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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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.)
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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
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