!>
!> DGETRF2 computes an LU factorization of a general M-by-N matrix A
!> using partial pivoting with row interchanges.
!>
!> The factorization has the form
!>    A = P * L * U
!> where P is a permutation matrix, L is lower triangular with unit
!> diagonal elements (lower trapezoidal if m > n), and U is upper
!> triangular (upper trapezoidal if m < n).
!>
!> This is the recursive version of the algorithm. It divides
!> the matrix into four submatrices:
!>
!>        [  A11 | A12  ]  where A11 is n1 by n1 and A22 is n2 by n2
!>    A = [ -----|----- ]  with n1 = min(m,n)/2
!>        [  A21 | A22  ]       n2 = n-n1
!>
!>                                       [ A11 ]
!> The subroutine calls itself to factor [ --- ],
!>                                       [ A12 ]
!>                 [ A12 ]
!> do the swaps on [ --- ], solve A12, update A22,
!>                 [ A22 ]
!>
!> then calls itself to factor A22 and do the swaps on A21.
!>
!> 

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.
!> 

A

!>          A is DOUBLE PRECISION array, dimension (LDA,N)
!>          On entry, the M-by-N matrix to be factored.
!>          On exit, the factors L and U from the factorization
!>          A = P*L*U; the unit diagonal elements of L are not stored.
!> 

LDA

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

IPIV

!>          IPIV is INTEGER array, dimension (min(M,N))
!>          The pivot indices; for 1 <= i <= min(M,N), row i of the
!>          matrix was interchanged with row IPIV(i).
!> 

INFO

!>          INFO is INTEGER
!>          = 0:  successful exit
!>          < 0:  if INFO = -i, the i-th argument had an illegal value
!>          > 0:  if INFO = i, U(i,i) is exactly zero. The factorization
!>                has been completed, but the factor U is exactly
!>                singular, and division by zero will occur if it is used
!>                to solve a system of equations.
!> 

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