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From Luc Maisonobe <>
Subject Re: [math] Sparse Matrix Support
Date Thu, 22 May 2008 19:34:13 GMT
John Iacona wrote:
> So did anything ever happen with the project in the thread referenced by
> Luc? It seems like that was quite a while ago and I have not seen any
> activity in the area of sparse matrices in a while. But if someone is
> already working in this area I would definitely like to collaborate.

I am not aware of any work on this. Your proposal to contribute is very
appealing to me, so if you want to start something, please go ahead. I
will be glad to review and commit the patches.

The best way to do this is to open a JIRA issue at and to attach patches to this

> As for ideas for what needs to be in the linear package, I think that some
> of the most important applications of matrix computation revolve around fast
> solvers that exploit the matrix structure effectively (i.e., solvers based
> on Cholesky, Triangular, LU, etc. decompositions).

Do you think our current architecture is OK for your work ? Can you fit
sparse matrices in it easily ?


> Regards,
> John
> On Thu, May 22, 2008 at 5:30 AM, Edward J. Yoon <> wrote:
>> Just FYI, If you interested in the matrix, you can also take a look at
>> (Hams has accepted by
>> IPMC)
>> Edward
>> On Thu, May 22, 2008 at 4:02 PM,  <> wrote:
>>> Improving the linear algebra package is a clear need and one of the
>> objectives for version 2.0.
>>> The link to the (short) thread may be this one:
>>> I have also have another discussion ongoing outside from potential users
>> of [math] who would like to have fast linear algebra with support for
>> vectors.
>>> I tried to get involved with Mahout developers who where seeking for some
>> math skills at some point, but the thread ended after my last message
>> without answers ( The team
>> seems to want to develop its own implementation and not being really
>> interested in our work. I gave up, but I really think this is a pity, we
>> should be able to work together.
>>> Perhaps is it time to put some ideas on what we need in our linear
>> algebra package to meet most users needs (SVD, sparse matrices, vectors,
>> efficiency, perhaps complex numbers ...)
>>> Luc

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