SGERQF(l) LAPACK routine (version 1.1) SGERQF(l)
NAME
SGERQF - compute an RQ factorization of a real M-by-N matrix A
SYNOPSIS
SUBROUTINE SGERQF( M, N, A, LDA, TAU, WORK, LWORK, INFO )
INTEGER INFO, LDA, LWORK, M, N
REAL A( LDA, * ), TAU( * ), WORK( LWORK )
PURPOSE
SGERQF computes an RQ factorization of a real M-by-N matrix A: A = R * Q.
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, if m <= n, the upper tri-
angle of the subarray A(1:m,n-m+1:n) contains the M-by-M upper tri-
angular matrix R; if m >= n, the elements on and above the (m-n)-th
subdiagonal contain the M-by-N upper trapezoidal matrix R; the
remaining elements, with the array TAU, represent the orthogonal
matrix Q as a product of min(m,n) elementary reflectors (see
Further Details).
LDA (input) INTEGER
The leading dimension of the array A. LDA >= max(1,M).
TAU (output) REAL array, dimension (min(M,N))
The scalar factors of the elementary reflectors (see Further
Details).
WORK (workspace) REAL array, dimension (LWORK)
On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
LWORK (input) INTEGER
The dimension of the array WORK. LWORK >= max(1,M). For optimum
performance LWORK >= M*NB, where NB is the optimal blocksize.
INFO (output) INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value
FURTHER DETAILS
The matrix Q is represented as a product of elementary reflectors
Q = H(1) H(2) . . . H(k), where k = min(m,n).
Each H(i) has the form
H(i) = I - tau * v * v'
where tau is a real scalar, and v is a real vector with
v(n-k+i+1:n) = 0 and v(n-k+i) = 1; v(1:n-k+i-1) is stored on exit in A(m-
k+i,1:n-k+i-1), and tau in TAU(i).
Back to the listing of computational routines for orthogonal factorization and singular
value decomposition