cdrves.f3
Usage
Functions/Subroutines
CDRVES
Function/Subroutine Documentation
subroutine cdrves (integer nsizes, integer, dimension( * ) nn, integer ntypes, logical, dimension( * ) dotype, integer, dimension( 4 ) iseed, real thresh, integer nounit, complex, dimension( lda, * ) a, integer lda, complex, dimension( lda, * ) h, complex, dimension( lda, * ) ht, complex, dimension( * ) w, complex, dimension( * ) wt, complex, dimension( ldvs, * ) vs, integer ldvs, real, dimension( 13 ) result, complex, dimension( * ) work, integer nwork, real, dimension( * ) rwork, integer, dimension( * ) iwork, logical, dimension( * ) bwork, integer info)
CDRVES
Purpose:
!> !> CDRVES checks the nonsymmetric eigenvalue (Schur form) problem !> driver CGEES. !> !> When CDRVES is called, a number of matrix () and a !> number of matrix are specified. For each size () !> 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 are specified by an array NN(1:NSIZES); the value of !> each element NN(j) specifies one size. !> The are specified by a logical array DOTYPE( 1:NTYPES ); !> if DOTYPE(j) is .TRUE., then matrix type 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 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 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 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 !>
Parameters
NSIZES
!> NSIZES is INTEGER !> The number of sizes of matrices to use. If it is zero, !> CDRVES does nothing. It must be at least zero. !>
NN
!> NN is 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
!> NTYPES is 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
!> DOTYPE is 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
!> ISEED is 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
!> THRESH is REAL
!> A test will count as if the , 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
!> NOUNIT is INTEGER !> The FORTRAN unit number for printing out error messages !> (e.g., if a routine returns INFO not equal to 0.) !>
A
!> A is 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
!> LDA is INTEGER !> The leading dimension of A, and H. LDA must be at !> least 1 and at least max( NN ). !>
H
!> H is COMPLEX array, dimension (LDA, max(NN)) !> Another copy of the test matrix A, modified by CGEES. !>
HT
!> HT is COMPLEX array, dimension (LDA, max(NN)) !> Yet another copy of the test matrix A, modified by CGEES. !>
W
!> W is COMPLEX array, dimension (max(NN)) !> The computed eigenvalues of A. !>
WT
!> WT is 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
!> VS is COMPLEX array, dimension (LDVS, max(NN)) !> VS holds the computed Schur vectors. !>
LDVS
!> LDVS is INTEGER !> Leading dimension of VS. Must be at least max(1,max(NN)). !>
RESULT
!> RESULT is 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
!> WORK is COMPLEX array, dimension (NWORK) !>
NWORK
!> NWORK is INTEGER !> The number of entries in WORK. This must be at least !> 5*NN(j)+2*NN(j)**2 for all j. !>
RWORK
!> RWORK is REAL array, dimension (max(NN)) !>
IWORK
!> IWORK is INTEGER array, dimension (max(NN)) !>
BWORK
!> BWORK is LOGICAL array, dimension (max(NN)) !>
INFO
!> INFO is 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 .
!> KMODE(j) The MODE value to be passed to the matrix
!> generator for type .
!> 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.)
!>
Author
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Definition at line 375 of file cdrves.f.