DORGRQ(l) LAPACK routine (version 1.1) DORGRQ(l)
NAME
DORGRQ - generate an M-by-N real matrix Q with orthonormal rows,
SYNOPSIS
SUBROUTINE DORGRQ( M, N, K, A, LDA, TAU, WORK, LWORK, INFO )
INTEGER INFO, K, LDA, LWORK, M, N
DOUBLE PRECISION A( LDA, * ), TAU( * ), WORK( LWORK )
PURPOSE
DORGRQ generates an M-by-N real matrix Q with orthonormal rows, which is
defined as the last M rows of a product of K elementary reflectors of order
N
Q = H(1) H(2) . . . H(k)
as returned by DGERQF.
ARGUMENTS
M (input) INTEGER
The number of rows of the matrix Q. M >= 0.
N (input) INTEGER
The number of columns of the matrix Q. N >= M.
K (input) INTEGER
The number of elementary reflectors whose product defines the
matrix Q. M >= K >= 0.
A (input/output) DOUBLE PRECISION array, dimension (LDA,N)
On entry, the (m-k+i)-th row must contain the vector which defines
the elementary reflector H(i), for i = 1,2,...,k, as returned by
DGERQF in the last k rows of its array argument A. On exit, the
M-by-N matrix Q.
LDA (input) INTEGER
The first dimension of the array A. LDA >= max(1,M).
TAU (input) DOUBLE PRECISION array, dimension (K)
TAU(i) must contain the scalar factor of the elementary reflector
H(i), as returned by DGERQF.
WORK (workspace) DOUBLE PRECISION 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 has an illegal value
Back to the listing of computational routines for orthogonal factorization and singular
value decomposition