Efficient numerical simulations based on an explicit group approach for the time fractional advection–diffusion reaction equation
TL;DR: In this article , a modified fractional explicit group method (MFEGM) was proposed for solving the two-dimensional TFADRE with suitable initial and boundary conditions, and the proposed method is established using a difference scheme based on L 1 discretization in temporal direction and central difference approximations with double spacing in spatial direction.
read more
Abstract: The time-fractional advection–diffusion reaction equation (TFADRE) is a fundamental mathematical model because of its key role in describing various processes such as oil reservoir simulations, COVID-19 transmission, mass and energy transport, and global weather production. One of the prominent issues with time fractional differential equations is the design of efficient and stable computational schemes for fast and accurate numerical simulations. We construct in this paper, a simple and yet efficient modified fractional explicit group method (MFEGM) for solving the two-dimensional TFADRE with suitable initial and boundary conditions. The proposed method is established using a difference scheme based on L1 discretization in temporal direction and central difference approximations with double spacing in spatial direction. For comparison purposes, the Crank–Nicolson finite difference method (CNFDM) is proposed. The stability and convergence of the presented methods are theoretically proved and numerically affirmed. We illustrate the computational efficiency of the MFEGM by comparing it to the CNFDM for four numerical examples including fractional diffusion and fractional advection–diffusion models. The numerical results show that the MFEGM is capable of reducing iteration count and CPU timing effectively compared to the CNFDM, making it well-suited to time fractional diffusion equations.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
On numerical solution of two-dimensional variable-order fractional diffusion equation arising in transport phenomena
Fouad Mohammad Salama,Faisal Fairag +1 more
TL;DR: Numerical solution of the two-dimensional variable-order fractional diffusion equation arising in transport phenomena using novel difference schemes and efficient methods.
2
An intelligent non-uniform mesh to improve errors of a stable numerical method for time-tempered fractional advection–diffusion equation with weakly singular solution
M. Ahmadinia,M. Abbasi,Pejman Hadi +2 more
On Numerical Simulations of Variable-Order Fractional Cable Equation Arising in Neuronal Dynamics
TL;DR: Numerical simulations of variable-order fractional cable equation arising in neuronal dynamics are presented. Two numerical schemes are proposed and analyzed for solving the problem. The explicit decoupled group method is shown to be more efficient than the Crank–Nicolson finite difference scheme.
A Novel Numerical Method for Solving Two‐Dimensional Fractional Mobile/Immobile Equation in Subsurface Pollutant Transport and Groundwater Flow
Muhammad Asim Khan,Majid Khan Majahar Ali,Saratha Sathasivam,Muhammad Asim Khan,Majid Khan Majahar Ali,Saratha Sathasivam +5 more
Abstract: ABSTRACT This study presents a new numerical approach specifically developed to solve the two‐dimensional fractional mobile/immobile equation (FMIE). These equations have various applications in areas such as subsurface pollutant transport, groundwater flow, and heat transfer in porous media. The suggested method utilizes the compact higher order finite difference scheme (CHFDS) and incorporates the Crank–Nicolson (C–N) method. This combination results in a unique combination of unconditional stability and a high convergence order of . The method achieves accuracy and efficiency by utilizing the C–N fourth‐order finite difference scheme for spatial variables and the Caputo derivative for temporal fractional derivatives. The proposed approach effectively manages complex FMIEs in real‐world scenarios, optimizing computational efficiency, minimizing simulation time, and enhancing robustness. The results confirm the enhanced precision and efficiency compared to conventional methods, hence reinforcing the practical significance of the CHFDS methodology.
References
A new collection of real world applications of fractional calculus in science and engineering
TL;DR: This review article aims to present some short summaries written by distinguished researchers in the field of fractional calculus that will guide young researchers and help newcomers to see some of the main real-world applications and gain an understanding of this powerful mathematical tool.
1.4K
On History of Mathematical Economics: Application of Fractional Calculus
Vasily E. Tarasov
- 04 Jun 2019
TL;DR: A review of the history of applications of fractional calculus in modern mathematical economics and economic theory can be found in this article, where the main mathematical tool designed to "cure amnesia" in economics is a theory of integrals, derivatives, sums, and differences of non-integer orders.
207
Anomalous diffusion: A basic mechanism for the evolution of inhomogeneous systems
Fernando A. Oliveira,Rogelma M. S. Ferreira,Luciano C. Lapas,Mendeli H. Vainstein,Mendeli H. Vainstein +4 more
TL;DR: In this article, the authors review classical and recent results in anomalous diffusion and provide mechanisms useful for the study of the fundamentals of certain processes, mainly in condensed matter physics, chemistry and biology.
179
Wavelets optimization method for evaluation of fractional partial differential equations: an application to financial modelling
TL;DR: In this paper, a wavelets optimization method is employed for elucidations of fractional partial differential equations of pricing European option accompanied by a Levy model, where the novelty of the proposed method is the inclusion of differential evolution algorithm (DE) in the Legendre wavelets method for the optimized approximations of the unknown terms of the wavelets.
Numerical Simulation and Stability Analysis for the Fractional-Order Dynamics of COVID-19
Harendra Singh,Hari M. Srivastava,Hari M. Srivastava,Hari M. Srivastava,Zakia Hammouch,Kottakkaran Sooppy Nisar +5 more
TL;DR: In this article, an efficient computational method based on discretization of the domain and memory principle is proposed to solve this fractional-order corona model numerically and the stability of the proposed method is also discussed.
96