Question: A x = b A = np . random.normal , size = ( n , n ) np . identity ( n ) b =

Ax=b
A= np.random.normal , size =(n,n) np.identity(n)
b= np.random.normal , size =(n,1)
Two cases: (1)n=150,(2)n=250(here np means numpy)
(i) Show that the above linear equation has a unique solution
(ii) Use Python or MATLAB to construct the upper triangular and back substitution algorithm to find the solution
(iii) Use Python or MATLAB to construct the LU decomposition algoroithm to find the solution (you may need the permutation step to do the LU decomposition)
(iv) Verify your solution using numpy.linalg.solve
 Ax=b A= np.random.normal , size =(n,n) np.identity(n) b= np.random.normal , size

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