Refs #247. Included lapack source codes. Avoid downloading tar.gz from netlib.org
Based on 3.4.2 version, apply patch.for_lapack-3.4.2.
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Zhang Xianyi
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lapack-netlib/SRC/ddisna.f
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lapack-netlib/SRC/ddisna.f
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*> \brief \b DDISNA
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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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*> \htmlonly
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*> Download DDISNA + dependencies
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*> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/ddisna.f">
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*> [TGZ]</a>
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*> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/ddisna.f">
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*> [ZIP]</a>
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*> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/ddisna.f">
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*> [TXT]</a>
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*> \endhtmlonly
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*
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* Definition:
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* ===========
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*
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* SUBROUTINE DDISNA( JOB, M, N, D, SEP, INFO )
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*
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* .. Scalar Arguments ..
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* CHARACTER JOB
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* INTEGER INFO, M, N
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* ..
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* .. Array Arguments ..
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* DOUBLE PRECISION D( * ), SEP( * )
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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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*> DDISNA computes the reciprocal condition numbers for the eigenvectors
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*> of a real symmetric or complex Hermitian matrix or for the left or
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*> right singular vectors of a general m-by-n matrix. The reciprocal
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*> condition number is the 'gap' between the corresponding eigenvalue or
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*> singular value and the nearest other one.
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*>
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*> The bound on the error, measured by angle in radians, in the I-th
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*> computed vector is given by
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*>
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*> DLAMCH( 'E' ) * ( ANORM / SEP( I ) )
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*>
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*> where ANORM = 2-norm(A) = max( abs( D(j) ) ). SEP(I) is not allowed
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*> to be smaller than DLAMCH( 'E' )*ANORM in order to limit the size of
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*> the error bound.
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*>
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*> DDISNA may also be used to compute error bounds for eigenvectors of
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*> the generalized symmetric definite eigenproblem.
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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] JOB
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*> \verbatim
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*> JOB is CHARACTER*1
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*> Specifies for which problem the reciprocal condition numbers
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*> should be computed:
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*> = 'E': the eigenvectors of a symmetric/Hermitian matrix;
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*> = 'L': the left singular vectors of a general matrix;
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*> = 'R': the right singular vectors of a general matrix.
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*> \endverbatim
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*>
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*> \param[in] M
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*> \verbatim
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*> M is INTEGER
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*> The number of rows of the matrix. M >= 0.
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*> \endverbatim
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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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*> If JOB = 'L' or 'R', the number of columns of the matrix,
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*> in which case N >= 0. Ignored if JOB = 'E'.
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*> \endverbatim
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*>
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*> \param[in] D
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*> \verbatim
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*> D is DOUBLE PRECISION array, dimension (M) if JOB = 'E'
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*> dimension (min(M,N)) if JOB = 'L' or 'R'
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*> The eigenvalues (if JOB = 'E') or singular values (if JOB =
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*> 'L' or 'R') of the matrix, in either increasing or decreasing
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*> order. If singular values, they must be non-negative.
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*> \endverbatim
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*>
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*> \param[out] SEP
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*> \verbatim
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*> SEP is DOUBLE PRECISION array, dimension (M) if JOB = 'E'
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*> dimension (min(M,N)) if JOB = 'L' or 'R'
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*> The reciprocal condition numbers of the vectors.
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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: successful exit.
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*> < 0: if INFO = -i, the i-th argument had an illegal value.
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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 auxOTHERcomputational
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*
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* =====================================================================
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SUBROUTINE DDISNA( JOB, M, N, D, SEP, INFO )
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*
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* -- LAPACK computational 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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CHARACTER JOB
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INTEGER INFO, M, N
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* ..
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* .. Array Arguments ..
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DOUBLE PRECISION D( * ), SEP( * )
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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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DOUBLE PRECISION ZERO
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PARAMETER ( ZERO = 0.0D+0 )
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* ..
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* .. Local Scalars ..
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LOGICAL DECR, EIGEN, INCR, LEFT, RIGHT, SING
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INTEGER I, K
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DOUBLE PRECISION ANORM, EPS, NEWGAP, OLDGAP, SAFMIN, THRESH
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* ..
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* .. External Functions ..
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LOGICAL LSAME
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DOUBLE PRECISION DLAMCH
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EXTERNAL LSAME, DLAMCH
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* ..
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* .. Intrinsic Functions ..
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INTRINSIC ABS, MAX, MIN
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* ..
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* .. External Subroutines ..
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EXTERNAL XERBLA
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* ..
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* .. Executable Statements ..
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*
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* Test the input arguments
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*
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INFO = 0
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EIGEN = LSAME( JOB, 'E' )
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LEFT = LSAME( JOB, 'L' )
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RIGHT = LSAME( JOB, 'R' )
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SING = LEFT .OR. RIGHT
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IF( EIGEN ) THEN
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K = M
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ELSE IF( SING ) THEN
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K = MIN( M, N )
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END IF
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IF( .NOT.EIGEN .AND. .NOT.SING ) THEN
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INFO = -1
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ELSE IF( M.LT.0 ) THEN
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INFO = -2
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ELSE IF( K.LT.0 ) THEN
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INFO = -3
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ELSE
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INCR = .TRUE.
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DECR = .TRUE.
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DO 10 I = 1, K - 1
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IF( INCR )
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$ INCR = INCR .AND. D( I ).LE.D( I+1 )
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IF( DECR )
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$ DECR = DECR .AND. D( I ).GE.D( I+1 )
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10 CONTINUE
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IF( SING .AND. K.GT.0 ) THEN
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IF( INCR )
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$ INCR = INCR .AND. ZERO.LE.D( 1 )
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IF( DECR )
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$ DECR = DECR .AND. D( K ).GE.ZERO
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END IF
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IF( .NOT.( INCR .OR. DECR ) )
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$ INFO = -4
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END IF
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IF( INFO.NE.0 ) THEN
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CALL XERBLA( 'DDISNA', -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( K.EQ.0 )
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$ RETURN
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*
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* Compute reciprocal condition numbers
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*
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IF( K.EQ.1 ) THEN
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SEP( 1 ) = DLAMCH( 'O' )
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ELSE
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OLDGAP = ABS( D( 2 )-D( 1 ) )
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SEP( 1 ) = OLDGAP
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DO 20 I = 2, K - 1
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NEWGAP = ABS( D( I+1 )-D( I ) )
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SEP( I ) = MIN( OLDGAP, NEWGAP )
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OLDGAP = NEWGAP
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20 CONTINUE
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SEP( K ) = OLDGAP
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END IF
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IF( SING ) THEN
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IF( ( LEFT .AND. M.GT.N ) .OR. ( RIGHT .AND. M.LT.N ) ) THEN
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IF( INCR )
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$ SEP( 1 ) = MIN( SEP( 1 ), D( 1 ) )
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IF( DECR )
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$ SEP( K ) = MIN( SEP( K ), D( K ) )
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END IF
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END IF
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*
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* Ensure that reciprocal condition numbers are not less than
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* threshold, in order to limit the size of the error bound
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*
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EPS = DLAMCH( 'E' )
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SAFMIN = DLAMCH( 'S' )
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ANORM = MAX( ABS( D( 1 ) ), ABS( D( K ) ) )
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IF( ANORM.EQ.ZERO ) THEN
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THRESH = EPS
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ELSE
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THRESH = MAX( EPS*ANORM, SAFMIN )
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END IF
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DO 30 I = 1, K
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SEP( I ) = MAX( SEP( I ), THRESH )
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30 CONTINUE
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*
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RETURN
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*
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* End of DDISNA
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*
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END
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