dlaqgb(3)

NAME

DLAQGB - equilibrate 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

SYNOPSIS

SUBROUTINE DLAQGB( M, N, KL, KU, AB, LDAB, R,  C,  ROWCND,
COLCND, AMAX, EQUED )
    CHARACTER      EQUED
    INTEGER        KL, KU, LDAB, M, N
    DOUBLE         PRECISION AMAX, COLCND, ROWCND
    DOUBLE         PRECISION AB( LDAB, * ), C( * ), R( * )

PURPOSE

DLAQGB equilibrates a general M by N band matrix A with KL
subdiagonals and KU superdiagonals using the row and scaling fac
tors 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) DOUBLE PRECISION array, dimension
(LDAB,N)
On entry, the matrix A in band storage, in rows 1
to KL+KU+1. The j-th column of A is stored in the j-th column of
the array AB as follows: AB(ku+1+i-j,j) = A(i,j) for max(1,j
ku)<=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 (output) DOUBLE PRECISION array, dimension (M)
The row scale factors for A.
C (output) DOUBLE PRECISION array, dimension (N)
The column scale factors for A.
ROWCND (output) DOUBLE PRECISION
Ratio of the smallest R(i) to the largest R(i).
COLCND (output) DOUBLE PRECISION
Ratio of the smallest C(i) to the largest C(i).
AMAX (input) DOUBLE PRECISION
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 pre
multiplied 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equilibration, i.e., A has been replaced by diag(R) * A * di
ag(C).

PARAMETERS

THRESH is a threshold value used to decide if row or col
umn scaling should be done based on the ratio of the row or col
umn 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
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