In term of license, if we consider it's an original work (i.e. not just a single translation of jama in c++) then I would prefer to have the boost license on it so that not to bother with the complexity of licensing.

If Frederic agree on it, I would like him to add this license to his work so that we can consider integration into ublas.
I think we will have to better integrate things now, but it will be a pleasure to have such a collection of algorithms in ublas.

David

On Fri, Apr 30, 2010 at 17:19, Tom Vercauteren <tom.vercauteren@gmail.com> wrote:

Hi Frédéric,

This is indeed quite interesting. I was just wondering about the
license of your code.

As far as I understand it, the original JAMA is "public domain" hence
even more permissaive than boost license:
 http://math.nist.gov/javanumerics/jama/#Authors
 http://cio.nist.gov/esd/emaildir/lists/jama/msg01295.html
 http://en.wikipedia.org/wiki/Public_domain

Is it also the case for ublasJama? I was not able to see any license
information on your webpage nor in the source code:
 http://devernay.free.fr/hacks/ublasJama-1.0.2.2.tar.gz

It would be nice to add, for example, a LICENSE.txt file with the
relevant information to your source package. The best for me would of
course be to find an OSI approved license
 http://www.opensource.org/licenses/alphabetical
such as the MIT, Boost or BSD one.

Cheers,
Tom

On Fri, Apr 30, 2010 at 16:58, Nasos Iliopoulos <nasos_i@hotmail.com> wrote:
> Very nice!
>
> I find those algorithms could make it into uBlas like "extensions", yourself
> and maintainers permitting of course. It could save a lot of people the time
> to reinvent them or the need to bind to external libraries. What do all
> think?
>
> I use my custom algorithms in some cases, and I was looking into
> reimplementing JAMA, but never had the time. Nice work Fredric.
>
> Best
> Nasos
>
>
>> From: frederic.devernay@inrialpes.fr
>> Date: Fri, 30 Apr 2010 15:48:22 +0200
>> To: ublas@lists.boost.org
>> Subject: [ublas] announcement: ublasJama (ublas port of Jama, including
>> SVD and eigenvalue decomposition)
>>
>> Hi,
>>
>> I translated Jama to ublas, mainly because I needed SVD. It's not optimal
>> nor generic, but at least it's here. Note that the bug in the Jama SVD was
>> fixed too.
>>
>> cat flames > /dev/null
>>
>> Fred
>>
>> Download it from http://devernay.free.fr/hacks/ublasJama.html
>>
>> * What is ublasJama?
>>
>> ublasJama is translation of the public domain Jama (Java Matrix Package)
>> to C++ using boost.ublas for the linear algebra. Jama itself is a Java
>> implementation of algorithms for dense matrices found in LINPACK and
>> EISPACK.
>>
>> Author of the ublas translation: Frederic Devernay .
>>
>> Documentation: see the Jama documentation.
>>
>> Original Authors: see the Jama list of authors.
>>
>> No optimization of the original code was done, but the functionality is
>> here:
>>
>> • Cholesky Decomposition of symmetric, positive definite matrices
>> • LU Decomposition (Gaussian elimination) of rectangular matrices
>> • QR Decomposition of rectangular matrices
>> • Eigenvalue Decomposition of both symmetric and nonsymmetric square
>> matrices
>> • Singular Value Decomposition of rectangular matrices
>> There are two test programs:
>>
>> • TestMatrix, in subdirectory test - the original Jama tests, where only
>> the relevant tests were kept.
>> • MagicSquareExample, in subdirectory examples
>>
>> _______________________________________________
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>> ublas@lists.boost.org
>> http://lists.boost.org/mailman/listinfo.cgi/ublas
>> Sent to: nasos_i@hotmail.com
>
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> Sent to: tom.vercauteren@gmail.com

>
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