numpy-discussion

[Numpy-discussion] Matrices for testing

[jeremito <jer...@gm...>]

If I understand correctly, the LAPACK package has some standard
matrices included with it for testing.  Does the linalg portion of
numpy also have access to these matrices/arrays?  
Thanks,
Jeremy

Re: [Numpy-discussion] Matrices for testing

[Robert K. <rob...@gm...>]

jeremito wrote:
> If I understand correctly, the LAPACK package has some standard
> matrices included with it for testing.  Does the linalg portion of
> numpy also have access to these matrices/arrays?  

No.

-- 
Robert Kern

"I have come to believe that the whole world is an enigma, a harmless enigma
  that is made terrible by our own mad attempt to interpret it as though it had
  an underlying truth."
   -- Umberto Eco

Re: [Numpy-discussion] Matrices for testing

[Bill B. <wb...@gm...>]

On 10/26/06, jeremito <jer...@gm...> wrote:
>
>
> Hmmm.  I guess I'll have to find another way to get some
> "standard/well-known" matrices to work with.  Thanks for your help.


Well if all you want is some matrices, there's nothing stopping you from
grabbing the matrices in the LAPACK distribution and using them yourself.
Robert's just saying they won't be included in Numpy.

There's also the matrix market, whcih has a large number of (sparse-only?)
example matrices.
http://math.nist.gov/MatrixMarket/index.html

--bb

Re: [Numpy-discussion] Matrices for testing

[Robert K. <rob...@gm...>]

Robert Kern wrote:
> jeremito wrote:
>> If I understand correctly, the LAPACK package has some standard
>> matrices included with it for testing.  Does the linalg portion of
>> numpy also have access to these matrices/arrays?  
> 
> No.

To clarify, these are routines provided with the LAPACK source distribution in 
the TESTING/MATGEN/ directory. However, they are not part of the LAPACK library 
itself, and thus we *cannot* provide wrappers for them in numpy.

-- 
Robert Kern

"I have come to believe that the whole world is an enigma, a harmless enigma
  that is made terrible by our own mad attempt to interpret it as though it had
  an underlying truth."
   -- Umberto Eco

Re: [Numpy-discussion] Matrices for testing

[jeremito <jer...@gm...>]

Robert Kern wrote:
> Robert Kern wrote:
> > jeremito wrote:
> >> If I understand correctly, the LAPACK package has some standard
> >> matrices included with it for testing.  Does the linalg portion of
> >> numpy also have access to these matrices/arrays?
> >
> > No.
>
> To clarify, these are routines provided with the LAPACK source distribution in
> the TESTING/MATGEN/ directory. However, they are not part of the LAPACK library
> itself, and thus we *cannot* provide wrappers for them in numpy.
>
> --
> Robert Kern
>
> "I have come to believe that the whole world is an enigma, a harmless enigma
>   that is made terrible by our own mad attempt to interpret it as though it had
>   an underlying truth."
>    -- Umberto Eco
>
Hmmm.  I guess I'll have to find another way to get some
"standard/well-known" matrices to work with.  Thanks for your help.
Jeremy

Re: [Numpy-discussion] Matrices for testing

[Nils W. <nw...@ia...>]

Bill Baxter wrote:
>
> On 10/26/06, *jeremito* <jer...@gm...
> <mailto:jer...@gm...>> wrote:
>
>
>     Hmmm.  I guess I'll have to find another way to get some
>     "standard/well-known" matrices to work with.  Thanks for your help.
>
>
> Well if all you want is some matrices, there's nothing stopping you
> from grabbing the matrices in the LAPACK distribution and using them
> yourself.  Robert's just saying they won't be included in Numpy.
>
> There's also the matrix market, whcih has a large number of
> (sparse-only?) example matrices.
> http://math.nist.gov/MatrixMarket/index.html
>  
> --bb
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>   

You might be also interested in the Matrix Computation Toolbox which is
a collection of MATLAB M-files containing functions for constructing
test matrices ...
http://www.ma.man.ac.uk/~higham/mctoolbox/

and
http://www.mathworks.com/access/helpdesk/help/techdoc/ref/*gallery*.html

BTW, you can easily import matrices given in the MatrixMarket format in
scipy. See* io.mmread *

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

Nils

Re: [Numpy-discussion] Matrices for testing

[jeremito <jer...@gm...>]

> Well if all you want is some matrices, there's nothing stopping you
> from grabbing the matrices in the LAPACK distribution and using them
> yourself.  Robert's just saying they won't be included in Numpy.

> There's also the matrix market, whcih has a large number of
> (sparse-only?) example matrices.
> http://math.nist.gov/MatrixMarket/index.html

> --bb
_______________________________________________
> > Numpy-discussion mailing list
> > Num...@li...
> > https://lists.sourceforge.net/lists/listinfo/numpy-discussion
> >
>
> You might be also interested in the Matrix Computation Toolbox which is
> a collection of MATLAB M-files containing functions for constructing
> test matrices ...
> http://www.ma.man.ac.uk/~higham/mctoolbox/
>
> and
> http://www.mathworks.com/access/helpdesk/help/techdoc/ref/*gallery*.html
>
> BTW, you can easily import matrices given in the MatrixMarket format in
> scipy. See* io.mmread *
>
> 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
>
> Nils

Thanks Bill and Nils.  After my response, I had discovered the Matrix
Market and realized it would be easy for me create some of the matrices
myself.  However having a way to read in the files already is really
helpful.  Thanks for pointing that out.  
Jeremy