Computational Representation of Fractional Inequalities Through 2D and 3D Graphs with Applications

The aim of this research article is to use the extended fractional operators involving the multivariate Mittag–Leffler (M-M-L) function, we provide the generalization of the Hermite–Hadamard–Fejer (H-H-F) inequalities. We relate these inequalities to previously published disparities in the literature by making appropriate substitutions. In the last section, we analyze several inequalities related to the H-H-F inequalities, focusing on generalized h-convexity associated with extended fractional operators involving the M-M-L function. To achieve this, we derive two identities for locally differentiable functions, which allows us to provide specific estimates for the differences between the left, middle, and right terms in the H-H-F inequalities. Also, we have constructed specific inequalities and visualized them through graphical representations to facilitate their applications in analysis. The research bridges theoretical advancements with practical applications, providing high-accuracy bounds for complex systems involving fractional calculus.

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Publication Details

Journal
Computation
Published
2025-02-07
DOI
https://doi.org/10.3390/computation13020046
Citations
2
Primary Topic
Advanced Optimization Algorithms Research
Type
article
Field-Weighted Citation Impact
5.26
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article

Computational Representation of Fractional Inequalities Through 2D and 3D Graphs with Applications

Ahsan Mehmood, Nabil Mlaiki, Gauhar Rahman, Salma Haque et al.
2 citations
Computation
Advanced Optimization Algorithms Research
5.26
article

Computational Representation of Fractional Inequalities Through 2D and 3D Graphs with Applications

Ahsan Mehmood, Nabil Mlaiki, Gauhar Rahman, Salma Haque, Muhammad Rizwan Younis, Muhammad Samraiz, Ahmad Aloqaily
article en
2 citations

Abstract

The aim of this research article is to use the extended fractional operators involving the multivariate Mittag–Leffler (M-M-L) function, we provide the generalization of the Hermite–Hadamard–Fejer (H-H-F) inequalities. We relate these inequalities to previously published disparities in the literature by making appropriate substitutions. In the last section, we analyze several inequalities related to the H-H-F inequalities, focusing on generalized h-convexity associated with extended fractional operators involving the M-M-L function. To achieve this, we derive two identities for locally differentiable functions, which allows us to provide specific estimates for the differences between the left, middle, and right terms in the H-H-F inequalities. Also, we have constructed specific inequalities and visualized them through graphical representations to facilitate their applications in analysis. The research bridges theoretical advancements with practical applications, providing high-accuracy bounds for complex systems involving fractional calculus.

ComputationVol. 13(2)
Prince Sultan University (SA), University of Sargodha (PK), Hazara University (PK), East China Normal University (CN)
Openalex Percentile: Top 7%
Advanced Optimization Algorithms Research
5.26
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