Matjaz Bezovnik wrote:
This is something which is done often in FEM methods, and the alike.
I have matrix A of 3x3 elements, and B, of the same number of
elements, 3x3.
What would be the most obvious way to assemble a matrix which:
a11 a12 a13
a21 a22 a23
a31 a32 a33+b11 b12 b13
Matjaz Bezovnik wrote:
If you are using numpy (which it sounds like you are):
IDLE 2.6.2
import numpy as np
v = np.array([[0,1,2],[3,4,5],[6,7,8]], dtype=float)
v
array([[ 0., 1., 2.],
[ 3., 4., 5.],
[ 6., 7., 8.]])
w = np.array([[10,11,12],[13,14,15],[16,17,18]],
On Tue, 25 Aug 2009 08:26:44 -0700, Scott David Daniels
scott.dani...@acm.org wrote:
Matjaz Bezovnik wrote:
If you are using numpy (which it sounds like you are):
IDLE 2.6.2
import numpy as np
v = np.array([[0,1,2],[3,4,5],[6,7,8]], dtype=float)
v
array([[ 0., 1., 2.],
[ 3.,
On 25 Aug, 17:37, Matjaz Bezovnik mbezov...@freenet.si wrote:
Scott, thank you very much for the snippet.
It is exactly what I looked for; simple to read and obvious as to what
it does even a month later to a non-pythonist!
Since you were talking about matrices, observe that numpy has a
On 2009-08-24 21:30 PM, Matjaz Bezovnik wrote:
Dear all,
I'm but a layman so do not take offence at this maybe over simple
question.
This is something which is done often in FEM methods, and the alike.
I have matrix A of 3x3 elements, and B, of the same number of
elements, 3x3.
What would be
Dear all,
I'm but a layman so do not take offence at this maybe over simple
question.
This is something which is done often in FEM methods, and the alike.
I have matrix A of 3x3 elements, and B, of the same number of
elements, 3x3.
What would be the most obvious way to assemble a matrix
