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dgeqp3(3P)		    Sun Performance Library		    dgeqp3(3P)

NAME
       dgeqp3 - compute a QR factorization with column pivoting of a matrix A

SYNOPSIS
       SUBROUTINE DGEQP3(M, N, A, LDA, JPVT, TAU, WORK, LWORK, INFO)

       INTEGER M, N, LDA, LWORK, INFO
       INTEGER JPVT(*)
       DOUBLE PRECISION A(LDA,*), TAU(*), WORK(*)

       SUBROUTINE DGEQP3_64(M, N, A, LDA, JPVT, TAU, WORK, LWORK, INFO)

       INTEGER*8 M, N, LDA, LWORK, INFO
       INTEGER*8 JPVT(*)
       DOUBLE PRECISION A(LDA,*), TAU(*), WORK(*)

   F95 INTERFACE
       SUBROUTINE GEQP3([M], [N], A, [LDA], JPVT, TAU, [WORK], [LWORK],
	      [INFO])

       INTEGER :: M, N, LDA, LWORK, INFO
       INTEGER, DIMENSION(:) :: JPVT
       REAL(8), DIMENSION(:) :: TAU, WORK
       REAL(8), DIMENSION(:,:) :: A

       SUBROUTINE GEQP3_64([M], [N], A, [LDA], JPVT, TAU, [WORK], [LWORK],
	      [INFO])

       INTEGER(8) :: M, N, LDA, LWORK, INFO
       INTEGER(8), DIMENSION(:) :: JPVT
       REAL(8), DIMENSION(:) :: TAU, WORK
       REAL(8), DIMENSION(:,:) :: A

   C INTERFACE
       #include <sunperf.h>

       void  dgeqp3(int	 m, int n, double *a, int lda, int *jpvt, double *tau,
		 int *info);

       void dgeqp3_64(long m, long n, double *a, long lda, long *jpvt,	double
		 *tau, long *info);

PURPOSE
       dgeqp3  computes a QR factorization with column pivoting of a matrix A:
       A*P = Q*R  using Level 3 BLAS.

ARGUMENTS
       M (input) The number of rows of the matrix A. M >= 0.

       N (input) The number of columns of the matrix A.	 N >= 0.

       A (input/output)
		 On entry, the M-by-N matrix A.	 On exit, the  upper  triangle
		 of  the  array	 contains  the min(M,N)-by-N upper trapezoidal
		 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)
		 The leading dimension of the array A. LDA >= max(1,M).

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

       TAU (output)
		 The scalar factors of the elementary reflectors.

       WORK (workspace)
		 On exit, if INFO=0, WORK(1) returns the optimal LWORK.

       LWORK (input)
		 The dimension of the array WORK. LWORK >= 3*N+1.  For optimal
		 performance LWORK >= 2*N+( N+1 )*NB, where NB is the  optimal
		 blocksize.

		 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)
		 = 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/complex scalar, and v is a real/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),
       and tau in TAU(i).

       Based on contributions by
	 G. Quintana-Orti, Depto. de Informatica, Universidad Jaime I, Spain
	 X. Sun, Computer Science Dept., Duke University, USA

				  6 Mar 2009			    dgeqp3(3P)
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