|Re: [eigen] Adapting code from OpenCV (a seemingly much faster SVD)|
[ Thread Index |
| More lists.tuxfamily.org/eigen Archives
- 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
- Dkim-signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=gamma; h=domainkey-signature:mime-version:received:in-reply-to:references :date:message-id:subject:from:to:content-type :content-transfer-encoding; bh=eRqJ8iZwRN9VpYcfevGmQGDNXPrhy3faeDW8+qXHQTo=; b=mpgf5MSyh5fw/CDsmJ4Fz7s1DSKJKVVjwd7wX+H4SFV1x/05BNq88HV3iHT4/6fpN4 GLkTnHuCdeLNbChOdM6cTof/smaW7hw1/qRqDeLJ6EILWX1UWuU3AC3HjfE3TkEn+po4 PXroqX4SZ//hIbTqSuVunOuDGyhDZuNBQzHfU=
- Domainkey-signature: a=rsa-sha1; c=nofws; d=gmail.com; s=gamma; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :content-type:content-transfer-encoding; b=hpUQ6/6dVwvKJyuc0+mSzrSG9UtxUVPvZLPvYhzlQqIYTHyCBUwxN8gu03NaGJXe8F 4KQargCDPdgSGtjpypiuwLAIzMPU/UVmYQDXtqn8lb1RiKU7Fb0njyL6tdrq1b+Ty+Ua vW0hxFo+RHhoonS+fciI8oQ4dozyVJhPDgI2E=
License appears to be BSD like. License gurus, what say you?
On Sat, Apr 18, 2009 at 6:25 PM, Hauke Heibel
> 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...
Department of Physics
Indian Institute of Technology