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|
*> \brief \b SDRVBD
*
* =========== DOCUMENTATION ===========
*
* Online html documentation available at
* http://www.netlib.org/lapack/explore-html/
*
* Definition:
* ===========
*
* SUBROUTINE SDRVBD( NSIZES, MM, NN, NTYPES, DOTYPE, ISEED, THRESH,
* A, LDA, U, LDU, VT, LDVT, ASAV, USAV, VTSAV, S,
* SSAV, E, WORK, LWORK, IWORK, NOUT, INFO )
*
* .. Scalar Arguments ..
* INTEGER INFO, LDA, LDU, LDVT, LWORK, NOUT, NSIZES,
* $ NTYPES
* REAL THRESH
* ..
* .. Array Arguments ..
* LOGICAL DOTYPE( * )
* INTEGER ISEED( 4 ), IWORK( * ), MM( * ), NN( * )
* REAL A( LDA, * ), ASAV( LDA, * ), E( * ), S( * ),
* $ SSAV( * ), U( LDU, * ), USAV( LDU, * ),
* $ VT( LDVT, * ), VTSAV( LDVT, * ), WORK( * )
* ..
*
*
*> \par Purpose:
* =============
*>
*> \verbatim
*>
*> SDRVBD checks the singular value decomposition (SVD) drivers
*> SGESVD, SGESDD, SGESVJ, and SGEJSV.
*>
*> Both SGESVD and SGESDD factor A = U diag(S) VT, where U and VT are
*> orthogonal and diag(S) is diagonal with the entries of the array S
*> on its diagonal. The entries of S are the singular values,
*> nonnegative and stored in decreasing order. U and VT can be
*> optionally not computed, overwritten on A, or computed partially.
*>
*> A is M by N. Let MNMIN = min( M, N ). S has dimension MNMIN.
*> U can be M by M or M by MNMIN. VT can be N by N or MNMIN by N.
*>
*> When SDRVBD is called, a number of matrix "sizes" (M's and N's)
*> and a number of matrix "types" are specified. For each size (M,N)
*> and each type of matrix, and for the minimal workspace as well as
*> workspace adequate to permit blocking, an M x N matrix "A" will be
*> generated and used to test the SVD routines. For each matrix, A will
*> be factored as A = U diag(S) VT and the following 12 tests computed:
*>
*> Test for SGESVD:
*>
*> (1) | A - U diag(S) VT | / ( |A| max(M,N) ulp )
*>
*> (2) | I - U'U | / ( M ulp )
*>
*> (3) | I - VT VT' | / ( N ulp )
*>
*> (4) S contains MNMIN nonnegative values in decreasing order.
*> (Return 0 if true, 1/ULP if false.)
*>
*> (5) | U - Upartial | / ( M ulp ) where Upartial is a partially
*> computed U.
*>
*> (6) | VT - VTpartial | / ( N ulp ) where VTpartial is a partially
*> computed VT.
*>
*> (7) | S - Spartial | / ( MNMIN ulp |S| ) where Spartial is the
*> vector of singular values from the partial SVD
*>
*> Test for SGESDD:
*>
*> (8) | A - U diag(S) VT | / ( |A| max(M,N) ulp )
*>
*> (9) | I - U'U | / ( M ulp )
*>
*> (10) | I - VT VT' | / ( N ulp )
*>
*> (11) S contains MNMIN nonnegative values in decreasing order.
*> (Return 0 if true, 1/ULP if false.)
*>
*> (12) | U - Upartial | / ( M ulp ) where Upartial is a partially
*> computed U.
*>
*> (13) | VT - VTpartial | / ( N ulp ) where VTpartial is a partially
*> computed VT.
*>
*> (14) | S - Spartial | / ( MNMIN ulp |S| ) where Spartial is the
*> vector of singular values from the partial SVD
*>
*> Test for SGESVJ:
*>
*> (15) | A - U diag(S) VT | / ( |A| max(M,N) ulp )
*>
*> (16) | I - U'U | / ( M ulp )
*>
*> (17) | I - VT VT' | / ( N ulp )
*>
*> (18) S contains MNMIN nonnegative values in decreasing order.
*> (Return 0 if true, 1/ULP if false.)
*>
*> Test for SGEJSV:
*>
*> (19) | A - U diag(S) VT | / ( |A| max(M,N) ulp )
*>
*> (20) | I - U'U | / ( M ulp )
*>
*> (21) | I - VT VT' | / ( N ulp )
*>
*> (22) S contains MNMIN nonnegative values in decreasing order.
*> (Return 0 if true, 1/ULP if false.)
*>
*> The "sizes" are specified by the arrays MM(1:NSIZES) and
*> NN(1:NSIZES); the value of each element pair (MM(j),NN(j))
*> specifies one size. The "types" are specified by a logical array
*> DOTYPE( 1:NTYPES ); if DOTYPE(j) is .TRUE., then matrix type "j"
*> will be generated.
*> Currently, the list of possible types is:
*>
*> (1) The zero matrix.
*> (2) The identity matrix.
*> (3) A matrix of the form U D V, where U and V are orthogonal and
*> D has evenly spaced entries 1, ..., ULP with random signs
*> on the diagonal.
*> (4) Same as (3), but multiplied by the underflow-threshold / ULP.
*> (5) Same as (3), but multiplied by the overflow-threshold * ULP.
*> \endverbatim
*
* Arguments:
* ==========
*
*> \param[in] NSIZES
*> \verbatim
*> NSIZES is INTEGER
*> The number of matrix sizes (M,N) contained in the vectors
*> MM and NN.
*> \endverbatim
*>
*> \param[in] MM
*> \verbatim
*> MM is INTEGER array, dimension (NSIZES)
*> The values of the matrix row dimension M.
*> \endverbatim
*>
*> \param[in] NN
*> \verbatim
*> NN is INTEGER array, dimension (NSIZES)
*> The values of the matrix column dimension N.
*> \endverbatim
*>
*> \param[in] NTYPES
*> \verbatim
*> NTYPES is INTEGER
*> The number of elements in DOTYPE. If it is zero, SDRVBD
*> does nothing. It must be at least zero. If it is MAXTYP+1
*> and NSIZES is 1, then an additional type, MAXTYP+1 is
*> defined, which is to use whatever matrices are in A and B.
*> This is only useful if DOTYPE(1:MAXTYP) is .FALSE. and
*> DOTYPE(MAXTYP+1) is .TRUE. .
*> \endverbatim
*>
*> \param[in] DOTYPE
*> \verbatim
*> DOTYPE is LOGICAL array, dimension (NTYPES)
*> If DOTYPE(j) is .TRUE., then for each size (m,n), a matrix
*> of type j will be generated. If NTYPES is smaller than the
*> maximum number of types defined (PARAMETER MAXTYP), then
*> types NTYPES+1 through MAXTYP will not be generated. If
*> NTYPES is larger than MAXTYP, DOTYPE(MAXTYP+1) through
*> DOTYPE(NTYPES) will be ignored.
*> \endverbatim
*>
*> \param[in,out] ISEED
*> \verbatim
*> ISEED is INTEGER array, dimension (4)
*> On entry, the seed of the random number generator. The array
*> elements should be between 0 and 4095; if not they will be
*> reduced mod 4096. Also, ISEED(4) must be odd.
*> On exit, ISEED is changed and can be used in the next call to
*> SDRVBD to continue the same random number sequence.
*> \endverbatim
*>
*> \param[in] THRESH
*> \verbatim
*> THRESH is REAL
*> The threshold value for the test ratios. A result is
*> included in the output file if RESULT >= THRESH. The test
*> ratios are scaled to be O(1), so THRESH should be a small
*> multiple of 1, e.g., 10 or 100. To have every test ratio
*> printed, use THRESH = 0.
*> \endverbatim
*>
*> \param[out] A
*> \verbatim
*> A is REAL array, dimension (LDA,NMAX)
*> where NMAX is the maximum value of N in NN.
*> \endverbatim
*>
*> \param[in] LDA
*> \verbatim
*> LDA is INTEGER
*> The leading dimension of the array A. LDA >= max(1,MMAX),
*> where MMAX is the maximum value of M in MM.
*> \endverbatim
*>
*> \param[out] U
*> \verbatim
*> U is REAL array, dimension (LDU,MMAX)
*> \endverbatim
*>
*> \param[in] LDU
*> \verbatim
*> LDU is INTEGER
*> The leading dimension of the array U. LDU >= max(1,MMAX).
*> \endverbatim
*>
*> \param[out] VT
*> \verbatim
*> VT is REAL array, dimension (LDVT,NMAX)
*> \endverbatim
*>
*> \param[in] LDVT
*> \verbatim
*> LDVT is INTEGER
*> The leading dimension of the array VT. LDVT >= max(1,NMAX).
*> \endverbatim
*>
*> \param[out] ASAV
*> \verbatim
*> ASAV is REAL array, dimension (LDA,NMAX)
*> \endverbatim
*>
*> \param[out] USAV
*> \verbatim
*> USAV is REAL array, dimension (LDU,MMAX)
*> \endverbatim
*>
*> \param[out] VTSAV
*> \verbatim
*> VTSAV is REAL array, dimension (LDVT,NMAX)
*> \endverbatim
*>
*> \param[out] S
*> \verbatim
*> S is REAL array, dimension
*> (max(min(MM,NN)))
*> \endverbatim
*>
*> \param[out] SSAV
*> \verbatim
*> SSAV is REAL array, dimension
*> (max(min(MM,NN)))
*> \endverbatim
*>
*> \param[out] E
*> \verbatim
*> E is REAL array, dimension
*> (max(min(MM,NN)))
*> \endverbatim
*>
*> \param[out] WORK
*> \verbatim
*> WORK is REAL array, dimension (LWORK)
*> \endverbatim
*>
*> \param[in] LWORK
*> \verbatim
*> LWORK is INTEGER
*> The number of entries in WORK. This must be at least
*> max(3*MN+MX,5*MN-4)+2*MN**2 for all pairs
*> pairs (MN,MX)=( min(MM(j),NN(j), max(MM(j),NN(j)) )
*> \endverbatim
*>
*> \param[out] IWORK
*> \verbatim
*> IWORK is INTEGER array, dimension at least 8*min(M,N)
*> \endverbatim
*>
*> \param[in] NOUT
*> \verbatim
*> NOUT is INTEGER
*> The FORTRAN unit number for printing out error messages
*> (e.g., if a routine returns IINFO not equal to 0.)
*> \endverbatim
*>
*> \param[out] INFO
*> \verbatim
*> INFO is INTEGER
*> If 0, then everything ran OK.
*> -1: NSIZES < 0
*> -2: Some MM(j) < 0
*> -3: Some NN(j) < 0
*> -4: NTYPES < 0
*> -7: THRESH < 0
*> -10: LDA < 1 or LDA < MMAX, where MMAX is max( MM(j) ).
*> -12: LDU < 1 or LDU < MMAX.
*> -14: LDVT < 1 or LDVT < NMAX, where NMAX is max( NN(j) ).
*> -21: LWORK too small.
*> If SLATMS, or SGESVD returns an error code, the
*> absolute value of it is returned.
*> \endverbatim
*
* Authors:
* ========
*
*> \author Univ. of Tennessee
*> \author Univ. of California Berkeley
*> \author Univ. of Colorado Denver
*> \author NAG Ltd.
*
*> \date November 2011
*
*> \ingroup single_eig
*
* =====================================================================
SUBROUTINE SDRVBD( NSIZES, MM, NN, NTYPES, DOTYPE, ISEED, THRESH,
$ A, LDA, U, LDU, VT, LDVT, ASAV, USAV, VTSAV, S,
$ SSAV, E, WORK, LWORK, IWORK, NOUT, INFO )
*
* -- LAPACK test routine (version 3.4.0) --
* -- LAPACK is a software package provided by Univ. of Tennessee, --
* -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
* November 2011
*
* .. Scalar Arguments ..
INTEGER INFO, LDA, LDU, LDVT, LWORK, NOUT, NSIZES,
$ NTYPES
REAL THRESH
* ..
* .. Array Arguments ..
LOGICAL DOTYPE( * )
INTEGER ISEED( 4 ), IWORK( * ), MM( * ), NN( * )
REAL A( LDA, * ), ASAV( LDA, * ), E( * ), S( * ),
$ SSAV( * ), U( LDU, * ), USAV( LDU, * ),
$ VT( LDVT, * ), VTSAV( LDVT, * ), WORK( * )
* ..
*
* =====================================================================
*
* .. Parameters ..
REAL ZERO, ONE
PARAMETER ( ZERO = 0.0E0, ONE = 1.0E0 )
INTEGER MAXTYP
PARAMETER ( MAXTYP = 5 )
* ..
* .. Local Scalars ..
LOGICAL BADMM, BADNN
CHARACTER JOBQ, JOBU, JOBVT
CHARACTER*3 PATH
INTEGER I, IINFO, IJQ, IJU, IJVT, IWS, IWTMP, J, JSIZE,
$ JTYPE, LSWORK, M, MINWRK, MMAX, MNMAX, MNMIN,
$ MTYPES, N, NFAIL, NMAX, NTEST
REAL ANORM, DIF, DIV, OVFL, ULP, ULPINV, UNFL
* ..
* .. Local Arrays ..
CHARACTER CJOB( 4 )
INTEGER IOLDSD( 4 )
REAL RESULT( 22 )
* ..
* .. External Functions ..
REAL SLAMCH
EXTERNAL SLAMCH
* ..
* .. External Subroutines ..
EXTERNAL ALASVM, SBDT01, SGESDD, SGESVD, SLABAD, SLACPY,
$ SLASET, SLATMS, SORT01, SORT03, XERBLA, SGESVJ,
$ SGEJSV
* ..
* .. Intrinsic Functions ..
INTRINSIC ABS, MAX, MIN, REAL
* ..
* .. Scalars in Common ..
LOGICAL LERR, OK
CHARACTER*32 SRNAMT
INTEGER INFOT, NUNIT
* ..
* .. Common blocks ..
COMMON / INFOC / INFOT, NUNIT, OK, LERR
COMMON / SRNAMC / SRNAMT
* ..
* .. Data statements ..
DATA CJOB / 'N', 'O', 'S', 'A' /
* ..
* .. Executable Statements ..
*
* Check for errors
*
INFO = 0
BADMM = .FALSE.
BADNN = .FALSE.
MMAX = 1
NMAX = 1
MNMAX = 1
MINWRK = 1
DO 10 J = 1, NSIZES
MMAX = MAX( MMAX, MM( J ) )
IF( MM( J ).LT.0 )
$ BADMM = .TRUE.
NMAX = MAX( NMAX, NN( J ) )
IF( NN( J ).LT.0 )
$ BADNN = .TRUE.
MNMAX = MAX( MNMAX, MIN( MM( J ), NN( J ) ) )
MINWRK = MAX( MINWRK, MAX( 3*MIN( MM( J ),
$ NN( J ) )+MAX( MM( J ), NN( J ) ), 5*MIN( MM( J ),
$ NN( J )-4 ) )+2*MIN( MM( J ), NN( J ) )**2 )
10 CONTINUE
*
* Check for errors
*
IF( NSIZES.LT.0 ) THEN
INFO = -1
ELSE IF( BADMM ) THEN
INFO = -2
ELSE IF( BADNN ) THEN
INFO = -3
ELSE IF( NTYPES.LT.0 ) THEN
INFO = -4
ELSE IF( LDA.LT.MAX( 1, MMAX ) ) THEN
INFO = -10
ELSE IF( LDU.LT.MAX( 1, MMAX ) ) THEN
INFO = -12
ELSE IF( LDVT.LT.MAX( 1, NMAX ) ) THEN
INFO = -14
ELSE IF( MINWRK.GT.LWORK ) THEN
INFO = -21
END IF
*
IF( INFO.NE.0 ) THEN
CALL XERBLA( 'SDRVBD', -INFO )
RETURN
END IF
*
* Initialize constants
*
PATH( 1: 1 ) = 'Single precision'
PATH( 2: 3 ) = 'BD'
NFAIL = 0
NTEST = 0
UNFL = SLAMCH( 'Safe minimum' )
OVFL = ONE / UNFL
CALL SLABAD( UNFL, OVFL )
ULP = SLAMCH( 'Precision' )
ULPINV = ONE / ULP
INFOT = 0
*
* Loop over sizes, types
*
DO 150 JSIZE = 1, NSIZES
M = MM( JSIZE )
N = NN( JSIZE )
MNMIN = MIN( M, N )
*
IF( NSIZES.NE.1 ) THEN
MTYPES = MIN( MAXTYP, NTYPES )
ELSE
MTYPES = MIN( MAXTYP+1, NTYPES )
END IF
*
DO 140 JTYPE = 1, MTYPES
IF( .NOT.DOTYPE( JTYPE ) )
$ GO TO 140
*
DO 20 J = 1, 4
IOLDSD( J ) = ISEED( J )
20 CONTINUE
*
* Compute "A"
*
IF( MTYPES.GT.MAXTYP )
$ GO TO 30
*
IF( JTYPE.EQ.1 ) THEN
*
* Zero matrix
*
CALL SLASET( 'Full', M, N, ZERO, ZERO, A, LDA )
*
ELSE IF( JTYPE.EQ.2 ) THEN
*
* Identity matrix
*
CALL SLASET( 'Full', M, N, ZERO, ONE, A, LDA )
*
ELSE
*
* (Scaled) random matrix
*
IF( JTYPE.EQ.3 )
$ ANORM = ONE
IF( JTYPE.EQ.4 )
$ ANORM = UNFL / ULP
IF( JTYPE.EQ.5 )
$ ANORM = OVFL*ULP
CALL SLATMS( M, N, 'U', ISEED, 'N', S, 4, REAL( MNMIN ),
$ ANORM, M-1, N-1, 'N', A, LDA, WORK, IINFO )
IF( IINFO.NE.0 ) THEN
WRITE( NOUT, FMT = 9996 )'Generator', IINFO, M, N,
$ JTYPE, IOLDSD
INFO = ABS( IINFO )
RETURN
END IF
END IF
*
30 CONTINUE
CALL SLACPY( 'F', M, N, A, LDA, ASAV, LDA )
*
* Do for minimal and adequate (for blocking) workspace
*
DO 130 IWS = 1, 4
*
DO 40 J = 1, 14
RESULT( J ) = -ONE
40 CONTINUE
*
* Test SGESVD: Factorize A
*
IWTMP = MAX( 3*MIN( M, N )+MAX( M, N ), 5*MIN( M, N ) )
LSWORK = IWTMP + ( IWS-1 )*( LWORK-IWTMP ) / 3
LSWORK = MIN( LSWORK, LWORK )
LSWORK = MAX( LSWORK, 1 )
IF( IWS.EQ.4 )
$ LSWORK = LWORK
*
IF( IWS.GT.1 )
$ CALL SLACPY( 'F', M, N, ASAV, LDA, A, LDA )
SRNAMT = 'SGESVD'
CALL SGESVD( 'A', 'A', M, N, A, LDA, SSAV, USAV, LDU,
$ VTSAV, LDVT, WORK, LSWORK, IINFO )
IF( IINFO.NE.0 ) THEN
WRITE( NOUT, FMT = 9995 )'GESVD', IINFO, M, N, JTYPE,
$ LSWORK, IOLDSD
INFO = ABS( IINFO )
RETURN
END IF
*
* Do tests 1--4
*
CALL SBDT01( M, N, 0, ASAV, LDA, USAV, LDU, SSAV, E,
$ VTSAV, LDVT, WORK, RESULT( 1 ) )
IF( M.NE.0 .AND. N.NE.0 ) THEN
CALL SORT01( 'Columns', M, M, USAV, LDU, WORK, LWORK,
$ RESULT( 2 ) )
CALL SORT01( 'Rows', N, N, VTSAV, LDVT, WORK, LWORK,
$ RESULT( 3 ) )
END IF
RESULT( 4 ) = ZERO
DO 50 I = 1, MNMIN - 1
IF( SSAV( I ).LT.SSAV( I+1 ) )
$ RESULT( 4 ) = ULPINV
IF( SSAV( I ).LT.ZERO )
$ RESULT( 4 ) = ULPINV
50 CONTINUE
IF( MNMIN.GE.1 ) THEN
IF( SSAV( MNMIN ).LT.ZERO )
$ RESULT( 4 ) = ULPINV
END IF
*
* Do partial SVDs, comparing to SSAV, USAV, and VTSAV
*
RESULT( 5 ) = ZERO
RESULT( 6 ) = ZERO
RESULT( 7 ) = ZERO
DO 80 IJU = 0, 3
DO 70 IJVT = 0, 3
IF( ( IJU.EQ.3 .AND. IJVT.EQ.3 ) .OR.
$ ( IJU.EQ.1 .AND. IJVT.EQ.1 ) )GO TO 70
JOBU = CJOB( IJU+1 )
JOBVT = CJOB( IJVT+1 )
CALL SLACPY( 'F', M, N, ASAV, LDA, A, LDA )
SRNAMT = 'SGESVD'
CALL SGESVD( JOBU, JOBVT, M, N, A, LDA, S, U, LDU,
$ VT, LDVT, WORK, LSWORK, IINFO )
*
* Compare U
*
DIF = ZERO
IF( M.GT.0 .AND. N.GT.0 ) THEN
IF( IJU.EQ.1 ) THEN
CALL SORT03( 'C', M, MNMIN, M, MNMIN, USAV,
$ LDU, A, LDA, WORK, LWORK, DIF,
$ IINFO )
ELSE IF( IJU.EQ.2 ) THEN
CALL SORT03( 'C', M, MNMIN, M, MNMIN, USAV,
$ LDU, U, LDU, WORK, LWORK, DIF,
$ IINFO )
ELSE IF( IJU.EQ.3 ) THEN
CALL SORT03( 'C', M, M, M, MNMIN, USAV, LDU,
$ U, LDU, WORK, LWORK, DIF,
$ IINFO )
END IF
END IF
RESULT( 5 ) = MAX( RESULT( 5 ), DIF )
*
* Compare VT
*
DIF = ZERO
IF( M.GT.0 .AND. N.GT.0 ) THEN
IF( IJVT.EQ.1 ) THEN
CALL SORT03( 'R', N, MNMIN, N, MNMIN, VTSAV,
$ LDVT, A, LDA, WORK, LWORK, DIF,
$ IINFO )
ELSE IF( IJVT.EQ.2 ) THEN
CALL SORT03( 'R', N, MNMIN, N, MNMIN, VTSAV,
$ LDVT, VT, LDVT, WORK, LWORK,
$ DIF, IINFO )
ELSE IF( IJVT.EQ.3 ) THEN
CALL SORT03( 'R', N, N, N, MNMIN, VTSAV,
$ LDVT, VT, LDVT, WORK, LWORK,
$ DIF, IINFO )
END IF
END IF
RESULT( 6 ) = MAX( RESULT( 6 ), DIF )
*
* Compare S
*
DIF = ZERO
DIV = MAX( REAL( MNMIN )*ULP*S( 1 ), UNFL )
DO 60 I = 1, MNMIN - 1
IF( SSAV( I ).LT.SSAV( I+1 ) )
$ DIF = ULPINV
IF( SSAV( I ).LT.ZERO )
$ DIF = ULPINV
DIF = MAX( DIF, ABS( SSAV( I )-S( I ) ) / DIV )
60 CONTINUE
RESULT( 7 ) = MAX( RESULT( 7 ), DIF )
70 CONTINUE
80 CONTINUE
*
* Test SGESDD: Factorize A
*
IWTMP = 5*MNMIN*MNMIN + 9*MNMIN + MAX( M, N )
LSWORK = IWTMP + ( IWS-1 )*( LWORK-IWTMP ) / 3
LSWORK = MIN( LSWORK, LWORK )
LSWORK = MAX( LSWORK, 1 )
IF( IWS.EQ.4 )
$ LSWORK = LWORK
*
CALL SLACPY( 'F', M, N, ASAV, LDA, A, LDA )
SRNAMT = 'SGESDD'
CALL SGESDD( 'A', M, N, A, LDA, SSAV, USAV, LDU, VTSAV,
$ LDVT, WORK, LSWORK, IWORK, IINFO )
IF( IINFO.NE.0 ) THEN
WRITE( NOUT, FMT = 9995 )'GESDD', IINFO, M, N, JTYPE,
$ LSWORK, IOLDSD
INFO = ABS( IINFO )
RETURN
END IF
*
* Do tests 8--11
*
CALL SBDT01( M, N, 0, ASAV, LDA, USAV, LDU, SSAV, E,
$ VTSAV, LDVT, WORK, RESULT( 8 ) )
IF( M.NE.0 .AND. N.NE.0 ) THEN
CALL SORT01( 'Columns', M, M, USAV, LDU, WORK, LWORK,
$ RESULT( 9 ) )
CALL SORT01( 'Rows', N, N, VTSAV, LDVT, WORK, LWORK,
$ RESULT( 10 ) )
END IF
RESULT( 11 ) = ZERO
DO 90 I = 1, MNMIN - 1
IF( SSAV( I ).LT.SSAV( I+1 ) )
$ RESULT( 11 ) = ULPINV
IF( SSAV( I ).LT.ZERO )
$ RESULT( 11 ) = ULPINV
90 CONTINUE
IF( MNMIN.GE.1 ) THEN
IF( SSAV( MNMIN ).LT.ZERO )
$ RESULT( 11 ) = ULPINV
END IF
*
* Do partial SVDs, comparing to SSAV, USAV, and VTSAV
*
RESULT( 12 ) = ZERO
RESULT( 13 ) = ZERO
RESULT( 14 ) = ZERO
DO 110 IJQ = 0, 2
JOBQ = CJOB( IJQ+1 )
CALL SLACPY( 'F', M, N, ASAV, LDA, A, LDA )
SRNAMT = 'SGESDD'
CALL SGESDD( JOBQ, M, N, A, LDA, S, U, LDU, VT, LDVT,
$ WORK, LSWORK, IWORK, IINFO )
*
* Compare U
*
DIF = ZERO
IF( M.GT.0 .AND. N.GT.0 ) THEN
IF( IJQ.EQ.1 ) THEN
IF( M.GE.N ) THEN
CALL SORT03( 'C', M, MNMIN, M, MNMIN, USAV,
$ LDU, A, LDA, WORK, LWORK, DIF,
$ INFO )
ELSE
CALL SORT03( 'C', M, MNMIN, M, MNMIN, USAV,
$ LDU, U, LDU, WORK, LWORK, DIF,
$ INFO )
END IF
ELSE IF( IJQ.EQ.2 ) THEN
CALL SORT03( 'C', M, MNMIN, M, MNMIN, USAV, LDU,
$ U, LDU, WORK, LWORK, DIF, INFO )
END IF
END IF
RESULT( 12 ) = MAX( RESULT( 12 ), DIF )
*
* Compare VT
*
DIF = ZERO
IF( M.GT.0 .AND. N.GT.0 ) THEN
IF( IJQ.EQ.1 ) THEN
IF( M.GE.N ) THEN
CALL SORT03( 'R', N, MNMIN, N, MNMIN, VTSAV,
$ LDVT, VT, LDVT, WORK, LWORK,
$ DIF, INFO )
ELSE
CALL SORT03( 'R', N, MNMIN, N, MNMIN, VTSAV,
$ LDVT, A, LDA, WORK, LWORK, DIF,
$ INFO )
END IF
ELSE IF( IJQ.EQ.2 ) THEN
CALL SORT03( 'R', N, MNMIN, N, MNMIN, VTSAV,
$ LDVT, VT, LDVT, WORK, LWORK, DIF,
$ INFO )
END IF
END IF
RESULT( 13 ) = MAX( RESULT( 13 ), DIF )
*
* Compare S
*
DIF = ZERO
DIV = MAX( REAL( MNMIN )*ULP*S( 1 ), UNFL )
DO 100 I = 1, MNMIN - 1
IF( SSAV( I ).LT.SSAV( I+1 ) )
$ DIF = ULPINV
IF( SSAV( I ).LT.ZERO )
$ DIF = ULPINV
DIF = MAX( DIF, ABS( SSAV( I )-S( I ) ) / DIV )
100 CONTINUE
RESULT( 14 ) = MAX( RESULT( 14 ), DIF )
110 CONTINUE
*
* Test SGESVJ: Factorize A
* Note: SGESVJ does not work for M < N
*
RESULT( 15 ) = ZERO
RESULT( 16 ) = ZERO
RESULT( 17 ) = ZERO
RESULT( 18 ) = ZERO
*
IF( M.GE.N ) THEN
IWTMP = 5*MNMIN*MNMIN + 9*MNMIN + MAX( M, N )
LSWORK = IWTMP + ( IWS-1 )*( LWORK-IWTMP ) / 3
LSWORK = MIN( LSWORK, LWORK )
LSWORK = MAX( LSWORK, 1 )
IF( IWS.EQ.4 )
$ LSWORK = LWORK
*
CALL SLACPY( 'F', M, N, ASAV, LDA, USAV, LDA )
SRNAMT = 'SGESVJ'
CALL SGESVJ( 'G', 'U', 'V', M, N, USAV, LDA, SSAV,
& 0, A, LDVT, WORK, LWORK, INFO )
*
* SGESVJ retuns V not VT, so we transpose to use the same
* test suite.
*
DO J=1,N
DO I=1,N
VTSAV(J,I) = A(I,J)
END DO
END DO
*
IF( IINFO.NE.0 ) THEN
WRITE( NOUT, FMT = 9995 )'GESVJ', IINFO, M, N,
$ JTYPE, LSWORK, IOLDSD
INFO = ABS( IINFO )
RETURN
END IF
*
* Do tests 15--18
*
CALL SBDT01( M, N, 0, ASAV, LDA, USAV, LDU, SSAV, E,
$ VTSAV, LDVT, WORK, RESULT( 15 ) )
IF( M.NE.0 .AND. N.NE.0 ) THEN
CALL SORT01( 'Columns', M, M, USAV, LDU, WORK,
$ LWORK, RESULT( 16 ) )
CALL SORT01( 'Rows', N, N, VTSAV, LDVT, WORK,
$ LWORK, RESULT( 17 ) )
END IF
RESULT( 18 ) = ZERO
DO 200 I = 1, MNMIN - 1
IF( SSAV( I ).LT.SSAV( I+1 ) )
$ RESULT( 18 ) = ULPINV
IF( SSAV( I ).LT.ZERO )
$ RESULT( 18 ) = ULPINV
200 CONTINUE
IF( MNMIN.GE.1 ) THEN
IF( SSAV( MNMIN ).LT.ZERO )
$ RESULT( 18 ) = ULPINV
END IF
END IF
*
* Test SGEJSV: Factorize A
* Note: SGEJSV does not work for M < N
*
RESULT( 19 ) = ZERO
RESULT( 20 ) = ZERO
RESULT( 21 ) = ZERO
RESULT( 22 ) = ZERO
IF( M.GE.N ) THEN
IWTMP = 5*MNMIN*MNMIN + 9*MNMIN + MAX( M, N )
LSWORK = IWTMP + ( IWS-1 )*( LWORK-IWTMP ) / 3
LSWORK = MIN( LSWORK, LWORK )
LSWORK = MAX( LSWORK, 1 )
IF( IWS.EQ.4 )
$ LSWORK = LWORK
*
CALL SLACPY( 'F', M, N, ASAV, LDA, VTSAV, LDA )
SRNAMT = 'SGEJSV'
CALL SGEJSV( 'G', 'U', 'V', 'R', 'N', 'N',
& M, N, VTSAV, LDA, SSAV, USAV, LDU, A, LDVT,
& WORK, LWORK, IWORK, INFO )
*
* SGEJSV retuns V not VT, so we transpose to use the same
* test suite.
*
DO J=1,N
DO I=1,N
VTSAV(J,I) = A(I,J)
END DO
END DO
*
IF( IINFO.NE.0 ) THEN
WRITE( NOUT, FMT = 9995 )'GESVJ', IINFO, M, N,
$ JTYPE, LSWORK, IOLDSD
INFO = ABS( IINFO )
RETURN
END IF
*
* Do tests 19--22
*
CALL SBDT01( M, N, 0, ASAV, LDA, USAV, LDU, SSAV, E,
$ VTSAV, LDVT, WORK, RESULT( 19 ) )
IF( M.NE.0 .AND. N.NE.0 ) THEN
CALL SORT01( 'Columns', M, M, USAV, LDU, WORK,
$ LWORK, RESULT( 20 ) )
CALL SORT01( 'Rows', N, N, VTSAV, LDVT, WORK,
$ LWORK, RESULT( 21 ) )
END IF
RESULT( 22 ) = ZERO
DO 300 I = 1, MNMIN - 1
IF( SSAV( I ).LT.SSAV( I+1 ) )
$ RESULT( 22 ) = ULPINV
IF( SSAV( I ).LT.ZERO )
$ RESULT( 22 ) = ULPINV
300 CONTINUE
IF( MNMIN.GE.1 ) THEN
IF( SSAV( MNMIN ).LT.ZERO )
$ RESULT( 22 ) = ULPINV
END IF
END IF
*
* End of Loop -- Check for RESULT(j) > THRESH
*
DO 120 J = 1, 22
IF( RESULT( J ).GE.THRESH ) THEN
IF( NFAIL.EQ.0 ) THEN
WRITE( NOUT, FMT = 9999 )
WRITE( NOUT, FMT = 9998 )
END IF
WRITE( NOUT, FMT = 9997 )M, N, JTYPE, IWS, IOLDSD,
$ J, RESULT( J )
NFAIL = NFAIL + 1
END IF
120 CONTINUE
NTEST = NTEST + 22
*
130 CONTINUE
140 CONTINUE
150 CONTINUE
*
* Summary
*
CALL ALASVM( PATH, NOUT, NFAIL, NTEST, 0 )
*
9999 FORMAT( ' SVD -- Real Singular Value Decomposition Driver ',
$ / ' Matrix types (see SDRVBD for details):',
$ / / ' 1 = Zero matrix', / ' 2 = Identity matrix',
$ / ' 3 = Evenly spaced singular values near 1',
$ / ' 4 = Evenly spaced singular values near underflow',
$ / ' 5 = Evenly spaced singular values near overflow', / /
$ ' Tests performed: ( A is dense, U and V are orthogonal,',
$ / 19X, ' S is an array, and Upartial, VTpartial, and',
$ / 19X, ' Spartial are partially computed U, VT and S),', / )
9998 FORMAT( ' 1 = | A - U diag(S) VT | / ( |A| max(M,N) ulp ) ',
$ / ' 2 = | I - U**T U | / ( M ulp ) ',
$ / ' 3 = | I - VT VT**T | / ( N ulp ) ',
$ / ' 4 = 0 if S contains min(M,N) nonnegative values in',
$ ' decreasing order, else 1/ulp',
$ / ' 5 = | U - Upartial | / ( M ulp )',
$ / ' 6 = | VT - VTpartial | / ( N ulp )',
$ / ' 7 = | S - Spartial | / ( min(M,N) ulp |S| )',
$ / ' 8 = | A - U diag(S) VT | / ( |A| max(M,N) ulp ) ',
$ / ' 9 = | I - U**T U | / ( M ulp ) ',
$ / '10 = | I - VT VT**T | / ( N ulp ) ',
$ / '11 = 0 if S contains min(M,N) nonnegative values in',
$ ' decreasing order, else 1/ulp',
$ / '12 = | U - Upartial | / ( M ulp )',
$ / '13 = | VT - VTpartial | / ( N ulp )',
$ / '14 = | S - Spartial | / ( min(M,N) ulp |S| )',
$ / '15 = | A - U diag(S) VT | / ( |A| max(M,N) ulp ) ',
$ / '16 = | I - U**T U | / ( M ulp ) ',
$ / '17 = | I - VT VT**T | / ( N ulp ) ',
$ / '18 = 0 if S contains min(M,N) nonnegative values in',
$ ' decreasing order, else 1/ulp',
$ / '19 = | U - Upartial | / ( M ulp )',
$ / '20 = | VT - VTpartial | / ( N ulp )',
$ / '21 = | S - Spartial | / ( min(M,N) ulp |S| )', / / )
9997 FORMAT( ' M=', I5, ', N=', I5, ', type ', I1, ', IWS=', I1,
$ ', seed=', 4( I4, ',' ), ' test(', I2, ')=', G11.4 )
9996 FORMAT( ' SDRVBD: ', A, ' returned INFO=', I6, '.', / 9X, 'M=',
$ I6, ', N=', I6, ', JTYPE=', I6, ', ISEED=(', 3( I5, ',' ),
$ I5, ')' )
9995 FORMAT( ' SDRVBD: ', A, ' returned INFO=', I6, '.', / 9X, 'M=',
$ I6, ', N=', I6, ', JTYPE=', I6, ', LSWORK=', I6, / 9X,
$ 'ISEED=(', 3( I5, ',' ), I5, ')' )
*
RETURN
*
* End of SDRVBD
*
END
|
