[PDF][PDF] Numerical treatment of the fractional Rayleigh-Stokes problem using some orthogonal combinations of Chebyshev polynomials
This work aims to provide a new Galerkin algorithm for solving the fractional Rayleigh-
Stokes equation (FRSE). We select the basis functions for the Galerkin technique to be …
Stokes equation (FRSE). We select the basis functions for the Galerkin technique to be …
Solving some physics problems involving fractional-order differential equations with the Morgan-Voyce polynomials
In this research, we present a new computational technique for solving some physics
problems involving fractional-order differential equations including the famous Bagley …
problems involving fractional-order differential equations including the famous Bagley …
Computational analysis of a class of singular nonlinear fractional multi-order heat conduction model of the human head
M Izadi, A Atangana - Scientific Reports, 2024 - nature.com
The subject of the article is devoted to the development of a matrix collocation technique
based upon the combination of the fractional-order shifted Vieta–Lucas functions (FSVLFs) …
based upon the combination of the fractional-order shifted Vieta–Lucas functions (FSVLFs) …
[HTML][HTML] The Layla and Majnun mathematical model of fractional order: stability analysis and numerical study
In this research paper, we investigate the numerical solutions of the nonlinear complex
Layla and Majnun fractional mathematical model, which describes the emotional behavior of …
Layla and Majnun fractional mathematical model, which describes the emotional behavior of …
Fractional clique collocation technique for numerical simulations of fractional-order Brusselator chemical model
M Izadi, HM Srivastava - Axioms, 2022 - mdpi.com
The primary focus of this research study is in the development of an effective hybrid matrix
method to solve a class of nonlinear systems of equations of fractional order arising in the …
method to solve a class of nonlinear systems of equations of fractional order arising in the …
The fractional-order marriage–divorce mathematical model: numerical investigations and dynamical analysis
In this research, we present a fractional-order mathematical model that simulates the
ongoing phenomenon of marriage and divorce, which significantly impacts human lives. The …
ongoing phenomenon of marriage and divorce, which significantly impacts human lives. The …
[HTML][HTML] Chelyshkov polynomials method for distributed-order time fractional nonlinear diffusion-wave equations
MH Heydari, S Rashid, YM Chu - Results in Physics, 2023 - Elsevier
This work deals with the distributed-order time fractional nonlinear diffusion-wave equations.
These equations are generated by replacing the first-and second-order time derivative terms …
These equations are generated by replacing the first-and second-order time derivative terms …
Enhanced shifted Jacobi operational matrices of derivatives: spectral algorithm for solving multiterm variable-order fractional differential equations
HM Ahmed - Boundary Value Problems, 2023 - Springer
This paper presents a new way to solve numerically multiterm variable-order fractional
differential equations (MTVOFDEs) with initial conditions by using a class of modified shifted …
differential equations (MTVOFDEs) with initial conditions by using a class of modified shifted …
[PDF][PDF] Spectral tau technique via Lucas polynomials for the time-fractional diffusion equation
WM Abd-Elhameed, AF Abu Sunayh, MH Alharbi… - Aims Math, 2024 - aimspress.com
Here, we provide a new method to solve the time-fractional diffusion equation (TFDE)
following the spectral tau approach. Our proposed numerical solution is expressed in terms …
following the spectral tau approach. Our proposed numerical solution is expressed in terms …
Performance of Genocchi wavelet neural networks and least squares support vector regression for solving different kinds of differential equations
P Rahimkhani, Y Ordokhani - Computational and Applied Mathematics, 2023 - Springer
In this study, two numerical methods [(a) artificial neural network method with three layers
(input layer, hidden layer, output layer) and (b) least squares support vector regression (LS …
(input layer, hidden layer, output layer) and (b) least squares support vector regression (LS …