An Adaptive Semi-Analytical Approach in Solving Nonlinear Korteweg-De Vries Equations

This paper introduces a novel method named the Adaptive Hybrid Reduced Differential Transform Method (AHRDTM) for solving Nonlinear Korteweg-De Vries Equations (NKdVEs). AHRDTM provides convergent semi-analytical solutions over long-time frames by generating subintervals of varying lengths, significantly reducing the number of time-steps and processing time needed for solutions, distinguishing it from the traditional multistep approach of RDTM. Notably, AHRDTM avoids the need for perturbation, linearization or discretization, enhancing its adaptability and reliability. The findings demonstrate that AHRDTM provides highly accurate and efficient solutions for NKdVEs. Additionally, the method is straightforward, significantly reduces the computational effort required to solve NKdVE problems and shows promise for application to a wide range of partial differential equations (PDEs). The efficacy of AHRDTM is illustrated through tables and graphical representations

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Journal
CFD letters
Published
2024-12-31
DOI
https://doi.org/10.37934/cfdl.17.6.107121
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
0.00

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article

An Adaptive Semi-Analytical Approach in Solving Nonlinear Korteweg-De Vries Equations

Jumat Sulaiman, Arif Mandangan, Che Haziqah Che Hussin, Abdul Rahman Farhan Sabdin et al.
CFD letters
Fractional Differential Equations Solutions
article

An Adaptive Semi-Analytical Approach in Solving Nonlinear Korteweg-De Vries Equations

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

Abstract

This paper introduces a novel method named the Adaptive Hybrid Reduced Differential Transform Method (AHRDTM) for solving Nonlinear Korteweg-De Vries Equations (NKdVEs). AHRDTM provides convergent semi-analytical solutions over long-time frames by generating subintervals of varying lengths, significantly reducing the number of time-steps and processing time needed for solutions, distinguishing it from the traditional multistep approach of RDTM. Notably, AHRDTM avoids the need for perturbation, linearization or discretization, enhancing its adaptability and reliability. The findings demonstrate that AHRDTM provides highly accurate and efficient solutions for NKdVEs. Additionally, the method is straightforward, significantly reduces the computational effort required to solve NKdVE problems and shows promise for application to a wide range of partial differential equations (PDEs). The efficacy of AHRDTM is illustrated through tables and graphical representations

CFD lettersVol. 17(6)
Prince Sattam Bin Abdulaziz University (SA), Universiti of Malaysia Sabah (MY)
Universiti Malaysia Sabah
Openalex Percentile: Top 73%
Fractional Differential Equations Solutions
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