How Can TDMA and Gauss-Seidel Line Relaxation Solve a Complex PDE in MATLAB?

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SUMMARY

This discussion focuses on solving a complex partial differential equation (PDE) using MATLAB, specifically employing the Tri-Diagonal Matrix Algorithm (TDMA) and Gauss-Seidel line relaxation methods. The equation in question is A∂²φ/∂x² + ∂²φ/∂y² = 0, with parameters A, M²∞, and γ defined as A = 1 - M²∞ - (γ + 1)M²∞/u∞∂φ/∂x, where u∞ = 1, M²∞ = 0.975, and γ = 1.4. The discussion highlights the importance of numerical methods for solving PDEs and suggests utilizing MATLAB's PDE Toolbox for efficient implementation.

PREREQUISITES
  • Understanding of partial differential equations (PDEs)
  • Familiarity with numerical methods, specifically TDMA and Gauss-Seidel line relaxation
  • Proficiency in MATLAB programming
  • Knowledge of MATLAB's PDE Toolbox
NEXT STEPS
  • Explore MATLAB's PDE Toolbox for solving PDEs
  • Research the implementation of TDMA in MATLAB
  • Learn about Gauss-Seidel line relaxation techniques
  • Study finite difference and finite element methods for PDEs
USEFUL FOR

This discussion is beneficial for engineers, physicists, and researchers who are working with partial differential equations and require numerical solutions using MATLAB.

tetirichie
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Hi

Urgent Thanks in advance.

Could somebody who knows how to solve the above mentioned equation please assist.The equation needs to be solved using any language but I am now very comfortable with matlab.

I am trying to solve the following eqaution using TDMA and Gauss-Seidel line relaxation:

A\frac{\partial^2 \phi}{\partial x^2} + \frac{\partial^2 \phi}{\partial y^2} = 0

A = 1 - M^2_\infty - (\gamma + 1)\frac{M^2_\infty}{u_\infty}\frac{\partial \phi}{\partial x}

u_\infty = 1 ; M^2_\infty = 0.975 ; \gamma = 1.4

My email is teti@myself.com

With Regards,

Richard
 
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Are there any problems with an iteration loop on A to handle the non-linearity embedded in it?
 


Hi Richard,

Thank you for reaching out for assistance with solving your partial differential equation. I am not able to solve it for you, but I can provide some guidance and resources that may be helpful.

A partial differential equation (PDE) is an equation that involves multiple independent variables and their partial derivatives. In your case, the equation has two independent variables, x and y, and their second order partial derivatives. PDEs are commonly used in physics, engineering, and other fields to model complex systems and phenomena.

To solve a PDE, there are various numerical methods that can be used, such as finite difference, finite element, and spectral methods. TDMA (Tri-Diagonal Matrix Algorithm) and Gauss-Seidel line relaxation are two specific methods that can be used to solve PDEs numerically. These methods involve breaking down the problem into a system of linear equations and iteratively solving them to approximate the solution to the PDE.

Since you mentioned that you are comfortable with MATLAB, you may find it helpful to use the built-in functions and tools in MATLAB for solving PDEs. MATLAB has a PDE Toolbox that allows you to specify the PDE, boundary conditions, and numerical method, and it will solve the equation for you. There are also many online resources and tutorials available for using MATLAB for PDEs.

I hope this information helps you in solving your equation. If you have any further questions or need clarification, please feel free to reach out. Best of luck with your project!

Regards,
 

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