ctgsna
ctgsna - estimate reciprocal condition numbers for specified eigenvalues and/or eigenvectors of a matrix pair (A, B)
SUBROUTINE CTGSNA( JOB, HOWMNT, SELECT, N, A, LDA, B, LDB, VL, LDVL,
* VR, LDVR, S, DIF, MM, M, WORK, LWORK, IWORK, INFO)
CHARACTER * 1 JOB, HOWMNT
COMPLEX A(LDA,*), B(LDB,*), VL(LDVL,*), VR(LDVR,*), WORK(*)
INTEGER N, LDA, LDB, LDVL, LDVR, MM, M, LWORK, INFO
INTEGER IWORK(*)
LOGICAL SELECT(*)
REAL S(*), DIF(*)
SUBROUTINE CTGSNA_64( JOB, HOWMNT, SELECT, N, A, LDA, B, LDB, VL,
* LDVL, VR, LDVR, S, DIF, MM, M, WORK, LWORK, IWORK, INFO)
CHARACTER * 1 JOB, HOWMNT
COMPLEX A(LDA,*), B(LDB,*), VL(LDVL,*), VR(LDVR,*), WORK(*)
INTEGER*8 N, LDA, LDB, LDVL, LDVR, MM, M, LWORK, INFO
INTEGER*8 IWORK(*)
LOGICAL*8 SELECT(*)
REAL S(*), DIF(*)
SUBROUTINE TGSNA( JOB, HOWMNT, SELECT, [N], A, [LDA], B, [LDB], VL,
* [LDVL], VR, [LDVR], S, DIF, MM, M, [WORK], [LWORK], [IWORK],
* [INFO])
CHARACTER(LEN=1) :: JOB, HOWMNT
COMPLEX, DIMENSION(:) :: WORK
COMPLEX, DIMENSION(:,:) :: A, B, VL, VR
INTEGER :: N, LDA, LDB, LDVL, LDVR, MM, M, LWORK, INFO
INTEGER, DIMENSION(:) :: IWORK
LOGICAL, DIMENSION(:) :: SELECT
REAL, DIMENSION(:) :: S, DIF
SUBROUTINE TGSNA_64( JOB, HOWMNT, SELECT, [N], A, [LDA], B, [LDB],
* VL, [LDVL], VR, [LDVR], S, DIF, MM, M, [WORK], [LWORK], [IWORK],
* [INFO])
CHARACTER(LEN=1) :: JOB, HOWMNT
COMPLEX, DIMENSION(:) :: WORK
COMPLEX, DIMENSION(:,:) :: A, B, VL, VR
INTEGER(8) :: N, LDA, LDB, LDVL, LDVR, MM, M, LWORK, INFO
INTEGER(8), DIMENSION(:) :: IWORK
LOGICAL(8), DIMENSION(:) :: SELECT
REAL, DIMENSION(:) :: S, DIF
#include <sunperf.h>
void ctgsna(char job, char howmnt, logical *select, int n, complex *a, int lda, complex *b, int ldb, complex *vl, int ldvl, complex *vr, int ldvr, float *s, float *dif, int mm, int *m, int *info);
void ctgsna_64(char job, char howmnt, logical *select, long n, complex *a, long lda, complex *b, long ldb, complex *vl, long ldvl, complex *vr, long ldvr, float *s, float *dif, long mm, long *m, long *info);
ctgsna estimates reciprocal condition numbers for specified
eigenvalues and/or eigenvectors of a matrix pair (A, B).
(A, B) must be in generalized Schur canonical form, that is, A and
B are both upper triangular.
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* JOB (input)
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Specifies whether condition numbers are required for
eigenvalues (S) or eigenvectors (DIF):
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* HOWMNT (input)
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* SELECT (input)
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If HOWMNT = 'S', SELECT specifies the eigenpairs for which
condition numbers are required. To select condition numbers
for the corresponding j-th eigenvalue and/or eigenvector,
SELECT(j) must be set to .TRUE..
If HOWMNT = 'A', SELECT is not referenced.
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* N (input)
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The order of the square matrix pair (A, B). N >= 0.
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* A (input)
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The upper triangular matrix A in the pair (A,B).
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* LDA (input)
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The leading dimension of the array A. LDA >= max(1,N).
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* B (input)
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The upper triangular matrix B in the pair (A, B).
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* LDB (input)
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The leading dimension of the array B. LDB >= max(1,N).
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* VL (input)
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If JOB = 'E' or 'B', VL must contain left eigenvectors of
(A, B), corresponding to the eigenpairs specified by HOWMNT
and SELECT. The eigenvectors must be stored in consecutive
columns of VL, as returned by CTGEVC.
If JOB = 'V', VL is not referenced.
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* LDVL (input)
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The leading dimension of the array VL. LDVL >= 1; and
If JOB = 'E' or 'B', LDVL >= N.
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* VR (input)
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If JOB = 'E' or 'B', VR must contain right eigenvectors of
(A, B), corresponding to the eigenpairs specified by HOWMNT
and SELECT. The eigenvectors must be stored in consecutive
columns of VR, as returned by CTGEVC.
If JOB = 'V', VR is not referenced.
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* LDVR (input)
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The leading dimension of the array VR. LDVR >= 1;
If JOB = 'E' or 'B', LDVR >= N.
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* S (output)
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If JOB = 'E' or 'B', the reciprocal condition numbers of the
selected eigenvalues, stored in consecutive elements of the
array.
If JOB = 'V', S is not referenced.
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* DIF (output)
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If JOB = 'V' or 'B', the estimated reciprocal condition
numbers of the selected eigenvectors, stored in consecutive
elements of the array.
If the eigenvalues cannot be reordered to compute DIF(j),
DIF(j) is set to 0; this can only occur when the true value
would be very small anyway.
For each eigenvalue/vector specified by SELECT, DIF stores
a Frobenius norm-based estimate of Difl.
If JOB = 'E', DIF is not referenced.
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* MM (input)
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The number of elements in the arrays S and DIF. MM >= M.
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* M (output)
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The number of elements of the arrays S and DIF used to store
the specified condition numbers; for each selected eigenvalue
one element is used. If HOWMNT = 'A', M is set to N.
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* WORK (workspace)
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If JOB = 'E', WORK is not referenced. Otherwise,
on exit, if INFO = 0, WORK(1) returns the optimal LWORK.
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* LWORK (input)
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The dimension of the array WORK. LWORK >= 1.
If JOB = 'V' or 'B', LWORK >= 2*N*N.
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* IWORK (workspace)
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If JOB = 'E', IWORK is not referenced.
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* INFO (output)
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