An Efficient Analytical Technique for Solving Fractional Order Biological Population Model

This article uses the natural homotopy permutation technique to solve the fractional-order biological population model (FOBPM). The fractional derivative is defined using the Atangana-Baleanu operator (ABO). The proposed approach offers a series of solutions for FOBPM. The NHPM method is recognized as one of the best analytical procedures for solving fractional-order, nonlinear PDEs, particularly the FOBPM, since it involves fewer calculations and has a higher rate of convergence than other analytical approaches.

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Publication Details

Journal
Advances in Nonlinear Variational Inequalities
Published
2024-11-01
DOI
https://doi.org/10.52783/anvi.v28.2443
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
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article

An Efficient Analytical Technique for Solving Fractional Order Biological Population Model

Hassan Kamil Jassim
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Advances in Nonlinear Variational Inequalities
Mathematical and Theoretical Epidemiology and Ecology Models
article

An Efficient Analytical Technique for Solving Fractional Order Biological Population Model

Hassan Kamil Jassim
article en

Abstract

This article uses the natural homotopy permutation technique to solve the fractional-order biological population model (FOBPM). The fractional derivative is defined using the Atangana-Baleanu operator (ABO). The proposed approach offers a series of solutions for FOBPM. The NHPM method is recognized as one of the best analytical procedures for solving fractional-order, nonlinear PDEs, particularly the FOBPM, since it involves fewer calculations and has a higher rate of convergence than other analytical approaches.

Advances in Nonlinear Variational InequalitiesVol. 28(1s)
Openalex Percentile: Top 61%
Mathematical and Theoretical Epidemiology and Ecology Models
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An Efficient Analytical Technique for Solving Fractional Order Biological Population Model — Hassan Kamil Jassim · Advances in Nonlinear Variational Inequalities (2024) | TGRS Research Map | TGRS