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axis parameter support for matrix inverse function (numpy.linalg.inv) (Trac #1620) #2216

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numpy-gitbot opened this issue Oct 19, 2012 · 4 comments

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@numpy-gitbot
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Original ticket http://projects.scipy.org/numpy/ticket/1620 on 2010-09-25 by trac user rogerbrent, assigned to @pv.

This would make it possible to compute multiple matrix inverses at once for arrays with shapes like (10, 2, 2), without having to resort to a loop.

I don't believe there is currently anything in NumPy that lets you do this.

stefanv pushed a commit to stefanv/numpy that referenced this issue Oct 20, 2012
seberg added a commit to seberg/numpy that referenced this issue Oct 23, 2012
teoliphant pushed a commit to ContinuumIO/numpy that referenced this issue Nov 6, 2012
@harpone
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harpone commented Jul 29, 2013

Hi! How is it going with this implementation? I could really use it already! ;)

@seberg
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seberg commented Jul 29, 2013

Unrelated from this issue, some linalg functions, including this one, are now gufuncs. They don't have an axis parameter, but any additional axis to the right are iterated.

@seberg seberg closed this as completed Jul 29, 2013
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seberg commented Jul 29, 2013

You will need to install the development version to use the feature though.

@harpone
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harpone commented Jul 29, 2013

OK thanks seberg!!

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