R-alpha: lapack

gordon@stat.ubc.ca
Wed, 15 May 1996 15:19:42 -0700


From: gordon@stat.ubc.ca
Date: Wed, 15 May 1996 15:19:42 -0700
Message-Id: <9605152219.AA11503@>
To: R-testers@stat.math.ethz.ch
Subject: R-alpha: lapack

I am curious why the linear algebra routines in R are based on eispack
and linpack rather than on lapack.  The following is an extract from
the netlib library:

LAPACK is intended to be the successor to LINPACK and EISPACK.
     It extends the functionality of these packages by including
     equilibration, iterative refinement, error bounds, and driver routines
     for linear systems, routines for computing and re-ordering the Schur
     factorization, and condition estimation routines for eigenvalue
     problems.  LAPACK improves on the accuracy of the standard algorithms
     in EISPACK by including high accuracy algorithms for finding singular
     values and eigenvalues of bidiagonal and tridiagonal matrices
     respectively that arise in SVD and symmetric eigenvalue problems.
     The algorithms and software have been restructured to achieve high
     efficiency on vector processors, high-performance ``superscalar''
     workstations, and shared-memory multiprocessors. 
     A comprehensive testing and timing suite is provided along with the
     LAPACK software.

Gordon
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