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LAPACK(3F)							    LAPACK(3F)



WHAT IS	LAPACK?
LAPACK is a transportable library of Fortran 77	subroutines for	solving	the
most common problems in	numerical linear algebra: systems of linear equations,
linear least squares problems, eigenvalue problems, and	singular value
problems. It has been designed to be efficient on a wide range of modern
high-performance computers.

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 sharedmemory multiprocessors.	A comprehensive	testing	and timing suite is provided
along with the LAPACK software.

HOW TO GET LAPACK    [Toc]    [Back]

  The entire LAPACK package is available via xnetlib and NAG, or specific
  routines can be obtained via netlib.	To see a description of	the contents
  of LAPACK, send email	to netlib@ornl.gov and in the mail message type: send
  index	from lapack.

  Xnetlib is an	X-version of netlib recently developed at the University of
  Tennessee and	Oak Ridge National Laboratory.	Unlike netlib, which uses
  electronic mail to process requests for software and other text, xnetlib
  uses an X Window graphical user interface and	a socket-based connection
  between the user's machine and the xnetlib server machine to process
  software requests. The complete contents of LAPACK is	available in
  tar/compress format from xnetlib.

  To receive a copy of xnetlib send the	message	"send xnetlib.shar from
  xnetlib" to netlib@ornl.gov.

  When you receive the shar file, remove the mail header, save it to a file,
  type 'sh filename' and follow	the instructions in the	README file.

  Alternatively, the complete LAPACK package can be obtained from NAG on
  magnetic media for a handling	charge.	For further details contact NAG	at one
  of the following addresses:

  NAG Inc			  NAG Ltd	       NAG GmbH
  1400 Opus Place		Wilkinson House	     Schleissheimerstrasse 5
  Suite	200			Jordan Hill Road     W-8046 Garching bei Munchen
  Downers Grove, IL 60515-5702	Oxford OX2 8DR	     Germany
  USA				England
  Tel: +1 708 971 2337		Tel: +44 865 511245  Tel: +49 89 3207395
  Fax: +1 708 971 2706		Fax: +44 865 310139  Fax: +49 89 3207396



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LAPACK(3F)							    LAPACK(3F)



  LAPACK has been thoroughly tested, on	many different types of	computers.
  The LAPACK project supports the package in the sense that reports of errors
  or poor performance will gain	immediate attention from the developers. Such
  reports, descriptions	of interesting applications, and other comments	should
  be sent by electronic	mail to	lapack@cs.utk.edu.


LAPACK USERS' GUIDE
  The LAPACK Users' Guide is published by SIAM and was made available May,
  1992.	 LAPACK	Users' Guide gives an informal introduction to the design of
  the algorithms and software, summarizes the contents of the package, and
  describes the	conventions used in the	software and documentation, and
  includes complete specifications for calling the routines.  The LAPACK
  Users' Guide can be purchased	from:  SIAM; 3600 University City Science
  Center; Philadelphia,	PA 19104-2688; 215-382-9800, FAX 215-386-7999.	It
  will also be available from booksellers.  The	Guide costs $15.60 for SIAM
  members, and $19.50 for non-members.	Please specify order code OT31 when
  ordering.  To	order by email,	send email to service@siam.org.

  A list of known problems, bugs, and compiler errors for LAPACK, as well as
  errata for the LAPACK	Users' Guide and the LAPACK code itself, is maintained
  on netlib.  For a copy of this report, send email to netlib@ornl.gov with a
  message of the form: send release_notes from lapack.

LAPACK WORKING NOTES    [Toc]    [Back]

  A number of working notes were written during	the development	of LAPACK and
  published as LAPACK Working Notes, initially by Argonne National Laboratory
  and later by the University of Tennessee.  Many of these reports have
  subsequently appeared	as journal articles.  Most of these working notes are
  available in postscript form from netlib.  To	receive	a list of available
  reports, send	email to netlib@ornl.gov with a	message	of the form: send
  index	from lapack/lawns.  Otherwise, requests	for copies of these working
  notes	can be sent to the following address.

  LAPACK Project c/o J.J. Dongarra Computer Science Department University of
  Tennessee Knoxville, Tennessee 37996-1301 USA	Email: lapack@cs.utk.edu

ACKNOWLEDGEMENTS    [Toc]    [Back]

  LAPACK has been funded in part by NSF, DOE, and DARPA, with developmental
  support from NAG Ltd., Cray Research,	and many friends and colleagues	around
  the world.


  Ed Anderson, Zhao-jun	Bai, Chris Bischof, Jim	Demmel,	Jack Dongarra, Jeremy
  Du Croz, Anne	Greenbaum, Sven	Hammarling, Alan McKenney, Susan Ostrouchov,
  and Danny Sorensen

	       (	   l	l    l	  l )
	       (	   a   -a    a	 -a )
	 1/4 * ( p    p		    -p	 -p )



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LAPACK(3F)							    LAPACK(3F)



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	       ( k   -k	  -k	k	    )


NAMING SCHEME    [Toc]    [Back]

  The name of each LAPACK routine is a coded specification of its function
  (within the very tight limits	of standard Fortran 77 6-character names).

  All driver and computational routines	have names of the form XYYZZZ, where
  for some driver routines the 6th character is	blank.

  The first letter, X, indicates the data type as follows:

	S  REAL
	D  DOUBLE PRECISION
	C  COMPLEX
	Z  COMPLEX*16  or DOUBLE COMPLEX

  The next two letters,	YY, indicate the type of matrix	(or of the most
  significant matrix).	Most of	these two-letter codes apply to	both real and
  complex matrices; a few apply	specifically to	one or the other.

  The last three letters ZZZ indicate the computation performed.  For example,
  SGEBRD is a single precision routine that performs a bidiagonal reduction
  (BRD)	of a real general matrix.


									PPPPaaaaggggeeee 3333
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