cdrges33
Part of cdrges3.f(3).
Usage
Functions/Subroutines
CDRGES3
Function/Subroutine Documentation
subroutine cdrges3 (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, * ) b, complex, dimension( lda, * ) s, complex, dimension( lda, * ) t, complex, dimension( ldq, * ) q, integer ldq, complex, dimension( ldq, * ) z, complex, dimension( * ) alpha, complex, dimension( * ) beta, complex, dimension( * ) work, integer lwork, real, dimension( * ) rwork, real, dimension( 13 ) result, logical, dimension( * ) bwork, integer info)
CDRGES3
Purpose:
!>
!> CDRGES3 checks the nonsymmetric generalized eigenvalue (Schur form)
!> problem driver CGGES3.
!>
!> CGGES3 factors A and B as Q*S*Z' and Q*T*Z' , where ' means conjugate
!> transpose, S and T are upper triangular (i.e., in generalized Schur
!> form), and Q and Z are unitary. It also computes the generalized
!> eigenvalues (alpha(j),beta(j)), j=1,...,n. Thus,
!> w(j) = alpha(j)/beta(j) is a root of the characteristic equation
!>
!> det( A - w(j) B ) = 0
!>
!> Optionally it also reorder the eigenvalues so that a selected
!> cluster of eigenvalues appears in the leading diagonal block of the
!> Schur forms.
!>
!> When CDRGES3 is called, a number of matrix () and a
!> number of matrix are specified. For each size ()
!> and each TYPE of matrix, a pair of matrices (A, B) will be generated
!> and used for testing. For each matrix pair, the following 13 tests
!> will be performed and compared with the threshold THRESH except
!> the tests (5), (11) and (13).
!>
!>
!> (1) | A - Q S Z' | / ( |A| n ulp ) (no sorting of eigenvalues)
!>
!>
!> (2) | B - Q T Z' | / ( |B| n ulp ) (no sorting of eigenvalues)
!>
!>
!> (3) | I - QQ' | / ( n ulp ) (no sorting of eigenvalues)
!>
!>
!> (4) | I - ZZ' | / ( n ulp ) (no sorting of eigenvalues)
!>
!> (5) if A is in Schur form (i.e. triangular form) (no sorting of
!> eigenvalues)
!>
!> (6) if eigenvalues = diagonal elements of the Schur form (S, T),
!> i.e., test the maximum over j of D(j) where:
!>
!> |alpha(j) - S(j,j)| |beta(j) - T(j,j)|
!> D(j) = ------------------------ + -----------------------
!> max(|alpha(j)|,|S(j,j)|) max(|beta(j)|,|T(j,j)|)
!>
!> (no sorting of eigenvalues)
!>
!> (7) | (A,B) - Q (S,T) Z' | / ( |(A,B)| n ulp )
!> (with sorting of eigenvalues).
!>
!> (8) | I - QQ' | / ( n ulp ) (with sorting of eigenvalues).
!>
!> (9) | I - ZZ' | / ( n ulp ) (with sorting of eigenvalues).
!>
!> (10) if A is in Schur form (i.e. quasi-triangular form)
!> (with sorting of eigenvalues).
!>
!> (11) if eigenvalues = diagonal elements of the Schur form (S, T),
!> i.e. test the maximum over j of D(j) where:
!>
!> |alpha(j) - S(j,j)| |beta(j) - T(j,j)|
!> D(j) = ------------------------ + -----------------------
!> max(|alpha(j)|,|S(j,j)|) max(|beta(j)|,|T(j,j)|)
!>
!> (with sorting of eigenvalues).
!>
!> (12) if sorting worked and SDIM is the number of eigenvalues
!> which were CELECTed.
!>
!> Test Matrices
!> =============
!>
!> The sizes of the test matrices 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) ( 0, 0 ) (a pair of zero matrices)
!>
!> (2) ( I, 0 ) (an identity and a zero matrix)
!>
!> (3) ( 0, I ) (an identity and a zero matrix)
!>
!> (4) ( I, I ) (a pair of identity matrices)
!>
!> t t
!> (5) ( J , J ) (a pair of transposed Jordan blocks)
!>
!> t ( I 0 )
!> (6) ( X, Y ) where X = ( J 0 ) and Y = ( t )
!> ( 0 I ) ( 0 J )
!> and I is a k x k identity and J a (k+1)x(k+1)
!> Jordan block; k=(N-1)/2
!>
!> (7) ( D, I ) where D is diag( 0, 1,..., N-1 ) (a diagonal
!> matrix with those diagonal entries.)
!> (8) ( I, D )
!>
!> (9) ( big*D, small*I ) where is near overflow and small=1/big
!>
!> (10) ( small*D, big*I )
!>
!> (11) ( big*I, small*D )
!>
!> (12) ( small*I, big*D )
!>
!> (13) ( big*D, big*I )
!>
!> (14) ( small*D, small*I )
!>
!> (15) ( D1, D2 ) where D1 is diag( 0, 0, 1, ..., N-3, 0 ) and
!> D2 is diag( 0, N-3, N-4,..., 1, 0, 0 )
!> t t
!> (16) Q ( J , J ) Z where Q and Z are random orthogonal matrices.
!>
!> (17) Q ( T1, T2 ) Z where T1 and T2 are upper triangular matrices
!> with random O(1) entries above the diagonal
!> and diagonal entries diag(T1) =
!> ( 0, 0, 1, ..., N-3, 0 ) and diag(T2) =
!> ( 0, N-3, N-4,..., 1, 0, 0 )
!>
!> (18) Q ( T1, T2 ) Z diag(T1) = ( 0, 0, 1, 1, s, ..., s, 0 )
!> diag(T2) = ( 0, 1, 0, 1,..., 1, 0 )
!> s = machine precision.
!>
!> (19) Q ( T1, T2 ) Z diag(T1)=( 0,0,1,1, 1-d, ..., 1-(N-5)*d=s, 0 )
!> diag(T2) = ( 0, 1, 0, 1, ..., 1, 0 )
!>
!> N-5
!> (20) Q ( T1, T2 ) Z diag(T1)=( 0, 0, 1, 1, a, ..., a =s, 0 )
!> diag(T2) = ( 0, 1, 0, 1, ..., 1, 0, 0 )
!>
!> (21) Q ( T1, T2 ) Z diag(T1)=( 0, 0, 1, r1, r2, ..., r(N-4), 0 )
!> diag(T2) = ( 0, 1, 0, 1, ..., 1, 0, 0 )
!> where r1,..., r(N-4) are random.
!>
!> (22) Q ( big*T1, small*T2 ) Z diag(T1) = ( 0, 0, 1, ..., N-3, 0 )
!> diag(T2) = ( 0, 1, ..., 1, 0, 0 )
!>
!> (23) Q ( small*T1, big*T2 ) Z diag(T1) = ( 0, 0, 1, ..., N-3, 0 )
!> diag(T2) = ( 0, 1, ..., 1, 0, 0 )
!>
!> (24) Q ( small*T1, small*T2 ) Z diag(T1) = ( 0, 0, 1, ..., N-3, 0 )
!> diag(T2) = ( 0, 1, ..., 1, 0, 0 )
!>
!> (25) Q ( big*T1, big*T2 ) Z diag(T1) = ( 0, 0, 1, ..., N-3, 0 )
!> diag(T2) = ( 0, 1, ..., 1, 0, 0 )
!>
!> (26) Q ( T1, T2 ) Z where T1 and T2 are random upper-triangular
!> matrices.
!>
!>
Parameters
NSIZES
!> NSIZES is INTEGER !> The number of sizes of matrices to use. If it is zero, !> SDRGES3 does nothing. NSIZES >= 0. !>
NN
!> NN is INTEGER array, dimension (NSIZES) !> An array containing the sizes to be used for the matrices. !> Zero values will be skipped. NN >= 0. !>
NTYPES
!> NTYPES is INTEGER !> The number of elements in DOTYPE. If it is zero, SDRGES3 !> 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 on input. !> 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 SDRGES3 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. THRESH >= 0.
!>
NOUNIT
!> NOUNIT is INTEGER !> The FORTRAN unit number for printing out error messages !> (e.g., if a routine returns IINFO not equal to 0.) !>
A
!> A is COMPLEX array, dimension(LDA, max(NN)) !> Used to hold the original A matrix. Used as input only !> if NTYPES=MAXTYP+1, DOTYPE(1:MAXTYP)=.FALSE., and !> DOTYPE(MAXTYP+1)=.TRUE. !>
LDA
!> LDA is INTEGER !> The leading dimension of A, B, S, and T. !> It must be at least 1 and at least max( NN ). !>
B
!> B is COMPLEX array, dimension(LDA, max(NN)) !> Used to hold the original B matrix. Used as input only !> if NTYPES=MAXTYP+1, DOTYPE(1:MAXTYP)=.FALSE., and !> DOTYPE(MAXTYP+1)=.TRUE. !>
S
!> S is COMPLEX array, dimension (LDA, max(NN)) !> The Schur form matrix computed from A by CGGES3. On exit, S !> contains the Schur form matrix corresponding to the matrix !> in A. !>
T
!> T is COMPLEX array, dimension (LDA, max(NN)) !> The upper triangular matrix computed from B by CGGES3. !>
Q
!> Q is COMPLEX array, dimension (LDQ, max(NN)) !> The (left) orthogonal matrix computed by CGGES3. !>
LDQ
!> LDQ is INTEGER !> The leading dimension of Q and Z. It must !> be at least 1 and at least max( NN ). !>
Z
!> Z is COMPLEX array, dimension( LDQ, max(NN) ) !> The (right) orthogonal matrix computed by CGGES3. !>
ALPHA
!> ALPHA is COMPLEX array, dimension (max(NN)) !>
BETA
!> BETA is COMPLEX array, dimension (max(NN)) !> !> The generalized eigenvalues of (A,B) computed by CGGES3. !> ALPHA(k) / BETA(k) is the k-th generalized eigenvalue of A !> and B. !>
WORK
!> WORK is COMPLEX array, dimension (LWORK) !>
LWORK
!> LWORK is INTEGER !> The dimension of the array WORK. LWORK >= 3*N*N. !>
RWORK
!> RWORK is REAL array, dimension ( 8*N ) !> Real workspace. !>
RESULT
!> RESULT is REAL array, dimension (15) !> The values computed by the tests described above. !> The values are currently limited to 1/ulp, to avoid overflow. !>
BWORK
!> BWORK is LOGICAL array, dimension (N) !>
INFO
!> INFO is INTEGER !> = 0: successful exit !> < 0: if INFO = -i, the i-th argument had an illegal value. !> > 0: A routine returned an error code. INFO is the !> absolute value of the INFO value returned. !>
Author
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Definition at line 378 of file cdrges3.f.