213 lines
		
	
	
		
			5.6 KiB
		
	
	
	
		
			Fortran
		
	
	
	
			
		
		
	
	
			213 lines
		
	
	
		
			5.6 KiB
		
	
	
	
		
			Fortran
		
	
	
	
*> \brief \b SSVDCH
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*
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*  =========== DOCUMENTATION ===========
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*
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* Online html documentation available at 
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*            http://www.netlib.org/lapack/explore-html/ 
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*
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*  Definition:
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*  ===========
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*
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*       SUBROUTINE SSVDCH( N, S, E, SVD, TOL, INFO )
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* 
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*       .. Scalar Arguments ..
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*       INTEGER            INFO, N
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*       REAL               TOL
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*       ..
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*       .. Array Arguments ..
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*       REAL               E( * ), S( * ), SVD( * )
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*       ..
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*  
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*
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*> \par Purpose:
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*  =============
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*>
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*> \verbatim
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*>
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*> SSVDCH checks to see if SVD(1) ,..., SVD(N) are accurate singular
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*> values of the bidiagonal matrix B with diagonal entries
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*> S(1) ,..., S(N) and superdiagonal entries E(1) ,..., E(N-1)).
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*> It does this by expanding each SVD(I) into an interval
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*> [SVD(I) * (1-EPS) , SVD(I) * (1+EPS)], merging overlapping intervals
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*> if any, and using Sturm sequences to count and verify whether each
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*> resulting interval has the correct number of singular values (using
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*> SSVDCT). Here EPS=TOL*MAX(N/10,1)*MACHEP, where MACHEP is the
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*> machine precision. The routine assumes the singular values are sorted
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*> with SVD(1) the largest and SVD(N) smallest.  If each interval
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*> contains the correct number of singular values, INFO = 0 is returned,
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*> otherwise INFO is the index of the first singular value in the first
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*> bad interval.
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*> \endverbatim
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*
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*  Arguments:
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*  ==========
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*
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*> \param[in] N
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*> \verbatim
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*>          N is INTEGER
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*>          The dimension of the bidiagonal matrix B.
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*> \endverbatim
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*>
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*> \param[in] S
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*> \verbatim
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*>          S is REAL array, dimension (N)
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*>          The diagonal entries of the bidiagonal matrix B.
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*> \endverbatim
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*>
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*> \param[in] E
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*> \verbatim
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*>          E is REAL array, dimension (N-1)
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*>          The superdiagonal entries of the bidiagonal matrix B.
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*> \endverbatim
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*>
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*> \param[in] SVD
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*> \verbatim
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*>          SVD is REAL array, dimension (N)
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*>          The computed singular values to be checked.
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*> \endverbatim
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*>
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*> \param[in] TOL
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*> \verbatim
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*>          TOL is REAL
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*>          Error tolerance for checking, a multiplier of the
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*>          machine precision.
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*> \endverbatim
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*>
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*> \param[out] INFO
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*> \verbatim
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*>          INFO is INTEGER
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*>          =0 if the singular values are all correct (to within
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*>             1 +- TOL*MACHEPS)
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*>          >0 if the interval containing the INFO-th singular value
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*>             contains the incorrect number of singular values.
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*> \endverbatim
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*
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*  Authors:
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*  ========
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*
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*> \author Univ. of Tennessee 
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*> \author Univ. of California Berkeley 
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*> \author Univ. of Colorado Denver 
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*> \author NAG Ltd. 
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*
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*> \date November 2011
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*
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*> \ingroup single_eig
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*
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*  =====================================================================
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      SUBROUTINE SSVDCH( N, S, E, SVD, TOL, INFO )
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*
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*  -- LAPACK test routine (version 3.4.0) --
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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 2011
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*
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*     .. Scalar Arguments ..
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      INTEGER            INFO, N
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      REAL               TOL
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*     ..
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*     .. Array Arguments ..
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      REAL               E( * ), S( * ), SVD( * )
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*     ..
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*
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*  =====================================================================
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*
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*     .. Parameters ..
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      REAL               ONE
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      PARAMETER          ( ONE = 1.0E0 )
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      REAL               ZERO
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      PARAMETER          ( ZERO = 0.0E0 )
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*     ..
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*     .. Local Scalars ..
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      INTEGER            BPNT, COUNT, NUML, NUMU, TPNT
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      REAL               EPS, LOWER, OVFL, TUPPR, UNFL, UNFLEP, UPPER
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*     ..
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*     .. External Functions ..
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      REAL               SLAMCH
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      EXTERNAL           SLAMCH
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*     ..
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*     .. External Subroutines ..
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      EXTERNAL           SSVDCT
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*     ..
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*     .. Intrinsic Functions ..
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      INTRINSIC          MAX, SQRT
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*     ..
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*     .. Executable Statements ..
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*
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*     Get machine constants
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*
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      INFO = 0
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      IF( N.LE.0 )
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     $   RETURN
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      UNFL = SLAMCH( 'Safe minimum' )
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      OVFL = SLAMCH( 'Overflow' )
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      EPS = SLAMCH( 'Epsilon' )*SLAMCH( 'Base' )
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*
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*     UNFLEP is chosen so that when an eigenvalue is multiplied by the
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*     scale factor sqrt(OVFL)*sqrt(sqrt(UNFL))/MX in SSVDCT, it exceeds
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*     sqrt(UNFL), which is the lower limit for SSVDCT.
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*
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      UNFLEP = ( SQRT( SQRT( UNFL ) ) / SQRT( OVFL ) )*SVD( 1 ) +
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     $         UNFL / EPS
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*
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*     The value of EPS works best when TOL .GE. 10.
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*
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      EPS = TOL*MAX( N / 10, 1 )*EPS
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*
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*     TPNT points to singular value at right endpoint of interval
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*     BPNT points to singular value at left  endpoint of interval
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*
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      TPNT = 1
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      BPNT = 1
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*
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*     Begin loop over all intervals
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*
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   10 CONTINUE
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      UPPER = ( ONE+EPS )*SVD( TPNT ) + UNFLEP
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      LOWER = ( ONE-EPS )*SVD( BPNT ) - UNFLEP
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      IF( LOWER.LE.UNFLEP )
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     $   LOWER = -UPPER
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*
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*     Begin loop merging overlapping intervals
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*
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   20 CONTINUE
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      IF( BPNT.EQ.N )
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     $   GO TO 30
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      TUPPR = ( ONE+EPS )*SVD( BPNT+1 ) + UNFLEP
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      IF( TUPPR.LT.LOWER )
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     $   GO TO 30
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*
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*     Merge
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*
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      BPNT = BPNT + 1
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      LOWER = ( ONE-EPS )*SVD( BPNT ) - UNFLEP
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      IF( LOWER.LE.UNFLEP )
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     $   LOWER = -UPPER
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      GO TO 20
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   30 CONTINUE
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*
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*     Count singular values in interval [ LOWER, UPPER ]
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*
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      CALL SSVDCT( N, S, E, LOWER, NUML )
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      CALL SSVDCT( N, S, E, UPPER, NUMU )
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      COUNT = NUMU - NUML
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      IF( LOWER.LT.ZERO )
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     $   COUNT = COUNT / 2
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      IF( COUNT.NE.BPNT-TPNT+1 ) THEN
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*
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*        Wrong number of singular values in interval
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*
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         INFO = TPNT
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         GO TO 40
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      END IF
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      TPNT = BPNT + 1
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      BPNT = TPNT
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      IF( TPNT.LE.N )
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     $   GO TO 10
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   40 CONTINUE
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      RETURN
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*
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*     End of SSVDCH
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*
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      END
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