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 NAME
      DGELQ2 - compute an LQ factorization of a real m by n matrix
      A
 SYNOPSIS
      SUBROUTINE DGELQ2( M, N, A, LDA, TAU, WORK, INFO )
          INTEGER        INFO, LDA, M, N
          DOUBLE         PRECISION A( LDA, * ), TAU( * ), WORK( *
                         )
 PURPOSE
      DGELQ2 computes an LQ factorization of a real m by n matrix
      A: A = L * 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, the ele-
              ments on and below the diagonal of the array contain
              the m by min(m,n) lower trapezoidal matrix L (L is
              lower triangular if m <= n); the elements above the
              diagonal, with the array TAU, represent the orthogo-
              nal 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(k) . . . H(2) H(1), 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(1:i-1) = 0 and v(i) = 1; v(i+1:n) is stored on exit in
      A(i,i+1:n), and tau in TAU(i).