On Fri, Apr 30, 2010 at 16:58, Nasos Iliopoulos <email@example.com
> 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
> I use my custom algorithms in some cases, and I was looking into
> reimplementing JAMA, but never had the time. Nice work Fredric.
>> From: firstname.lastname@example.org
>> Date: Fri, 30 Apr 2010 15:48:22 +0200
>> To: email@example.com
>> Subject: [ublas] announcement: ublasJama (ublas port of Jama, including
>> SVD and eigenvalue decomposition)
>> 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
>> 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
>> 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
>> • 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
>> • 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
>> ublas mailing list
>> Sent to: firstname.lastname@example.org
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