subroutine cgetrf	(	integer	M,
		integer	N,
		complex, dimension( lda, * )	A,
		integer	LDA,
		integer, dimension( * )	IPIV,
		integer	INFO
	)

CGETRF

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Purpose:

 CGETRF 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 right-looking Level 3 BLAS version of the algorithm.

Parameters

[in]	M	M is INTEGER The number of rows of the matrix A. M >= 0.
[in]	N	N is INTEGER The number of columns of the matrix A. N >= 0.
[in,out]	A	A is COMPLEX 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.
[in]	LDA	LDA is INTEGER The leading dimension of the array A. LDA >= max(1,M).
[out]	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).
[out]	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.

Author

Univ. of Tennessee

Univ. of California Berkeley

Univ. of Colorado Denver

NAG Ltd.

Date

November 2015

Definition at line 110 of file cgetrf.f.

*
*  -- LAPACK computational routine (version 3.6.0) --
*  -- LAPACK is a software package provided by Univ. of Tennessee,    --
*  -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
*     November 2015
*
*     .. Scalar Arguments ..
      INTEGER            info, lda, m, n
*     ..
*     .. Array Arguments ..
      INTEGER            ipiv( * )
      COMPLEX            a( lda, * )
*     ..
*
*  =====================================================================
*
*     .. Parameters ..
      COMPLEX            one
      parameter                ( one = ( 1.0e+0, 0.0e+0 ) )
*     ..
*     .. Local Scalars ..
      INTEGER            i, iinfo, j, jb, nb
*     ..
*     .. External Subroutines ..
      EXTERNAL           cgemm, cgetrf2, claswp, ctrsm, xerbla
*     ..
*     .. External Functions ..
      INTEGER            ilaenv
      EXTERNAL           ilaenv
*     ..
*     .. Intrinsic Functions ..
      INTRINSIC          max, min
*     ..
*     .. Executable Statements ..
*
*     Test the input parameters.
*
      info = 0
      IF( m.LT.0 ) THEN
         info = -1
      ELSE IF( n.LT.0 ) THEN
         info = -2
      ELSE IF( lda.LT.max( 1, m ) ) THEN
         info = -4
      END IF
      IF( info.NE.0 ) THEN
         CALL xerbla( 'CGETRF', -info )
         RETURN
      END IF
*
*     Quick return if possible
*
      IF( m.EQ.0 .OR. n.EQ.0 )
     $   RETURN
*
*     Determine the block size for this environment.
*
      nb = ilaenv( 1, 'CGETRF', ' ', m, n, -1, -1 )
      IF( nb.LE.1 .OR. nb.GE.min( m, n ) ) THEN
*
*        Use unblocked code.
*
         CALL cgetrf2( m, n, a, lda, ipiv, info )
      ELSE
*
*        Use blocked code.
*
         DO 20 j = 1, min( m, n ), nb
            jb = min( min( m, n )-j+1, nb )
*
*           Factor diagonal and subdiagonal blocks and test for exact
*           singularity.
*
            CALL cgetrf2( m-j+1, jb, a( j, j ), lda, ipiv( j ), iinfo )
*
*           Adjust INFO and the pivot indices.
*
            IF( info.EQ.0 .AND. iinfo.GT.0 )
     $         info = iinfo + j - 1
            DO 10 i = j, min( m, j+jb-1 )
               ipiv( i ) = j - 1 + ipiv( i )
   10       CONTINUE
*
*           Apply interchanges to columns 1:J-1.
*
            CALL claswp( j-1, a, lda, j, j+jb-1, ipiv, 1 )
*
            IF( j+jb.LE.n ) THEN
*
*              Apply interchanges to columns J+JB:N.
*
               CALL claswp( n-j-jb+1, a( 1, j+jb ), lda, j, j+jb-1,
     $                      ipiv, 1 )
*
*              Compute block row of U.
*
               CALL ctrsm( 'Left', 'Lower', 'No transpose', 'Unit', jb,
     $                     n-j-jb+1, one, a( j, j ), lda, a( j, j+jb ),
     $                     lda )
               IF( j+jb.LE.m ) THEN
*
*                 Update trailing submatrix.
*
                  CALL cgemm( 'No transpose', 'No transpose', m-j-jb+1,
     $                        n-j-jb+1, jb, -one, a( j+jb, j ), lda,
     $                        a( j, j+jb ), lda, one, a( j+jb, j+jb ),
     $                        lda )
               END IF
            END IF
   20    CONTINUE
      END IF
      RETURN
*
*     End of CGETRF
*

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