Hello,
If a numpy user is specially concerned with numerical linear algebra (or
more generally with Math), it may find unconvenient the use of the dot
function instead of the * operator. This behavior may be specially
unpleasant for someone migrating from Matlab.
I believe that this is the may re
Em Sex, 2006-12-15 às 23:37 +0100, Sven Schreiber escreveu:
> Paulo Jose da Silva e Silva schrieb:
>
> >
> > However, after trying to use the matrix class I have came across a major
> > roadblock: many numpy/scipy functions return an array by default and not
> > m
Em Seg, 2007-03-26 às 01:08 +1000, dpn escreveu:
> With the possible inclusion of generic functions in py3k I dont really
> see the point of adding more operators. (While i do miss mat1 x mat2
> from PDL).
>
> mat3 = mat1.mm(mat2) or the like seems to be sufficient.
>
> I find matrix multiplicati
Em Dom, 2007-03-25 às 13:07 -0400, Alan G Isaac escreveu:
> So this ::
>
> >>> x[1]
> matrix([[1, 0]])
>
> feels wrong. (Similarly when iterating across rows.)
> Of course I realize that I can just ::
>
> >>> x.A[1]
> array([1, 0])
>
> but since the above keeps feeling wrong I
>
> I'm positive I've seen col * row come up in other contexts too, though
> I can't think of any other particulars right now.
>
Add to that quasi-Newton updates for quadratic models in optimization,
like the BFGS.
Paulo
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