dggqrf man page on IRIX

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DGGQRF(3F)							    DGGQRF(3F)

NAME
     DGGQRF - compute a generalized QR factorization of an N-by-M matrix A and
     an N-by-P matrix B

SYNOPSIS
     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 N-by-M matrix A and
     an N-by-P matrix B:

		 A = Q*R,	 B = Q*T*Z,

     where Q is an N-by-N orthogonal matrix, Z is a P-by-P 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,
		     (	0  ) N-M			 N   M-N
			M

     where R11 is upper triangular, and

     if N <= P,	 T = ( 0  T12 ) N,   or if N > P,  T = ( T11 ) N-P,
		      P-N  N			       ( T21 ) P
							  P

     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:

		  inv(B)*A = Z'*(inv(T)*R)

     where inv(B) denotes the inverse of the matrix B, and Z' 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.

									Page 1

DGGQRF(3F)							    DGGQRF(3F)

     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 N-by-M matrix A.  On exit, the elements on and
	     above the diagonal of the array contain the min(N,M)-by-M 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 N-by-P matrix B.  On exit, if N <= P, the upper
	     triangle of the subarray B(1:N,P-N+1:P) contains the N-by-N upper
	     triangular matrix T; if N > P, the elements on and above the (N-
	     P)-th subdiagonal contain the N-by-P 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 (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 N-
	     by-M matrix, NB2 is the optimal blocksize for the RQ
	     factorization of an N-by-P matrix, and NB3 is the optimal
	     blocksize for a call of DORMQR.

     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(2) . . . H(k), where k = min(n,m).

									Page 2

DGGQRF(3F)							    DGGQRF(3F)

     Each H(i) has the form

	H(i) = I - taua * v * v'

     where taua 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+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 = H(1) H(2) . . . H(k), where k = min(n,p).

     Each H(i) has the form

	H(i) = I - taub * v * v'

     where taub is a real scalar, and v is a real vector with
     v(p-k+i+1:p) = 0 and v(p-k+i) = 1; v(1:p-k+i-1) is stored on exit in
     B(n-k+i,1:p-k+i-1), and taub in TAUB(i).
     To form Z explicitly, use LAPACK subroutine DORGRQ.
     To use Z to update another matrix, use LAPACK subroutine DORMRQ.

									Page 3

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