Let Z be the matrix 147 5 6 Z 7 8 7 4 2 3 4...

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Let Z be the matrix 147 5 6 Z 7 8 7 4 2 3 4 2 2 Only in Python( Not Matlab) Compute three reduced QR factorizations of Z. Use the "mgs()" routine from the last homework that implements modified Gram-Schmidt. Use the "house()" and "formQ()" routines from 10.2 to compute the second QR. And for the third QR, use NumPy's library routine. Note that you can call numpy.linalg.qr (Z, mode=' reduced'). Compare the output from these three routines, and comment on any differences you see. The differences may be large, or small. Let Z be the matrix 147 5 6 Z 7 8 7 4 2 3 4 2 2 Only in Python( Not Matlab) Compute three reduced QR factorizations of Z. Use the "mgs()" routine from the last homework that implements modified Gram-Schmidt. Use the "house()" and "formQ()" routines from 10.2 to compute the second QR. And for the third QR, use NumPy's library routine. Note that you can call numpy.linalg.qr (Z, mode=' reduced'). Compare the output from these three routines, and comment on any differences you see. The differences may be large, or small.