Alan G Isaac wrote:
> Hi Zach,
>
> The use case I requested was for iteration over a
> matrix where it is desirable that matrices are yielded.
> That is not what you offered.
>
> The context for this request is my own experience:
> whenever I have needed to iterate over matrices,
> I have always wanted the arrays. So I am simply
> interested in seeing an example of the opposite desire.
Gram-Schmidt orthogonalization.
ortho = [mat[0] / sqrt(mat[0] * mat[0].T)]
for rowv in mat[1:]:
for base in ortho:
rowv = rowv - base * float(rowv * base.T)
rowv = rowv / sqrt(rowv * rowv.T)
ortho.append(rowv)
--
Robert Kern
"I have come to believe that the whole world is an enigma, a harmless enigma
that is made terrible by our own mad attempt to interpret it as though it had
an underlying truth."
-- Umberto Eco
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