dpstrf()

subroutine dpstrf	(	character	uplo,
		integer	n,
		double precision, dimension( lda, * )	a,
		integer	lda,
		integer, dimension( n )	piv,
		integer	rank,
		double precision	tol,
		double precision, dimension( 2*n )	work,
		integer	info )

DPSTRF computes the Cholesky factorization with complete pivoting of a real symmetric positive semidefinite matrix.

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Purpose:

!>
!> DPSTRF computes the Cholesky factorization with complete
!> pivoting of a real symmetric positive semidefinite matrix A.
!>
!> The factorization has the form
!>    P**T * A * P = U**T * U ,  if UPLO = 'U',
!>    P**T * A * P = L  * L**T,  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.
!> 

Parameters

[in]	UPLO	!> UPLO is CHARACTER*1 !> Specifies whether the upper or lower triangular part of the !> symmetric matrix A is stored. !> = 'U': Upper triangular !> = 'L': Lower triangular !>
[in]	N	!> N is INTEGER !> The order of the matrix A. N >= 0. !>
[in,out]	A	!> A is DOUBLE PRECISION 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. !>
[in]	LDA	!> LDA is INTEGER !> The leading dimension of the array A. LDA >= max(1,N). !>
[out]	PIV	!> PIV is INTEGER array, dimension (N) !> PIV is such that the nonzero entries are P( PIV(K), K ) = 1. !>
[out]	RANK	!> RANK is INTEGER !> The rank of A given by the number of steps the algorithm !> completed. !>
[in]	TOL	!> TOL is DOUBLE PRECISION !> 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. !>
[out]	WORK	!> WORK is DOUBLE PRECISION array, dimension (2*N) !> Work space. !>
[out]	INFO	!> INFO is 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 not positive semidefinite. See !> Section 7 of LAPACK Working Note #161 for further !> information. !>

Author

Univ. of Tennessee

Univ. of California Berkeley

Univ. of Colorado Denver

NAG Ltd.

Definition at line 139 of file dpstrf.f.

*
*  -- LAPACK computational routine --
*  -- LAPACK is a software package provided by Univ. of Tennessee,    --
*  -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
*
*     .. Scalar Arguments ..
      DOUBLE PRECISION   TOL
      INTEGER            INFO, LDA, N, RANK
      CHARACTER          UPLO
*     ..
*     .. Array Arguments ..
      DOUBLE PRECISION   A( LDA, * ), WORK( 2*N )
      INTEGER            PIV( N )
*     ..
*
*  =====================================================================
*
*     .. Parameters ..
      DOUBLE PRECISION   ONE, ZERO
      parameter( one = 1.0d+0, zero = 0.0d+0 )
*     ..
*     .. Local Scalars ..
      DOUBLE PRECISION   AJJ, DSTOP, DTEMP
      INTEGER            I, ITEMP, J, JB, K, NB, PVT
      LOGICAL            UPPER
*     ..
*     .. External Functions ..
      DOUBLE PRECISION   DLAMCH
      INTEGER            ILAENV
      LOGICAL            LSAME, DISNAN
      EXTERNAL           dlamch, ilaenv, lsame, disnan
*     ..
*     .. External Subroutines ..
      EXTERNAL           dgemv, dpstf2, dscal, dswap, dsyrk,
     $                   xerbla
*     ..
*     .. Intrinsic Functions ..
      INTRINSIC          max, min, 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( 'DPSTRF', -info )
         RETURN
      END IF
*
*     Quick return if possible
*
      IF( n.EQ.0 )
     $   RETURN
*
*     Get block size
*
      nb = ilaenv( 1, 'DPOTRF', uplo, n, -1, -1, -1 )
      IF( nb.LE.1 .OR. nb.GE.n ) THEN
*
*        Use unblocked code
*
         CALL dpstf2( uplo, n, a( 1, 1 ), lda, piv, rank, tol, work,
     $                info )
         GO TO 200
*
      ELSE
*
*     Initialize PIV
*
         DO 100 i = 1, n
            piv( i ) = i
  100    CONTINUE
*
*     Compute stopping value
*
         pvt = 1
         ajj = a( pvt, pvt )
         DO i = 2, n
            IF( a( i, i ).GT.ajj ) THEN
               pvt = i
               ajj = a( pvt, pvt )
            END IF
         END DO
         IF( ajj.LE.zero.OR.disnan( ajj ) ) THEN
            rank = 0
            info = 1
            GO TO 200
         END IF
*
*     Compute stopping value if not supplied
*
         IF( tol.LT.zero ) THEN
            dstop = n * dlamch( 'Epsilon' ) * ajj
         ELSE
            dstop = tol
         END IF
*
*
         IF( upper ) THEN
*
*           Compute the Cholesky factorization P**T * A * P = U**T * U
*
            DO 140 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 110 i = k, n
                  work( i ) = 0
  110          CONTINUE
*
               DO 130 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 120 i = j, n
*
                     IF( j.GT.k ) THEN
                        work( i ) = work( i ) + a( j-1, i )**2
                     END IF
                     work( n+i ) = a( i, i ) - work( i )
*
  120             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.dstop.OR.disnan( ajj ) ) THEN
                        a( j, j ) = ajj
                        GO TO 190
                     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 dswap( j-1, a( 1, j ), 1, a( 1, pvt ), 1 )
                     IF( pvt.LT.n )
     $                  CALL dswap( n-pvt, a( j, pvt+1 ), lda,
     $                              a( pvt, pvt+1 ), lda )
                     CALL dswap( pvt-j-1, a( j, j+1 ), lda,
     $                           a( j+1, pvt ), 1 )
*
*                    Swap dot products and PIV
*
                     dtemp = work( j )
                     work( j ) = work( pvt )
                     work( pvt ) = dtemp
                     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 dgemv( 'Trans', j-k, n-j, -one, a( k,
     $                           j+1 ),
     $                           lda, a( k, j ), 1, one, a( j, j+1 ),
     $                           lda )
                     CALL dscal( n-j, one / ajj, a( j, j+1 ), lda )
                  END IF
*
  130          CONTINUE
*
*              Update trailing matrix, J already incremented
*
               IF( k+jb.LE.n ) THEN
                  CALL dsyrk( 'Upper', 'Trans', n-j+1, jb, -one,
     $                        a( k, j ), lda, one, a( j, j ), lda )
               END IF
*
  140       CONTINUE
*
         ELSE
*
*        Compute the Cholesky factorization P**T * A * P = L * L**T
*
            DO 180 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 150 i = k, n
                  work( i ) = 0
  150          CONTINUE
*
               DO 170 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 160 i = j, n
*
                     IF( j.GT.k ) THEN
                        work( i ) = work( i ) + a( i, j-1 )**2
                     END IF
                     work( n+i ) = a( i, i ) - work( i )
*
  160             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.dstop.OR.disnan( ajj ) ) THEN
                        a( j, j ) = ajj
                        GO TO 190
                     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 dswap( j-1, a( j, 1 ), lda, a( pvt, 1 ),
     $                           lda )
                     IF( pvt.LT.n )
     $                  CALL dswap( n-pvt, a( pvt+1, j ), 1,
     $                              a( pvt+1, pvt ), 1 )
                     CALL dswap( pvt-j-1, a( j+1, j ), 1, a( pvt,
     $                           j+1 ),
     $                           lda )
*
*                    Swap dot products and PIV
*
                     dtemp = work( j )
                     work( j ) = work( pvt )
                     work( pvt ) = dtemp
                     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 dgemv( 'No Trans', n-j, j-k, -one,
     $                           a( j+1, k ), lda, a( j, k ), lda, one,
     $                           a( j+1, j ), 1 )
                     CALL dscal( n-j, one / ajj, a( j+1, j ), 1 )
                  END IF
*
  170          CONTINUE
*
*              Update trailing matrix, J already incremented
*
               IF( k+jb.LE.n ) THEN
                  CALL dsyrk( 'Lower', 'No Trans', n-j+1, jb, -one,
     $                        a( j, k ), lda, one, a( j, j ), lda )
               END IF
*
  180       CONTINUE
*
         END IF
      END IF
*
*     Ran to completion, A has full rank
*
      rank = n
*
      GO TO 200
  190 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
*
  200 CONTINUE
      RETURN
*
*     End of DPSTRF
*

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