redhat man page for slaqge

SLAQGE(l)								 )								 SLAQGE(l)

NAME
       SLAQGE - equilibrate a general M by N matrix A using the row and scaling factors in the vectors R and C

SYNOPSIS
       SUBROUTINE SLAQGE( M, N, A, LDA, R, C, ROWCND, COLCND, AMAX, EQUED )

	   CHARACTER	  EQUED

	   INTEGER	  LDA, M, N

	   REAL 	  AMAX, COLCND, ROWCND

	   REAL 	  A( LDA, * ), C( * ), R( * )

PURPOSE
       SLAQGE equilibrates a general M by N matrix A using the row and scaling factors in the vectors R and C.

ARGUMENTS
       M       (input) INTEGER
	       The number of rows of the matrix A.  M >= 0.

       N       (input) INTEGER
	       The number of columns of the matrix A.  N >= 0.

       A       (input/output) REAL array, dimension (LDA,N)
	       On entry, the M by N matrix A.  On exit, the equilibrated matrix.  See EQUED for the form of the equilibrated matrix.

       LDA     (input) INTEGER
	       The leading dimension of the array A.  LDA >= max(M,1).

       R       (input) REAL array, dimension (M)
	       The row scale factors for A.

       C       (input) REAL array, dimension (N)
	       The column scale factors for A.

       ROWCND  (input) REAL
	       Ratio of the smallest R(i) to the largest R(i).

       COLCND  (input) REAL
	       Ratio of the smallest C(i) to the largest C(i).

       AMAX    (input) REAL
	       Absolute value of largest matrix entry.

       EQUED   (output) CHARACTER*1
	       Specifies the form of equilibration that was done.  = 'N':  No equilibration
	       =  'R':	 Row  equilibration, i.e., A has been premultiplied by diag(R).  = 'C':  Column equilibration, i.e., A has been postmulti-
	       plied by diag(C).  = 'B':  Both row and column equilibration, i.e., A has been replaced by diag(R) * A * diag(C).

PARAMETERS
       THRESH is a threshold value used to decide if row or column scaling should be done based on the ratio of the row or column scaling factors.
       If ROWCND < THRESH, row scaling is done, and if COLCND < THRESH, column scaling is done.

       LARGE and SMALL are threshold values used to decide if row scaling should be done based on the absolute size of the largest matrix element.
       If AMAX > LARGE or AMAX < SMALL, row scaling is done.

LAPACK version 3.0						   15 June 2000 							 SLAQGE(l)