Files
lapack/SRC/dpbstf.f
T
Julie e18d437924 Making LAPACK's code eternal... no more version and date in source files.
GitHub is now enabling us to track accurately version and date.
No need for this anymore.
2021-03-25 10:16:58 -07:00

317 lines
8.9 KiB
FortranFixed

*> \brief \b DPBSTF
*
* =========== DOCUMENTATION ===========
*
* Online html documentation available at
* http://www.netlib.org/lapack/explore-html/
*
*> \htmlonly
*> Download DPBSTF + dependencies
*> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/dpbstf.f">
*> [TGZ]</a>
*> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/dpbstf.f">
*> [ZIP]</a>
*> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/dpbstf.f">
*> [TXT]</a>
*> \endhtmlonly
*
* Definition:
* ===========
*
* SUBROUTINE DPBSTF( UPLO, N, KD, AB, LDAB, INFO )
*
* .. Scalar Arguments ..
* CHARACTER UPLO
* INTEGER INFO, KD, LDAB, N
* ..
* .. Array Arguments ..
* DOUBLE PRECISION AB( LDAB, * )
* ..
*
*
*> \par Purpose:
* =============
*>
*> \verbatim
*>
*> DPBSTF computes a split Cholesky factorization of a real
*> symmetric positive definite band matrix A.
*>
*> This routine is designed to be used in conjunction with DSBGST.
*>
*> The factorization has the form A = S**T*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 DOUBLE PRECISION array, dimension (LDAB,N)
*> On entry, the upper or lower triangle of the symmetric 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**T*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 doubleOTHERcomputational
*
*> \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 s64 s75
*> * a12 a23 a34 a45 a56 a67 * s12 s23 s34 s54 s65 s76
*> 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 s23 s34 s54 s65 s76 *
*> a31 a42 a53 a64 a64 * * s13 s24 s53 s64 s75 * *
*>
*> Array elements marked * are not used by the routine.
*> \endverbatim
*>
* =====================================================================
SUBROUTINE DPBSTF( 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 ..
DOUBLE PRECISION AB( LDAB, * )
* ..
*
* =====================================================================
*
* .. Parameters ..
DOUBLE PRECISION ONE, ZERO
PARAMETER ( ONE = 1.0D+0, ZERO = 0.0D+0 )
* ..
* .. Local Scalars ..
LOGICAL UPPER
INTEGER J, KLD, KM, M
DOUBLE PRECISION AJJ
* ..
* .. External Functions ..
LOGICAL LSAME
EXTERNAL LSAME
* ..
* .. External Subroutines ..
EXTERNAL DSCAL, DSYR, XERBLA
* ..
* .. Intrinsic Functions ..
INTRINSIC MAX, MIN, 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( 'DPBSTF', -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**T*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 = AB( KD+1, J )
IF( AJJ.LE.ZERO )
$ GO TO 50
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 DSCAL( KM, ONE / AJJ, AB( KD+1-KM, J ), 1 )
CALL DSYR( '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**T*U.
*
DO 20 J = 1, M
*
* Compute s(j,j) and test for non-positive-definiteness.
*
AJJ = AB( KD+1, J )
IF( AJJ.LE.ZERO )
$ GO TO 50
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 DSCAL( KM, ONE / AJJ, AB( KD, J+1 ), KLD )
CALL DSYR( 'Upper', KM, -ONE, AB( KD, J+1 ), KLD,
$ AB( KD+1, J+1 ), KLD )
END IF
20 CONTINUE
ELSE
*
* Factorize A(m+1:n,m+1:n) as L**T*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 = AB( 1, J )
IF( AJJ.LE.ZERO )
$ GO TO 50
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 DSCAL( KM, ONE / AJJ, AB( KM+1, J-KM ), KLD )
CALL DSYR( 'Lower', KM, -ONE, AB( KM+1, J-KM ), KLD,
$ AB( 1, J-KM ), KLD )
30 CONTINUE
*
* Factorize the updated submatrix A(1:m,1:m) as U**T*U.
*
DO 40 J = 1, M
*
* Compute s(j,j) and test for non-positive-definiteness.
*
AJJ = AB( 1, J )
IF( AJJ.LE.ZERO )
$ GO TO 50
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 DSCAL( KM, ONE / AJJ, AB( 2, J ), 1 )
CALL DSYR( '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 DPBSTF
*
END