ZDRVST2STG(3)
π¦ ZDRVST2STG(3) π¦
okay so bestie, this page is from the Library Functions Manual, and the file it's documenting is /home/abui...drvst2stg.f(3) β say that three times fast, I dare you π. The full path it came from is sitting right down there in NAME, don't worry.
heads up: a couple of words in the original got straight-up swallowed by the typesetter (you'll spot the empty gaps, like "the are specified"). I kept every gap exactly where it was instead of guessing, because we do not make stuff up in this house π
β¨ NAME β¨
/home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/TESTING/EIG/zdrvst2stg.f
like, that's the whole NAME section. it's a path. she's lowkey just a girl π
πΈ SYNOPSIS πΈ
Functions/Subroutines
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
that's it. that's the vibe. a lot of arguments, no cap π
π Function/Subroutine Documentation π
subroutine ZDRVST2STG
here she is in full, exactly character for character, because we respect the source around here π«Ά
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
okay so the whole point of this icon: ZDRVST2STG checks the Hermitian eigenvalue problem drivers. plural. a whole lineup. a whole squad, if you will π
here's the roster, and yes every single one of them is getting their moment:
ZHEEVDβ computes all eigenvalues and, optionally, eigenvectors of a complex Hermitian matrix, using a divide-and-conquer algorithm.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.ZHPEVDβ 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.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.
like, the range?? the versatility?? we stan a thorough test suite π
so 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. one matrix, many drivers, maximum drama β¨
and for each matrix and each driver routine called, these are the checks that go down:
| 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. yes bestie, we're comparing them. that's the whole bit π₯
π the sizes and the types π
the are specified by an array NN(1:NSIZES) β the value of each element NN(j) specifies one size.
the are specified by a logical array DOTYPE( 1:NTYPES ) β if DOTYPE(j) is .TRUE., then matrix type will be generated.
currently the list of possible types is, and buckle up because it's long:
- The zero matrix.
- The identity matrix.
- A diagonal matrix with evenly spaced entries
1, ..., ULPand random signs. (ULP = (first number larger than 1) - 1) - A diagonal matrix with geometrically spaced entries
1, ..., ULPand random signs. - A diagonal matrix with entries
1, ULP, ..., ULPand random signs. - Same as (4), but multiplied by
SQRT( overflow threshold ). - Same as (4), but multiplied by
SQRT( underflow threshold ). - A matrix of the form
U* D U, whereUis unitary andDhas evenly spaced entries1, ..., ULPwith random signs on the diagonal. - A matrix of the form
U* D U, whereUis unitary andDhas geometrically spaced entries1, ..., ULPwith random signs on the diagonal. - A matrix of the form
U* D U, whereUis unitary andDhas entries1, ULP,..., ULPwith random signs on the diagonal. - Same as (8), but multiplied by
SQRT( overflow threshold ). - Same as (8), but multiplied by
SQRT( underflow threshold ). - Symmetric matrix with random entries chosen from
(-1,1). - Same as (13), but multiplied by
SQRT( overflow threshold ). - Same as (13), but multiplied by
SQRT( underflow threshold ). - A band matrix with half bandwidth randomly chosen between
0andN-1, with evenly spaced eigenvalues1, ..., ULPwith random signs. - Same as (16), but multiplied by
SQRT( overflow threshold ). - Same as (16), but multiplied by
SQRT( underflow threshold ).
eighteen whole matrix types, she really said "we're testing everything" ππ
and that's where this part wraps β there's more coming, don't go anywhere π
NSIZESβINTEGER. The number of sizes of matrices to use. If itβs zero,ZDRVST2STGdoes nothing. It must be at least zero. Not modified.NNβINTEGERarray, 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. Not modified.NTYPESβINTEGER. The number of elements inDOTYPE. If itβs zero,ZDRVST2STGdoes nothing. It must be at least zero. If it isMAXTYP+1andNSIZESis 1, then an additional type,MAXTYP+1, is defined β and that one means βuse whatever matrix is inA.β This is only useful ifDOTYPE(1:MAXTYP)is.FALSE.andDOTYPE(MAXTYP+1)is.TRUE.. Not modified.DOTYPEβLOGICALarray, dimension(NTYPES). 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.ISEEDβINTEGERarray, dimension(4). On entry,ISEEDspecifies 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 ofISEEDare changed on exit, and can be used in the next call toZDRVST2STGto continue the same random number sequence. Modified.THRESHβDOUBLE PRECISION. A test will count as [blank] if the [blank], computed as described above, exceedsTHRESH. Note that the error is scaled to beO(1), soTHRESHshould 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. Not modified.NOUNITβINTEGER. TheFORTRANunit number for printing out error messages (e.g., if a routine returnsIINFOnot equal to 0.) Not modified.AβCOMPLEX*16array, dimension(LDA , max(NN)). Used to hold the matrix whose eigenvalues are to be computed. On exit,Acontains the last matrix actually used. Modified.LDAβINTEGER. The leading dimension ofA. It must be at least 1 and at leastmax( NN ). Not modified.D1βDOUBLE PRECISIONarray, dimension(max(NN)). The eigenvalues ofA, as computed byZSTEQRsimultaneously withZ. On exit, the eigenvalues inD1correspond with the matrix inA. Modified.D2βDOUBLE PRECISIONarray, dimension(max(NN)). The eigenvalues ofA, as computed byZSTEQRifZis not computed. On exit, the eigenvalues inD2correspond with the matrix inA. Modified.D3βDOUBLE PRECISIONarray, dimension(max(NN)). The eigenvalues ofA, as computed byDSTERF. On exit, the eigenvalues inD3correspond with the matrix inA. Modified.WA1βDOUBLE PRECISIONarray, dimension.WA2βDOUBLE PRECISIONarray, dimension.WA3βDOUBLE PRECISIONarray, dimension.UβCOMPLEX*16array, dimension(LDU, max(NN)). The unitary matrix computed byZHETRD+ZUNGC3. Modified.LDUβINTEGER. The leading dimension ofU,Z, andV. It must be at least 1 and at leastmax( NN ). Not modified.VβCOMPLEX*16array, dimension(LDU, max(NN)). TheHousholdervectors computed byZHETRDin reducingAto tridiagonal form. Modified.TAUβCOMPLEX*16array, dimension(max(NN)). The Householder factors computed byZHETRDin reducingAto tridiagonal form. Modified.ZβCOMPLEX*16array, dimension(LDU, max(NN)). The unitary matrix of eigenvectors computed byZHEEVD,ZHEEVX,ZHPEVD,CHPEVX,ZHBEVD, andCHBEVX. Modified.WORKβCOMPLEX*16array of dimension( LWORK ). Workspace. Modified.LWORKβINTEGER. The number of entries inWORK. This must be at least2*max( NN(j), 2 )**2. Not modified.RWORKβDOUBLE PRECISIONarray, dimension(3*max(NN)). Workspace. Modified.LRWORKβINTEGER. The number of entries inRWORK.IWORKβINTEGERarray, dimension(6*max(NN)). Workspace. Modified.LIWORKβINTEGER. The number of entries inIWORK.RESULTβDOUBLE PRECISIONarray, dimension(??). The values computed by the tests described above. The values are currently limited to1/ulp, to avoid overflow. Modified.INFOβINTEGER. If 0, 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. IfDLATMR,SLATMS,ZHETRD,DORGC3,ZSTEQR,DSTERF, orDORMC2returns an error code, the absolute value of it is returned. Modified.
β¨ Some Local Variables and Parameters β¨
ZERO,ONEβ Real 0 and 1.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: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) ))
Author π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
Definition at line 334 of file zdrvst2stg.f.
Author π€
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