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LAPACK 3.12.0
LAPACK: Linear Algebra PACKage
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LAPACK 3.12.0
LAPACK: Linear Algebra PACKage
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| subroutine zdrvsg | ( | integer | nsizes, |
| integer, dimension( * ) | nn, | ||
| integer | ntypes, | ||
| logical, dimension( * ) | dotype, | ||
| integer, dimension( 4 ) | iseed, | ||
| double precision | thresh, | ||
| integer | nounit, | ||
| complex*16, dimension( lda, * ) | a, | ||
| integer | lda, | ||
| complex*16, dimension( ldb, * ) | b, | ||
| integer | ldb, | ||
| double precision, dimension( * ) | d, | ||
| complex*16, dimension( ldz, * ) | z, | ||
| integer | ldz, | ||
| complex*16, dimension( lda, * ) | ab, | ||
| complex*16, dimension( ldb, * ) | bb, | ||
| complex*16, dimension( * ) | ap, | ||
| complex*16, dimension( * ) | bp, | ||
| complex*16, dimension( * ) | work, | ||
| integer | nwork, | ||
| double precision, dimension( * ) | rwork, | ||
| integer | lrwork, | ||
| integer, dimension( * ) | iwork, | ||
| integer | liwork, | ||
| double precision, dimension( * ) | result, | ||
| integer | info | ||
| ) |
ZDRVSG
ZDRVSG checks the complex Hermitian generalized eigenproblem
drivers.
ZHEGV computes all eigenvalues and, optionally,
eigenvectors of a complex Hermitian-definite generalized
eigenproblem.
ZHEGVD computes all eigenvalues and, optionally,
eigenvectors of a complex Hermitian-definite generalized
eigenproblem using a divide and conquer algorithm.
ZHEGVX computes selected eigenvalues and, optionally,
eigenvectors of a complex Hermitian-definite generalized
eigenproblem.
ZHPGV computes all eigenvalues and, optionally,
eigenvectors of a complex Hermitian-definite generalized
eigenproblem in packed storage.
ZHPGVD computes all eigenvalues and, optionally,
eigenvectors of a complex Hermitian-definite generalized
eigenproblem in packed storage using a divide and
conquer algorithm.
ZHPGVX computes selected eigenvalues and, optionally,
eigenvectors of a complex Hermitian-definite generalized
eigenproblem in packed storage.
ZHBGV computes all eigenvalues and, optionally,
eigenvectors of a complex Hermitian-definite banded
generalized eigenproblem.
ZHBGVD computes all eigenvalues and, optionally,
eigenvectors of a complex Hermitian-definite banded
generalized eigenproblem using a divide and conquer
algorithm.
ZHBGVX computes selected eigenvalues and, optionally,
eigenvectors of a complex Hermitian-definite banded
generalized eigenproblem.
When ZDRVSG 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 A of the given type will be
generated; a random well-conditioned matrix B is also generated
and the pair (A,B) is used to test the drivers.
For each pair (A,B), the following tests are performed:
(1) ZHEGV with ITYPE = 1 and UPLO ='U':
| A Z - B Z D | / ( |A| |Z| n ulp )
(2) as (1) but calling ZHPGV
(3) as (1) but calling ZHBGV
(4) as (1) but with UPLO = 'L'
(5) as (4) but calling ZHPGV
(6) as (4) but calling ZHBGV
(7) ZHEGV with ITYPE = 2 and UPLO ='U':
| A B Z - Z D | / ( |A| |Z| n ulp )
(8) as (7) but calling ZHPGV
(9) as (7) but with UPLO = 'L'
(10) as (9) but calling ZHPGV
(11) ZHEGV with ITYPE = 3 and UPLO ='U':
| B A Z - Z D | / ( |A| |Z| n ulp )
(12) as (11) but calling ZHPGV
(13) as (11) but with UPLO = 'L'
(14) as (13) but calling ZHPGV
ZHEGVD, ZHPGVD and ZHBGVD performed the same 14 tests.
ZHEGVX, ZHPGVX and ZHBGVX performed the above 14 tests with
the parameter RANGE = 'A', 'N' and 'I', respectively.
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.
This type is used for the matrix A which has half-bandwidth KA.
B is generated as a well-conditioned positive definite matrix
with half-bandwidth KB (<= KA).
Currently, the list of possible types for A is:
(1) The zero matrix.
(2) The identity matrix.
(3) A diagonal matrix with evenly spaced entries
1, ..., ULP and random signs.
(ULP = (first number larger than 1) - 1 )
(4) A diagonal matrix with geometrically spaced entries
1, ..., ULP and random signs.
(5) A diagonal matrix with "clustered" entries 1, ULP, ..., ULP
and random signs.
(6) Same as (4), but multiplied by SQRT( overflow threshold )
(7) Same as (4), but multiplied by SQRT( underflow threshold )
(8) A matrix of the form U* D U, where U is unitary and
D has evenly spaced entries 1, ..., ULP with random signs
on the diagonal.
(9) A matrix of the form U* D U, where U is unitary and
D has geometrically spaced entries 1, ..., ULP with random
signs on the diagonal.
(10) A matrix of the form U* D U, where U is unitary and
D has "clustered" entries 1, ULP,..., ULP with random
signs on the diagonal.
(11) Same as (8), but multiplied by SQRT( overflow threshold )
(12) Same as (8), but multiplied by SQRT( underflow threshold )
(13) Hermitian matrix with random entries chosen from (-1,1).
(14) Same as (13), but multiplied by SQRT( overflow threshold )
(15) Same as (13), but multiplied by SQRT( underflow threshold )
(16) Same as (8), but with KA = 1 and KB = 1
(17) Same as (8), but with KA = 2 and KB = 1
(18) Same as (8), but with KA = 2 and KB = 2
(19) Same as (8), but with KA = 3 and KB = 1
(20) Same as (8), but with KA = 3 and KB = 2
(21) Same as (8), but with KA = 3 and KB = 3 NSIZES INTEGER
The number of sizes of matrices to use. If it is zero,
ZDRVSG does nothing. It must be at least zero.
Not modified.
NN 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.
Not modified.
NTYPES INTEGER
The number of elements in DOTYPE. If it is zero, ZDRVSG
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. .
Not modified.
DOTYPE 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.
Not modified.
ISEED 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 ZDRVSG to continue the same random number
sequence.
Modified.
THRESH DOUBLE PRECISION
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.
Not modified.
NOUNIT INTEGER
The FORTRAN unit number for printing out error messages
(e.g., if a routine returns IINFO not equal to 0.)
Not modified.
A COMPLEX*16 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.
Modified.
LDA INTEGER
The leading dimension of A. It must be at
least 1 and at least max( NN ).
Not modified.
B COMPLEX*16 array, dimension (LDB , max(NN))
Used to hold the Hermitian positive definite matrix for
the generalized problem.
On exit, B contains the last matrix actually
used.
Modified.
LDB INTEGER
The leading dimension of B. It must be at
least 1 and at least max( NN ).
Not modified.
D DOUBLE PRECISION array, dimension (max(NN))
The eigenvalues of A. On exit, the eigenvalues in D
correspond with the matrix in A.
Modified.
Z COMPLEX*16 array, dimension (LDZ, max(NN))
The matrix of eigenvectors.
Modified.
LDZ INTEGER
The leading dimension of ZZ. It must be at least 1 and
at least max( NN ).
Not modified.
AB COMPLEX*16 array, dimension (LDA, max(NN))
Workspace.
Modified.
BB COMPLEX*16 array, dimension (LDB, max(NN))
Workspace.
Modified.
AP COMPLEX*16 array, dimension (max(NN)**2)
Workspace.
Modified.
BP COMPLEX*16 array, dimension (max(NN)**2)
Workspace.
Modified.
WORK COMPLEX*16 array, dimension (NWORK)
Workspace.
Modified.
NWORK INTEGER
The number of entries in WORK. This must be at least
2*N + N**2 where N = max( NN(j), 2 ).
Not modified.
RWORK DOUBLE PRECISION array, dimension (LRWORK)
Workspace.
Modified.
LRWORK INTEGER
The number of entries in RWORK. This must be at least
max( 7*N, 1 + 4*N + 2*N*lg(N) + 3*N**2 ) where
N = max( NN(j) ) and lg( N ) = smallest integer k such
that 2**k >= N .
Not modified.
IWORK INTEGER array, dimension (LIWORK))
Workspace.
Modified.
LIWORK INTEGER
The number of entries in IWORK. This must be at least
2 + 5*max( NN(j) ).
Not modified.
RESULT DOUBLE PRECISION array, dimension (70)
The values computed by the 70 tests described above.
Modified.
INFO INTEGER
If 0, then everything ran OK.
-1: NSIZES < 0
-2: Some NN(j) < 0
-3: NTYPES < 0
-5: THRESH < 0
-9: LDA < 1 or LDA < NMAX, where NMAX is max( NN(j) ).
-16: LDZ < 1 or LDZ < NMAX.
-21: NWORK too small.
-23: LRWORK too small.
-25: LIWORK too small.
If ZLATMR, CLATMS, ZHEGV, ZHPGV, ZHBGV, CHEGVD, CHPGVD,
ZHPGVD, ZHEGVX, CHPGVX, ZHBGVX returns an error code,
the absolute value of it is returned.
Modified.
-----------------------------------------------------------------------
Some Local Variables and Parameters:
---- ----- --------- --- ----------
ZERO, ONE Real 0 and 1.
MAXTYP The number of types defined.
NTEST The number of tests that have been run
on this matrix.
NTESTT The total number of tests for this call.
NMAX Largest value in NN.
NMATS The number of matrices generated so far.
NERRS The number of tests which have exceeded THRESH
so far (computed by DLAFTS).
COND, 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.
RTOVFL, RTUNFL Square roots of the previous 2 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) ) Definition at line 366 of file zdrvsg.f.
1.9.7