On 12/10/10 12:09 PM, William Stein wrote:
In numpy, the conjugate transpose is A.H, the transpose is A.T, and the
> inverse is A.I. I'd love if we adopted those shortcuts (as properties
A.H seems arbitrary? Why "H"? Consistency with numpy is a good
argument for supporting this though.
It's standard notation in linear algebra (i.e., A^H=conjugate transpose
of A) [1].
Thanks,
Jason
[1] See http://mathworld.wolfram.com/ConjugateTranspose.html
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