sggrqf man page on Scientific

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SGGRQF(1)		 LAPACK routine (version 3.2)		     SGGRQF(1)

NAME
       SGGRQF  - computes a generalized RQ factorization of an M-by-N matrix A
       and a P-by-N matrix B

SYNOPSIS
       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  M-by-N  matrix  A
       and a P-by-N matrix B:
		   A = R*Q,	   B = Z*T*Q,
       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 M <= N,  R = ( 0  R12 ) M,   or if M > N,  R = ( R11 ) M-N,
			N-M  M				 ( R21 ) N
							    N
       where R12 or R21 is upper triangular, and
       if P >= N,  T = ( T11 ) N  ,   or if P < N,  T = ( T11  T12 ) P,
		       (  0  ) P-N			   P   N-P
			  N
       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):
		    A*inv(B) = (R*inv(T))*Z'
       where  inv(B)  denotes  the inverse of the matrix B, and Z' 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 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	 TAUA,	repre‐
	       sent the orthogonal matrix Q as a product of elementary reflec‐
	       tors (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  P-
	       by-N matrix B.  On exit, the elements on and above the diagonal
	       of the array contain the min(P,N)-by-N 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  M-
	       by-N matrix, NB2 is the optimal blocksize for the QR factoriza‐
	       tion of a P-by-N 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 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(m,n).
       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(n-k+i+1:n)  =	0  and v(n-k+i) = 1; v(1:n-k+i-1) is stored on exit in
       A(m-k+i,1:n-k+i-1), 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 = H(1) H(2) . . . H(k), where k = min(p,n).
       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(1:i-1)	 =  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.

 LAPACK routine (version 3.2)	 November 2008			     SGGRQF(1)
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