dlaqp2.f(3)

NAME
dlaqp2.f -

SYNOPSIS

  Functions/Subroutines

subroutine dlaqp2 (M, N, OFFSET, A, LDA, JPVT, TAU, VN1, VN2, WORK)
DLAQP2 computes a QR factorization with column pivoting of the matrix block.

Function/Subroutine Documentation

  subroutine dlaqp2 (integerM, integerN, integerOFFSET, double precision, dimension( lda, * )A, integerLDA, integer, dimension( * )JPVT, double precision, dimension( * )TAU, double precision, dimension( * )VN1, double precision, dimension( * )VN2, double precision, dimension( * )WORK)

DLAQP2 computes a QR factorization with column pivoting of the matrix block.

Purpose:

     DLAQP2 computes a QR factorization with column pivoting of
     the block A(OFFSET+1:M,1:N).
     The block A(1:OFFSET,1:N) is accordingly pivoted, but not factorized.

Parameters:
    M

              M is INTEGER
              The number of rows of the matrix A. M >= 0.

    N

              N is INTEGER
              The number of columns of the matrix A. N >= 0.

    OFFSET

              OFFSET is INTEGER
              The number of rows of the matrix A that must be pivoted
              but no factorized. OFFSET >= 0.

    A

              A is DOUBLE PRECISION array, dimension (LDA,N)
              On entry, the M-by-N matrix A.
              On exit, the upper triangle of block A(OFFSET+1:M,1:N) is
              the triangular factor obtained; the elements in block
              A(OFFSET+1:M,1:N) below the diagonal, together with the
              array TAU, represent the orthogonal matrix Q as a product of
              elementary reflectors. Block A(1:OFFSET,1:N) has been
              accordingly pivoted, but no factorized.

    LDA

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

    JPVT

              JPVT is 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

              TAU is DOUBLE PRECISION array, dimension (min(M,N))
              The scalar factors of the elementary reflectors.

    VN1

              VN1 is DOUBLE PRECISION array, dimension (N)
              The vector with the partial column norms.

    VN2

              VN2 is DOUBLE PRECISION array, dimension (N)
              The vector with the exact column norms.

    WORK

              WORK is DOUBLE PRECISION array, dimension (N)

Author:
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Date:
    November 2013

Contributors:
    G. Quintana-Orti, Depto. de Informatica, Universidad Jaime I, Spain X. Sun, Computer Science Dept., Duke University, USA
     Partial column norm updating strategy modified on April 2011 Z. Drmac and Z. Bujanovic, Dept. of Mathematics, University of Zagreb, Croatia.

References:
    LAPACK Working Note 176

Definition at line 149 of file dlaqp2.f.

Author

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