TY - JOUR
T1 - SOLVING TIME-FRACTIONAL FISHER MODELS BY NON-POLYNOMIAL SPLINES IN TERMS OF LOGARITHMIC DERIVATIVES
AU - Srivastava, Hari Mohan
AU - Yousif, Majeed A.
AU - Mohammed, Pshtiwan Othman
AU - Abdeljawad, Thabet
AU - Baleanu, Dumitru
AU - Chorfi, Nejmeddine
N1 - Publisher Copyright:
© 2025 The Author(s)
PY - 2025
Y1 - 2025
N2 - This paper introduces a novel numerical approach, the logarithmic non-polynomial spline method (LNPSM), leveraging a non-polynomial spline function with logarithmic terms to solve the conformable time-fractional Fisher (TFF) equation. The developed scheme achieves six-order convergence, derived through truncation error analysis and the Taylor series expansion. Stability is ensured under conditional constraints verified by von Neumann stability analysis. The method’s accuracy is demonstrated through two test examples, with results presented in comparison tables alongside cubic B-spline and Caputo non-polynomial spline methods, evaluated by norm errors. Additionally, graphical representations, including 2D and 3D plots, further illustrate the effectiveness of LNPSM. The findings indicate that LNPSM is a suitable and robust tool for solving time-fractional differential equations.
AB - This paper introduces a novel numerical approach, the logarithmic non-polynomial spline method (LNPSM), leveraging a non-polynomial spline function with logarithmic terms to solve the conformable time-fractional Fisher (TFF) equation. The developed scheme achieves six-order convergence, derived through truncation error analysis and the Taylor series expansion. Stability is ensured under conditional constraints verified by von Neumann stability analysis. The method’s accuracy is demonstrated through two test examples, with results presented in comparison tables alongside cubic B-spline and Caputo non-polynomial spline methods, evaluated by norm errors. Additionally, graphical representations, including 2D and 3D plots, further illustrate the effectiveness of LNPSM. The findings indicate that LNPSM is a suitable and robust tool for solving time-fractional differential equations.
KW - Conformable Derivative
KW - Natural Logarithmic Non-Polynomial Splines
KW - Stability Analysis
KW - Time-Fractional Fisher Equation
UR - https://www.scopus.com/pages/publications/105007361498
U2 - 10.1142/S0218348X25401425
DO - 10.1142/S0218348X25401425
M3 - Article
AN - SCOPUS:105007361498
SN - 0218-348X
VL - 33
JO - Fractals
JF - Fractals
IS - 8
M1 - 2540142
ER -