On 15 Mar 2014 19:02, "Charles R Harris" <charlesr.har...@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? -n
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