TY - JOUR
T1 - An Adaptive Semi-Analytical Approach in Solving Nonlinear Korteweg-De Vries Equations
AU - Sabdin, Abdul Rahman Farhan
AU - Hussin, Che Haziqah Che
AU - Sulaiman, Jumat
AU - Mandangan, Arif
AU - El-Zahar, Essam Roshdy
N1 - Publisher Copyright:
© 2025, Semarak Ilmu Publishing. All rights reserved.
PY - 2025/6
Y1 - 2025/6
N2 - 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.
AB - 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.
KW - Adaptive Multistep Differential Transform Method
KW - Adaptive Scheme
KW - Adomian Polynomials
KW - Korteweg-De Vries Equations
KW - Multistep Reduced Differential Transform Method
UR - http://www.scopus.com/inward/record.url?scp=85215708794&partnerID=8YFLogxK
U2 - 10.37934/cfdl.17.6.107121
DO - 10.37934/cfdl.17.6.107121
M3 - Letter
AN - SCOPUS:85215708794
SN - 2180-1363
VL - 17
SP - 107
EP - 121
JO - CFD Letters
JF - CFD Letters
IS - 6
ER -