On Thu, Feb 28, 2008 at 06:55:11PM -0600, Robert Kern wrote:
> On Thu, Feb 28, 2008 at 6:43 PM, Geoffrey Irving <[EMAIL PROTECTED]> wrote:
> > > The magic is in In[27]. We reshape the array of vectors to be
> > > compatible with the shape of the array of matrices. When we multiply
> > > the two
On Thu, Feb 28, 2008 at 6:43 PM, Geoffrey Irving <[EMAIL PROTECTED]> wrote:
> > The magic is in In[27]. We reshape the array of vectors to be
> > compatible with the shape of the array of matrices. When we multiply
> > the two together, it is as if we multiplied two (n,3,3) matrices, the
> > la
On Thu, Feb 28, 2008 at 05:57:29PM -0600, Robert Kern wrote:
> On Thu, Feb 28, 2008 at 4:34 PM, Geoffrey Irving <[EMAIL PROTECTED]> wrote:
> > Hello,
> >
> > I have a large number of points (shape (n,3)), and a matching
> > number of 3x3 matrices (shape (n,3,3)), and I want to compute
> > the pr
On Thu, Feb 28, 2008 at 4:34 PM, Geoffrey Irving <[EMAIL PROTECTED]> wrote:
> Hello,
>
> I have a large number of points (shape (n,3)), and a matching
> number of 3x3 matrices (shape (n,3,3)), and I want to compute
> the product of each matrix times the corresponding point.
>
> I can't see a wa
Hello,
I have a large number of points (shape (n,3)), and a matching
number of 3x3 matrices (shape (n,3,3)), and I want to compute
the product of each matrix times the corresponding point.
I can't see a way to do this operation with dot or tensordot,
since these routines either sum across an inde
