Most of the time, it just needs the largest or smallest eigenvalues/vectors.
But unfortunately, it needs more.
Thanks.
2009-04-29
Zhenxin Zhan
发件人： Sebastian Walter
发送时间： 2009-04-29 02:17:38
收件人： Discussion of Numerical Python
抄送：
主题： Re: [Numpy-discussion] MemoryError for computin
+1 to that
Often, one is only interested in the largest or smallest
eigenvalues/vectors of a problem. Then the method of choice are
iterative solvers, e.g. Lanczos algorithm.
If only the largest eigenvalue/vector is needed, you could try the
power iteration.
On Wed, Apr 29, 2009 at 7:49 AM, Zh
On Tue, Apr 28, 2009 at 11:49 PM, Zhenxin Zhan wrote:
> Thanks. My mistake.
>
> The os is 32-bit. I am doing a network-simulation for my teacher. The
> average degree of the network topology is about 6.0. So I think it is
> sparse.
>
> The paper needs the eigen values and the eigen vectors which
Zhenxin Zhan wrote:
> Thanks for your reply.
> My os is Windows XP SP3. I tried to use array(ojb, dtype=float), but
> it didn't work. And I tried 'float32' as you told me. And here is the
> error message:
> File "C:\Python26\Lib\site-packages\numpy\linalg\linalg.py", line 791,
> in eig
> a, t, resu
2009/4/28 Zhenxin Zhan
> Thanks for your reply.
>
> My os is Windows XP SP3. I tried to use array(ojb, dtype=float), but it
> didn't work. And I tried 'float32' as you told me. And here is the error
> message:
>
>
> File "C:\Python26\Lib\site-packages\numpy\linalg\linalg.py", line 791, in
> e
Thanks for your reply.
My os is Windows XP SP3. I tried to use array(ojb, dtype=float), but it didn't
work. And I tried 'float32' as you told me. And here is the error message:
File "C:\Python26\Lib\site-packages\numpy\linalg\linalg.py", line 791, in eig
a, t, result_t = _convertarray(a) #
Zhenxin Zhan wrote:
> Hello,
>
> I am a new learner of Numpy. From 'numpybook', I use
> numpy.linalg.eig(A) to calculate a matrix 2,000*2,000 and it works well.
>
> But, when I calculate eigen vector for 10,000*10,000 matrix, there is
> 'MemoryError' error message in statement numpy.array(...)
Hello,
I am a new learner of Numpy. From 'numpybook', I use numpy.linalg.eig(A) to
calculate a matrix 2,000*2,000 and it works well.
But, when I calculate eigen vector for 10,000*10,000 matrix, there is
'MemoryError' error message in statement numpy.array(...). My laptop has 4GB
memory.
How
