for specific parameter choices, including the Midpoint, Trapezoidal, Simpson's, Newton's, Maclaurin's, and Weddle's formulas. This development is particularly significant in numerical analysis, where precise integral approximations are critical, such as solving differential equations and implementing methods like the finite volume method. The paper highlights that multiplicative calculus delivers more accurate absolute error bounds than classical calculus, especially for higher‐degree polynomials. Notably, the proposed inequalities streamline computations by eliminating the need to derive each inequality individually. By adjusting parameters, these results allow for efficient determination of error bounds for various quadrature formulas. Applications to numerical integration and special means for real numbers are explored, demonstrating the practical utility and accuracy of the proposed inequalities. A detailed mathematical example, supported by 2D and 3D visualizations, further validates the performance of these results. This work advances numerical methods and provides valuable insights into applying the Newton–Cotes‐type inequalities in mathematical research, computation, and integration techniques.

Mathematical Methods in the Applied SciencesVol. 48(11)
Nanjing Normal University (CN), Polytechnic University of Tirana (AL), Kırklareli University (TR)
Openalex Percentile: Top 2%
Mathematical Inequalities and Applications
11.18
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