Comment #2 on issue 2225 by [email protected]: Enhancing Matrix Norm http://code.google.com/p/sympy/issues/detail?id=2225
Ah, so one method of computing SVD is to compute the eigenvalue decomposition of A^T*A and A*A^T (in real setting). Should this be implemented? Is this terribly slow? I'll set up another issue.
Also, I keep wanting to use a max function. Obviously this is tricky on general variables but maybe something like a Relational could be built?
I'll send up a pull request at some point with the doable functionality working and the rest raising NotImplementedErrors.
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