TESTING/EIG/sget24.f(3)
πΈ NAME πΈ
okay so bestie, this page is the manual entry for TESTING/EIG/sget24.f(3) β yes, thatβs the file path and the section number, and weβre keeping it exactly like that π
β¨ SYNOPSIS β¨
π§ Functions/Subroutines π§
Hereβs the subroutine synopsis, copied exactly so you can trust it, no cap:
subroutine sget24 (comp, jtype, thresh, iseed, nounit, n, a, lda, h, ht,
wr, wi, wrt, wit, wrtmp, witmp, vs, ldvs, vs1, rcdein, rcdvin,
nslct, islct, result, work, lwork, iwork, bwork, info)
SGET24β thatβs the all-caps name from the synopsis, right there, iconic and untouched π«Ά
π Function/Subroutine Documentation π
subroutine sget24 (logical comp, integer jtype, real thresh, integer,
dimension( 4 ) iseed, integer nounit, integer n, real, dimension( lda, *
) a, integer lda, real, dimension( lda, * ) h, real, dimension( lda, * )
ht, real, dimension( * ) wr, real, dimension( * ) wi, real, dimension( *
) wrt, real, dimension( * ) wit, real, dimension( * ) wrtmp, real,
dimension( * ) witmp, real, dimension( ldvs, * ) vs, integer ldvs, real,
dimension( ldvs, * ) vs1, real rcdein, real rcdvin, integer nslct,
integer, dimension( * ) islct, real, dimension( 17 ) result, real,
dimension( * ) work, integer lwork, integer, dimension( * ) iwork,
logical, dimension( * ) bwork, integer info)
SGET24
π― Purpose π―
Bestie, SGET24 checks the nonsymmetric eigenvalue (Schur form) problem expert driver SGEESX. Like, it's the vibe check for that whole situation. π
If COMP = .FALSE., the first 13 of the following tests will be be performed on the input matrix A, and also tests 14 and 15 if LWORK is sufficiently large. If COMP = .TRUE., all 17 test will be performed.
(1)β0ifTis in Schur form,1/ulpotherwise (no sorting of eigenvalues).(2)β| 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)β| I - VS VS' | / ( n ulp )(no sorting of eigenvalues).(4)β0ifWR+sqrt(-1)*WIare eigenvalues ofT,1/ulpotherwise (no sorting of eigenvalues).(5)β0ifT(with VS) = T(without VS),1/ulpotherwise (no sorting of eigenvalues).(6)β0ifeigenvalues(with VS) = eigenvalues(without VS),1/ulpotherwise (no sorting of eigenvalues).(7)β0ifTis in Schur form,1/ulpotherwise (with sorting of eigenvalues).(8)β| 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)β| I - VS VS' | / ( n ulp )(with sorting of eigenvalues).(10)β0ifWR+sqrt(-1)*WIare eigenvalues ofT,1/ulpotherwise. If workspace sufficient, also compareWR,WIwith and without reciprocal condition numbers (with sorting of eigenvalues).(11)β0ifT(with VS) = T(without VS),1/ulpotherwise. If workspace sufficient, also compareTwith and without reciprocal condition numbers (with sorting of eigenvalues).(12)β0ifeigenvalues(with VS) = eigenvalues(without VS),1/ulpotherwise. If workspace sufficient, also compareVSwith and without reciprocal condition numbers (with sorting of eigenvalues).(13)β if sorting worked andSDIMis the number of eigenvalues which wereSELECTed. If workspace sufficient, also compareSDIMwith and without reciprocal condition numbers.(14)β ifRCONDEthe same no matter ifVSand/orRCDVcomputed.(15)β ifRCDVthe same no matter ifVSand/orRCDEcomputed.(16)β|RCONDE - RCDEIN| / cond(RCONDE)
RCONDE is the reciprocal average eigenvalue condition number computed by SGEESX and RCDEIN (the precomputed true value) is supplied as input. cond(RCONDE) is the condition number of RCONDE, and takes errors in computing RCONDE into account, so that the resulting quantity should be O(ULP). cond(RCONDE) is essentially given by norm(A)/RCONDV.
(17)β|RCONDV - RCDVIN| / cond(RCONDV)
RCONDV is the reciprocal right invariant subspace condition number computed by SGEESX and RCDVIN (the precomputed true value) is supplied as input. cond(RCONDV) is the condition number of RCONDV, and takes errors in computing RCONDV into account, so that the resulting quantity should be O(ULP). cond(RCONDV) is essentially given by norm(A)/RCONDE.
πΈ Parameters πΈ
COMP
COMP is LOGICAL. COMP describes which input tests to perform:
= .FALSE.if the computed condition numbers are not to be tested againstRCDVINandRCDEIN= .TRUE.if they are to be compared
JTYPE
JTYPE is INTEGER. Type of input matrix. Used to label output if error occurs.
ISEED
ISEED is INTEGER array, dimension (4).
If COMP = .FALSE., the random number generator seed used to produce matrix.
If COMP = .TRUE., ISEED(1) = the number of the example.
Used to label output if error occurs.
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.
Yeah, bestie, the source has a tiny gap in that sentence β we are not inventing words, we're keeping it 100. π
NOUNIT
NOUNIT is INTEGER. The FORTRAN unit number for printing out error messages (e.g., if a routine returns INFO not equal to 0.)
N
N is INTEGER. The dimension of A. N must be at least 0.
A
A is REAL array, dimension (LDA, N). Used to hold the matrix whose eigenvalues are to be computed.
LDA
LDA is INTEGER. The leading dimension of A, and H. LDA must be at least 1 and at least N.
H
H is REAL array, dimension (LDA, N). Another copy of the test matrix A, modified by SGEESX.
HT
HT is REAL array, dimension (LDA, N). Yet another copy of the test matrix A, modified by SGEESX.
WR
WR is REAL array, dimension (N).
WI
WI is REAL array, dimension (N).
The real and imaginary parts of the eigenvalues of A. On exit, WR + WI*i are the eigenvalues of the matrix in A.
WRT
WRT is REAL array, dimension (N).
WIT
WIT is REAL array, dimension (N).
Like WR, WI, these arrays contain the eigenvalues of A, but those computed when SGEESX only computes a partial eigendecomposition, i.e. not Schur vectors.
WRTMP
WRTMP is REAL array, dimension (N).
WITMP
WITMP is REAL array, dimension (N).
Like WR, WI, these arrays contain the eigenvalues of A, but sorted by increasing real part.
VS
VS is REAL array, dimension (LDVS, N). VS holds the computed Schur vectors.
LDVS
LDVS is INTEGER. Leading dimension of VS. Must be at least max(1, N).
VS1
VS1 is REAL array, dimension (LDVS, N). VS1 holds another copy of the computed Schur vectors.
RCDEIN
RCDEIN is REAL. When COMP = .TRUE. RCDEIN holds the precomputed reciprocal condition number for the average of selected eigenvalues.
RCDVIN
RCDVIN is REAL. When COMP = .TRUE. RCDVIN holds the precomputed reciprocal condition number for the selected right invariant subspace.
NSLCT
NSLCT is INTEGER. When COMP = .TRUE. the number of selected eigenvalues corresponding to the precomputed values RCDEIN and RCDVIN.
ISLCT
ISLCT is INTEGER array, dimension (NSLCT).
When COMP = .TRUE. ISLCT selects the eigenvalues of the input matrix corresponding to the precomputed values RCDEIN and RCDVIN. For I=1, ... ,NSLCT, if ISLCT(I) = J, then the eigenvalue with the J-th largest real part is selected. Not referenced if COMP = .FALSE.
RESULT
RESULT is REAL array, dimension (17).
The values computed by the 17 tests described above. The values are currently limited to 1/ulp, to avoid overflow.
WORK
WORK is REAL array, dimension (LWORK).
LWORK
LWORK is INTEGER. The number of entries in WORK to be passed to SGEESX. This must be at least 3*N, and N+N**2 if tests 14--16 are to be performed.
IWORK
IWORK is INTEGER array, dimension (N*N).
BWORK
BWORK is LOGICAL array, dimension (N).
INFO
INFO is INTEGER.
If 0, successful exit.
If <0, input parameter -INFO had an incorrect value.
If >0, SGEESX returned an error code, the absolute value of which is returned.
π Author π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
Definition at line 339 of file sget24.f.
π«Ά Author π«Ά
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