ZDRVST2STG(3)
πΈ NAME πΈ
Ok bestie, we're on the TESTING/EIG/zdrvst2stg.f(3) page from the Library Functions Manual, and the actual file being documented is TESTING/EIG/zdrvst2stg.f. π
π SYNOPSIS π
β¨ Functions/Subroutines β¨
Here's the whole cast list, no cap:
subroutine zdrvst2stg (nsizes, nn, ntypes, dotype, iseed, thresh,
nounit, a, lda, d1, d2, d3, wa1, wa2, wa3, u, ldu, v, tau, z, work,
lwork, rwork, lrwork, iwork, liwork, result, info)
ZDRVST2STG
π FUNCTION/SUBROUTINE DOCUMENTATION π
Say hi to the full signature, bestie β every type, every dimension, every lil parameter is right here:
subroutine zdrvst2stg (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, double precision, dimension( * ) d1, double precision,
dimension( * ) d2, double precision, dimension( * ) d3, double
precision, dimension( * ) wa1, double precision, dimension( * ) wa2,
double precision, dimension( * ) wa3, complex*16, dimension( ldu, * ) u,
integer ldu, complex*16, dimension( ldu, * ) v, complex*16, dimension( *
) tau, complex*16, dimension( ldu, * ) z, complex*16, dimension( * )
work, integer lwork, double precision, dimension( * ) rwork, integer
lrwork, integer, dimension( * ) iwork, integer liwork, double precision,
dimension( * ) result, integer info)
ZDRVST2STG
π¦ Purpose π¦
So ZDRVST2STG checks the Hermitian eigenvalue problem drivers. That's the whole vibe. π«Ά
Here's the driver lineup it's testing, and yes, every single one is included:
ZHEEVDβ computes all eigenvalues and, optionally, eigenvectors of a complex Hermitian matrix, using a divide-and-conquer algorithm. β¨ZHEEVXβ computes selected eigenvalues and, optionally, eigenvectors of a complex Hermitian matrix.ZHEEVRβ computes selected eigenvalues and, optionally, eigenvectors of a complex Hermitian matrix using the Relatively Robust Representation where it can. πZHPEVDβ computes all eigenvalues and, optionally, eigenvectors of a complex Hermitian matrix in packed storage, using a divide-and-conquer algorithm.ZHPEVXβ computes selected eigenvalues and, optionally, eigenvectors of a complex Hermitian matrix in packed storage.ZHBEVDβ computes all eigenvalues and, optionally, eigenvectors of a complex Hermitian band matrix, using a divide-and-conquer algorithm. π₯ZHBEVXβ computes selected eigenvalues and, optionally, eigenvectors of a complex Hermitian band matrix.ZHEEVβ computes all eigenvalues and, optionally, eigenvectors of a complex Hermitian matrix.ZHPEVβ computes all eigenvalues and, optionally, eigenvectors of a complex Hermitian matrix in packed storage.ZHBEVβ computes all eigenvalues and, optionally, eigenvectors of a complex Hermitian band matrix. π
When ZDRVST2STG is called, a number of matrix () and a number of matrix are specified. For each size () and each type of matrix, one matrix will be generated and used to test the appropriate drivers. For each matrix and each driver routine called, the following tests will be performed:
| A - Z D Z' | / ( |A| n ulp )| I - Z Z' | / ( n ulp )| D1 - D2 | / ( |D1| ulp )
Where Z is the matrix of eigenvectors returned when the eigenvector option is given and D1 and D2 are the eigenvalues returned with and without the eigenvector option. π§
The 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) The zero matrix.
- (2) The identity matrix.
- (3) A diagonal matrix with evenly spaced entries
1, ..., ULPand random signs. (ULP = (first number larger than 1) - 1) - (4) A diagonal matrix with geometrically spaced entries
1, ..., ULPand random signs. - (5) A diagonal matrix with entries
1, ULP, ..., ULPand random signs. - (6) Same as (4), but multiplied by
SQRT( overflow threshold ) - (7) Same as (4), but multiplied by
SQRT( underflow threshold ) - (8) A matrix of the form
U* D U, whereUis unitary andDhas evenly spaced entries1, ..., ULPwith random signs on the diagonal. π - (9) A matrix of the form
U* D U, whereUis unitary andDhas geometrically spaced entries1, ..., ULPwith random signs on the diagonal. - (10) A matrix of the form
U* D U, whereUis unitary andDhas entries1, ULP,..., ULPwith random signs on the diagonal. - (11) Same as (8), but multiplied by
SQRT( overflow threshold ) - (12) Same as (8), but multiplied by
SQRT( underflow threshold ) - (13) Symmetric matrix with random entries chosen from
(-1,1). - (14) Same as (13), but multiplied by
SQRT( overflow threshold ) - (15) Same as (13), but multiplied by
SQRT( underflow threshold ) - (16) A band matrix with half bandwidth randomly chosen between
0andN-1, with evenly spaced eigenvalues1, ..., ULPwith random signs. π¦ - (17) Same as (16), but multiplied by
SQRT( overflow threshold ) - (18) Same as (16), but multiplied by
SQRT( underflow threshold )π
okay, argument roll call continued β every single one, no skips, no cap π
NSIZESINTEGER β the number of sizes of matrices to use. If it is zero,ZDRVST2STGdoes nothing. It must be at least zero. Not modified.NNINTEGER array, dimension (NSIZES) β an array containing the sizes to be used for the matrices. Zero values will be skipped. The values must be at least zero. Not modified.NTYPESINTEGER β the number of elements inDOTYPE. If it is zero,ZDRVST2STGdoes nothing. It must be at least zero. If it isMAXTYP+1andNSIZESis1, then an additional type,MAXTYP+1is defined, which is to use whatever matrix is inA. This is only useful ifDOTYPE(1:MAXTYP)is.FALSE.andDOTYPE(MAXTYP+1)is.TRUE. .Not modified.DOTYPELOGICAL array, dimension (NTYPES) β ifDOTYPE(j)is.TRUE., then for each size inNNa matrix of that size and of typejwill be generated. IfNTYPESis smaller than the maximum number of types defined (PARAMETER MAXTYP), then typesNTYPES+1throughMAXTYPwill not be generated. IfNTYPESis larger thanMAXTYP,DOTYPE(MAXTYP+1)throughDOTYPE(NTYPES)will be ignored. Not modified.ISEEDINTEGER array, dimension (4) β on entryISEEDspecifies the seed of the random number generator. The array elements should be between0and4095; if not they will be reduced mod4096. 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 ofISEEDare changed on exit, and can be used in the next call toZDRVST2STGto continue the same random number sequence. Modified.THRESHDOUBLE PRECISION β a test will count as blank-in-the-source if the also-blank-in-the-source, computed as described above, exceedsTHRESH. Note that the error is scaled to beO(1), soTHRESHshould be a reasonably small multiple of1, e.g.,10or100. In particular, it should not depend on the precision (single vs. double) or the size of the matrix. It must be at least zero. Not modified.NOUNITINTEGER β the FORTRAN unit number for printing out error messages (e.g., if a routine returnsIINFOnot equal to0.) Not modified.ACOMPLEX*16 array, dimension (LDA , max(NN)) β used to hold the matrix whose eigenvalues are to be computed. On exit,Acontains the last matrix actually used. Modified.LDAINTEGER β the leading dimension ofA. It must be at least1and at leastmax( NN ). Not modified.D1DOUBLE PRECISION array, dimension (max(NN)) β the eigenvalues ofA, as computed byZSTEQRsimultaneously withZ. On exit, the eigenvalues inD1correspond with the matrix inA. Modified.D2DOUBLE PRECISION array, dimension (max(NN)) β the eigenvalues ofA, as computed byZSTEQRifZis not computed. On exit, the eigenvalues inD2correspond with the matrix inA. Modified.D3DOUBLE PRECISION array, dimension (max(NN)) β the eigenvalues ofA, as computed byDSTERF. On exit, the eigenvalues inD3correspond with the matrix inA. Modified.WA1DOUBLE PRECISION array, dimension β the source leaves the dimension blank here, bestie, so I'm not inventing a size πWA2DOUBLE PRECISION array, dimension β same blank-dimension situation asWA1π«ΆWA3DOUBLE PRECISION array, dimension β yep, blank dimension again, no capUCOMPLEX*16 array, dimension (LDU, max(NN)) β the unitary matrix computed byZHETRD + ZUNGC3. Modified.LDUINTEGER β the leading dimension ofU,Z, andV. It must be at least1and at leastmax( NN ). Not modified.VCOMPLEX*16 array, dimension (LDU, max(NN)) β the Housholder vectors computed byZHETRDin reducingAto tridiagonal form. Modified.TAUCOMPLEX*16 array, dimension (max(NN)) β the Householder factors computed byZHETRDin reducingAto tridiagonal form. Modified.ZCOMPLEX*16 array, dimension (LDU, max(NN)) β the unitary matrix of eigenvectors computed byZHEEVD,ZHEEVX,ZHPEVD,CHPEVX,ZHBEVD, andCHBEVX. Modified.WORKβCOMPLEX*16array of dimension( LWORK ). Workspace. Modified.LWORKβ INTEGER. The number of entries inWORK. This must be at least2*max( NN(j), 2 )**2. Not modified.RWORKDOUBLE PRECISION array, dimension (3*max(NN)) β workspace. Modified.LRWORKβ INTEGER. The number of entries inRWORK.IWORKINTEGER array, dimension (6*max(NN)) β workspace. Modified.LIWORKβ INTEGER. The number of entries inIWORK.RESULTDOUBLE PRECISION array, dimension (??) β the values computed by the tests described above. The values are currently limited to1/ulp, to avoid overflow. Modified.INFOINTEGER β if0, then everything ran OK.-1:NSIZES < 0-2: SomeNN(j) < 0-3:NTYPES < 0-5:THRESH < 0-9:LDA < 1orLDA < NMAX, whereNMAXismax( NN(j) ).-16:LDU < 1orLDU < NMAX.-21:LWORKtoo small.- If
DLATMR,SLATMS,ZHETRD,DORGC3,ZSTEQR,DSTERF, orDORMC2returns an error code, the absolute value of it is returned. - Modified.
π§ Some Local Variables and Parameters π§
okay so the source also gives us this little backstage pass into the local variables and parameters β iconic, honestly:
ZERO,ONEβ real0and1.MAXTYPβ the number of types defined.NTESTβ the number of tests performed, or which can be performed so far, for the current matrix.NTESTTβ the total number of tests performed so far.NMAXβ largest value inNN.NMATSβ the number of matrices generated so far.NERRSβ the number of tests which have exceededTHRESHso far (computed byDLAFTS).COND,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.RTOVFL,RTUNFLβ square roots of the previous 2 values.
The following four arrays decode JTYPE: (the source says four here, then lists three β I'm just reporting the group chat π)
KTYPE(j)β the general type (1-10) for type (the source leaves the type blank here) .KMODE(j)β theMODEvalue to be passed to the matrix generator for type (blank in the source again) .KMAGN(j)β the order of magnitude (O(1),O(overflow^(1/2) ),O(underflow^(1/2) ))
π Author π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
Definition at line 334 of file zdrvst2stg.f.
π Author (the Doxygen encore) π
Generated automatically by Doxygen for LAPACK from the source code.
and that's the whole page, bestie π«Ά β LAPACK Version 3.12.0, source TESTING/EIG/zdrvst2stg.f(3). The footer doesn't give a date, so I'm not making one up π
β¨
π¦ where this page comes from
- arch rolling: lapack-doc 3.12.1-2 Β· custom
- π girlified by deepseek-ai/DeepSeek-V4.1-Flash-1017 on : a language model's rewrite of the original, under its terms