Dear all,

I am not an expert in NumPy but my undergraduate student is having some issues 
with the way Numpy returns the normalized eigenvectors corresponding to the 
eigenvalues. We do understand that an eigenvector is divided by the norm to get 
the unit eigenvectors, however we do need the original vectors for the purpose 
of my research. This has been a really frustrated experience as NumPy returns 
the normalized vectors as a default. I appreciate any suggestions of how to go 
about this issue. This seems to be a outstanding issue from people using Numpy.

Thanks

LP
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