Muhammad Umar , Saad Ihsan Butt , Dawood Khan , Sanja Tipurić-Spužević , Youngsoo Seol
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引用次数: 0
Abstract
This study presents new bounds on Weddle's type formula for differentiable functions using proportional Caputo-Hybrid operators (). These operators provide hybrid estimates; for , they yield first-derivative estimates, while for , they approximate the second derivative. By applying , we generalize Weddle's formula for optimal approximations, particularly for polynomials of degree six. This enhances its applicability when Simpson's 1/3 rule fails to achieve the required precision. Our findings extend Weddle's formula to a broader class of functions, improving error bounds in inequality theory and calculus. We demonstrate applications in special means and functions, validating our approach through rigorous computational analysis. Additionally, we propose future research directions, including extensions to q-calculus, symmetrized q-calculus, and multiplicative calculus, as well as exploring multidimensional spaces using alternative fractional integral operators.
期刊介绍:
in Shams Engineering Journal is an international journal devoted to publication of peer reviewed original high-quality research papers and review papers in both traditional topics and those of emerging science and technology. Areas of both theoretical and fundamental interest as well as those concerning industrial applications, emerging instrumental techniques and those which have some practical application to an aspect of human endeavor, such as the preservation of the environment, health, waste disposal are welcome. The overall focus is on original and rigorous scientific research results which have generic significance.
Ain Shams Engineering Journal focuses upon aspects of mechanical engineering, electrical engineering, civil engineering, chemical engineering, petroleum engineering, environmental engineering, architectural and urban planning engineering. Papers in which knowledge from other disciplines is integrated with engineering are especially welcome like nanotechnology, material sciences, and computational methods as well as applied basic sciences: engineering mathematics, physics and chemistry.