Try numpy.tensordot
Nadav
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of Carsten
Rostgaard
Sent: Thursday, November 23, 2006 10:06
To: numpy-discussion@scipy.org
Subject: [Numpy-discussion] dot operations on multidimensional arrays
Hi!
I am trying to
Hi,
> The question is then:
> 1) Is there any way to change the axis for which the product-sum is
> performed. This can of course be done by a swapaxis before and after the
> operation, but this makes the array non-contiguous, in which case the
> dot operation often makes bugs (at least in Numeric
On 11/23/06, Carsten Rostgaard <[EMAIL PROTECTED]> wrote:
Hi!
I am trying to use the "dot" method on multi-(more than 2)-dimensional
arrays.
Specifically I do
>> y = dot(a, b)
where a is a 2D array and b is a 3D array.
using numpy I get the the help:
"
dot(...)
dot(a,v) returns matrix-
Hi!
I am trying to use the "dot" method on multi-(more than 2)-dimensional
arrays.
Specifically I do
>> y = dot(a, b)
where a is a 2D array and b is a 3D array.
using numpy I get the the help:
"
dot(...)
dot(a,v) returns matrix-multiplication between a and b.
The product-sum is over t
