lancered wrote:
>
>
>So, can you tell me what goes wrong? Is this a bug in
> Numpy.linalg? How to deal with this situation? If you need, I can
> post the matrix I used below, but it is so long,so not at the moment.
>
As you discovered, it is very likely your problem is a very high
co
In article <[EMAIL PROTECTED]>,
"lancered" <[EMAIL PROTECTED]> wrote:
> Here is the eigenvalues of KK I obtained:
>
> >>> linalg.eigvals(KK)
> array([ 1.11748411e+05, 3.67154458e+04, 3.41580846e+04,
> 2.75272440e+04, 2.09790868e+04, 1.86242332e+04,
> 8.68628325e+03,
lancered wrote:
> Here is the eigenvalues of KK I obtained:
>
> >>> linalg.eigvals(KK)
> array([ 1.11748411e+05, 3.67154458e+04, 3.41580846e+04,
> 2.75272440e+04, 2.09790868e+04, 1.86242332e+04,
> 8.68628325e+03, 6.66127732e+03, 6.15547187e+03,
> 4.6862619
Here is the eigenvalues of KK I obtained:
>>> linalg.eigvals(KK)
array([ 1.11748411e+05, 3.67154458e+04, 3.41580846e+04,
2.75272440e+04, 2.09790868e+04, 1.86242332e+04,
8.68628325e+03, 6.66127732e+03, 6.15547187e+03,
4.68626197e+03, 3.17838339e+03, 2.8
Robin Becker wrote:
> lancered wrote:
h. If
> your matrix is symmetric then you should certainly be using
a qr decomposition I meant to say :)
--
Robin Becker
--
http://mail.python.org/mailman/listinfo/python-list
lancered wrote:
> Hi dear all,
..
> matrices are correct.
>
>So, can you tell me what goes wrong? Is this a bug in
> Numpy.linalg? How to deal with this situation? If you need, I can
> post the matrix I used below, but it is so long,so not at the moment.
...
presumably the
In article <[EMAIL PROTECTED]>,
"lancered" <[EMAIL PROTECTED]> wrote:
> Hi dear all,
> I am using Python2.4.2+NumPy1.0.1 to deal with a parameter
> estimation problem with the least square methods. During the
> calculations, I use NumPy package to deal with matrix operations,
> mostly ma
Here below is the matrix KK I used:
[[ 1939.33617572 -146.94170404 0. 0. 0.
0. 0. 0. 0.
-1172.61032101
0. 0. -193.69962687 -426.08452381 0.
0. 0. 0.
On 4 Apr 2007 06:15:18 -0700, lancered <[EMAIL PROTECTED]> wrote:
> During the calculation, I noticed an apparent error of
> inverion of a 19x19 matrix. Denote this matrix as KK, U=KK^ -1, I
> found the product of U and KK is not equivalent to unit matrix! This
> apparently violate the defi
Hi dear all,
I am using Python2.4.2+NumPy1.0.1 to deal with a parameter
estimation problem with the least square methods. During the
calculations, I use NumPy package to deal with matrix operations,
mostly matrix inversion and trasposition. The dimentions of the
matrices used are about 29x
Hi dear all,
I am using Python2.4.2+NumPy1.0.1 to deal with a parameter
estimation problem with the least square methods. During the
calculations, I use NumPy package to deal with matrix operations,
mostly matrix inversion and trasposition. The dimentions of the
matrices used are about 29x
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