sgelqf.f(3) LAPACK sgelqf.f(3)
subroutine sgelqf (M, N, A, LDA, TAU, WORK, LWORK, INFO)
subroutine sgelqf (integerM, integerN, real, dimension( lda, * )A, integerLDA, real,
dimension( * )TAU, real, dimension( * )WORK, integerLWORK, integerINFO)
SGELQF computes an LQ factorization of a real M-by-N matrix A:
A = L * Q.
M is INTEGER
The number of rows of the matrix A. M >= 0.
N is INTEGER
The number of columns of the matrix A. N >= 0.
A is REAL array, dimension (LDA,N)
On entry, the M-by-N matrix A.
On exit, the elements on and below the diagonal of the array
contain the m-by-min(m,n) lower trapezoidal matrix L (L is
lower triangular if m <= n); the elements above the diagonal,
with the array TAU, represent the orthogonal matrix Q as a
product of elementary reflectors (see Further Details).
LDA is INTEGER
The leading dimension of the array A. LDA >= max(1,M).
TAU is REAL array, dimension (min(M,N))
The scalar factors of the elementary reflectors (see Further
WORK is REAL array, dimension (MAX(1,LWORK))
On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
LWORK is INTEGER
The dimension of the array WORK. LWORK >= max(1,M).
For optimum performance LWORK >= M*NB, where NB is the
If LWORK = -1, then a workspace query is assumed; the routine
only calculates the optimal size of the WORK array, returns
this value as the first entry of the WORK array, and no error
message related to LWORK is issued by XERBLA.
INFO is INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
The matrix Q is represented as a product of elementary reflectors
Q = H(k) . . . H(2) H(1), where k = min(m,n).
Each H(i) has the form
H(i) = I - tau * v * v**T
where tau is a real scalar, and v is a real vector with
v(1:i-1) = 0 and v(i) = 1; v(i+1:n) is stored on exit in A(i,i+1:n),
and tau in TAU(i).
Definition at line 136 of file sgelqf.f.
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Version 3.4.2 Tue Sep 25 2012 sgelqf.f(3)