dlaqge (l) - Linux Manuals

dlaqge: equilibrates a general M by N matrix A using the row and column scaling factors in the vectors R and C

Command to display dlaqge manual in Linux: $ man l dlaqge

NAME

DLAQGE - equilibrates a general M by N matrix A using the row and column scaling factors in the vectors R and C

SYNOPSIS

SUBROUTINE DLAQGE(: M, N, A, LDA, R, C, ROWCND, COLCND, AMAX, EQUED )
: CHARACTER EQUED
: INTEGER LDA, M, N
: DOUBLE PRECISION AMAX, COLCND, ROWCND
: DOUBLE PRECISION A( LDA, * ), C( * ), R( * )

PURPOSE

DLAQGE equilibrates a general M by N matrix A using the row and column 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) DOUBLE PRECISION 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) DOUBLE PRECISION array, dimension (M): The row scale factors for A.
C (input) DOUBLE PRECISION array, dimension (N): The column scale factors for A.
ROWCND (input) DOUBLE PRECISION: Ratio of the smallest R(i) to the largest R(i).
COLCND (input) 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. = aqNaq: No equilibration
= aqRaq: Row equilibration, i.e., A has been premultiplied by diag(R). = aqCaq: Column equilibration, i.e., A has been postmultiplied by diag(C). = aqBaq: Both row and column equilibration, i.e., A has been replaced by diag(R) * A * diag(C).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.