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Elliptic Partial Differential Equations – Gauss-Seidel Method
Transforming Numerical Methods Education for STEM Undergraduates 1/18/2019 1
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Physical Example of an Elliptic PDE
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Discretizing the Elliptic PDE
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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.
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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
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Example: Gauss-Seidel Method
We can discretize the plate by taking
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Example: Gauss-Seidel Method
The nodal temperatures at the boundary nodes are given by:
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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
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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.
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Example: Gauss-Seidel Method
Iteration #2 i=1 and j=1
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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
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Example: Gauss-Seidel Method
Node Temperature Distribution in the Plate (°C) Number of Iterations 1 2 10 9.2773
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The End
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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.
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The End - Really
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