A FAST PARALLEL DIFFERENCE METHOD FOR SOLVING THE TIME-FRACTIONAL GENERALIZED FISHER EQUATION

As a nonlinear fractional reaction-diffusion equation, the Time-Fractional Generalized Fisher (TFGF) equation is deeply rooted in physics, and its fast numerical methods' research has essential scientific significance and practical value. For the time-fractional generalized Fisher equation, based on the alternating segment technique, a parallel computation method for the Fast Alternating Segment Explicit-Implicit (FASE-Ⅰ) difference scheme is proposed. The time-fractional derivative is approximated by the fast L1 algorithm, while the spatial derivative is discretized by the alternating segment explicit-implicit difference method, the nonlinear term is processed using extrapolation. Theoretically analyze the FASE-Ⅰ method's uniqueness, stability, and convergence. Compared with the three classic difference methods, numerical experimental results show that the FASE-Ⅰ method not only has good computational accuracy; but also significantly improves computational efficiency. The FASE-Ⅰ method is efficient and feasible for resolving the time-fractional generalized Fisher equation.

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Publication Details

Journal
Journal of Applied Analysis & Computation
Published
2025-01-01
DOI
https://doi.org/10.11948/20240159
Primary Topic
Fractional Differential Equations Solutions
Type
article
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article

A FAST PARALLEL DIFFERENCE METHOD FOR SOLVING THE TIME-FRACTIONAL GENERALIZED FISHER EQUATION

Xiaozhong Yang, Lifei Wu, Longtao Chai
Journal of Applied Analysis & Computation
Fractional Differential Equations Solutions
article

A FAST PARALLEL DIFFERENCE METHOD FOR SOLVING THE TIME-FRACTIONAL GENERALIZED FISHER EQUATION

Xiaozhong Yang, Lifei Wu, Longtao Chai
article en

Abstract

As a nonlinear fractional reaction-diffusion equation, the Time-Fractional Generalized Fisher (TFGF) equation is deeply rooted in physics, and its fast numerical methods' research has essential scientific significance and practical value. For the time-fractional generalized Fisher equation, based on the alternating segment technique, a parallel computation method for the Fast Alternating Segment Explicit-Implicit (FASE-Ⅰ) difference scheme is proposed. The time-fractional derivative is approximated by the fast L1 algorithm, while the spatial derivative is discretized by the alternating segment explicit-implicit difference method, the nonlinear term is processed using extrapolation. Theoretically analyze the FASE-Ⅰ method's uniqueness, stability, and convergence. Compared with the three classic difference methods, numerical experimental results show that the FASE-Ⅰ method not only has good computational accuracy; but also significantly improves computational efficiency. The FASE-Ⅰ method is efficient and feasible for resolving the time-fractional generalized Fisher equation.

Journal of Applied Analysis & ComputationVol. 15(3)
Openalex Percentile: Top 83%
Fractional Differential Equations Solutions
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A FAST PARALLEL DIFFERENCE METHOD FOR SOLVING THE TIME-FRACTIONAL GENERALIZED FISHER EQUATION — Xiaozhong Yang, Lifei Wu, et al. · Journal of Applied Analysis & Computation (2025) | TGRS Research Map | TGRS