SYNOPSIS
 SUBROUTINE SLAQGB(
 M, N, KL, KU, AB, LDAB, R, C, ROWCND, COLCND, AMAX, EQUED )
 CHARACTER EQUED
 INTEGER KL, KU, LDAB, M, N
 REAL AMAX, COLCND, ROWCND
 REAL AB( LDAB, * ), C( * ), R( * )
PURPOSE
SLAQGB equilibrates a general M by N band matrix A with KL subdiagonals and KU superdiagonals 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.
 KL (input) INTEGER
 The number of subdiagonals within the band of A. KL >= 0.
 KU (input) INTEGER
 The number of superdiagonals within the band of A. KU >= 0.
 AB (input/output) REAL array, dimension (LDAB,N)
 On entry, the matrix A in band storage, in rows 1 to KL+KU+1. The jth column of A is stored in the jth column of the array AB as follows: AB(ku+1+ij,j) = A(i,j) for max(1,jku)<=i<=min(m,j+kl) On exit, the equilibrated matrix, in the same storage format as A. See EQUED for the form of the equilibrated matrix.
 LDAB (input) INTEGER
 The leading dimension of the array AB. LDA >= KL+KU+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 = 'B': Both row and column equilibration, i.e., A has been replaced by diag(R) * A * diag(C).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.