dggqrf (l)  Linux Manuals
dggqrf: computes a generalized QR factorization of an NbyM matrix A and an NbyP matrix B
NAME
DGGQRF  computes a generalized QR factorization of an NbyM matrix A and an NbyP matrix BSYNOPSIS
 SUBROUTINE DGGQRF(
 N, M, P, A, LDA, TAUA, B, LDB, TAUB, WORK, LWORK, INFO )
 INTEGER INFO, LDA, LDB, LWORK, M, N, P
 DOUBLE PRECISION A( LDA, * ), B( LDB, * ), TAUA( * ), TAUB( * ), WORK( * )
PURPOSE
DGGQRF computes a generalized QR factorization of an NbyM matrix A and an NbyP matrix B:where Q is an NbyN orthogonal matrix, Z is a PbyP orthogonal matrix, and R and T assume one of the forms:
if N >= M, R = ( R11 ) M , or if N < M, R = ( R11 R12 ) N,
where R11 is upper triangular, and
if N <= P, T = ( 0 T12 ) N, or if N > P, T = ( T11 ) NP,
where T12 or T21 is upper triangular.
In particular, if B is square and nonsingular, the GQR factorization of A and B implicitly gives the QR factorization of inv(B)*A:
where inv(B) denotes the inverse of the matrix B, and Zaq denotes the transpose of the matrix Z.
ARGUMENTS
 N (input) INTEGER
 The number of rows of the matrices A and B. N >= 0.
 M (input) INTEGER
 The number of columns of the matrix A. M >= 0.
 P (input) INTEGER
 The number of columns of the matrix B. P >= 0.
 A (input/output) DOUBLE PRECISION array, dimension (LDA,M)
 On entry, the NbyM matrix A. On exit, the elements on and above the diagonal of the array contain the min(N,M)byM upper trapezoidal matrix R (R is upper triangular if N >= M); the elements below the diagonal, with the array TAUA, represent the orthogonal matrix Q as a product of min(N,M) elementary reflectors (see Further Details).
 LDA (input) INTEGER
 The leading dimension of the array A. LDA >= max(1,N).
 TAUA (output) DOUBLE PRECISION array, dimension (min(N,M))
 The scalar factors of the elementary reflectors which represent the orthogonal matrix Q (see Further Details). B (input/output) DOUBLE PRECISION array, dimension (LDB,P) On entry, the NbyP matrix B. On exit, if N <= P, the upper triangle of the subarray B(1:N,PN+1:P) contains the NbyN upper triangular matrix T; if N > P, the elements on and above the (NP)th subdiagonal contain the NbyP upper trapezoidal matrix T; the remaining elements, with the array TAUB, represent the orthogonal matrix Z as a product of elementary reflectors (see Further Details).
 LDB (input) INTEGER
 The leading dimension of the array B. LDB >= max(1,N).
 TAUB (output) DOUBLE PRECISION array, dimension (min(N,P))
 The scalar factors of the elementary reflectors which represent the orthogonal matrix Z (see Further Details). WORK (workspace/output) DOUBLE PRECISION array, dimension (MAX(1,LWORK)) On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
 LWORK (input) INTEGER
 The dimension of the array WORK. LWORK >= max(1,N,M,P). For optimum performance LWORK >= max(N,M,P)*max(NB1,NB2,NB3), where NB1 is the optimal blocksize for the QR factorization of an NbyM matrix, NB2 is the optimal blocksize for the RQ factorization of an NbyP matrix, and NB3 is the optimal blocksize for a call of DORMQR. 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 (output) INTEGER

= 0: successful exit
< 0: if INFO = i, the ith argument had an illegal value.
FURTHER DETAILS
The matrix Q is represented as a product of elementary reflectorsQ
Each H(i) has the form
H(i)
where taua is a real scalar, and v is a real vector with
v(1:i1) = 0 and v(i) = 1; v(i+1:n) is stored on exit in A(i+1:n,i), and taua in TAUA(i).
To form Q explicitly, use LAPACK subroutine DORGQR.
To use Q to update another matrix, use LAPACK subroutine DORMQR. The matrix Z is represented as a product of elementary reflectors
Z
Each H(i) has the form
H(i)
where taub is a real scalar, and v is a real vector with
v(pk+i+1:p) = 0 and v(pk+i) = 1; v(1:pk+i1) is stored on exit in B(nk+i,1:pk+i1), and taub in TAUB(i).
To form Z explicitly, use LAPACK subroutine DORGRQ.
To use Z to update another matrix, use LAPACK subroutine DORMRQ.