Comment #6 on issue 2225 by [email protected]: Enhancing Matrix Norm
http://code.google.com/p/sympy/issues/detail?id=2225
Response to an e-mail comment.
I chose to make the standard matrix norm the spectral norm. This matches
the standard vector 2-norm mathematically. The spectral norm is the matrix
equivalent of the "2" norm. This has nicer mathematically although poorer
computationally.
This deviates from numpy, which chooses to use the easily computable
Frobenius norm as standard. Should we be consistent with Numpy or
consistent with Mathematics?
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