      SUBROUTINE CPSTRF( UPLO, N, A, LDA, PIV, RANK, TOL, WORK, INFO )
*
*  -- LAPACK routine (version 3.2) --
*     Craig Lucas, University of Manchester / NAG Ltd.
*     October, 2008
*
*     .. Scalar Arguments ..
      REAL               TOL
      INTEGER            INFO, LDA, N, RANK
      CHARACTER          UPLO
*     ..
*     .. Array Arguments ..
      COMPLEX            A( LDA, * )
      REAL               WORK( 2*N )
      INTEGER            PIV( N )
*     ..
*
*  Purpose
*  =======
*
*  CPSTRF computes the Cholesky factorization with complete
*  pivoting of a complex Hermitian positive semidefinite matrix A.
*
*  The factorization has the form
*     P' * A * P = U' * U ,  if UPLO = 'U',
*     P' * A * P = L  * L',  if UPLO = 'L',
*  where U is an upper triangular matrix and L is lower triangular, and
*  P is stored as vector PIV.
*
*  This algorithm does not attempt to check that A is positive
*  semidefinite. This version of the algorithm calls level 3 BLAS.
*
*  Arguments
*  =========
*
*  UPLO    (input) CHARACTER*1
*          Specifies whether the upper or lower triangular part of the
*          symmetric matrix A is stored.
*          = 'U':  Upper triangular
*          = 'L':  Lower triangular
*
*  N       (input) INTEGER
*          The order of the matrix A.  N >= 0.
*
*  A       (input/output) COMPLEX array, dimension (LDA,N)
*          On entry, the symmetric matrix A.  If UPLO = 'U', the leading
*          n by n upper triangular part of A contains the upper
*          triangular part of the matrix A, and the strictly lower
*          triangular part of A is not referenced.  If UPLO = 'L', the
*          leading n by n lower triangular part of A contains the lower
*          triangular part of the matrix A, and the strictly upper
*          triangular part of A is not referenced.
*
*          On exit, if INFO = 0, the factor U or L from the Cholesky
*          factorization as above.
*
*  LDA     (input) INTEGER
*          The leading dimension of the array A.  LDA >= max(1,N).
*
*  PIV     (output) INTEGER array, dimension (N)
*          PIV is such that the nonzero entries are P( PIV(K), K ) = 1.
*
*  RANK    (output) INTEGER
*          The rank of A given by the number of steps the algorithm
*          completed.
*
*  TOL     (input) REAL
*          User defined tolerance. If TOL < 0, then N*U*MAX( A(K,K) )
*          will be used. The algorithm terminates at the (K-1)st step
*          if the pivot <= TOL.
*
*  WORK    REAL array, dimension (2*N)
*          Work space.
*
*  INFO    (output) INTEGER
*          < 0: If INFO = -K, the K-th argument had an illegal value,
*          = 0: algorithm completed successfully, and
*          > 0: the matrix A is either rank deficient with computed rank
*               as returned in RANK, or is indefinite.  See Section 7 of
*               LAPACK Working Note #161 for further information.
*
*  =====================================================================
*
*     .. Parameters ..
      REAL               ONE, ZERO
      PARAMETER          ( ONE = 1.0E+0, ZERO = 0.0E+0 )
      COMPLEX            CONE
      PARAMETER          ( CONE = ( 1.0E+0, 0.0E+0 ) )
*     ..
*     .. Local Scalars ..
      COMPLEX            CTEMP
      REAL               AJJ, SSTOP, STEMP
      INTEGER            I, ITEMP, J, JB, K, NB, PVT
      LOGICAL            UPPER
*     ..
*     .. External Functions ..
      REAL               SLAMCH
      INTEGER            ILAENV
      LOGICAL            LSAME, SISNAN
      EXTERNAL           SLAMCH, ILAENV, LSAME, SISNAN
*     ..
*     .. External Subroutines ..
      EXTERNAL           CGEMV, CHERK, CLACGV, CPSTF2, CSSCAL, CSWAP,
     $                   XERBLA
*     ..
*     .. Intrinsic Functions ..
      INTRINSIC          CONJG, MAX, MIN, REAL, SQRT, MAXLOC
*     ..
*     .. Executable Statements ..
*
*     Test the input parameters.
*
      INFO = 0
      UPPER = LSAME( UPLO, 'U' )
      IF( .NOT.UPPER .AND. .NOT.LSAME( UPLO, 'L' ) ) THEN
         INFO = -1
      ELSE IF( N.LT.0 ) THEN
         INFO = -2
      ELSE IF( LDA.LT.MAX( 1, N ) ) THEN
         INFO = -4
      END IF
      IF( INFO.NE.0 ) THEN
         CALL XERBLA( 'CPSTRF', -INFO )
         RETURN
      END IF
*
*     Quick return if possible
*
      IF( N.EQ.0 )
     $   RETURN
*
*     Get block size
*
      NB = ILAENV( 1, 'CPOTRF', UPLO, N, -1, -1, -1 )
      IF( NB.LE.1 .OR. NB.GE.N ) THEN
*
*        Use unblocked code
*
         CALL CPSTF2( UPLO, N, A( 1, 1 ), LDA, PIV, RANK, TOL, WORK,
     $                INFO )
         GO TO 230
*
      ELSE
*
*     Initialize PIV
*
         DO 100 I = 1, N
            PIV( I ) = I
  100    CONTINUE
*
*     Compute stopping value
*
         DO 110 I = 1, N
            WORK( I ) = REAL( A( I, I ) )
  110    CONTINUE
         PVT = MAXLOC( WORK( 1:N ), 1 )
         AJJ = REAL( A( PVT, PVT ) )
         IF( AJJ.EQ.ZERO.OR.SISNAN( AJJ ) ) THEN
            RANK = 0
            INFO = 1
            GO TO 230
         END IF
*
*     Compute stopping value if not supplied
*
         IF( TOL.LT.ZERO ) THEN
            SSTOP = N * SLAMCH( 'Epsilon' ) * AJJ
         ELSE
            SSTOP = TOL
         END IF
*
*
         IF( UPPER ) THEN
*
*           Compute the Cholesky factorization P' * A * P = U' * U
*
            DO 160 K = 1, N, NB
*
*              Account for last block not being NB wide
*
               JB = MIN( NB, N-K+1 )
*
*              Set relevant part of first half of WORK to zero,
*              holds dot products
*
               DO 120 I = K, N
                  WORK( I ) = 0
  120          CONTINUE
*
               DO 150 J = K, K + JB - 1
*
*              Find pivot, test for exit, else swap rows and columns
*              Update dot products, compute possible pivots which are
*              stored in the second half of WORK
*
                  DO 130 I = J, N
*
                     IF( J.GT.K ) THEN
                        WORK( I ) = WORK( I ) +
     $                              REAL( CONJG( A( J-1, I ) )*
     $                                    A( J-1, I ) )
                     END IF
                     WORK( N+I ) = REAL( A( I, I ) ) - WORK( I )
*
  130             CONTINUE
*
                  IF( J.GT.1 ) THEN
                     ITEMP = MAXLOC( WORK( (N+J):(2*N) ), 1 )
                     PVT = ITEMP + J - 1
                     AJJ = WORK( N+PVT )
                     IF( AJJ.LE.SSTOP.OR.SISNAN( AJJ ) ) THEN
                        A( J, J ) = AJJ
                        GO TO 220
                     END IF
                  END IF
*
                  IF( J.NE.PVT ) THEN
*
*                    Pivot OK, so can now swap pivot rows and columns
*
                     A( PVT, PVT ) = A( J, J )
                     CALL CSWAP( J-1, A( 1, J ), 1, A( 1, PVT ), 1 )
                     IF( PVT.LT.N )
     $                  CALL CSWAP( N-PVT, A( J, PVT+1 ), LDA,
     $                              A( PVT, PVT+1 ), LDA )
                     DO 140 I = J + 1, PVT - 1
                        CTEMP = CONJG( A( J, I ) )
                        A( J, I ) = CONJG( A( I, PVT ) )
                        A( I, PVT ) = CTEMP
  140                CONTINUE
                     A( J, PVT ) = CONJG( A( J, PVT ) )
*
*                    Swap dot products and PIV
*
                     STEMP = WORK( J )
                     WORK( J ) = WORK( PVT )
                     WORK( PVT ) = STEMP
                     ITEMP = PIV( PVT )
                     PIV( PVT ) = PIV( J )
                     PIV( J ) = ITEMP
                  END IF
*
                  AJJ = SQRT( AJJ )
                  A( J, J ) = AJJ
*
*                 Compute elements J+1:N of row J.
*
                  IF( J.LT.N ) THEN
                     CALL CLACGV( J-1, A( 1, J ), 1 )
                     CALL CGEMV( 'Trans', J-K, N-J, -CONE, A( K, J+1 ),
     $                           LDA, A( K, J ), 1, CONE, A( J, J+1 ),
     $                           LDA )
                     CALL CLACGV( J-1, A( 1, J ), 1 )
                     CALL CSSCAL( N-J, ONE / AJJ, A( J, J+1 ), LDA )
                  END IF
*
  150          CONTINUE
*
*              Update trailing matrix, J already incremented
*
               IF( K+JB.LE.N ) THEN
                  CALL CHERK( 'Upper', 'Conj Trans', N-J+1, JB, -ONE,
     $                        A( K, J ), LDA, ONE, A( J, J ), LDA )
               END IF
*
  160       CONTINUE
*
         ELSE
*
*        Compute the Cholesky factorization P' * A * P = L * L'
*
            DO 210 K = 1, N, NB
*
*              Account for last block not being NB wide
*
               JB = MIN( NB, N-K+1 )
*
*              Set relevant part of first half of WORK to zero,
*              holds dot products
*
               DO 170 I = K, N
                  WORK( I ) = 0
  170          CONTINUE
*
               DO 200 J = K, K + JB - 1
*
*              Find pivot, test for exit, else swap rows and columns
*              Update dot products, compute possible pivots which are
*              stored in the second half of WORK
*
                  DO 180 I = J, N
*
                     IF( J.GT.K ) THEN
                        WORK( I ) = WORK( I ) +
     $                              REAL( CONJG( A( I, J-1 ) )*
     $                                    A( I, J-1 ) )
                     END IF
                     WORK( N+I ) = REAL( A( I, I ) ) - WORK( I )
*
  180             CONTINUE
*
                  IF( J.GT.1 ) THEN
                     ITEMP = MAXLOC( WORK( (N+J):(2*N) ), 1 )
                     PVT = ITEMP + J - 1
                     AJJ = WORK( N+PVT )
                     IF( AJJ.LE.SSTOP.OR.SISNAN( AJJ ) ) THEN
                        A( J, J ) = AJJ
                        GO TO 220
                     END IF
                  END IF
*
                  IF( J.NE.PVT ) THEN
*
*                    Pivot OK, so can now swap pivot rows and columns
*
                     A( PVT, PVT ) = A( J, J )
                     CALL CSWAP( J-1, A( J, 1 ), LDA, A( PVT, 1 ), LDA )
                     IF( PVT.LT.N )
     $                  CALL CSWAP( N-PVT, A( PVT+1, J ), 1,
     $                              A( PVT+1, PVT ), 1 )
                     DO 190 I = J + 1, PVT - 1
                        CTEMP = CONJG( A( I, J ) )
                        A( I, J ) = CONJG( A( PVT, I ) )
                        A( PVT, I ) = CTEMP
  190                CONTINUE
                     A( PVT, J ) = CONJG( A( PVT, J ) )
*
*                    Swap dot products and PIV
*
                     STEMP = WORK( J )
                     WORK( J ) = WORK( PVT )
                     WORK( PVT ) = STEMP
                     ITEMP = PIV( PVT )
                     PIV( PVT ) = PIV( J )
                     PIV( J ) = ITEMP
                  END IF
*
                  AJJ = SQRT( AJJ )
                  A( J, J ) = AJJ
*
*                 Compute elements J+1:N of column J.
*
                  IF( J.LT.N ) THEN
                     CALL CLACGV( J-1, A( J, 1 ), LDA )
                     CALL CGEMV( 'No Trans', N-J, J-K, -CONE,
     $                           A( J+1, K ), LDA, A( J, K ), LDA, CONE,
     $                           A( J+1, J ), 1 )
                     CALL CLACGV( J-1, A( J, 1 ), LDA )
                     CALL CSSCAL( N-J, ONE / AJJ, A( J+1, J ), 1 )
                  END IF
*
  200          CONTINUE
*
*              Update trailing matrix, J already incremented
*
               IF( K+JB.LE.N ) THEN
                  CALL CHERK( 'Lower', 'No Trans', N-J+1, JB, -ONE,
     $                        A( J, K ), LDA, ONE, A( J, J ), LDA )
               END IF
*
  210       CONTINUE
*
         END IF
      END IF
*
*     Ran to completion, A has full rank
*
      RANK = N
*
      GO TO 230
  220 CONTINUE
*
*     Rank is the number of steps completed.  Set INFO = 1 to signal
*     that the factorization cannot be used to solve a system.
*
      RANK = J - 1
      INFO = 1
*
  230 CONTINUE
      RETURN
*
*     End of CPSTRF
*
      END
