| Re: [eigen] Adapting code from OpenCV (a seemingly much faster SVD) |
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- To: eigen@xxxxxxxxxxxxxxxxxxx
- Subject: Re: [eigen] Adapting code from OpenCV (a seemingly much faster SVD)
- From: Rohit Garg <rpg.314@xxxxxxxxx>
- Date: Sat, 18 Apr 2009 18:29:57 +0530
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License appears to be BSD like. License gurus, what say you?
On Sat, Apr 18, 2009 at 6:25 PM, Hauke Heibel
<hauke.heibel@xxxxxxxxxxxxxx> wrote:
> Hi,
>
> After performing some comparisons with Eigen's SVD (see attachment), I am
> wondering whether it might be of interest or possible at all to use the
> decomposition from OpenCV. I would volunteer :) to port it - maybe in a
> first step as a new SVD class in the 'disabled' folder that enables
> repeatable comparisons. This would obviously only make sense in case it is
> possible at all to use the code I have from the OpenCV lib. Actually, I
> ported the code before to our own hand-crafted linear algebra lib. But for
> Eigen, one definitely needs to take care of license issues. Since I have
> very little knowledge about these things, I am wondering whether somebody
> could comment on the attached license file - afaik, it is the same as when I
> copied the SVD code.
>
> The test results from the attached PDF were generated with double precision,
> dynamic size matrices of dimensions 25x25 up to 200x200 - each decomposition
> has been run 100 times. The graph contains the mean decomposition time in
> seconds for different matrix sizes (y-axis). The standard deviations in the
> legend are the deviations that occured while performing one and the same
> decomposition 100 times.
>
> Any comments would be welcome...
>
> Regards,
> Hauke
>
>
--
Rohit Garg
http://rpg-314.blogspot.com/
Senior Undergraduate
Department of Physics
Indian Institute of Technology
Bombay