TESTING/EIG/zdrves.f(3)
β¨ zdrves: Schur-form driver checks, but make it a vibe β¨
π NAME π
TESTING/EIG/zdrves.f β yes bestie, that's literally the manual name. This is the TESTING/EIG/zdrves.f(3) page from the Library Functions Manual, and we're testing ZGEES with 13 checks and 21 matrix types. No cap, it's giving thorough. π
π¦ SYNOPSIS π¦
Functions/Subroutines
subroutine zdrvesβ the main character. Signature below, exactly as it lives in the source, bestie.
subroutine zdrves (nsizes, nn, ntypes, dotype, iseed, thresh, nounit, a,
lda, h, ht, w, wt, vs, ldvs, result, work, nwork, rwork, iwork,
bwork, info)
ZDRVES
π Function/Subroutine Documentation π
subroutine zdrves (...)
Full typed signature, copied exactly because we do not play with function signatures:
subroutine zdrves (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( lda, * ) h, complex*16, dimension( lda, * ) ht, complex*16, dimension( * ) w, complex*16, dimension( * ) wt, complex*16, dimension( ldvs, * ) vs, integer ldvs, double precision, dimension( 13 ) result, complex*16, dimension( * ) work, integer nwork, double precision, dimension( * ) rwork, integer, dimension( * ) iwork, logical, dimension( * ) bwork, integer info)
ZDRVES
π Purpose π
Okay so ZDRVES checks the nonsymmetric eigenvalue (Schur form) problem driver ZGEES. That's the whole assignment. π«Ά
When ZDRVES is called, a number of matrix sizes and a number of matrix types are specified. For each size and each type of matrix, one matrix will be generated and used to test the nonsymmetric eigenroutines. For each matrix, 13 tests will be performed:
0ifTis in Schur form,1/ulpotherwise β no sorting of eigenvalues.| A - VS T VS' | / ( n |A| ulp )β hereVSis the matrix of Schur eigenvectors, andTis in Schur form β no sorting of eigenvalues.| I - VS VS' | / ( n ulp )β no sorting of eigenvalues.0ifWare eigenvalues ofT,1/ulpotherwise β no sorting of eigenvalues.0ifT(with VS) = T(without VS),1/ulpotherwise β no sorting of eigenvalues.0ifeigenvalues(with VS) = eigenvalues(without VS),1/ulpotherwise β no sorting of eigenvalues.0ifTis in Schur form,1/ulpotherwise β with sorting of eigenvalues.| A - VS T VS' | / ( n |A| ulp )β hereVSis the matrix of Schur eigenvectors, andTis in Schur form β with sorting of eigenvalues.| I - VS VS' | / ( n ulp )β with sorting of eigenvalues.0ifWare eigenvalues ofT,1/ulpotherwise β with sorting of eigenvalues.0ifT(with VS) = T(without VS),1/ulpotherwise β with sorting of eigenvalues.0ifeigenvalues(with VS) = eigenvalues(without VS),1/ulpotherwise β with sorting of eigenvalues.- If sorting worked and
SDIMis the number of eigenvalues which wereSELECTed.
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.
Currently, the list of possible types is:
- The zero matrix.
- The identity matrix.
- A (transposed) Jordan block, with
1's on the diagonal. - A diagonal matrix with evenly spaced entries
1, ..., ULPand random complex angles. (ULP = (first number larger than 1) - 1) - A diagonal matrix with geometrically spaced entries
1, ..., ULPand random complex angles. - A diagonal matrix with entries
1, ULP, ..., ULPand random complex angles. - Same as (4), but multiplied by a constant near the overflow threshold.
- Same as (4), but multiplied by a constant near the underflow threshold.
- A matrix of the form
U' T U, whereUis unitary andThas evenly spaced entries1, ..., ULPwith random complex angles on the diagonal and randomO(1)entries in the upper triangle. - A matrix of the form
U' T U, whereUis unitary andThas geometrically spaced entries1, ..., ULPwith random complex angles on the diagonal and randomO(1)entries in the upper triangle. - A matrix of the form
U' T U, whereUis orthogonal andThas entries1, ULP,..., ULPwith random complex angles on the diagonal and randomO(1)entries in the upper triangle. - A matrix of the form
U' T U, whereUis unitary andThas complex eigenvalues randomly chosen fromULP < |z| < 1and randomO(1)entries in the upper triangle. - A matrix of the form
X' T X, whereXhas conditionSQRT( ULP )andThas evenly spaced entries1, ..., ULPwith random complex angles on the diagonal and randomO(1)entries in the upper triangle. - A matrix of the form
X' T X, whereXhas conditionSQRT( ULP )andThas geometrically spaced entries1, ..., ULPwith random complex angles on the diagonal and randomO(1)entries in the upper triangle. - A matrix of the form
X' T X, whereXhas conditionSQRT( ULP )andThas entries1, ULP,..., ULPwith random complex angles on the diagonal and randomO(1)entries in the upper triangle. - A matrix of the form
X' T X, whereXhas conditionSQRT( ULP )andThas complex eigenvalues randomly chosen fromULP < |z| < 1and randomO(1)entries in the upper triangle. - Same as (16), but multiplied by a constant near the overflow threshold.
- Same as (16), but multiplied by a constant near the underflow threshold.
- Nonsymmetric matrix with random entries chosen from
(-1,1). IfNis at least4, all entries in first two rows and last row, and first column and last two columns are zero. - Same as (19), but multiplied by a constant near the overflow threshold.
- Same as (19), but multiplied by a constant near the underflow threshold.
πΈ Parameters πΈ
NSIZES
NSIZES is INTEGER. It's the number of sizes of matrices to use. If it is zero, ZDRVES does nothing. It must be at least zero. Very "if you don't ask, you don't get" energy. π
NN
NN is 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.
NTYPES
NTYPES is INTEGER. The number of elements in DOTYPE. If it is zero, ZDRVES 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..
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 ZDRVES to continue the same random number sequence. π
THRESH
THRESH is DOUBLE PRECISION. A test will count as a fail if the computed error, 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.
NOUNIT
NOUNIT is INTEGER. The FORTRAN unit number for printing out error messages (e.g., if a routine returns INFO not equal to 0). Ngl, helpful when something goes feral. π
A
A is 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.
LDA
LDA is INTEGER. The leading dimension of A, and H. LDA must be at least 1 and at least max( NN ).
H
H is COMPLEX*16 array, dimension (LDA, max(NN)). Another copy of the test matrix A, modified by ZGEES.
HT
HT is COMPLEX*16 array, dimension (LDA, max(NN)). Yet another copy of the test matrix A, modified by ZGEES.
W
Okay so picking up right where the arg list left off, no recap, we move:
WβCOMPLEX*16array, dimension(max(NN)). These are the computed eigenvalues ofA. πWTβCOMPLEX*16array, dimension(max(NN)). LikeW, this one also holds the eigenvalues ofA, but these are the ones computed whenZGEESonly does a partial eigendecomposition, i.e. not Schur vectors. π«ΆVSβCOMPLEX*16array, dimension(LDVS, max(NN)).VSis where the computed Schur vectors live. πΈLDVSβINTEGER. Leading dimension ofVS. Must be at leastmax(1,max(NN)). No cap.RESULTβDOUBLE PRECISIONarray, dimension(13). The values computed by the 13 tests described above. Currently these values are limited to1/ulpso they don't overflow. πWORKβCOMPLEX*16array, dimension(NWORK). π οΈNWORKβINTEGER. The number of entries inWORK. This must be at least5*NN(j)+2*NN(j)**2for allj. Periodt.RWORKβDOUBLE PRECISIONarray, dimension(max(NN)). β¨IWORKβINTEGERarray, dimension(max(NN)). β¨BWORKβLOGICALarray, dimension(max(NN)). β¨INFOβINTEGER. If0, then everything ran OK. Other values are giving:-1:NSIZES < 0-2: SomeNN(j) < 0-3:NTYPES < 0-6:THRESH < 0-9:LDA < 1orLDA < NMAX, whereNMAXismax( NN(j) ).-15:LDVS < 1orLDVS < NMAX, whereNMAXismax( NN(j) ).-18:NWORKtoo small.
If ZLATMR, CLATMS, CLATME or ZGEES returns an error code, the absolute value of it is returned. π₯
π Some Local Variables and Parameters π
Some Local Variables and Parameters:
---- ----- --------- --- ----------
ZERO,ONEβ Real0and1.MAXTYPβ The number of types defined.NMAXβ Largest value inNN.NERRSβ The number of tests which have exceededTHRESH.COND,CONDS,IMODEβ Values to be passed to the matrix generators.ANORMβ Norm ofA; passed to matrix generators.OVFL,UNFLβ Overflow and underflow thresholds.ULP,ULPINVβ Finest relative precision and its inverse.RTULP,RTULPIβ Square roots of the previous 4 values.
The following four arrays decode JTYPE:
KTYPE(j)β The general type (1-10) for type .KMODE(j)β TheMODEvalue to be passed to the matrix generator for type .KMAGN(j)β The order of magnitude (O(1),O(overflow^(1/2) ),O(underflow^(1/2) )).KCONDS(j)β Select whetherCONDSis to be1or1/sqrt(ulp). (0means irrelevant.)
π Author π
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Definition at line 375 of file zdrves.f.
π¦ Author π¦
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