sggrqf (l)  Linux Man Pages
sggrqf: computes a generalized RQ factorization of an MbyN matrix A and a PbyN matrix B
NAME
SGGRQF  computes a generalized RQ factorization of an MbyN matrix A and a PbyN matrix BSYNOPSIS
 SUBROUTINE SGGRQF(
 M, P, N, A, LDA, TAUA, B, LDB, TAUB, WORK, LWORK, INFO )
 INTEGER INFO, LDA, LDB, LWORK, M, N, P
 REAL A( LDA, * ), B( LDB, * ), TAUA( * ), TAUB( * ), WORK( * )
PURPOSE
SGGRQF computes a generalized RQ factorization of an MbyN matrix A and a PbyN 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 M <= N, R = ( 0 R12 ) M, or if M > N, R = ( R11 ) MN,
where R12 or R21 is upper triangular, and
if P >= N, T = ( T11 ) N , or if P < N, T = ( T11 T12 ) P,
where T11 is upper triangular.
In particular, if B is square and nonsingular, the GRQ factorization of A and B implicitly gives the RQ factorization of A*inv(B):
where inv(B) denotes the inverse of the matrix B, and Zaq denotes the transpose of the matrix Z.
ARGUMENTS
 M (input) INTEGER
 The number of rows of the matrix A. M >= 0.
 P (input) INTEGER
 The number of rows of the matrix B. P >= 0.
 N (input) INTEGER
 The number of columns of the matrices A and B. N >= 0.
 A (input/output) REAL array, dimension (LDA,N)
 On entry, the MbyN matrix A. On exit, if M <= N, the upper triangle of the subarray A(1:M,NM+1:N) contains the MbyM upper triangular matrix R; if M > N, the elements on and above the (MN)th subdiagonal contain the MbyN upper trapezoidal matrix R; the remaining elements, with the array TAUA, represent the orthogonal 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).
 TAUA (output) REAL array, dimension (min(M,N))
 The scalar factors of the elementary reflectors which represent the orthogonal matrix Q (see Further Details). B (input/output) REAL array, dimension (LDB,N) On entry, the PbyN matrix B. On exit, the elements on and above the diagonal of the array contain the min(P,N)byN upper trapezoidal matrix T (T is upper triangular if P >= N); the elements below the diagonal, 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,P).
 TAUB (output) REAL array, dimension (min(P,N))
 The scalar factors of the elementary reflectors which represent the orthogonal matrix Z (see Further Details). WORK (workspace/output) REAL 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 RQ factorization of an MbyN matrix, NB2 is the optimal blocksize for the QR factorization of a PbyN matrix, and NB3 is the optimal blocksize for a call of SORMRQ. 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 INF0= 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(nk+i+1:n) = 0 and v(nk+i) = 1; v(1:nk+i1) is stored on exit in A(mk+i,1:nk+i1), and taua in TAUA(i).
To form Q explicitly, use LAPACK subroutine SORGRQ.
To use Q to update another matrix, use LAPACK subroutine SORMRQ. 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(1:i1) = 0 and v(i) = 1; v(i+1:p) is stored on exit in B(i+1:p,i), and taub in TAUB(i).
To form Z explicitly, use LAPACK subroutine SORGQR.
To use Z to update another matrix, use LAPACK subroutine SORMQR.