Please finish the Python code where it is stated #YOUR CODE HERE, the program wants us to Reduce the symmetric matrix A to tridiagonal form using orthogonal transformation Q^T A Q.

def symtridiagonalize(A): Reduce the symmetric matrix A to tridiagonal form using orthogonal transformation QT AQ B A.copy() n -len(B) for i in range(n 2): v B[i+1:,1].copy() # Turn into a normalized vector representing # the reflection 1-2 v v^T # YOUR CODE HERE raise NotImplementedError() V.append (v) return B, Qas_explicit(V) Ahat, Q symtridiagonalize(A) print (Ahat) # Symmetric and tridiagonal print( Error:', np.linalg.norm(Q.T@ A Q Ahat)) def symtridiagonalize(A): Reduce the symmetric matrix A to tridiagonal form using orthogonal transformation QT AQ B A.copy() n -len(B) for i in range(n 2): v B[i+1:,1].copy() # Turn into a normalized vector representing # the reflection 1-2 v v^T # YOUR CODE HERE raise NotImplementedError() V.append (v) return B, Qas_explicit(V) Ahat, Q symtridiagonalize(A) print (Ahat) # Symmetric and tridiagonal print( Error:', np.linalg.norm(Q.T@ A Q Ahat))