Luc Maisonobe wrote:
> Luc Maisonobe a écrit :
>> Dimitri Pourbaix a écrit :
>>> Hi,
>> Hi Dimitri,
>>
>>> In its present form (CM2.0), SingularValueDecomposition suffers some
>>> problems when the matrix is (numerically) singular. Luc proposed a
>>> way to improve the situation by limiting the si
--
From: "Luc Maisonobe"
Sent: Tuesday, February 02, 2010 11:26 AM
To: "Commons Developers List"
Subject: Re: [math] Work going on on SVD
Luc Maisonobe a écrit :
Dimitri Pourbaix a écrit :
Hi,
Hi Dimitri,
In its
Luc,
I think we should wait for this issue to be solved before publishing
2.1. It is currently targeted at 2.2 but I would vote to solve it
earlier. It is really a big drawback of the current implementation. Not
being able to decompose identity is rather sad ...
I agree.
This would be a nice
Luc Maisonobe a écrit :
> Dimitri Pourbaix a écrit :
>> Hi,
>
> Hi Dimitri,
>
>> In its present form (CM2.0), SingularValueDecomposition suffers some
>> problems when the matrix is (numerically) singular. Luc proposed a
>> way to improve the situation by limiting the singular values to non
>> ze
Dimitri Pourbaix a écrit :
> Hi,
Hi Dimitri,
>
> In its present form (CM2.0), SingularValueDecomposition suffers some
> problems when the matrix is (numerically) singular. Luc proposed a
> way to improve the situation by limiting the singular values to non
> zero ones. Whereas the result is OK
Hi,
In its present form (CM2.0), SingularValueDecomposition suffers some
problems when the matrix is (numerically) singular. Luc proposed a
way to improve the situation by limiting the singular values to non
zero ones. Whereas the result is OK if someone is interested in getting
the singular va
