Use ten iterations of the appropriate MATLAB function, with x^(0)=[0,...,0]', to solve Ax=b (approximately). B) use Gauss-siedel...

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Use ten iterations of the appropriate MATLAB function, withx^(0)=[0,...,0]', to solve Ax=b (approximately).

B) use Gauss-siedel iteration.

C)use SOR with w=1.25, w=1.5, w=1.75,w=1.9, and optimal value ifgiven.

* A=[4,8,0,0;8,18,2,0;0,2,5,1.5;0,0,1.5,1.75] ,B=[8;18;0.5;-1.75]. , (optimal w is 1.634.)

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Matlab code for Gauss Siedel Method and Jacobi methodclear allclose allAmatrix is the Coefficient Marix Abmatrix is the ResultMatrix bAmatrix480081820025150015175bmatrix81805175ww125 15 175 19total number of iterationsitr10exact solutionx00 0 0 0displaying the matrixfprintfThe A matrix is dispAmatrixfprintfThe b matrix is    See Answer
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