PDEs. Currently implemented
models include phase field treatments of polycrystalline, dendritic, and
electrochemical phase transformations as well as a level set treatment of
the electrodeposition process.
--
Daniel Wheeler
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On Tue, Aug 16, 2011 at 5:53 AM, David Warde-Farley
wrote:
> On 2011-08-15, at 4:11 PM, Daniel Wheeler wrote:
>
>> One thing that I know I'm doing wrong is
>> reassigning every sub-matrix to a new array. This may not be that
>> costly, but it seems fairly ugly.
s
>
> If you want to go the Cython route, here's a start:
>
> http://www.vetta.org/2009/09/tokyo-a-cython-blas-wrapper-for-fast-matrix-math/
>
> Dag Sverre
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On Tue, Jul 12, 2011 at 11:19 AM, Sturla Molden wrote:
> Den 11.07.2011 23:01, skrev Daniel Wheeler:
> To make the loop over N matrices fast, there is nothing that beats a
> loop in C or Fortran (or Cython) if you have a 3D array. And that brings
> us to the second issue, which is t
On Tue, Jul 12, 2011 at 10:52 AM, Dag Sverre Seljebotn
wrote:
> On 07/12/2011 04:10 PM, Daniel Wheeler wrote:
>> On Tue, Jul 12, 2011 at 3:51 AM, Dag Sverre Seljebotn
>> Thanks for the heads up. Looks like an option. Presumably, it would
>> still have to use "map"
On Tue, Jul 12, 2011 at 3:51 AM, Dag Sverre Seljebotn
wrote:
> On 07/11/2011 11:01 PM, Daniel Wheeler wrote:
>> Hi, I am trying to find the eigenvalues and eigenvectors as well as
>> the inverse for a large number of small matrices. The matrix size
> If you want to go the Cyth
uot; and
"inv". Using "sum" helps too. Given A, calculating "Abar = R E inv(R)"
can then simply be written
eigenvalues, R = sortedeig(A)
E = abs(eigenvalues) * numerix.identity(eigenvalues.shape[0])[..., np.newaxis]
Abar = mul(mul(R, E), inv(R))
Maybe there is a be
g on this subject. He isn't on this list. He will be there from
midday the Wednesday of the conference. Is this BoF still of interest?
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peau wrote:
> On Wed, Jul 29, 2009 at 2:38 AM, Daniel
> Wheeler wrote:
>> -Wall -Wstrict-prototypes -fPIC
>>
>> compile options: '-c'
>> gcc: _configtest.c
>> gcc: error trying to exec 'cc1': execvp: No such file or directory
>> gcc: error
umpy-1.3.0/numpy/distutils/command/build_src.py",
line 250, in build_extension_sources
sources = self.generate_sources(sources, ext)
File
"/users/wd15/Documents/python/numpy-1.3.0/numpy/distutils/command/build_src.py",
line 307, in generate_sources
source = func(extension, bu
mpiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv
-O3 -Wall -Wstrict-prototypes -fPIC
compile options: '-Inumpy/core/src -Inumpy/core/include
-I/users/wd15/usr/i686/4.0/include/python2.6 -c'
so the build seems to be aware of the include location. Any ideas?
Cheers
--
Dani
((var00(i) * var01(i)) + (var10(i) * var11(i)))'
Actually, we could and should have been using numexpr to do this. I
think numexpr would substantially clean up
the code we've developed. Anyway, you can browse variable.py at
<http://matdl-osi.org/fipy/browser/trunk/fipy/variables/va
On Mar 25, 2007, at 9:44 PM, Robert Kern wrote:
For building extensions, either use numpy.distutils, which will
take care of
everything for you, or use numpy.get_include() to get the directory
with headers.
get_include() does the trick. Thanks for your help.
--
Daniel Wheeler
Hi,
Should the header files in
.../lib/python2.4/site-packages/python/numpy/core/include/
be copied to
.../include/python2.4/numpy/
upon installation of numpy? As far as I can tell this is not happening.
Just wondering what the default behavior should be.
Thanks
--
Daniel
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