Hi,
In Complete linear algebra theory and implementation course, Chapter 12 jupyter notebook
reconstruction error for the matrix diagonalization was computed with (code cell 6)
rmsA = np.sqrt( np.square(np.mean( np.reshape(recondiff,(1,-1)) )) )
square and mean should be changed ; i.e.
rmsA = np.sqrt( np.mean(np.square( np.reshape(recondiff,(1,-1)) )) )
another way would be;
rmsA = np.sqrt( ( recondiff * recondiff).mean() )
