On 15 Mar 2014 19:02, "Charles R Harris" <charlesr.harris@gmail.com> wrote:
> Just to throw something new into the mix
>  u@v@w = u@(v@w) -- u@v is a dyadic matrix
>  u@v -- is a scalar
> It would be nice if u@v@None, or some such, would evaluate as a dyad. Or else we will still need the concept of row and column 1-D matrices. I still think v.T should set a flag so that one can distinguish u@v.T (dyad) from u.T@v (inner product), where 1-D arrays are normally treated as column vectors.

This sounds important but I have no idea what any of it means :-) (What's a dyadic matrix?) Can you elaborate?