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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