On Wed, 18 Sep 2013 18:40:44 -0700
Antony Lee wrote:
> Thanks, I didn't know that multiprocessing Managers could be used with
> processes not started by multiprocessing itself... I will give them a try.
> I just need to compute FFTs, but speed is a real issue for me (I am using
> the results for
On Wed, Sep 18, 2013 at 2:51 AM, Antony Lee wrote:
> While I realize that this is certainly tweaking multiprocessing beyond its
> specifications, I would like to use it on Windows to start a 32-bit Python
> process from a 64-bit Python process (use case: I need to interface with a
> 64-bit DLL and
Thanks, I didn't know that multiprocessing Managers could be used with
processes not started by multiprocessing itself... I will give them a try.
I just need to compute FFTs, but speed is a real issue for me (I am using
the results for real-time feedback). To be honest I don't know yet if the
FFT
I understand ,sometimes, it is normal that number of equations are less or
more than number of unknowns that means non square matrix appearance. If so,
how would you compose Av(v) function, because I have only constant dimensional
values such as A matrix(MxN) and array b array (M)???
Среда,
On Wed, Sep 18, 2013 at 2:20 AM, Robert Kern wrote:
> Just import setuptools before doing the numpy.distutils imports. You don't
> need to use setuptools.setup() in order to get access to the
> setuptools-added commands.
>
>
Thanks --- that works fine -- I could have sworn I tried that.
-Chris
Dear Josè,
On 09/18/2013 07:10 PM, Josè Luis Mietta wrote:
> Dear Robert.
>
> Im intresting in modeling mechanical deformation of magnetorheological
> elastomers (material formed by inorganic chains inserting in a polymeric
> matrix -see figure 2 in the attached file-). The inorganic chais are lik
In [2]: %debug
> (5)Av()
4 def Av(A,v):
> 5 return np.dot(A,v)
6
ipdb> !A.shape
(4, 8)
ipdb> !v.shape
(4,)
In your code it looks like you are essentially computing A.dot(v)
where A is a 4-by-8 matrix and v is vector of length 4. That's what
the error is telling you --- that
Hello,
I am trying to solve linear Ax=b problem, but some error occurs in the process
like:
--
Traceback (most recent call last):
File "C:\Python27\Conjugate_Gradient.py", line 66, in
x, iter_number = conjGrad(Av,A, x, b)
File "C:\Python27\Conjugate_
I am pleased to announce release 2013.3 of SfePy.
Description
---
SfePy (simple finite elements in Python) is a software for solving
systems of coupled partial differential equations by the finite element
method. The code is based on NumPy and SciPy packages. It is distributed
under the ne
On Wed, Sep 18, 2013 at 12:16 AM, Chris Barker
wrote:
>
> Hi,
>
> I need to use numpy's distutils Extension to build a fortran / f2py
extension.
>
> But I also really like setuptools' "develop" mode.
Just import setuptools before doing the numpy.distutils imports. You don't
need to use setuptools
On Wed, Sep 18, 2013 at 1:51 AM, Antony Lee wrote:
>
> Hi all,
>
> While I realize that this is certainly tweaking multiprocessing beyond
its specifications, I would like to use it on Windows to start a 32-bit
Python process from a 64-bit Python process (use case: I need to interface
with a 64-bit
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