From: jeremito <jer...@gm...> - 2006-10-27 13:44:00
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> 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 |