[Numpy-discussion] Re : Array of matrices - Inverse and dot
Mon Jan 26 09:47:23 CST 2009
On Mon, Jan 26, 2009 at 10:25 AM, Jean-Baptiste Rudant
> Thank you, but my example was bad. I have to deal with matrices which can be
> De : David Cournapeau <firstname.lastname@example.org>
> À : Discussion of Numerical Python <email@example.com>
> Envoyé le : Lundi, 26 Janvier 2009, 16h18mn 33s
> Objet : Re: [Numpy-discussion] Array of matrices - Inverse and dot
> On Mon, Jan 26, 2009 at 11:59 PM, Jean-Baptiste Rudant
> <firstname.lastname@example.org> wrote:
>> I would like to operate in an easy and efficient way (without python
>> loop) with arrays of matrices.
>> Suppose a and b are some arrays of N1*N2 matrices of size 3*3, I would
>> to calculate inv_a and dot_ab, which would be arrays of N1*N2
>> (3*3)-matrices, such as :
> If you only care about 3*3 matrices, I would consider using
> "developed" formula of a 3x3 matrix inverse coded in numpy. numpy.inv
> will be quite slow for such small matrices anyway (all the machinery
> to call the underlying C code being almost certainly the bottleneck).
There is numpy.tensordot and numpy.tensorinv which looks like it might
be doing what you want, but I never used it.
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