Chebyshev pseudospectral method for computing numerical solution of convection–diffusion equation

2008 ◽  
Vol 200 (2) ◽  
pp. 537-546 ◽  
Author(s):  
F.S.V. Bazán
Keyword(s):  
Diffusion Equation ◽  
Numerical Solution ◽  
Pseudospectral Method ◽  
Chebyshev Pseudospectral Method ◽  
Convection Diffusion ◽  
Convection Diffusion Equation ◽  
Chebyshev Pseudospectral

The Best Perturbation Method for the Parameter Inversion of Two-Dimension Convection-Diffusion Equation

2013 ◽  
Vol 380-384 ◽  
pp. 1143-1146
Author(s):  
Xiang Guo Liu
Keyword(s):  
Inverse Problem ◽  
Diffusion Equation ◽  
Perturbation Method ◽  
Numerical Simulations ◽  
Numerical Solution ◽  
Two Dimensional ◽  
Convection Diffusion ◽  
Convection Diffusion Equation ◽  
Parameter Inversion ◽  
Parametric Inversion

The paper researches the parametric inversion of the two-dimensional convection-diffusion equation by means of best perturbation method, draw a Numerical Solution for such inverse problem. It is shown by numerical simulations that the method is feasible and effective.

scholarly journals On the numerical solution of the one-dimensional convection-diffusion equation

2005 ◽  
Vol 2005 (1) ◽  
pp. 61-74 ◽  
Author(s):  
Mehdi Dehghan
Keyword(s):  
Differential Equation ◽  
Partial Differential Equation ◽  
Finite Difference ◽  
Diffusion Equation ◽  
Numerical Solution ◽  
Partial Differential ◽  
One Dimensional ◽  
Convection Diffusion ◽  
Convection Diffusion Equation ◽  
The One

The numerical solution of convection-diffusion transport problems arises in many important applications in science and engineering. These problems occur in many applications such as in the transport of air and ground water pollutants, oil reservoir flow, in the modeling of semiconductors, and so forth. This paper describes several finite difference schemes for solving the one-dimensional convection-diffusion equation with constant coefficients. In this research the use of modified equivalent partial differential equation (MEPDE) as a means of estimating the order of accuracy of a given finite difference technique is emphasized. This approach can unify the deduction of arbitrary techniques for the numerical solution of convection-diffusion equation. It is also used to develop new methods of high accuracy. This approach allows simple comparison of the errors associated with the partial differential equation. Various difference approximations are derived for the one-dimensional constant coefficient convection-diffusion equation. The results of a numerical experiment are provided, to verify the efficiency of the designed new algorithms. The paper ends with a concluding remark.

scholarly journals A Hybrid Differential Transforms and Finite Difference Method to Numerical Solution of Convection–Diffusion Equation

2021 ◽  
Vol 8 (6) ◽  
pp. 90-94
Author(s):  
Noorulhaq Ahmadi ◽  
Mohammadi Khan Mohammadi
Keyword(s):  
Partial Differential Equations ◽  
Finite Difference ◽  
Finite Difference Method ◽  
Diffusion Equation ◽  
Boundary Conditions ◽  
Numerical Solution ◽  
Difference Method ◽  
Convection Diffusion ◽  
Convection Diffusion Equation ◽  
Type Boundary

In this work, we discuss a hybrid-based method on differential transforms and a finite difference method to numerical solution of convection–diffusion equation with Dirichlet’s type boundary conditions. The developed method is tested on various problems and the numerical results are reported in tabular and figure form. This method can be easily extended to handle non-linear convection–diffusion partial differential equations.

scholarly journals Solving Hyperchaotic Systems Using the Spectral Relaxation Method

2012 ◽  
Vol 2012 ◽  
pp. 1-18 ◽  
Author(s):  
S. S. Motsa ◽  
P. G. Dlamini ◽  
M. Khumalo
Keyword(s):  
Dynamical Systems ◽  
Numerical Solution ◽  
Numerical Method ◽  
Pseudospectral Method ◽  
Relaxation Method ◽  
Chebyshev Pseudospectral Method ◽  
Spectral Relaxation Method ◽  
Spectral Relaxation ◽  
Chebyshev Pseudospectral ◽  
Hyperchaotic Systems

A new multistage numerical method based on blending a Gauss-Siedel relaxation method and Chebyshev pseudospectral method, for solving complex dynamical systems exhibiting hyperchaotic behavior, is presented. The proposed method, called the multistage spectral relaxation method (MSRM), is applied for the numerical solution of three hyperchaotic systems, namely, the Chua, Chen, and Rabinovich-Fabrikant systems. To demonstrate the performance of the method, results are presented in tables and diagrams and compared to results obtained using a Runge-Kutta-(4,5)-based MATLAB solver,ode45, and other previously published results.

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