Hello,
In scilab, the QR decomposition can produce "sorted" Q and R matrices, where
diagonal elements of R are decreasing. Thus, a permutation vector E is returned,
so that X*E = Q*R.
Is there a way to compute such a permutation QR in numpy ? It seems that
numpy.linalg.qr does not sort the diago
Hello,
> Try replacing 'int' with intc (or numpy.intc if you are not using
> 'import *'). The following 'works' for me in the sense that it doesn't
> throw any errors (although I imagine the results are nonsense):
Thanks, it works now !!
Sorry for non including the whole code, I just not wante
Hello Tim,
>
> The problem is probably your definition of ipiv. "(DIM)" is just a
> parenthesized scalar, what you probably want is "(DIM,)", which is a
> one-tuple. Personally, I'd recommend using list notation ("[nbrows,
> nbcols]", "[DIM]") rather than tuple notation since it's both easier t
a clue for this ?
Regards,
Romaric
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