Approximation methods for solving fractional equations
SS Zeid - Chaos, Solitons & Fractals, 2019 - Elsevier
In this review paper, we are mainly concerned with the numerical methods for solving
fractional equations, which are divided into the fractional differential equations (FDEs), time …
fractional equations, which are divided into the fractional differential equations (FDEs), time …
An optimization technique for solving a class of nonlinear fractional optimal control problems: application in cancer treatment
This paper proposes an optimization method for solving a general form of nonlinear
fractional optimal control problems (NFOCP) governed by nonlinear fractional dynamical …
fractional optimal control problems (NFOCP) governed by nonlinear fractional dynamical …
Rational spectral methods for PDEs involving fractional Laplacian in unbounded domains
Many PDEs involving fractional Laplacian are naturally set in unbounded domains with
underlying solutions decaying slowly and subject to certain power law. Their numerical …
underlying solutions decaying slowly and subject to certain power law. Their numerical …
An L1 type difference/Galerkin spectral scheme for variable-order time-fractional nonlinear diffusion–reaction equations with fixed delay
A linearized spectral Galerkin/finite difference approach is developed for variable fractional-
order nonlinear diffusion–reaction equations with a fixed time delay. The temporal …
order nonlinear diffusion–reaction equations with a fixed time delay. The temporal …
Efficiently solving fractional delay differential equations of variable order via an adjusted spectral element approach
This paper presents a new approach for solving fractional delay differential equations of
variable order using the spectral element method. The proposed method overcomes the …
variable order using the spectral element method. The proposed method overcomes the …
A Unified Fast Memory-Saving Time-Step** Method for Fractional Operators and Its Applications.
Y Huang, Q Li, R Li, F Zeng… - … : Theory, Methods & …, 2022 - search.ebscohost.com
Time-dependent fractional partial differential equations typically require huge amounts of
memory and computational time, especially for long-time integration, which taxes …
memory and computational time, especially for long-time integration, which taxes …
Adaptive numerical solutions of time-fractional advection–diffusion–reaction equations
A Jannelli - Communications in Nonlinear Science and Numerical …, 2022 - Elsevier
In this paper, we propose an adaptive procedure, recently developed for fractional ordinary
differential equations, for the solutions of time-fractional advection–diffusion–reaction …
differential equations, for the solutions of time-fractional advection–diffusion–reaction …
Generalized shifted Chebyshev polynomials: Solving a general class of nonlinear variable order fractional PDE
We introduce a new general class of nonlinear variable order fractional partial differential
equations (NVOFPDE). The NVOFPDE contains, as special cases, several partial differential …
equations (NVOFPDE). The NVOFPDE contains, as special cases, several partial differential …
[PDF][PDF] Two methods addressing variable-exponent fractional initial and boundary value problems and Abel integral equation
X Zheng - arxiv preprint arxiv:2404.09421, 2024 - researchgate.net
Variable-exponent fractional models attract increasing attentions in various applications,
while the rigorous analysis is far from well developed. This work provides general tools to …
while the rigorous analysis is far from well developed. This work provides general tools to …
[HTML][HTML] Dynamical behavior of reaction–diffusion neural networks and their synchronization arising in modeling epileptic seizure: a numerical simulation study
Excessive synchronizations of neurons in the brain networks can be a reason for some
episodic disorders such as epilepsy. In this paper, we simulate neural dynamic models and …
episodic disorders such as epilepsy. In this paper, we simulate neural dynamic models and …