SLAQGE (3lapack)

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
          postmultiplied 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          equilibration, i.e., A has been replaced by diag(R) * A * diag(C).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.