Those are just cosmetic changes to update version number and various other minor change.
252 lines
7.4 KiB
FortranFixed
252 lines
7.4 KiB
FortranFixed
SUBROUTINE DPBSTF( UPLO, N, KD, AB, LDAB, INFO )
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*
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* -- LAPACK routine (version 3.2) --
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* -- LAPACK is a software package provided by Univ. of Tennessee, --
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* -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
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* November 2006
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*
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* .. Scalar Arguments ..
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CHARACTER UPLO
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INTEGER INFO, KD, LDAB, N
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* ..
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* .. Array Arguments ..
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DOUBLE PRECISION AB( LDAB, * )
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* ..
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*
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* Purpose
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* =======
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*
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* DPBSTF computes a split Cholesky factorization of a real
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* symmetric positive definite band matrix A.
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*
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* This routine is designed to be used in conjunction with DSBGST.
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*
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* The factorization has the form A = S**T*S where S is a band matrix
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* of the same bandwidth as A and the following structure:
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*
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* S = ( U )
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* ( M L )
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*
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* where U is upper triangular of order m = (n+kd)/2, and L is lower
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* triangular of order n-m.
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*
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* Arguments
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* =========
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*
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* UPLO (input) CHARACTER*1
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* = 'U': Upper triangle of A is stored;
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* = 'L': Lower triangle of A is stored.
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*
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* N (input) INTEGER
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* The order of the matrix A. N >= 0.
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*
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* KD (input) INTEGER
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* The number of superdiagonals of the matrix A if UPLO = 'U',
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* or the number of subdiagonals if UPLO = 'L'. KD >= 0.
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*
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* AB (input/output) DOUBLE PRECISION array, dimension (LDAB,N)
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* On entry, the upper or lower triangle of the symmetric band
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* matrix A, stored in the first kd+1 rows of the array. The
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* j-th column of A is stored in the j-th column of the array AB
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* as follows:
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* if UPLO = 'U', AB(kd+1+i-j,j) = A(i,j) for max(1,j-kd)<=i<=j;
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* if UPLO = 'L', AB(1+i-j,j) = A(i,j) for j<=i<=min(n,j+kd).
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*
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* On exit, if INFO = 0, the factor S from the split Cholesky
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* factorization A = S**T*S. See Further Details.
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*
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* LDAB (input) INTEGER
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* The leading dimension of the array AB. LDAB >= KD+1.
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*
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* INFO (output) INTEGER
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* = 0: successful exit
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* < 0: if INFO = -i, the i-th argument had an illegal value
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* > 0: if INFO = i, the factorization could not be completed,
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* because the updated element a(i,i) was negative; the
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* matrix A is not positive definite.
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*
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* Further Details
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* ===============
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*
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* The band storage scheme is illustrated by the following example, when
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* N = 7, KD = 2:
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*
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* S = ( s11 s12 s13 )
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* ( s22 s23 s24 )
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* ( s33 s34 )
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* ( s44 )
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* ( s53 s54 s55 )
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* ( s64 s65 s66 )
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* ( s75 s76 s77 )
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*
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* If UPLO = 'U', the array AB holds:
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*
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* on entry: on exit:
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*
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* * * a13 a24 a35 a46 a57 * * s13 s24 s53 s64 s75
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* * a12 a23 a34 a45 a56 a67 * s12 s23 s34 s54 s65 s76
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* a11 a22 a33 a44 a55 a66 a77 s11 s22 s33 s44 s55 s66 s77
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*
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* If UPLO = 'L', the array AB holds:
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*
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* on entry: on exit:
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*
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* a11 a22 a33 a44 a55 a66 a77 s11 s22 s33 s44 s55 s66 s77
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* a21 a32 a43 a54 a65 a76 * s12 s23 s34 s54 s65 s76 *
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* a31 a42 a53 a64 a64 * * s13 s24 s53 s64 s75 * *
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*
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* Array elements marked * are not used by the routine.
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*
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* =====================================================================
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*
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* .. Parameters ..
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DOUBLE PRECISION ONE, ZERO
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PARAMETER ( ONE = 1.0D+0, ZERO = 0.0D+0 )
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* ..
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* .. Local Scalars ..
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LOGICAL UPPER
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INTEGER J, KLD, KM, M
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DOUBLE PRECISION AJJ
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* ..
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* .. External Functions ..
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LOGICAL LSAME
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EXTERNAL LSAME
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* ..
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* .. External Subroutines ..
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EXTERNAL DSCAL, DSYR, XERBLA
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* ..
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* .. Intrinsic Functions ..
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INTRINSIC MAX, MIN, SQRT
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* ..
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* .. Executable Statements ..
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*
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* Test the input parameters.
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*
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INFO = 0
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UPPER = LSAME( UPLO, 'U' )
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IF( .NOT.UPPER .AND. .NOT.LSAME( UPLO, 'L' ) ) THEN
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INFO = -1
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ELSE IF( N.LT.0 ) THEN
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INFO = -2
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ELSE IF( KD.LT.0 ) THEN
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INFO = -3
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ELSE IF( LDAB.LT.KD+1 ) THEN
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INFO = -5
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END IF
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IF( INFO.NE.0 ) THEN
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CALL XERBLA( 'DPBSTF', -INFO )
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RETURN
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END IF
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*
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* Quick return if possible
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*
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IF( N.EQ.0 )
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$ RETURN
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*
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KLD = MAX( 1, LDAB-1 )
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*
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* Set the splitting point m.
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*
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M = ( N+KD ) / 2
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*
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IF( UPPER ) THEN
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*
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* Factorize A(m+1:n,m+1:n) as L**T*L, and update A(1:m,1:m).
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*
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DO 10 J = N, M + 1, -1
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*
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* Compute s(j,j) and test for non-positive-definiteness.
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*
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AJJ = AB( KD+1, J )
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IF( AJJ.LE.ZERO )
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$ GO TO 50
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AJJ = SQRT( AJJ )
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AB( KD+1, J ) = AJJ
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KM = MIN( J-1, KD )
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*
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* Compute elements j-km:j-1 of the j-th column and update the
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* the leading submatrix within the band.
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*
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CALL DSCAL( KM, ONE / AJJ, AB( KD+1-KM, J ), 1 )
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CALL DSYR( 'Upper', KM, -ONE, AB( KD+1-KM, J ), 1,
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$ AB( KD+1, J-KM ), KLD )
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10 CONTINUE
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*
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* Factorize the updated submatrix A(1:m,1:m) as U**T*U.
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*
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DO 20 J = 1, M
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*
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* Compute s(j,j) and test for non-positive-definiteness.
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*
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AJJ = AB( KD+1, J )
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IF( AJJ.LE.ZERO )
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$ GO TO 50
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AJJ = SQRT( AJJ )
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AB( KD+1, J ) = AJJ
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KM = MIN( KD, M-J )
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*
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* Compute elements j+1:j+km of the j-th row and update the
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* trailing submatrix within the band.
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*
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IF( KM.GT.0 ) THEN
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CALL DSCAL( KM, ONE / AJJ, AB( KD, J+1 ), KLD )
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CALL DSYR( 'Upper', KM, -ONE, AB( KD, J+1 ), KLD,
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$ AB( KD+1, J+1 ), KLD )
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END IF
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20 CONTINUE
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ELSE
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*
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* Factorize A(m+1:n,m+1:n) as L**T*L, and update A(1:m,1:m).
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*
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DO 30 J = N, M + 1, -1
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*
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* Compute s(j,j) and test for non-positive-definiteness.
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*
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AJJ = AB( 1, J )
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IF( AJJ.LE.ZERO )
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$ GO TO 50
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AJJ = SQRT( AJJ )
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AB( 1, J ) = AJJ
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KM = MIN( J-1, KD )
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*
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* Compute elements j-km:j-1 of the j-th row and update the
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* trailing submatrix within the band.
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*
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CALL DSCAL( KM, ONE / AJJ, AB( KM+1, J-KM ), KLD )
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CALL DSYR( 'Lower', KM, -ONE, AB( KM+1, J-KM ), KLD,
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$ AB( 1, J-KM ), KLD )
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30 CONTINUE
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*
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* Factorize the updated submatrix A(1:m,1:m) as U**T*U.
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*
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DO 40 J = 1, M
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*
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* Compute s(j,j) and test for non-positive-definiteness.
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*
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AJJ = AB( 1, J )
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IF( AJJ.LE.ZERO )
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$ GO TO 50
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AJJ = SQRT( AJJ )
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AB( 1, J ) = AJJ
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KM = MIN( KD, M-J )
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*
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* Compute elements j+1:j+km of the j-th column and update the
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* trailing submatrix within the band.
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*
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IF( KM.GT.0 ) THEN
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CALL DSCAL( KM, ONE / AJJ, AB( 2, J ), 1 )
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CALL DSYR( 'Lower', KM, -ONE, AB( 2, J ), 1,
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$ AB( 1, J+1 ), KLD )
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END IF
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40 CONTINUE
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END IF
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RETURN
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*
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50 CONTINUE
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INFO = J
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RETURN
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*
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* End of DPBSTF
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*
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END
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