cpbstf.f

*> \brief \b CPBSTF
*
*  =========== DOCUMENTATION ===========
*
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*
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*
*  Definition:
*  ===========
*
*       SUBROUTINE CPBSTF( UPLO, N, KD, AB, LDAB, INFO )
*
*       .. Scalar Arguments ..
*       CHARACTER          UPLO
*       INTEGER            INFO, KD, LDAB, N
*       ..
*       .. Array Arguments ..
*       COMPLEX            AB( LDAB, * )
*       ..
*
*
*> \par Purpose:
*  =============
*>
*> \verbatim
*>
*> CPBSTF computes a split Cholesky factorization of a complex
*> Hermitian positive definite band matrix A.
*>
*> This routine is designed to be used in conjunction with CHBGST.
*>
*> The factorization has the form  A = S**H*S  where S is a band matrix
*> of the same bandwidth as A and the following structure:
*>
*>   S = ( U    )
*>       ( M  L )
*>
*> where U is upper triangular of order m = (n+kd)/2, and L is lower
*> triangular of order n-m.
*> \endverbatim
*
*  Arguments:
*  ==========
*
*> \param[in] UPLO
*> \verbatim
*>          UPLO is CHARACTER*1
*>          = 'U':  Upper triangle of A is stored;
*>          = 'L':  Lower triangle of A is stored.
*> \endverbatim
*>
*> \param[in] N
*> \verbatim
*>          N is INTEGER
*>          The order of the matrix A.  N >= 0.
*> \endverbatim
*>
*> \param[in] KD
*> \verbatim
*>          KD is INTEGER
*>          The number of superdiagonals of the matrix A if UPLO = 'U',
*>          or the number of subdiagonals if UPLO = 'L'.  KD >= 0.
*> \endverbatim
*>
*> \param[in,out] AB
*> \verbatim
*>          AB is COMPLEX array, dimension (LDAB,N)
*>          On entry, the upper or lower triangle of the Hermitian band
*>          matrix A, stored in the first kd+1 rows of the array.  The
*>          j-th column of A is stored in the j-th column of the array AB
*>          as follows:
*>          if UPLO = 'U', AB(kd+1+i-j,j) = A(i,j) for max(1,j-kd)<=i<=j;
*>          if UPLO = 'L', AB(1+i-j,j)    = A(i,j) for j<=i<=min(n,j+kd).
*>
*>          On exit, if INFO = 0, the factor S from the split Cholesky
*>          factorization A = S**H*S. See Further Details.
*> \endverbatim
*>
*> \param[in] LDAB
*> \verbatim
*>          LDAB is INTEGER
*>          The leading dimension of the array AB.  LDAB >= KD+1.
*> \endverbatim
*>
*> \param[out] INFO
*> \verbatim
*>          INFO is INTEGER
*>          = 0: successful exit
*>          < 0: if INFO = -i, the i-th argument had an illegal value
*>          > 0: if INFO = i, the factorization could not be completed,
*>               because the updated element a(i,i) was negative; the
*>               matrix A is not positive definite.
*> \endverbatim
*
*  Authors:
*  ========
*
*> \author Univ. of Tennessee
*> \author Univ. of California Berkeley
*> \author Univ. of Colorado Denver
*> \author NAG Ltd.
*
*> \ingroup pbstf
*
*> \par Further Details:
*  =====================
*>
*> \verbatim
*>
*>  The band storage scheme is illustrated by the following example, when
*>  N = 7, KD = 2:
*>
*>  S = ( s11  s12  s13                     )
*>      (      s22  s23  s24                )
*>      (           s33  s34                )
*>      (                s44                )
*>      (           s53  s54  s55           )
*>      (                s64  s65  s66      )
*>      (                     s75  s76  s77 )
*>
*>  If UPLO = 'U', the array AB holds:
*>
*>  on entry:                          on exit:
*>
*>   *    *   a13  a24  a35  a46  a57   *    *   s13  s24  s53**H s64**H s75**H
*>   *   a12  a23  a34  a45  a56  a67   *   s12  s23  s34  s54**H s65**H s76**H
*>  a11  a22  a33  a44  a55  a66  a77  s11  s22  s33  s44  s55    s66    s77
*>
*>  If UPLO = 'L', the array AB holds:
*>
*>  on entry:                          on exit:
*>
*>  a11  a22  a33  a44  a55  a66  a77  s11    s22    s33    s44  s55  s66  s77
*>  a21  a32  a43  a54  a65  a76   *   s12**H s23**H s34**H s54  s65  s76   *
*>  a31  a42  a53  a64  a64   *    *   s13**H s24**H s53    s64  s75   *    *
*>
*>  Array elements marked * are not used by the routine; s12**H denotes
*>  conjg(s12); the diagonal elements of S are real.
*> \endverbatim
*>
*  =====================================================================
      SUBROUTINE cpbstf( UPLO, N, KD, AB, LDAB, INFO )
*
*  -- 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 ..
      CHARACTER          UPLO
      INTEGER            INFO, KD, LDAB, N
*     ..
*     .. Array Arguments ..
      COMPLEX            AB( ldab, * )
*     ..
*
*  =====================================================================
*
*     .. Parameters ..
      REAL               ONE, ZERO
      parameter( one = 1.0e+0, zero = 0.0e+0 )
*     ..
*     .. Local Scalars ..
      LOGICAL            UPPER
      INTEGER            J, KLD, KM, M
      REAL               AJJ
*     ..
*     .. External Functions ..
      LOGICAL            LSAME
      EXTERNAL           lsame
*     ..
*     .. External Subroutines ..
      EXTERNAL           cher, clacgv, csscal, xerbla
*     ..
*     .. Intrinsic Functions ..
      INTRINSIC          max, min, REAL, SQRT
*     ..
*     .. 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( kd.LT.0 ) THEN
         info = -3
      ELSE IF( ldab.LT.kd+1 ) THEN
         info = -5
      END IF
      IF( info.NE.0 ) THEN
         CALL xerbla( 'CPBSTF', -info )
         RETURN
      END IF
*
*     Quick return if possible
*
      IF( n.EQ.0 )
     $   RETURN
*
      kld = max( 1, ldab-1 )
*
*     Set the splitting point m.
*
      m = ( n+kd ) / 2
*
      IF( upper ) THEN
*
*        Factorize A(m+1:n,m+1:n) as L**H*L, and update A(1:m,1:m).
*
         DO 10 j = n, m + 1, -1
*
*           Compute s(j,j) and test for non-positive-definiteness.
*
            ajj = REAL( AB( KD+1, J ) )
            IF( ajj.LE.zero ) THEN
               ab( kd+1, j ) = ajj
               GO TO 50
            END IF
            ajj = sqrt( ajj )
            ab( kd+1, j ) = ajj
            km = min( j-1, kd )
*
*           Compute elements j-km:j-1 of the j-th column and update the
*           the leading submatrix within the band.
*
            CALL csscal( km, one / ajj, ab( kd+1-km, j ), 1 )
            CALL cher( 'Upper', km, -one, ab( kd+1-km, j ), 1,
     $                 ab( kd+1, j-km ), kld )
   10    CONTINUE
*
*        Factorize the updated submatrix A(1:m,1:m) as U**H*U.
*
         DO 20 j = 1, m
*
*           Compute s(j,j) and test for non-positive-definiteness.
*
            ajj = REAL( AB( KD+1, J ) )
            IF( ajj.LE.zero ) THEN
               ab( kd+1, j ) = ajj
               GO TO 50
            END IF
            ajj = sqrt( ajj )
            ab( kd+1, j ) = ajj
            km = min( kd, m-j )
*
*           Compute elements j+1:j+km of the j-th row and update the
*           trailing submatrix within the band.
*
            IF( km.GT.0 ) THEN
               CALL csscal( km, one / ajj, ab( kd, j+1 ), kld )
               CALL clacgv( km, ab( kd, j+1 ), kld )
               CALL cher( 'Upper', km, -one, ab( kd, j+1 ), kld,
     $                    ab( kd+1, j+1 ), kld )
               CALL clacgv( km, ab( kd, j+1 ), kld )
            END IF
   20    CONTINUE
      ELSE
*
*        Factorize A(m+1:n,m+1:n) as L**H*L, and update A(1:m,1:m).
*
         DO 30 j = n, m + 1, -1
*
*           Compute s(j,j) and test for non-positive-definiteness.
*
            ajj = REAL( AB( 1, J ) )
            IF( ajj.LE.zero ) THEN
               ab( 1, j ) = ajj
               GO TO 50
            END IF
            ajj = sqrt( ajj )
            ab( 1, j ) = ajj
            km = min( j-1, kd )
*
*           Compute elements j-km:j-1 of the j-th row and update the
*           trailing submatrix within the band.
*
            CALL csscal( km, one / ajj, ab( km+1, j-km ), kld )
            CALL clacgv( km, ab( km+1, j-km ), kld )
            CALL cher( 'Lower', km, -one, ab( km+1, j-km ), kld,
     $                 ab( 1, j-km ), kld )
            CALL clacgv( km, ab( km+1, j-km ), kld )
   30    CONTINUE
*
*        Factorize the updated submatrix A(1:m,1:m) as U**H*U.
*
         DO 40 j = 1, m
*
*           Compute s(j,j) and test for non-positive-definiteness.
*
            ajj = REAL( AB( 1, J ) )
            IF( ajj.LE.zero ) THEN
               ab( 1, j ) = ajj
               GO TO 50
            END IF
            ajj = sqrt( ajj )
            ab( 1, j ) = ajj
            km = min( kd, m-j )
*
*           Compute elements j+1:j+km of the j-th column and update the
*           trailing submatrix within the band.
*
            IF( km.GT.0 ) THEN
               CALL csscal( km, one / ajj, ab( 2, j ), 1 )
               CALL cher( 'Lower', km, -one, ab( 2, j ), 1,
     $                    ab( 1, j+1 ), kld )
            END IF
   40    CONTINUE
      END IF
      RETURN
*
   50 CONTINUE
      info = j
      RETURN
*
*     End of CPBSTF
*
      END