cdrves.f
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F
803 行
SUBROUTINE CDRVES( NSIZES, NN, NTYPES, DOTYPE, ISEED, THRESH,
$ NOUNIT, A, LDA, H, HT, W, WT, VS, LDVS, RESULT,
$ WORK, NWORK, RWORK, IWORK, BWORK, INFO )
*
* -- LAPACK test routine (version 3.1) --
* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd..
* November 2006
*
* .. Scalar Arguments ..
INTEGER INFO, LDA, LDVS, NOUNIT, NSIZES, NTYPES, NWORK
REAL THRESH
* ..
* .. Array Arguments ..
LOGICAL BWORK( * ), DOTYPE( * )
INTEGER ISEED( 4 ), IWORK( * ), NN( * )
REAL RESULT( 13 ), RWORK( * )
COMPLEX A( LDA, * ), H( LDA, * ), HT( LDA, * ),
$ VS( LDVS, * ), W( * ), WORK( * ), WT( * )
* ..
*
* Purpose
* =======
*
* CDRVES checks the nonsymmetric eigenvalue (Schur form) problem
* driver CGEES.
*
* When CDRVES is called, a number of matrix "sizes" ("n's") and a
* number of matrix "types" are specified. For each size ("n")
* and each type of matrix, one matrix will be generated and used
* to test the nonsymmetric eigenroutines. For each matrix, 13
* tests will be performed:
*
* (1) 0 if T is in Schur form, 1/ulp otherwise
* (no sorting of eigenvalues)
*
* (2) | A - VS T VS' | / ( n |A| ulp )
*
* Here VS is the matrix of Schur eigenvectors, and T is in Schur
* form (no sorting of eigenvalues).
*
* (3) | I - VS VS' | / ( n ulp ) (no sorting of eigenvalues).
*
* (4) 0 if W are eigenvalues of T
* 1/ulp otherwise
* (no sorting of eigenvalues)
*
* (5) 0 if T(with VS) = T(without VS),
* 1/ulp otherwise
* (no sorting of eigenvalues)
*
* (6) 0 if eigenvalues(with VS) = eigenvalues(without VS),
* 1/ulp otherwise
* (no sorting of eigenvalues)
*
* (7) 0 if T is in Schur form, 1/ulp otherwise
* (with sorting of eigenvalues)
*
* (8) | A - VS T VS' | / ( n |A| ulp )
*
* Here VS is the matrix of Schur eigenvectors, and T is in Schur
* form (with sorting of eigenvalues).
*
* (9) | I - VS VS' | / ( n ulp ) (with sorting of eigenvalues).
*
* (10) 0 if W are eigenvalues of T
* 1/ulp otherwise
* (with sorting of eigenvalues)
*
* (11) 0 if T(with VS) = T(without VS),
* 1/ulp otherwise
* (with sorting of eigenvalues)
*
* (12) 0 if eigenvalues(with VS) = eigenvalues(without VS),
* 1/ulp otherwise
* (with sorting of eigenvalues)
*
* (13) if sorting worked and SDIM is the number of
* eigenvalues which were SELECTed
*
* The "sizes" are specified by an array NN(1:NSIZES); the value of
* each element 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 (transposed) Jordan block, with 1's on the diagonal.
*
* (4) A diagonal matrix with evenly spaced entries
* 1, ..., ULP and random complex angles.
* (ULP = (first number larger than 1) - 1 )
* (5) A diagonal matrix with geometrically spaced entries
* 1, ..., ULP and random complex angles.
* (6) A diagonal matrix with "clustered" entries 1, ULP, ..., ULP
* and random complex angles.
*
* (7) Same as (4), but multiplied by a constant near
* the overflow threshold
* (8) Same as (4), but multiplied by a constant near
* the underflow threshold
*
* (9) A matrix of the form U' T U, where U is unitary and
* T has evenly spaced entries 1, ..., ULP with random
* complex angles on the diagonal and random O(1) entries in
* the upper triangle.
*
* (10) A matrix of the form U' T U, where U is unitary and
* T has geometrically spaced entries 1, ..., ULP with random
* complex angles on the diagonal and random O(1) entries in
* the upper triangle.
*
* (11) A matrix of the form U' T U, where U is orthogonal and
* T has "clustered" entries 1, ULP,..., ULP with random
* complex angles on the diagonal and random O(1) entries in
* the upper triangle.
*
* (12) A matrix of the form U' T U, where U is unitary and
* T has complex eigenvalues randomly chosen from
* ULP < |z| < 1 and random O(1) entries in the upper
* triangle.
*
* (13) A matrix of the form X' T X, where X has condition
* SQRT( ULP ) and T has evenly spaced entries 1, ..., ULP
* with random complex angles on the diagonal and random O(1)
* entries in the upper triangle.
*
* (14) A matrix of the form X' T X, where X has condition
* SQRT( ULP ) and T has geometrically spaced entries
* 1, ..., ULP with random complex angles on the diagonal
* and random O(1) entries in the upper triangle.
*
* (15) A matrix of the form X' T X, where X has condition
* SQRT( ULP ) and T has "clustered" entries 1, ULP,..., ULP
* with random complex angles on the diagonal and random O(1)
* entries in the upper triangle.
*
* (16) A matrix of the form X' T X, where X has condition
* SQRT( ULP ) and T has complex eigenvalues randomly chosen
* from ULP < |z| < 1 and random O(1) entries in the upper
* triangle.
*
* (17) Same as (16), but multiplied by a constant
* near the overflow threshold
* (18) Same as (16), but multiplied by a constant
* near the underflow threshold
*
* (19) Nonsymmetric matrix with random entries chosen from (-1,1).
* If N is at least 4, all entries in first two rows and last
* row, and first column and last two columns are zero.
* (20) Same as (19), but multiplied by a constant
* near the overflow threshold
* (21) Same as (19), but multiplied by a constant
* near the underflow threshold
*
* Arguments
* =========
*
* NSIZES (input) INTEGER
* The number of sizes of matrices to use. If it is zero,
* CDRVES does nothing. It must be at least zero.
*
* NN (input) INTEGER array, dimension (NSIZES)
* An array containing the sizes to be used for the matrices.
* Zero values will be skipped. The values must be at least
* zero.
*
* NTYPES (input) INTEGER
* The number of elements in DOTYPE. If it is zero, CDRVES
* 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 matrix is in A. This
* is only useful if DOTYPE(1:MAXTYP) is .FALSE. and
* DOTYPE(MAXTYP+1) is .TRUE. .
*
* DOTYPE (input) LOGICAL array, dimension (NTYPES)
* If DOTYPE(j) is .TRUE., then for each size in NN a
* matrix of that size and 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.
*
* ISEED (input/output) INTEGER array, dimension (4)
* On entry ISEED specifies 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. The random number generator uses a linear
* congruential sequence limited to small integers, and so
* should produce machine independent random numbers. The
* values of ISEED are changed on exit, and can be used in the
* next call to CDRVES to continue the same random number
* sequence.
*
* THRESH (input) REAL
* A test will count as "failed" if the "error", computed as
* described above, exceeds THRESH. Note that the error
* is scaled to be O(1), so THRESH should be a reasonably
* small multiple of 1, e.g., 10 or 100. In particular,
* it should not depend on the precision (single vs. double)
* or the size of the matrix. It must be at least zero.
*
* NOUNIT (input) INTEGER
* The FORTRAN unit number for printing out error messages
* (e.g., if a routine returns INFO not equal to 0.)
*
* A (workspace) COMPLEX array, dimension (LDA, max(NN))
* Used to hold the matrix whose eigenvalues are to be
* computed. On exit, A contains the last matrix actually used.
*
* LDA (input) INTEGER
* The leading dimension of A, and H. LDA must be at
* least 1 and at least max( NN ).
*
* H (workspace) COMPLEX array, dimension (LDA, max(NN))
* Another copy of the test matrix A, modified by CGEES.
*
* HT (workspace) COMPLEX array, dimension (LDA, max(NN))
* Yet another copy of the test matrix A, modified by CGEES.
*
* W (workspace) COMPLEX array, dimension (max(NN))
* The computed eigenvalues of A.
*
* WT (workspace) COMPLEX array, dimension (max(NN))
* Like W, this array contains the eigenvalues of A,
* but those computed when CGEES only computes a partial
* eigendecomposition, i.e. not Schur vectors
*
* VS (workspace) COMPLEX array, dimension (LDVS, max(NN))
* VS holds the computed Schur vectors.
*
* LDVS (input) INTEGER
* Leading dimension of VS. Must be at least max(1,max(NN)).
*
* RESULT (output) REAL array, dimension (13)
* The values computed by the 13 tests described above.
* The values are currently limited to 1/ulp, to avoid overflow.
*
* WORK (workspace) COMPLEX array, dimension (NWORK)
*
* NWORK (input) INTEGER
* The number of entries in WORK. This must be at least
* 5*NN(j)+2*NN(j)**2 for all j.
*
* RWORK (workspace) REAL array, dimension (max(NN))
*
* IWORK (workspace) INTEGER array, dimension (max(NN))
*
* INFO (output) INTEGER
* If 0, then everything ran OK.
* -1: NSIZES < 0
* -2: Some NN(j) < 0
* -3: NTYPES < 0
* -6: THRESH < 0
* -9: LDA < 1 or LDA < NMAX, where NMAX is max( NN(j) ).
* -15: LDVS < 1 or LDVS < NMAX, where NMAX is max( NN(j) ).
* -18: NWORK too small.
* If CLATMR, CLATMS, CLATME or CGEES returns an error code,
* the absolute value of it is returned.
*
*-----------------------------------------------------------------------
*
* Some Local Variables and Parameters:
* ---- ----- --------- --- ----------
* ZERO, ONE Real 0 and 1.
* MAXTYP The number of types defined.
* NMAX Largest value in NN.
* NERRS The number of tests which have exceeded THRESH
* COND, CONDS,
* IMODE Values to be passed to the matrix generators.
* ANORM Norm of A; passed to matrix generators.
*
* OVFL, UNFL Overflow and underflow thresholds.
* ULP, ULPINV Finest relative precision and its inverse.
* RTULP, RTULPI Square roots of the previous 4 values.
* The following four arrays decode JTYPE:
* KTYPE(j) The general type (1-10) for type "j".
* KMODE(j) The MODE value to be passed to the matrix
* generator for type "j".
* KMAGN(j) The order of magnitude ( O(1),
* O(overflow^(1/2) ), O(underflow^(1/2) )
* KCONDS(j) Select whether CONDS is to be 1 or
* 1/sqrt(ulp). (0 means irrelevant.)
*
* =====================================================================
*
* .. Parameters ..
COMPLEX CZERO
PARAMETER ( CZERO = ( 0.0E+0, 0.0E+0 ) )
COMPLEX CONE
PARAMETER ( CONE = ( 1.0E+0, 0.0E+0 ) )
REAL ZERO, ONE
PARAMETER ( ZERO = 0.0E+0, ONE = 1.0E+0 )
INTEGER MAXTYP
PARAMETER ( MAXTYP = 21 )
* ..
* .. Local Scalars ..
LOGICAL BADNN
CHARACTER SORT
CHARACTER*3 PATH
INTEGER I, IINFO, IMODE, ISORT, ITYPE, IWK, J, JCOL,
$ JSIZE, JTYPE, KNTEIG, LWORK, MTYPES, N,
$ NERRS, NFAIL, NMAX, NNWORK, NTEST, NTESTF,
$ NTESTT, RSUB, SDIM
REAL ANORM, COND, CONDS, OVFL, RTULP, RTULPI, ULP,
$ ULPINV, UNFL
* ..
* .. Local Arrays ..
INTEGER IDUMMA( 1 ), IOLDSD( 4 ), KCONDS( MAXTYP ),
$ KMAGN( MAXTYP ), KMODE( MAXTYP ),
$ KTYPE( MAXTYP )
REAL RES( 2 )
* ..
* .. Arrays in Common ..
LOGICAL SELVAL( 20 )
REAL SELWI( 20 ), SELWR( 20 )
* ..
* .. Scalars in Common ..
INTEGER SELDIM, SELOPT
* ..
* .. Common blocks ..
COMMON / SSLCT / SELOPT, SELDIM, SELVAL, SELWR, SELWI
* ..
* .. External Functions ..
LOGICAL CSLECT
REAL SLAMCH
EXTERNAL CSLECT, SLAMCH
* ..
* .. External Subroutines ..
EXTERNAL CGEES, CHST01, CLACPY, CLATME, CLATMR, CLATMS,
$ CLASET, SLABAD, SLASUM, XERBLA
* ..
* .. Intrinsic Functions ..
INTRINSIC ABS, CMPLX, MAX, MIN, SQRT
* ..
* .. Data statements ..
DATA KTYPE / 1, 2, 3, 5*4, 4*6, 6*6, 3*9 /
DATA KMAGN / 3*1, 1, 1, 1, 2, 3, 4*1, 1, 1, 1, 1, 2,
$ 3, 1, 2, 3 /
DATA KMODE / 3*0, 4, 3, 1, 4, 4, 4, 3, 1, 5, 4, 3,
$ 1, 5, 5, 5, 4, 3, 1 /
DATA KCONDS / 3*0, 5*0, 4*1, 6*2, 3*0 /
* ..
* .. Executable Statements ..
*
PATH( 1: 1 ) = 'Complex precision'
PATH( 2: 3 ) = 'ES'
*
* Check for errors
*
NTESTT = 0
NTESTF = 0
INFO = 0
SELOPT = 0
*
* Important constants
*
BADNN = .FALSE.
NMAX = 0
DO 10 J = 1, NSIZES
NMAX = MAX( NMAX, NN( J ) )
IF( NN( J ).LT.0 )
$ BADNN = .TRUE.
10 CONTINUE
*
* Check for errors
*
IF( NSIZES.LT.0 ) THEN
INFO = -1
ELSE IF( BADNN ) THEN
INFO = -2
ELSE IF( NTYPES.LT.0 ) THEN
INFO = -3
ELSE IF( THRESH.LT.ZERO ) THEN
INFO = -6
ELSE IF( NOUNIT.LE.0 ) THEN
INFO = -7
ELSE IF( LDA.LT.1 .OR. LDA.LT.NMAX ) THEN
INFO = -9
ELSE IF( LDVS.LT.1 .OR. LDVS.LT.NMAX ) THEN
INFO = -15
ELSE IF( 5*NMAX+2*NMAX**2.GT.NWORK ) THEN
INFO = -18
END IF
*
IF( INFO.NE.0 ) THEN
CALL XERBLA( 'CDRVES', -INFO )
RETURN
END IF
*
* Quick return if nothing to do
*
IF( NSIZES.EQ.0 .OR. NTYPES.EQ.0 )
$ RETURN
*
* More Important constants
*
UNFL = SLAMCH( 'Safe minimum' )
OVFL = ONE / UNFL
CALL SLABAD( UNFL, OVFL )
ULP = SLAMCH( 'Precision' )
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