CGERQ2
Purpose
CGERQ2 computes an RQ factorization of a complex m by n matrix A:
A = R * Q.
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) COMPLEX array, dimension (LDA,N)
On entry, the m by n matrix A.
On exit, if m <= n, the upper triangle of the subarray A(1:m,n-m+1:n) contains the m by m upper triangular 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 unitary matrix Q as a product of elementary reflectors (see Further Details). |
LDA |
(input) INTEGER
The leading dimension of the array A. LDA >= max(1,M).
|
TAU |
(output) COMPLEX array, dimension (min(M,N))
The scalar factors of the elementary reflectors (see Further
Details). |
WORK |
(workspace) COMPLEX array, dimension (M)
|
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 H(2)**H . . . H(k)**H, where k = min(m,n).
Each H(i) has the form
H(i) = I - tau * v * v**H
where tau is a complex scalar, and v is a complex vector with
v(n-k+i+1:n) = 0 and v(n-k+i) = 1; conjg(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).
Q = H(1)**H H(2)**H . . . H(k)**H, where k = min(m,n).
Each H(i) has the form
H(i) = I - tau * v * v**H
where tau is a complex scalar, and v is a complex vector with
v(n-k+i+1:n) = 0 and v(n-k+i) = 1; conjg(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).