dgerq2 man page on YellowDog

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DGERQ2(l)			       )			     DGERQ2(l)

NAME
       DGERQ2 - compute an RQ factorization of a real m by n matrix A

SYNOPSIS
       SUBROUTINE DGERQ2( M, N, A, LDA, TAU, WORK, INFO )

	   INTEGER	  INFO, LDA, M, N

	   DOUBLE	  PRECISION A( LDA, * ), TAU( * ), WORK( * )

PURPOSE
       DGERQ2  computes an RQ factorization of a real m by n matrix A: 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) DOUBLE PRECISION 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  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).

       TAU     (output) DOUBLE PRECISION array, dimension (min(M,N))
	       The scalar factors of the elementary  reflectors	 (see  Further
	       Details).

       WORK    (workspace) DOUBLE PRECISION 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(2) . . . H(k), where k = min(m,n).

       Each H(i) has the form

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

       where tau 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 tau in TAU(i).

LAPACK version 3.0		 15 June 2000			     DGERQ2(l)
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