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Elliptic Partial Differential Equations – Gauss-Seidel Method

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1 Elliptic Partial Differential Equations – Gauss-Seidel Method
Transforming Numerical Methods Education for STEM Undergraduates 1/18/2019 1

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5 Physical Example of an Elliptic PDE

6 Discretizing the Elliptic PDE

7 The Gauss-Seidel Method
Recall the discretized equation This can be rewritten as For the Gauss-Seidel Method, this equation is solved iteratively for all interior nodes until a pre-specified tolerance is met.

8 Example 2: Gauss-Seidel Method
Consider a plate that is subjected to the boundary conditions shown below. Find the temperature at the interior nodes using a square grid with a length of using the Gauss-Siedel method. Assume the initial temperature guess at all interior nodes to be

9 Example: Gauss-Seidel Method
We can discretize the plate by taking

10 Example: Gauss-Seidel Method
The nodal temperatures at the boundary nodes are given by:

11 Example: Gauss-Seidel Method
Now we can begin to solve for the temperature at each interior node using Assume all internal nodes temperature guess of zero. Iteration #1 i=1 and j=1 i=1 and j=2

12 Example: Gauss-Seidel Method
After the first iteration, the temperatures are as follows. These will now be used as the nodal temperatures for the second iteration.

13 Example: Gauss-Seidel Method
Iteration #2 i=1 and j=1

14 Example: Gauss-Seidel Method
The figures below show the temperature distribution and absolute relative error distribution in the plate after two iterations: Temperature Distribution Absolute Relative Approximate Error Distribution

15 Example: Gauss-Seidel Method
Node Temperature Distribution in the Plate (°C) Number of Iterations 1 2 10 9.2773

16 The End

17 Acknowledgement This instructional power point brought to you by Numerical Methods for STEM undergraduate Committed to bringing numerical methods to the undergraduate

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This material is based upon work supported by the National Science Foundation under Grant # Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

19 The End - Really


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