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

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Advance Math

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

A)use Jacobi iteration.

B) use Gauss-siedel iteration.

1) make sure to use SOR with w=1.25, w=1.5, w=1.75,w=1.9, andoptimal value if given.

* A=[1,-2,0,0;-2,5,-1,0;0,-1,2,-0.5;0,0,-0.5,1.25]] ,B=[-3;5;2;3.5]. , (optimal w is 1.5431.)

Answer & Explanation Solved by verified expert
4.5 Ratings (761 Votes)
Matlab code for Gauss Siedel Method and Jacobi methodclear allclose allAmatrix is the Coefficient Marix Abmatrix is the ResultMatrix bAmatrix1 2 0 02 5 1 00 1 2 050 0 05 125bmatrix35235ww125 15 175 19total number of iterationsitr100exact solutionx00 0 0 0displaying the matrixfprintfThe A matrix is ndispAmatrixfprintfThe b matrix is    See Answer
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