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.
Authors
- Xiaozhong Yang (ORCID: https://orcid.org/0000-0003-3160-909X)
- Lifei Wu (ORCID: https://orcid.org/0000-0001-8425-2579)
- Longtao Chai (ORCID: https://orcid.org/0009-0005-0065-9950)
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
- Field-Weighted Citation Impact
- 0.00