[Numpy-discussion] matrix norm

[Jason Grout]

I'm curious why scipy/numpy defaults to calculating the Frobenius norm 
for matrices [1], when Matlab, Octave, and Mathematica all default to 
calculating the induced 2-norm [2].  Is it solely because the Frobenius 
norm is easier to calculate, or is there some other good mathematical 
reason for doing things differently?

Thanks,

Jason

[1] 
http://docs.scipy.org/doc/numpy/reference/generated/numpy.linalg.norm.html

[2]

* Matlab (http://www.mathworks.com/help/matlab/ref/norm.html).
* Octave (http://www.network-theory.co.uk/docs/octave3/octave_198.html).
* Mathematica (http://reference.wolfram.com/mathematica/ref/Norm.html)