cgeqpf man page on IRIX

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CGEQPF(3F)							    CGEQPF(3F)

NAME
     CGEQPF - compute a QR factorization with column pivoting of a complex M-
     by-N matrix A

SYNOPSIS
     SUBROUTINE CGEQPF( M, N, A, LDA, JPVT, TAU, WORK, RWORK, INFO )

	 INTEGER	INFO, LDA, M, N

	 INTEGER	JPVT( * )

	 REAL		RWORK( * )

	 COMPLEX	A( LDA, * ), TAU( * ), WORK( * )

PURPOSE
     CGEQPF computes a QR factorization with column pivoting of a complex M-
     by-N matrix A: A*P = Q*R.

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) COMPLEX array, dimension (LDA,N)
	     On entry, the M-by-N matrix A.  On exit, the upper triangle of
	     the array contains the min(M,N)-by-N upper triangular matrix R;
	     the elements below the diagonal, together with the array TAU,
	     represent the orthogonal matrix Q as a product of min(m,n)
	     elementary reflectors.

     LDA     (input) INTEGER
	     The leading dimension of the array A. LDA >= max(1,M).

     JPVT    (input/output) INTEGER array, dimension (N)
	     On entry, if JPVT(i) .ne. 0, the i-th column of A is permuted to
	     the front of A*P (a leading column); if JPVT(i) = 0, the i-th
	     column of A is a free column.  On exit, if JPVT(i) = k, then the
	     i-th column of A*P was the k-th column of A.

     TAU     (output) COMPLEX array, dimension (min(M,N))
	     The scalar factors of the elementary reflectors.

     WORK    (workspace) COMPLEX array, dimension (N)

     RWORK   (workspace) REAL array, dimension (2*N)

									Page 1

CGEQPF(3F)							    CGEQPF(3F)

     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(n)

     Each H(i) has the form

	H = I - tau * v * v'

     where tau is a complex scalar, and v is a complex vector with v(1:i-1) =
     0 and v(i) = 1; v(i+1:m) is stored on exit in A(i+1:m,i).

     The matrix P is represented in jpvt as follows: If
	jpvt(j) = i
     then the jth column of P is the ith canonical unit vector.

									Page 2

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