On Tue, 22 Nov 2005 15:05:10 -0500
  Jonathan Guyer <guyer@[...].gov>  wrote:
>  
>  On Oct 7, 2005, at 4:00 PM, I wrote:
>  
> >  regardless, pysparse is BSD
> > licensed, so it's perfectly legal to use his code to 
> >improve
> > scipy.sparse (assuming that rigorous benchmarking 
> >determines that there
> > are, in fact, improvements to be made). We'll do some 
> >tests and, if a
> > merge is warranted, we'll run it by Roman out of 
> >courtesy.
>  
>  I've finally done some benchmarking of scipy.sparse and 
> PySparse and 
>  posted my results and comments on plone[*]:
>  
>      <http://www.scipy.org/wikis/featurerequests/SparseSolvers>
>  
>  Bottom line is that, with a couple of exceptions, 
> PySparse is both 
>  faster and less memory intensive than SciPy. I don't 
> know whether 
>  anything can be lifted from PySparse to improve SciPy's 
> implementation.
>  
>  [*] Not that this comes as a surprise to anybody here, 
> but the SciPy 
>  plone wiki is scary slow. I also couldn't get it to 
> accept reST, even 
>  though I've seen other people using it there.
>  -- 
>  Jonathan E. Guyer, PhD
>  Metallurgy Division
>  National Institute of Standards and Technology
>  <http://www.metallurgy.nist.gov/>
>  
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Jonathan,

I had a short look on your comments.
Actually, you can import matrices given in matrixmarket 
format.

Help on function mmread in module scipy.io.mmio:

mmread(source)
     Reads the contents of a Matrix Market file 'filename' 
into a matrix.

     Inputs:
       source    - Matrix Market filename (extensions 
.mtx, .mtz.gz)
                   or open file object.

     Outputs:

       a         - sparse or full matrix

Are you aware of a sparse eigensolver for scipy ?

Nils

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