Package SVDPACK

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Package : SVDPACK

 
A collection of numerical (iterative) methods for computing the singular value
decomposition (SVD) of large sparse matrices. Implements Lanczos and subspace
iteration-based methods for determining several of the largest singular
triplets (singular values and corresponding left- and right-singular
vectors). has been ported to a variety of machines ranging from supercomputers to
workstations: CRAY Y-MP, SPARC 10, IBM RS/6000, DEC 5000, and HP 9000.
 
Type         : Subprogram package
 
Portability   : Portable
 
Availability : Public domain
 
Language     : Fortran
 
Reference    : M. Berry, Large Scale Singular Value Computations,
               International Journal of Supercomputer Applications, 6:1
               (1992), pp. 13-49
 
Developer    : Michael W. Berry, University of Tennessee at Knoxville,
               berry@cs.utk.edu
 
Distributor  : netlib. (See svdpack subdirectory).
 
On sites     : (1) NETLIB
 

Implementation data for NETLIB

 
NETLIB  : Public access repository, The University of Tennessee at
          Knoxville and Bell Laboratories
 
Version : 1991
Support : Unsupported
 
You may access components from NETLIB outside GAMS as follows.
 
   Readme        : Anonymous FTP from ftp.netlib.org in svdpack/readme
   Documentation : Anonymous FTP from ftp.netlib.org in svdpack/ijsa.ps