Adaptive Hybrid Reduced Differential Transform Method in Solving Nonlinear Schrodinger Equations

In this paper, piecewise-analytical and numerical solutions are obtained by a new adapted approach named the Adaptive Hybrid Reduced Differential Transform Method (AHRDTM). The fundamentals of the method are introduced, followed by its application to Nonlinear Schrodinger Equations (NLSEs). Analytical and numerical solutions are acquired using piecewise convergent series with computationally feasible components across a sequence of sub-intervals of varying length. This succeeds due to the adaptive algorithm introduced and the substitution of the non-linear term in the NLSEs with their corresponding Adomian polynomials. The accuracy of the AHRDTM is observed through numerical comparisons between the proposed method and the Modified Reduced Differential Transform Method (MRDTM) with their respective exact solutions. The absolute errors presented in the table reveal that the proposed approach has better accuracy in solving the considered equations. The results and pictorial illustrations have been provided to demonstrate the reliability of the method’s accuracy in obtaining approximate solutions.

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Publication Details

Journal
Journal of Advanced Research Design
Published
2025-05-06
DOI
https://doi.org/10.37934/ard.129.1.3345
Primary Topic
Iterative Methods for Nonlinear Equations
Type
article
Field-Weighted Citation Impact
0.00

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article

Adaptive Hybrid Reduced Differential Transform Method in Solving Nonlinear Schrodinger Equations

Jumat Sulaiman, Arif Mandangan, Che Haziqah Che Hussin, Abdul Rahman Farhan Sabdin et al.
Journal of Advanced Research Design
Iterative Methods for Nonlinear Equations
article

Adaptive Hybrid Reduced Differential Transform Method in Solving Nonlinear Schrodinger Equations

Jumat Sulaiman, Arif Mandangan, Che Haziqah Che Hussin, Abdul Rahman Farhan Sabdin, Essam R. El‐Zahar
article en

Abstract

In this paper, piecewise-analytical and numerical solutions are obtained by a new adapted approach named the Adaptive Hybrid Reduced Differential Transform Method (AHRDTM). The fundamentals of the method are introduced, followed by its application to Nonlinear Schrodinger Equations (NLSEs). Analytical and numerical solutions are acquired using piecewise convergent series with computationally feasible components across a sequence of sub-intervals of varying length. This succeeds due to the adaptive algorithm introduced and the substitution of the non-linear term in the NLSEs with their corresponding Adomian polynomials. The accuracy of the AHRDTM is observed through numerical comparisons between the proposed method and the Modified Reduced Differential Transform Method (MRDTM) with their respective exact solutions. The absolute errors presented in the table reveal that the proposed approach has better accuracy in solving the considered equations. The results and pictorial illustrations have been provided to demonstrate the reliability of the method’s accuracy in obtaining approximate solutions.

Journal of Advanced Research DesignVol. 129(1)
Prince Sattam Bin Abdulaziz University (SA), Universiti of Malaysia Sabah (MY)
Universiti Malaysia Sabah
Openalex Percentile: Top 84%
Iterative Methods for Nonlinear Equations
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Adaptive Hybrid Reduced Differential Transform Method in Solving Nonlinear Schrodinger Equations — Jumat Sulaiman, Arif Mandangan, et al. · Journal of Advanced Research Design (2025) | TGRS Research Map | TGRS