SparseM: A Sparse Matrix Package for R

Journal of Statistical Software

Volumn 8, Issue , 2003, Pages 1-9

  Koenker, Roger ^a   Ng, Pin ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

EID: 1042297949     PISSN: 15487660     EISSN: None     Source Type: Journal    
DOI: 10.18637/jss.v008.i06     Document Type: Article

References (12)

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2. Davis, T. A. (2002). UMFPACK Version 4.0 User Guide, http://www.cise.ufl. edu/research/sparse/umfpack
3. Duff, I.S., A. M. Erisman and J. K. Reid. (1986). Direct Methods for Sparse Matrices, Clarendon Press, Oxford.
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5. Gupta, A. (2000). WSMP: Watson Sparse Matrix Package (Part-II: direct solution of general sparse systems). Technical Report RC 21888 (98472), IBM T.J. Watson Research Center, Yorktown Heights, N.Y., http://www.cs.umn.edu/ agupta/doc/wssmp-paper.ps
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9. Leisch, F. (2002). Sweave: Dynamic Generation of Statistical Reports Using Literate Data Analysis, http://www.wu-wien.ac.at/am.
10. Koenker, R. and Mizera, I (2002). Penalized Triograms: Total Variation Regularization for Bivariate Smoothing, preprint.
11. Ng, E. G. and B. W. Peyton. (1993) Block sparse Cholesky algorithms on advanced uniprocessor computers", SIAM J. Sci. Comput., 14, 1034-1056.
12. Saad, Y. (1994) Sparskit: A basic tool kit for sparse matrix computations; Version 2, http://www.cs.umn.edu/Research/arpa/SPARSKIT/sparskit. html