Fwd: CSparse package

[boisvert@nist.gov]

Sender: Sione <sionep@xtra.co.nz>
Subject: CSparse  package



Hello Tim Davis,

I have downloaded your  C/Matlab package for sparse matrix computation 
found here to play with:

http://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?
objectId=11740&objectType=FILE

I will order a copy of your upcoming book ("/Direct Methods for Sparse 
Linear Systems/") when it becomes available, but just a quick question 
regarding your package. 

What are the functions or equivalent functions  from your package that 
correspond to  Matlab   'eigs'   and   'svds'  ?  I am no expert in  C   
but  I intend to port your  sparse package to Java and extend  JAMA 
capability with sparse classes as SparseEigenDecomposition ,  
SparseSingularValueDecomposition, etc. I find that analysis as  market 
basket in data-mining  cannot be done via  dense-matrix  JAMA  as huge 
"customer-by-item"  transaction matrix using non-negative matrix 
factorisation (NNMF) will have high computational cost.   
"Customer-by-Item"  transaction matrix is sparse therefore I think that 
it should be done via sparse computation.

Any hint would be appreciated.

Thanks,
Sione.

//




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