1308 lines
46 KiB
Fortran
1308 lines
46 KiB
Fortran
*> \brief \b DDRVSG
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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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* Definition:
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* ===========
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*
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* SUBROUTINE DDRVSG( NSIZES, NN, NTYPES, DOTYPE, ISEED, THRESH,
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* NOUNIT, A, LDA, B, LDB, D, Z, LDZ, AB, BB, AP,
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* BP, WORK, NWORK, IWORK, LIWORK, RESULT, INFO )
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*
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* .. Scalar Arguments ..
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* INTEGER INFO, LDA, LDB, LDZ, LIWORK, NOUNIT, NSIZES,
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* $ NTYPES, NWORK
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* DOUBLE PRECISION THRESH
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* ..
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* .. Array Arguments ..
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* LOGICAL DOTYPE( * )
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* INTEGER ISEED( 4 ), IWORK( * ), NN( * )
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* DOUBLE PRECISION A( LDA, * ), AB( LDA, * ), AP( * ),
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* $ B( LDB, * ), BB( LDB, * ), BP( * ), D( * ),
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* $ RESULT( * ), WORK( * ), Z( LDZ, * )
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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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*> DDRVSG checks the real symmetric generalized eigenproblem
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*> drivers.
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*>
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*> DSYGV computes all eigenvalues and, optionally,
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*> eigenvectors of a real symmetric-definite generalized
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*> eigenproblem.
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*>
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*> DSYGVD computes all eigenvalues and, optionally,
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*> eigenvectors of a real symmetric-definite generalized
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*> eigenproblem using a divide and conquer algorithm.
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*>
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*> DSYGVX computes selected eigenvalues and, optionally,
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*> eigenvectors of a real symmetric-definite generalized
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*> eigenproblem.
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*>
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*> DSPGV computes all eigenvalues and, optionally,
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*> eigenvectors of a real symmetric-definite generalized
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*> eigenproblem in packed storage.
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*>
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*> DSPGVD computes all eigenvalues and, optionally,
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*> eigenvectors of a real symmetric-definite generalized
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*> eigenproblem in packed storage using a divide and
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*> conquer algorithm.
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*>
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*> DSPGVX computes selected eigenvalues and, optionally,
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*> eigenvectors of a real symmetric-definite generalized
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*> eigenproblem in packed storage.
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*>
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*> DSBGV computes all eigenvalues and, optionally,
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*> eigenvectors of a real symmetric-definite banded
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*> generalized eigenproblem.
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*>
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*> DSBGVD computes all eigenvalues and, optionally,
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*> eigenvectors of a real symmetric-definite banded
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*> generalized eigenproblem using a divide and conquer
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*> algorithm.
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*>
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*> DSBGVX computes selected eigenvalues and, optionally,
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*> eigenvectors of a real symmetric-definite banded
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*> generalized eigenproblem.
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*>
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*> When DDRVSG is called, a number of matrix "sizes" ("n's") and a
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*> number of matrix "types" are specified. For each size ("n")
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*> and each type of matrix, one matrix A of the given type will be
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*> generated; a random well-conditioned matrix B is also generated
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*> and the pair (A,B) is used to test the drivers.
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*>
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*> For each pair (A,B), the following tests are performed:
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*>
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*> (1) DSYGV with ITYPE = 1 and UPLO ='U':
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*>
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*> | A Z - B Z D | / ( |A| |Z| n ulp )
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*>
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*> (2) as (1) but calling DSPGV
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*> (3) as (1) but calling DSBGV
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*> (4) as (1) but with UPLO = 'L'
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*> (5) as (4) but calling DSPGV
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*> (6) as (4) but calling DSBGV
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*>
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*> (7) DSYGV with ITYPE = 2 and UPLO ='U':
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*>
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*> | A B Z - Z D | / ( |A| |Z| n ulp )
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*>
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*> (8) as (7) but calling DSPGV
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*> (9) as (7) but with UPLO = 'L'
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*> (10) as (9) but calling DSPGV
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*>
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*> (11) DSYGV with ITYPE = 3 and UPLO ='U':
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*>
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*> | B A Z - Z D | / ( |A| |Z| n ulp )
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*>
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*> (12) as (11) but calling DSPGV
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*> (13) as (11) but with UPLO = 'L'
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*> (14) as (13) but calling DSPGV
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*>
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*> DSYGVD, DSPGVD and DSBGVD performed the same 14 tests.
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*>
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*> DSYGVX, DSPGVX and DSBGVX performed the above 14 tests with
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*> the parameter RANGE = 'A', 'N' and 'I', respectively.
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*>
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*> The "sizes" are specified by an array NN(1:NSIZES); the value
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*> of each element NN(j) specifies one size.
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*> The "types" are specified by a logical array DOTYPE( 1:NTYPES );
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*> if DOTYPE(j) is .TRUE., then matrix type "j" will be generated.
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*> This type is used for the matrix A which has half-bandwidth KA.
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*> B is generated as a well-conditioned positive definite matrix
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*> with half-bandwidth KB (<= KA).
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*> Currently, the list of possible types for A is:
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*>
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*> (1) The zero matrix.
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*> (2) The identity matrix.
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*>
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*> (3) A diagonal matrix with evenly spaced entries
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*> 1, ..., ULP and random signs.
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*> (ULP = (first number larger than 1) - 1 )
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*> (4) A diagonal matrix with geometrically spaced entries
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*> 1, ..., ULP and random signs.
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*> (5) A diagonal matrix with "clustered" entries
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*> 1, ULP, ..., ULP and random signs.
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*>
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*> (6) Same as (4), but multiplied by SQRT( overflow threshold )
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*> (7) Same as (4), but multiplied by SQRT( underflow threshold )
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*>
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*> (8) A matrix of the form U* D U, where U is orthogonal and
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*> D has evenly spaced entries 1, ..., ULP with random signs
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*> on the diagonal.
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*>
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*> (9) A matrix of the form U* D U, where U is orthogonal and
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*> D has geometrically spaced entries 1, ..., ULP with random
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*> signs on the diagonal.
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*>
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*> (10) A matrix of the form U* D U, where U is orthogonal and
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*> D has "clustered" entries 1, ULP,..., ULP with random
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*> signs on the diagonal.
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*>
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*> (11) Same as (8), but multiplied by SQRT( overflow threshold )
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*> (12) Same as (8), but multiplied by SQRT( underflow threshold )
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*>
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*> (13) symmetric matrix with random entries chosen from (-1,1).
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*> (14) Same as (13), but multiplied by SQRT( overflow threshold )
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*> (15) Same as (13), but multiplied by SQRT( underflow threshold)
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*>
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*> (16) Same as (8), but with KA = 1 and KB = 1
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*> (17) Same as (8), but with KA = 2 and KB = 1
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*> (18) Same as (8), but with KA = 2 and KB = 2
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*> (19) Same as (8), but with KA = 3 and KB = 1
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*> (20) Same as (8), but with KA = 3 and KB = 2
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*> (21) Same as (8), but with KA = 3 and KB = 3
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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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*> \verbatim
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*> NSIZES INTEGER
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*> The number of sizes of matrices to use. If it is zero,
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*> DDRVSG does nothing. It must be at least zero.
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*> Not modified.
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*>
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*> NN INTEGER array, dimension (NSIZES)
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*> An array containing the sizes to be used for the matrices.
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*> Zero values will be skipped. The values must be at least
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*> zero.
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*> Not modified.
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*>
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*> NTYPES INTEGER
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*> The number of elements in DOTYPE. If it is zero, DDRVSG
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*> does nothing. It must be at least zero. If it is MAXTYP+1
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*> and NSIZES is 1, then an additional type, MAXTYP+1 is
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*> defined, which is to use whatever matrix is in A. This
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*> is only useful if DOTYPE(1:MAXTYP) is .FALSE. and
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*> DOTYPE(MAXTYP+1) is .TRUE. .
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*> Not modified.
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*>
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*> DOTYPE LOGICAL array, dimension (NTYPES)
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*> If DOTYPE(j) is .TRUE., then for each size in NN a
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*> matrix of that size and of type j will be generated.
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*> If NTYPES is smaller than the maximum number of types
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*> defined (PARAMETER MAXTYP), then types NTYPES+1 through
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*> MAXTYP will not be generated. If NTYPES is larger
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*> than MAXTYP, DOTYPE(MAXTYP+1) through DOTYPE(NTYPES)
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*> will be ignored.
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*> Not modified.
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*>
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*> ISEED INTEGER array, dimension (4)
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*> On entry ISEED specifies the seed of the random number
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*> generator. The array elements should be between 0 and 4095;
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*> if not they will be reduced mod 4096. Also, ISEED(4) must
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*> be odd. The random number generator uses a linear
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*> congruential sequence limited to small integers, and so
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*> should produce machine independent random numbers. The
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*> values of ISEED are changed on exit, and can be used in the
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*> next call to DDRVSG to continue the same random number
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*> sequence.
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*> Modified.
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*>
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*> THRESH DOUBLE PRECISION
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*> A test will count as "failed" if the "error", computed as
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*> described above, exceeds THRESH. Note that the error
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*> is scaled to be O(1), so THRESH should be a reasonably
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*> small multiple of 1, e.g., 10 or 100. In particular,
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*> it should not depend on the precision (single vs. double)
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*> or the size of the matrix. It must be at least zero.
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*> Not modified.
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*>
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*> NOUNIT INTEGER
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*> The FORTRAN unit number for printing out error messages
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*> (e.g., if a routine returns IINFO not equal to 0.)
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*> Not modified.
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*>
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*> A DOUBLE PRECISION array, dimension (LDA , max(NN))
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*> Used to hold the matrix whose eigenvalues are to be
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*> computed. On exit, A contains the last matrix actually
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*> used.
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*> Modified.
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*>
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*> LDA INTEGER
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*> The leading dimension of A and AB. It must be at
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*> least 1 and at least max( NN ).
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*> Not modified.
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*>
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*> B DOUBLE PRECISION array, dimension (LDB , max(NN))
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*> Used to hold the symmetric positive definite matrix for
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*> the generailzed problem.
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*> On exit, B contains the last matrix actually
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*> used.
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*> Modified.
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*>
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*> LDB INTEGER
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*> The leading dimension of B and BB. It must be at
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*> least 1 and at least max( NN ).
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*> Not modified.
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*>
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*> D DOUBLE PRECISION array, dimension (max(NN))
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*> The eigenvalues of A. On exit, the eigenvalues in D
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*> correspond with the matrix in A.
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*> Modified.
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*>
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*> Z DOUBLE PRECISION array, dimension (LDZ, max(NN))
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*> The matrix of eigenvectors.
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*> Modified.
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*>
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*> LDZ INTEGER
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*> The leading dimension of Z. It must be at least 1 and
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*> at least max( NN ).
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*> Not modified.
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*>
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*> AB DOUBLE PRECISION array, dimension (LDA, max(NN))
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*> Workspace.
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*> Modified.
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*>
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*> BB DOUBLE PRECISION array, dimension (LDB, max(NN))
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*> Workspace.
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*> Modified.
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*>
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*> AP DOUBLE PRECISION array, dimension (max(NN)**2)
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*> Workspace.
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*> Modified.
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*>
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*> BP DOUBLE PRECISION array, dimension (max(NN)**2)
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*> Workspace.
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*> Modified.
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*>
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*> WORK DOUBLE PRECISION array, dimension (NWORK)
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*> Workspace.
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*> Modified.
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*>
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*> NWORK INTEGER
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*> The number of entries in WORK. This must be at least
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*> 1+5*N+2*N*lg(N)+3*N**2 where N = max( NN(j) ) and
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*> lg( N ) = smallest integer k such that 2**k >= N.
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*> Not modified.
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*>
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*> IWORK INTEGER array, dimension (LIWORK)
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*> Workspace.
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*> Modified.
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*>
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*> LIWORK INTEGER
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*> The number of entries in WORK. This must be at least 6*N.
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*> Not modified.
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*>
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*> RESULT DOUBLE PRECISION array, dimension (70)
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*> The values computed by the 70 tests described above.
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*> Modified.
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*>
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*> INFO INTEGER
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*> If 0, then everything ran OK.
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*> -1: NSIZES < 0
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*> -2: Some NN(j) < 0
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*> -3: NTYPES < 0
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*> -5: THRESH < 0
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*> -9: LDA < 1 or LDA < NMAX, where NMAX is max( NN(j) ).
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*> -16: LDZ < 1 or LDZ < NMAX.
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*> -21: NWORK too small.
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*> -23: LIWORK too small.
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*> If DLATMR, SLATMS, DSYGV, DSPGV, DSBGV, SSYGVD, SSPGVD,
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*> DSBGVD, DSYGVX, DSPGVX or SSBGVX returns an error code,
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*> the absolute value of it is returned.
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*> Modified.
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*>
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*> ----------------------------------------------------------------------
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*>
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*> Some Local Variables and Parameters:
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*> ---- ----- --------- --- ----------
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*> ZERO, ONE Real 0 and 1.
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*> MAXTYP The number of types defined.
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*> NTEST The number of tests that have been run
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*> on this matrix.
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*> NTESTT The total number of tests for this call.
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*> NMAX Largest value in NN.
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*> NMATS The number of matrices generated so far.
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*> NERRS The number of tests which have exceeded THRESH
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*> so far (computed by DLAFTS).
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*> COND, IMODE Values to be passed to the matrix generators.
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*> ANORM Norm of A; passed to matrix generators.
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*>
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*> OVFL, UNFL Overflow and underflow thresholds.
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*> ULP, ULPINV Finest relative precision and its inverse.
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*> RTOVFL, RTUNFL Square roots of the previous 2 values.
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*> The following four arrays decode JTYPE:
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*> KTYPE(j) The general type (1-10) for type "j".
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*> KMODE(j) The MODE value to be passed to the matrix
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*> generator for type "j".
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*> KMAGN(j) The order of magnitude ( O(1),
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*> O(overflow^(1/2) ), O(underflow^(1/2) )
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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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*> \ingroup double_eig
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*
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* =====================================================================
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SUBROUTINE DDRVSG( NSIZES, NN, NTYPES, DOTYPE, ISEED, THRESH,
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$ NOUNIT, A, LDA, B, LDB, D, Z, LDZ, AB, BB, AP,
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$ BP, WORK, NWORK, IWORK, LIWORK, RESULT, INFO )
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*
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* -- LAPACK test routine --
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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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*
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* .. Scalar Arguments ..
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INTEGER INFO, LDA, LDB, LDZ, LIWORK, NOUNIT, NSIZES,
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$ NTYPES, NWORK
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DOUBLE PRECISION THRESH
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* ..
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* .. Array Arguments ..
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LOGICAL DOTYPE( * )
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INTEGER ISEED( 4 ), IWORK( * ), NN( * )
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DOUBLE PRECISION A( LDA, * ), AB( LDA, * ), AP( * ),
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$ B( LDB, * ), BB( LDB, * ), BP( * ), D( * ),
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$ RESULT( * ), WORK( * ), Z( LDZ, * )
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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, ONE, TEN
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PARAMETER ( ZERO = 0.0D0, ONE = 1.0D0, TEN = 10.0D0 )
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INTEGER MAXTYP
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PARAMETER ( MAXTYP = 21 )
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* ..
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* .. Local Scalars ..
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LOGICAL BADNN
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CHARACTER UPLO
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INTEGER I, IBTYPE, IBUPLO, IINFO, IJ, IL, IMODE, ITEMP,
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$ ITYPE, IU, J, JCOL, JSIZE, JTYPE, KA, KA9, KB,
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$ KB9, M, MTYPES, N, NERRS, NMATS, NMAX, NTEST,
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$ NTESTT
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DOUBLE PRECISION ABSTOL, ANINV, ANORM, COND, OVFL, RTOVFL,
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$ RTUNFL, ULP, ULPINV, UNFL, VL, VU
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* ..
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* .. Local Arrays ..
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INTEGER IDUMMA( 1 ), IOLDSD( 4 ), ISEED2( 4 ),
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$ KMAGN( MAXTYP ), KMODE( MAXTYP ),
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$ KTYPE( MAXTYP )
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* ..
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* .. External Functions ..
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LOGICAL LSAME
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DOUBLE PRECISION DLAMCH, DLARND
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EXTERNAL LSAME, DLAMCH, DLARND
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* ..
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* .. External Subroutines ..
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EXTERNAL DLABAD, DLACPY, DLAFTS, DLASET, DLASUM, DLATMR,
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$ DLATMS, DSBGV, DSBGVD, DSBGVX, DSGT01, DSPGV,
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$ DSPGVD, DSPGVX, DSYGV, DSYGVD, DSYGVX, XERBLA
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* ..
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* .. Intrinsic Functions ..
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INTRINSIC ABS, DBLE, MAX, MIN, SQRT
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* ..
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* .. Data statements ..
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DATA KTYPE / 1, 2, 5*4, 5*5, 3*8, 6*9 /
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DATA KMAGN / 2*1, 1, 1, 1, 2, 3, 1, 1, 1, 2, 3, 1,
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$ 2, 3, 6*1 /
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DATA KMODE / 2*0, 4, 3, 1, 4, 4, 4, 3, 1, 4, 4, 0,
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$ 0, 0, 6*4 /
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* ..
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* .. Executable Statements ..
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*
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* 1) Check for errors
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*
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NTESTT = 0
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INFO = 0
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*
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BADNN = .FALSE.
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NMAX = 0
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DO 10 J = 1, NSIZES
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NMAX = MAX( NMAX, NN( J ) )
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IF( NN( J ).LT.0 )
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$ BADNN = .TRUE.
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10 CONTINUE
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*
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* Check for errors
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*
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IF( NSIZES.LT.0 ) THEN
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INFO = -1
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ELSE IF( BADNN ) THEN
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INFO = -2
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ELSE IF( NTYPES.LT.0 ) THEN
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INFO = -3
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ELSE IF( LDA.LE.1 .OR. LDA.LT.NMAX ) THEN
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INFO = -9
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ELSE IF( LDZ.LE.1 .OR. LDZ.LT.NMAX ) THEN
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INFO = -16
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ELSE IF( 2*MAX( NMAX, 3 )**2.GT.NWORK ) THEN
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INFO = -21
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ELSE IF( 2*MAX( NMAX, 3 )**2.GT.LIWORK ) THEN
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INFO = -23
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END IF
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*
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IF( INFO.NE.0 ) THEN
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CALL XERBLA( 'DDRVSG', -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( NSIZES.EQ.0 .OR. NTYPES.EQ.0 )
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$ RETURN
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*
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* More Important constants
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*
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UNFL = DLAMCH( 'Safe minimum' )
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OVFL = DLAMCH( 'Overflow' )
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CALL DLABAD( UNFL, OVFL )
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ULP = DLAMCH( 'Epsilon' )*DLAMCH( 'Base' )
|
|
ULPINV = ONE / ULP
|
|
RTUNFL = SQRT( UNFL )
|
|
RTOVFL = SQRT( OVFL )
|
|
*
|
|
DO 20 I = 1, 4
|
|
ISEED2( I ) = ISEED( I )
|
|
20 CONTINUE
|
|
*
|
|
* Loop over sizes, types
|
|
*
|
|
NERRS = 0
|
|
NMATS = 0
|
|
*
|
|
DO 650 JSIZE = 1, NSIZES
|
|
N = NN( JSIZE )
|
|
ANINV = ONE / DBLE( MAX( 1, N ) )
|
|
*
|
|
IF( NSIZES.NE.1 ) THEN
|
|
MTYPES = MIN( MAXTYP, NTYPES )
|
|
ELSE
|
|
MTYPES = MIN( MAXTYP+1, NTYPES )
|
|
END IF
|
|
*
|
|
KA9 = 0
|
|
KB9 = 0
|
|
DO 640 JTYPE = 1, MTYPES
|
|
IF( .NOT.DOTYPE( JTYPE ) )
|
|
$ GO TO 640
|
|
NMATS = NMATS + 1
|
|
NTEST = 0
|
|
*
|
|
DO 30 J = 1, 4
|
|
IOLDSD( J ) = ISEED( J )
|
|
30 CONTINUE
|
|
*
|
|
* 2) Compute "A"
|
|
*
|
|
* Control parameters:
|
|
*
|
|
* KMAGN KMODE KTYPE
|
|
* =1 O(1) clustered 1 zero
|
|
* =2 large clustered 2 identity
|
|
* =3 small exponential (none)
|
|
* =4 arithmetic diagonal, w/ eigenvalues
|
|
* =5 random log hermitian, w/ eigenvalues
|
|
* =6 random (none)
|
|
* =7 random diagonal
|
|
* =8 random hermitian
|
|
* =9 banded, w/ eigenvalues
|
|
*
|
|
IF( MTYPES.GT.MAXTYP )
|
|
$ GO TO 90
|
|
*
|
|
ITYPE = KTYPE( JTYPE )
|
|
IMODE = KMODE( JTYPE )
|
|
*
|
|
* Compute norm
|
|
*
|
|
GO TO ( 40, 50, 60 )KMAGN( JTYPE )
|
|
*
|
|
40 CONTINUE
|
|
ANORM = ONE
|
|
GO TO 70
|
|
*
|
|
50 CONTINUE
|
|
ANORM = ( RTOVFL*ULP )*ANINV
|
|
GO TO 70
|
|
*
|
|
60 CONTINUE
|
|
ANORM = RTUNFL*N*ULPINV
|
|
GO TO 70
|
|
*
|
|
70 CONTINUE
|
|
*
|
|
IINFO = 0
|
|
COND = ULPINV
|
|
*
|
|
* Special Matrices -- Identity & Jordan block
|
|
*
|
|
IF( ITYPE.EQ.1 ) THEN
|
|
*
|
|
* Zero
|
|
*
|
|
KA = 0
|
|
KB = 0
|
|
CALL DLASET( 'Full', LDA, N, ZERO, ZERO, A, LDA )
|
|
*
|
|
ELSE IF( ITYPE.EQ.2 ) THEN
|
|
*
|
|
* Identity
|
|
*
|
|
KA = 0
|
|
KB = 0
|
|
CALL DLASET( 'Full', LDA, N, ZERO, ZERO, A, LDA )
|
|
DO 80 JCOL = 1, N
|
|
A( JCOL, JCOL ) = ANORM
|
|
80 CONTINUE
|
|
*
|
|
ELSE IF( ITYPE.EQ.4 ) THEN
|
|
*
|
|
* Diagonal Matrix, [Eigen]values Specified
|
|
*
|
|
KA = 0
|
|
KB = 0
|
|
CALL DLATMS( N, N, 'S', ISEED, 'S', WORK, IMODE, COND,
|
|
$ ANORM, 0, 0, 'N', A, LDA, WORK( N+1 ),
|
|
$ IINFO )
|
|
*
|
|
ELSE IF( ITYPE.EQ.5 ) THEN
|
|
*
|
|
* symmetric, eigenvalues specified
|
|
*
|
|
KA = MAX( 0, N-1 )
|
|
KB = KA
|
|
CALL DLATMS( N, N, 'S', ISEED, 'S', WORK, IMODE, COND,
|
|
$ ANORM, N, N, 'N', A, LDA, WORK( N+1 ),
|
|
$ IINFO )
|
|
*
|
|
ELSE IF( ITYPE.EQ.7 ) THEN
|
|
*
|
|
* Diagonal, random eigenvalues
|
|
*
|
|
KA = 0
|
|
KB = 0
|
|
CALL DLATMR( N, N, 'S', ISEED, 'S', WORK, 6, ONE, ONE,
|
|
$ 'T', 'N', WORK( N+1 ), 1, ONE,
|
|
$ WORK( 2*N+1 ), 1, ONE, 'N', IDUMMA, 0, 0,
|
|
$ ZERO, ANORM, 'NO', A, LDA, IWORK, IINFO )
|
|
*
|
|
ELSE IF( ITYPE.EQ.8 ) THEN
|
|
*
|
|
* symmetric, random eigenvalues
|
|
*
|
|
KA = MAX( 0, N-1 )
|
|
KB = KA
|
|
CALL DLATMR( N, N, 'S', ISEED, 'H', WORK, 6, ONE, ONE,
|
|
$ 'T', 'N', WORK( N+1 ), 1, ONE,
|
|
$ WORK( 2*N+1 ), 1, ONE, 'N', IDUMMA, N, N,
|
|
$ ZERO, ANORM, 'NO', A, LDA, IWORK, IINFO )
|
|
*
|
|
ELSE IF( ITYPE.EQ.9 ) THEN
|
|
*
|
|
* symmetric banded, eigenvalues specified
|
|
*
|
|
* The following values are used for the half-bandwidths:
|
|
*
|
|
* ka = 1 kb = 1
|
|
* ka = 2 kb = 1
|
|
* ka = 2 kb = 2
|
|
* ka = 3 kb = 1
|
|
* ka = 3 kb = 2
|
|
* ka = 3 kb = 3
|
|
*
|
|
KB9 = KB9 + 1
|
|
IF( KB9.GT.KA9 ) THEN
|
|
KA9 = KA9 + 1
|
|
KB9 = 1
|
|
END IF
|
|
KA = MAX( 0, MIN( N-1, KA9 ) )
|
|
KB = MAX( 0, MIN( N-1, KB9 ) )
|
|
CALL DLATMS( N, N, 'S', ISEED, 'S', WORK, IMODE, COND,
|
|
$ ANORM, KA, KA, 'N', A, LDA, WORK( N+1 ),
|
|
$ IINFO )
|
|
*
|
|
ELSE
|
|
*
|
|
IINFO = 1
|
|
END IF
|
|
*
|
|
IF( IINFO.NE.0 ) THEN
|
|
WRITE( NOUNIT, FMT = 9999 )'Generator', IINFO, N, JTYPE,
|
|
$ IOLDSD
|
|
INFO = ABS( IINFO )
|
|
RETURN
|
|
END IF
|
|
*
|
|
90 CONTINUE
|
|
*
|
|
ABSTOL = UNFL + UNFL
|
|
IF( N.LE.1 ) THEN
|
|
IL = 1
|
|
IU = N
|
|
ELSE
|
|
IL = 1 + INT( ( N-1 )*DLARND( 1, ISEED2 ) )
|
|
IU = 1 + INT( ( N-1 )*DLARND( 1, ISEED2 ) )
|
|
IF( IL.GT.IU ) THEN
|
|
ITEMP = IL
|
|
IL = IU
|
|
IU = ITEMP
|
|
END IF
|
|
END IF
|
|
*
|
|
* 3) Call DSYGV, DSPGV, DSBGV, SSYGVD, SSPGVD, SSBGVD,
|
|
* DSYGVX, DSPGVX, and DSBGVX, do tests.
|
|
*
|
|
* loop over the three generalized problems
|
|
* IBTYPE = 1: A*x = (lambda)*B*x
|
|
* IBTYPE = 2: A*B*x = (lambda)*x
|
|
* IBTYPE = 3: B*A*x = (lambda)*x
|
|
*
|
|
DO 630 IBTYPE = 1, 3
|
|
*
|
|
* loop over the setting UPLO
|
|
*
|
|
DO 620 IBUPLO = 1, 2
|
|
IF( IBUPLO.EQ.1 )
|
|
$ UPLO = 'U'
|
|
IF( IBUPLO.EQ.2 )
|
|
$ UPLO = 'L'
|
|
*
|
|
* Generate random well-conditioned positive definite
|
|
* matrix B, of bandwidth not greater than that of A.
|
|
*
|
|
CALL DLATMS( N, N, 'U', ISEED, 'P', WORK, 5, TEN, ONE,
|
|
$ KB, KB, UPLO, B, LDB, WORK( N+1 ),
|
|
$ IINFO )
|
|
*
|
|
* Test DSYGV
|
|
*
|
|
NTEST = NTEST + 1
|
|
*
|
|
CALL DLACPY( ' ', N, N, A, LDA, Z, LDZ )
|
|
CALL DLACPY( UPLO, N, N, B, LDB, BB, LDB )
|
|
*
|
|
CALL DSYGV( IBTYPE, 'V', UPLO, N, Z, LDZ, BB, LDB, D,
|
|
$ WORK, NWORK, IINFO )
|
|
IF( IINFO.NE.0 ) THEN
|
|
WRITE( NOUNIT, FMT = 9999 )'DSYGV(V,' // UPLO //
|
|
$ ')', IINFO, N, JTYPE, IOLDSD
|
|
INFO = ABS( IINFO )
|
|
IF( IINFO.LT.0 ) THEN
|
|
RETURN
|
|
ELSE
|
|
RESULT( NTEST ) = ULPINV
|
|
GO TO 100
|
|
END IF
|
|
END IF
|
|
*
|
|
* Do Test
|
|
*
|
|
CALL DSGT01( IBTYPE, UPLO, N, N, A, LDA, B, LDB, Z,
|
|
$ LDZ, D, WORK, RESULT( NTEST ) )
|
|
*
|
|
* Test DSYGVD
|
|
*
|
|
NTEST = NTEST + 1
|
|
*
|
|
CALL DLACPY( ' ', N, N, A, LDA, Z, LDZ )
|
|
CALL DLACPY( UPLO, N, N, B, LDB, BB, LDB )
|
|
*
|
|
CALL DSYGVD( IBTYPE, 'V', UPLO, N, Z, LDZ, BB, LDB, D,
|
|
$ WORK, NWORK, IWORK, LIWORK, IINFO )
|
|
IF( IINFO.NE.0 ) THEN
|
|
WRITE( NOUNIT, FMT = 9999 )'DSYGVD(V,' // UPLO //
|
|
$ ')', IINFO, N, JTYPE, IOLDSD
|
|
INFO = ABS( IINFO )
|
|
IF( IINFO.LT.0 ) THEN
|
|
RETURN
|
|
ELSE
|
|
RESULT( NTEST ) = ULPINV
|
|
GO TO 100
|
|
END IF
|
|
END IF
|
|
*
|
|
* Do Test
|
|
*
|
|
CALL DSGT01( IBTYPE, UPLO, N, N, A, LDA, B, LDB, Z,
|
|
$ LDZ, D, WORK, RESULT( NTEST ) )
|
|
*
|
|
* Test DSYGVX
|
|
*
|
|
NTEST = NTEST + 1
|
|
*
|
|
CALL DLACPY( ' ', N, N, A, LDA, AB, LDA )
|
|
CALL DLACPY( UPLO, N, N, B, LDB, BB, LDB )
|
|
*
|
|
CALL DSYGVX( IBTYPE, 'V', 'A', UPLO, N, AB, LDA, BB,
|
|
$ LDB, VL, VU, IL, IU, ABSTOL, M, D, Z,
|
|
$ LDZ, WORK, NWORK, IWORK( N+1 ), IWORK,
|
|
$ IINFO )
|
|
IF( IINFO.NE.0 ) THEN
|
|
WRITE( NOUNIT, FMT = 9999 )'DSYGVX(V,A' // UPLO //
|
|
$ ')', IINFO, N, JTYPE, IOLDSD
|
|
INFO = ABS( IINFO )
|
|
IF( IINFO.LT.0 ) THEN
|
|
RETURN
|
|
ELSE
|
|
RESULT( NTEST ) = ULPINV
|
|
GO TO 100
|
|
END IF
|
|
END IF
|
|
*
|
|
* Do Test
|
|
*
|
|
CALL DSGT01( IBTYPE, UPLO, N, N, A, LDA, B, LDB, Z,
|
|
$ LDZ, D, WORK, RESULT( NTEST ) )
|
|
*
|
|
NTEST = NTEST + 1
|
|
*
|
|
CALL DLACPY( ' ', N, N, A, LDA, AB, LDA )
|
|
CALL DLACPY( UPLO, N, N, B, LDB, BB, LDB )
|
|
*
|
|
* since we do not know the exact eigenvalues of this
|
|
* eigenpair, we just set VL and VU as constants.
|
|
* It is quite possible that there are no eigenvalues
|
|
* in this interval.
|
|
*
|
|
VL = ZERO
|
|
VU = ANORM
|
|
CALL DSYGVX( IBTYPE, 'V', 'V', UPLO, N, AB, LDA, BB,
|
|
$ LDB, VL, VU, IL, IU, ABSTOL, M, D, Z,
|
|
$ LDZ, WORK, NWORK, IWORK( N+1 ), IWORK,
|
|
$ IINFO )
|
|
IF( IINFO.NE.0 ) THEN
|
|
WRITE( NOUNIT, FMT = 9999 )'DSYGVX(V,V,' //
|
|
$ UPLO // ')', IINFO, N, JTYPE, IOLDSD
|
|
INFO = ABS( IINFO )
|
|
IF( IINFO.LT.0 ) THEN
|
|
RETURN
|
|
ELSE
|
|
RESULT( NTEST ) = ULPINV
|
|
GO TO 100
|
|
END IF
|
|
END IF
|
|
*
|
|
* Do Test
|
|
*
|
|
CALL DSGT01( IBTYPE, UPLO, N, M, A, LDA, B, LDB, Z,
|
|
$ LDZ, D, WORK, RESULT( NTEST ) )
|
|
*
|
|
NTEST = NTEST + 1
|
|
*
|
|
CALL DLACPY( ' ', N, N, A, LDA, AB, LDA )
|
|
CALL DLACPY( UPLO, N, N, B, LDB, BB, LDB )
|
|
*
|
|
CALL DSYGVX( IBTYPE, 'V', 'I', UPLO, N, AB, LDA, BB,
|
|
$ LDB, VL, VU, IL, IU, ABSTOL, M, D, Z,
|
|
$ LDZ, WORK, NWORK, IWORK( N+1 ), IWORK,
|
|
$ IINFO )
|
|
IF( IINFO.NE.0 ) THEN
|
|
WRITE( NOUNIT, FMT = 9999 )'DSYGVX(V,I,' //
|
|
$ UPLO // ')', IINFO, N, JTYPE, IOLDSD
|
|
INFO = ABS( IINFO )
|
|
IF( IINFO.LT.0 ) THEN
|
|
RETURN
|
|
ELSE
|
|
RESULT( NTEST ) = ULPINV
|
|
GO TO 100
|
|
END IF
|
|
END IF
|
|
*
|
|
* Do Test
|
|
*
|
|
CALL DSGT01( IBTYPE, UPLO, N, M, A, LDA, B, LDB, Z,
|
|
$ LDZ, D, WORK, RESULT( NTEST ) )
|
|
*
|
|
100 CONTINUE
|
|
*
|
|
* Test DSPGV
|
|
*
|
|
NTEST = NTEST + 1
|
|
*
|
|
* Copy the matrices into packed storage.
|
|
*
|
|
IF( LSAME( UPLO, 'U' ) ) THEN
|
|
IJ = 1
|
|
DO 120 J = 1, N
|
|
DO 110 I = 1, J
|
|
AP( IJ ) = A( I, J )
|
|
BP( IJ ) = B( I, J )
|
|
IJ = IJ + 1
|
|
110 CONTINUE
|
|
120 CONTINUE
|
|
ELSE
|
|
IJ = 1
|
|
DO 140 J = 1, N
|
|
DO 130 I = J, N
|
|
AP( IJ ) = A( I, J )
|
|
BP( IJ ) = B( I, J )
|
|
IJ = IJ + 1
|
|
130 CONTINUE
|
|
140 CONTINUE
|
|
END IF
|
|
*
|
|
CALL DSPGV( IBTYPE, 'V', UPLO, N, AP, BP, D, Z, LDZ,
|
|
$ WORK, IINFO )
|
|
IF( IINFO.NE.0 ) THEN
|
|
WRITE( NOUNIT, FMT = 9999 )'DSPGV(V,' // UPLO //
|
|
$ ')', IINFO, N, JTYPE, IOLDSD
|
|
INFO = ABS( IINFO )
|
|
IF( IINFO.LT.0 ) THEN
|
|
RETURN
|
|
ELSE
|
|
RESULT( NTEST ) = ULPINV
|
|
GO TO 310
|
|
END IF
|
|
END IF
|
|
*
|
|
* Do Test
|
|
*
|
|
CALL DSGT01( IBTYPE, UPLO, N, N, A, LDA, B, LDB, Z,
|
|
$ LDZ, D, WORK, RESULT( NTEST ) )
|
|
*
|
|
* Test DSPGVD
|
|
*
|
|
NTEST = NTEST + 1
|
|
*
|
|
* Copy the matrices into packed storage.
|
|
*
|
|
IF( LSAME( UPLO, 'U' ) ) THEN
|
|
IJ = 1
|
|
DO 160 J = 1, N
|
|
DO 150 I = 1, J
|
|
AP( IJ ) = A( I, J )
|
|
BP( IJ ) = B( I, J )
|
|
IJ = IJ + 1
|
|
150 CONTINUE
|
|
160 CONTINUE
|
|
ELSE
|
|
IJ = 1
|
|
DO 180 J = 1, N
|
|
DO 170 I = J, N
|
|
AP( IJ ) = A( I, J )
|
|
BP( IJ ) = B( I, J )
|
|
IJ = IJ + 1
|
|
170 CONTINUE
|
|
180 CONTINUE
|
|
END IF
|
|
*
|
|
CALL DSPGVD( IBTYPE, 'V', UPLO, N, AP, BP, D, Z, LDZ,
|
|
$ WORK, NWORK, IWORK, LIWORK, IINFO )
|
|
IF( IINFO.NE.0 ) THEN
|
|
WRITE( NOUNIT, FMT = 9999 )'DSPGVD(V,' // UPLO //
|
|
$ ')', IINFO, N, JTYPE, IOLDSD
|
|
INFO = ABS( IINFO )
|
|
IF( IINFO.LT.0 ) THEN
|
|
RETURN
|
|
ELSE
|
|
RESULT( NTEST ) = ULPINV
|
|
GO TO 310
|
|
END IF
|
|
END IF
|
|
*
|
|
* Do Test
|
|
*
|
|
CALL DSGT01( IBTYPE, UPLO, N, N, A, LDA, B, LDB, Z,
|
|
$ LDZ, D, WORK, RESULT( NTEST ) )
|
|
*
|
|
* Test DSPGVX
|
|
*
|
|
NTEST = NTEST + 1
|
|
*
|
|
* Copy the matrices into packed storage.
|
|
*
|
|
IF( LSAME( UPLO, 'U' ) ) THEN
|
|
IJ = 1
|
|
DO 200 J = 1, N
|
|
DO 190 I = 1, J
|
|
AP( IJ ) = A( I, J )
|
|
BP( IJ ) = B( I, J )
|
|
IJ = IJ + 1
|
|
190 CONTINUE
|
|
200 CONTINUE
|
|
ELSE
|
|
IJ = 1
|
|
DO 220 J = 1, N
|
|
DO 210 I = J, N
|
|
AP( IJ ) = A( I, J )
|
|
BP( IJ ) = B( I, J )
|
|
IJ = IJ + 1
|
|
210 CONTINUE
|
|
220 CONTINUE
|
|
END IF
|
|
*
|
|
CALL DSPGVX( IBTYPE, 'V', 'A', UPLO, N, AP, BP, VL,
|
|
$ VU, IL, IU, ABSTOL, M, D, Z, LDZ, WORK,
|
|
$ IWORK( N+1 ), IWORK, INFO )
|
|
IF( IINFO.NE.0 ) THEN
|
|
WRITE( NOUNIT, FMT = 9999 )'DSPGVX(V,A' // UPLO //
|
|
$ ')', IINFO, N, JTYPE, IOLDSD
|
|
INFO = ABS( IINFO )
|
|
IF( IINFO.LT.0 ) THEN
|
|
RETURN
|
|
ELSE
|
|
RESULT( NTEST ) = ULPINV
|
|
GO TO 310
|
|
END IF
|
|
END IF
|
|
*
|
|
* Do Test
|
|
*
|
|
CALL DSGT01( IBTYPE, UPLO, N, M, A, LDA, B, LDB, Z,
|
|
$ LDZ, D, WORK, RESULT( NTEST ) )
|
|
*
|
|
NTEST = NTEST + 1
|
|
*
|
|
* Copy the matrices into packed storage.
|
|
*
|
|
IF( LSAME( UPLO, 'U' ) ) THEN
|
|
IJ = 1
|
|
DO 240 J = 1, N
|
|
DO 230 I = 1, J
|
|
AP( IJ ) = A( I, J )
|
|
BP( IJ ) = B( I, J )
|
|
IJ = IJ + 1
|
|
230 CONTINUE
|
|
240 CONTINUE
|
|
ELSE
|
|
IJ = 1
|
|
DO 260 J = 1, N
|
|
DO 250 I = J, N
|
|
AP( IJ ) = A( I, J )
|
|
BP( IJ ) = B( I, J )
|
|
IJ = IJ + 1
|
|
250 CONTINUE
|
|
260 CONTINUE
|
|
END IF
|
|
*
|
|
VL = ZERO
|
|
VU = ANORM
|
|
CALL DSPGVX( IBTYPE, 'V', 'V', UPLO, N, AP, BP, VL,
|
|
$ VU, IL, IU, ABSTOL, M, D, Z, LDZ, WORK,
|
|
$ IWORK( N+1 ), IWORK, INFO )
|
|
IF( IINFO.NE.0 ) THEN
|
|
WRITE( NOUNIT, FMT = 9999 )'DSPGVX(V,V' // UPLO //
|
|
$ ')', IINFO, N, JTYPE, IOLDSD
|
|
INFO = ABS( IINFO )
|
|
IF( IINFO.LT.0 ) THEN
|
|
RETURN
|
|
ELSE
|
|
RESULT( NTEST ) = ULPINV
|
|
GO TO 310
|
|
END IF
|
|
END IF
|
|
*
|
|
* Do Test
|
|
*
|
|
CALL DSGT01( IBTYPE, UPLO, N, M, A, LDA, B, LDB, Z,
|
|
$ LDZ, D, WORK, RESULT( NTEST ) )
|
|
*
|
|
NTEST = NTEST + 1
|
|
*
|
|
* Copy the matrices into packed storage.
|
|
*
|
|
IF( LSAME( UPLO, 'U' ) ) THEN
|
|
IJ = 1
|
|
DO 280 J = 1, N
|
|
DO 270 I = 1, J
|
|
AP( IJ ) = A( I, J )
|
|
BP( IJ ) = B( I, J )
|
|
IJ = IJ + 1
|
|
270 CONTINUE
|
|
280 CONTINUE
|
|
ELSE
|
|
IJ = 1
|
|
DO 300 J = 1, N
|
|
DO 290 I = J, N
|
|
AP( IJ ) = A( I, J )
|
|
BP( IJ ) = B( I, J )
|
|
IJ = IJ + 1
|
|
290 CONTINUE
|
|
300 CONTINUE
|
|
END IF
|
|
*
|
|
CALL DSPGVX( IBTYPE, 'V', 'I', UPLO, N, AP, BP, VL,
|
|
$ VU, IL, IU, ABSTOL, M, D, Z, LDZ, WORK,
|
|
$ IWORK( N+1 ), IWORK, INFO )
|
|
IF( IINFO.NE.0 ) THEN
|
|
WRITE( NOUNIT, FMT = 9999 )'DSPGVX(V,I' // UPLO //
|
|
$ ')', IINFO, N, JTYPE, IOLDSD
|
|
INFO = ABS( IINFO )
|
|
IF( IINFO.LT.0 ) THEN
|
|
RETURN
|
|
ELSE
|
|
RESULT( NTEST ) = ULPINV
|
|
GO TO 310
|
|
END IF
|
|
END IF
|
|
*
|
|
* Do Test
|
|
*
|
|
CALL DSGT01( IBTYPE, UPLO, N, M, A, LDA, B, LDB, Z,
|
|
$ LDZ, D, WORK, RESULT( NTEST ) )
|
|
*
|
|
310 CONTINUE
|
|
*
|
|
IF( IBTYPE.EQ.1 ) THEN
|
|
*
|
|
* TEST DSBGV
|
|
*
|
|
NTEST = NTEST + 1
|
|
*
|
|
* Copy the matrices into band storage.
|
|
*
|
|
IF( LSAME( UPLO, 'U' ) ) THEN
|
|
DO 340 J = 1, N
|
|
DO 320 I = MAX( 1, J-KA ), J
|
|
AB( KA+1+I-J, J ) = A( I, J )
|
|
320 CONTINUE
|
|
DO 330 I = MAX( 1, J-KB ), J
|
|
BB( KB+1+I-J, J ) = B( I, J )
|
|
330 CONTINUE
|
|
340 CONTINUE
|
|
ELSE
|
|
DO 370 J = 1, N
|
|
DO 350 I = J, MIN( N, J+KA )
|
|
AB( 1+I-J, J ) = A( I, J )
|
|
350 CONTINUE
|
|
DO 360 I = J, MIN( N, J+KB )
|
|
BB( 1+I-J, J ) = B( I, J )
|
|
360 CONTINUE
|
|
370 CONTINUE
|
|
END IF
|
|
*
|
|
CALL DSBGV( 'V', UPLO, N, KA, KB, AB, LDA, BB, LDB,
|
|
$ D, Z, LDZ, WORK, IINFO )
|
|
IF( IINFO.NE.0 ) THEN
|
|
WRITE( NOUNIT, FMT = 9999 )'DSBGV(V,' //
|
|
$ UPLO // ')', IINFO, N, JTYPE, IOLDSD
|
|
INFO = ABS( IINFO )
|
|
IF( IINFO.LT.0 ) THEN
|
|
RETURN
|
|
ELSE
|
|
RESULT( NTEST ) = ULPINV
|
|
GO TO 620
|
|
END IF
|
|
END IF
|
|
*
|
|
* Do Test
|
|
*
|
|
CALL DSGT01( IBTYPE, UPLO, N, N, A, LDA, B, LDB, Z,
|
|
$ LDZ, D, WORK, RESULT( NTEST ) )
|
|
*
|
|
* TEST DSBGVD
|
|
*
|
|
NTEST = NTEST + 1
|
|
*
|
|
* Copy the matrices into band storage.
|
|
*
|
|
IF( LSAME( UPLO, 'U' ) ) THEN
|
|
DO 400 J = 1, N
|
|
DO 380 I = MAX( 1, J-KA ), J
|
|
AB( KA+1+I-J, J ) = A( I, J )
|
|
380 CONTINUE
|
|
DO 390 I = MAX( 1, J-KB ), J
|
|
BB( KB+1+I-J, J ) = B( I, J )
|
|
390 CONTINUE
|
|
400 CONTINUE
|
|
ELSE
|
|
DO 430 J = 1, N
|
|
DO 410 I = J, MIN( N, J+KA )
|
|
AB( 1+I-J, J ) = A( I, J )
|
|
410 CONTINUE
|
|
DO 420 I = J, MIN( N, J+KB )
|
|
BB( 1+I-J, J ) = B( I, J )
|
|
420 CONTINUE
|
|
430 CONTINUE
|
|
END IF
|
|
*
|
|
CALL DSBGVD( 'V', UPLO, N, KA, KB, AB, LDA, BB,
|
|
$ LDB, D, Z, LDZ, WORK, NWORK, IWORK,
|
|
$ LIWORK, IINFO )
|
|
IF( IINFO.NE.0 ) THEN
|
|
WRITE( NOUNIT, FMT = 9999 )'DSBGVD(V,' //
|
|
$ UPLO // ')', IINFO, N, JTYPE, IOLDSD
|
|
INFO = ABS( IINFO )
|
|
IF( IINFO.LT.0 ) THEN
|
|
RETURN
|
|
ELSE
|
|
RESULT( NTEST ) = ULPINV
|
|
GO TO 620
|
|
END IF
|
|
END IF
|
|
*
|
|
* Do Test
|
|
*
|
|
CALL DSGT01( IBTYPE, UPLO, N, N, A, LDA, B, LDB, Z,
|
|
$ LDZ, D, WORK, RESULT( NTEST ) )
|
|
*
|
|
* Test DSBGVX
|
|
*
|
|
NTEST = NTEST + 1
|
|
*
|
|
* Copy the matrices into band storage.
|
|
*
|
|
IF( LSAME( UPLO, 'U' ) ) THEN
|
|
DO 460 J = 1, N
|
|
DO 440 I = MAX( 1, J-KA ), J
|
|
AB( KA+1+I-J, J ) = A( I, J )
|
|
440 CONTINUE
|
|
DO 450 I = MAX( 1, J-KB ), J
|
|
BB( KB+1+I-J, J ) = B( I, J )
|
|
450 CONTINUE
|
|
460 CONTINUE
|
|
ELSE
|
|
DO 490 J = 1, N
|
|
DO 470 I = J, MIN( N, J+KA )
|
|
AB( 1+I-J, J ) = A( I, J )
|
|
470 CONTINUE
|
|
DO 480 I = J, MIN( N, J+KB )
|
|
BB( 1+I-J, J ) = B( I, J )
|
|
480 CONTINUE
|
|
490 CONTINUE
|
|
END IF
|
|
*
|
|
CALL DSBGVX( 'V', 'A', UPLO, N, KA, KB, AB, LDA,
|
|
$ BB, LDB, BP, MAX( 1, N ), VL, VU, IL,
|
|
$ IU, ABSTOL, M, D, Z, LDZ, WORK,
|
|
$ IWORK( N+1 ), IWORK, IINFO )
|
|
IF( IINFO.NE.0 ) THEN
|
|
WRITE( NOUNIT, FMT = 9999 )'DSBGVX(V,A' //
|
|
$ UPLO // ')', IINFO, N, JTYPE, IOLDSD
|
|
INFO = ABS( IINFO )
|
|
IF( IINFO.LT.0 ) THEN
|
|
RETURN
|
|
ELSE
|
|
RESULT( NTEST ) = ULPINV
|
|
GO TO 620
|
|
END IF
|
|
END IF
|
|
*
|
|
* Do Test
|
|
*
|
|
CALL DSGT01( IBTYPE, UPLO, N, M, A, LDA, B, LDB, Z,
|
|
$ LDZ, D, WORK, RESULT( NTEST ) )
|
|
*
|
|
*
|
|
NTEST = NTEST + 1
|
|
*
|
|
* Copy the matrices into band storage.
|
|
*
|
|
IF( LSAME( UPLO, 'U' ) ) THEN
|
|
DO 520 J = 1, N
|
|
DO 500 I = MAX( 1, J-KA ), J
|
|
AB( KA+1+I-J, J ) = A( I, J )
|
|
500 CONTINUE
|
|
DO 510 I = MAX( 1, J-KB ), J
|
|
BB( KB+1+I-J, J ) = B( I, J )
|
|
510 CONTINUE
|
|
520 CONTINUE
|
|
ELSE
|
|
DO 550 J = 1, N
|
|
DO 530 I = J, MIN( N, J+KA )
|
|
AB( 1+I-J, J ) = A( I, J )
|
|
530 CONTINUE
|
|
DO 540 I = J, MIN( N, J+KB )
|
|
BB( 1+I-J, J ) = B( I, J )
|
|
540 CONTINUE
|
|
550 CONTINUE
|
|
END IF
|
|
*
|
|
VL = ZERO
|
|
VU = ANORM
|
|
CALL DSBGVX( 'V', 'V', UPLO, N, KA, KB, AB, LDA,
|
|
$ BB, LDB, BP, MAX( 1, N ), VL, VU, IL,
|
|
$ IU, ABSTOL, M, D, Z, LDZ, WORK,
|
|
$ IWORK( N+1 ), IWORK, IINFO )
|
|
IF( IINFO.NE.0 ) THEN
|
|
WRITE( NOUNIT, FMT = 9999 )'DSBGVX(V,V' //
|
|
$ UPLO // ')', IINFO, N, JTYPE, IOLDSD
|
|
INFO = ABS( IINFO )
|
|
IF( IINFO.LT.0 ) THEN
|
|
RETURN
|
|
ELSE
|
|
RESULT( NTEST ) = ULPINV
|
|
GO TO 620
|
|
END IF
|
|
END IF
|
|
*
|
|
* Do Test
|
|
*
|
|
CALL DSGT01( IBTYPE, UPLO, N, M, A, LDA, B, LDB, Z,
|
|
$ LDZ, D, WORK, RESULT( NTEST ) )
|
|
*
|
|
NTEST = NTEST + 1
|
|
*
|
|
* Copy the matrices into band storage.
|
|
*
|
|
IF( LSAME( UPLO, 'U' ) ) THEN
|
|
DO 580 J = 1, N
|
|
DO 560 I = MAX( 1, J-KA ), J
|
|
AB( KA+1+I-J, J ) = A( I, J )
|
|
560 CONTINUE
|
|
DO 570 I = MAX( 1, J-KB ), J
|
|
BB( KB+1+I-J, J ) = B( I, J )
|
|
570 CONTINUE
|
|
580 CONTINUE
|
|
ELSE
|
|
DO 610 J = 1, N
|
|
DO 590 I = J, MIN( N, J+KA )
|
|
AB( 1+I-J, J ) = A( I, J )
|
|
590 CONTINUE
|
|
DO 600 I = J, MIN( N, J+KB )
|
|
BB( 1+I-J, J ) = B( I, J )
|
|
600 CONTINUE
|
|
610 CONTINUE
|
|
END IF
|
|
*
|
|
CALL DSBGVX( 'V', 'I', UPLO, N, KA, KB, AB, LDA,
|
|
$ BB, LDB, BP, MAX( 1, N ), VL, VU, IL,
|
|
$ IU, ABSTOL, M, D, Z, LDZ, WORK,
|
|
$ IWORK( N+1 ), IWORK, IINFO )
|
|
IF( IINFO.NE.0 ) THEN
|
|
WRITE( NOUNIT, FMT = 9999 )'DSBGVX(V,I' //
|
|
$ UPLO // ')', IINFO, N, JTYPE, IOLDSD
|
|
INFO = ABS( IINFO )
|
|
IF( IINFO.LT.0 ) THEN
|
|
RETURN
|
|
ELSE
|
|
RESULT( NTEST ) = ULPINV
|
|
GO TO 620
|
|
END IF
|
|
END IF
|
|
*
|
|
* Do Test
|
|
*
|
|
CALL DSGT01( IBTYPE, UPLO, N, M, A, LDA, B, LDB, Z,
|
|
$ LDZ, D, WORK, RESULT( NTEST ) )
|
|
*
|
|
END IF
|
|
*
|
|
620 CONTINUE
|
|
630 CONTINUE
|
|
*
|
|
* End of Loop -- Check for RESULT(j) > THRESH
|
|
*
|
|
NTESTT = NTESTT + NTEST
|
|
CALL DLAFTS( 'DSG', N, N, JTYPE, NTEST, RESULT, IOLDSD,
|
|
$ THRESH, NOUNIT, NERRS )
|
|
640 CONTINUE
|
|
650 CONTINUE
|
|
*
|
|
* Summary
|
|
*
|
|
CALL DLASUM( 'DSG', NOUNIT, NERRS, NTESTT )
|
|
*
|
|
RETURN
|
|
*
|
|
* End of DDRVSG
|
|
*
|
|
9999 FORMAT( ' DDRVSG: ', A, ' returned INFO=', I6, '.', / 9X, 'N=',
|
|
$ I6, ', JTYPE=', I6, ', ISEED=(', 3( I5, ',' ), I5, ')' )
|
|
END
|