TESTING/EIG/cdrvst.f(3)
π TESTING/EIG/cdrvst.f(3) π
Okay bestie, this is the TESTING/EIG/cdrvst.f page from the Library Functions Manual, and it is highkey iconic because it's all about CDRVST checking the Hermitian eigenvalue problem drivers. No cap. β¨
πΈ NAME πΈ
TESTING/EIG/cdrvst.f
β¨ SYNOPSIS β¨
Functions/Subroutines
subroutine cdrvst (...)β the whole signature is right here, so copy it exactly, bestie:
subroutine cdrvst (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)
CDRVSTβ that's the name, and yes it's giving main character energy. π
π Function/Subroutine Documentation π
π§ subroutine cdrvst π§
subroutine cdrvst (integer nsizes, integer, dimension( * ) nn, integer
ntypes, logical, dimension( * ) dotype, integer, dimension( 4 ) iseed,
real thresh, integer nounit, complex, dimension( lda, * ) a, integer
lda, real, dimension( * ) d1, real, dimension( * ) d2, real, dimension(
* ) d3, real, dimension( * ) wa1, real, dimension( * ) wa2, real,
dimension( * ) wa3, complex, dimension( ldu, * ) u, integer ldu,
complex, dimension( ldu, * ) v, complex, dimension( * ) tau, complex,
dimension( ldu, * ) z, complex, dimension( * ) work, integer lwork,
real, dimension( * ) rwork, integer lrwork, integer, dimension( * )
iwork, integer liwork, real, dimension( * ) result, integer info)
CDRVST
Purpose π
CDRVST checks the Hermitian eigenvalue problem drivers. Basically it's the vibe check for these routines:
CHEEVDcomputes all eigenvalues and, optionally, eigenvectors of a complex Hermitian matrix, using a divide-and-conquer algorithm.CHEEVXcomputes selected eigenvalues and, optionally, eigenvectors of a complex Hermitian matrix.CHEEVRcomputes selected eigenvalues and, optionally, eigenvectors of a complex Hermitian matrix using the Relatively Robust Representation where it can.CHPEVDcomputes all eigenvalues and, optionally, eigenvectors of a complex Hermitian matrix in packed storage, using a divide-and-conquer algorithm.CHPEVXcomputes selected eigenvalues and, optionally, eigenvectors of a complex Hermitian matrix in packed storage.CHBEVDcomputes all eigenvalues and, optionally, eigenvectors of a complex Hermitian band matrix, using a divide-and-conquer algorithm.CHBEVXcomputes selected eigenvalues and, optionally, eigenvectors of a complex Hermitian band matrix.CHEEVcomputes all eigenvalues and, optionally, eigenvectors of a complex Hermitian matrix.CHPEVcomputes all eigenvalues and, optionally, eigenvectors of a complex Hermitian matrix in packed storage.CHBEVcomputes all eigenvalues and, optionally, eigenvectors of a complex Hermitian band matrix.
When CDRVST 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 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.
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 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 ).
NSIZESβINTEGER. The number of sizes of matrices to use. If it's zero,CDRVSTdoes nothing. It must be at least zero. Not modified.NNβINTEGER array, dimension (NSIZES). An array holding the sizes to use for the matrices. Zero values will be skipped. The values must be at least zero. Not modified.NTYPESβINTEGER. The number of elements inDOTYPE. If it's zero,CDRVSTdoes nothing. It must be at least zero. If it'sMAXTYP+1andNSIZESis 1, then an extra type,MAXTYP+1, is 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.DOTYPEβLOGICAL array, 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.ISEEDβINTEGER array, dimension (4). On entryISEEDspecifies 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 toCDRVSTto continue the same random number sequence. Modified.THRESHβREAL. A test will count as [blank] if the [blank], computed as described above, exceedsTHRESH. (Yes, the original has blanks there, bestie π β I'm not making it up.) 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. The FORTRAN unit number for printing out error messages (e.g., if a routine returnsIINFOnot equal to 0.) Not modified.AβCOMPLEX array, 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.D1βREAL array, dimension (max(NN)). The eigenvalues ofA, as computed byCSTEQRsimultaneously withZ. On exit, the eigenvalues inD1correspond with the matrix inA. Modified.D2βREAL array, dimension (max(NN)). The eigenvalues ofA, as computed byCSTEQRifZis not computed. On exit, the eigenvalues inD2correspond with the matrix inA. Modified.D3βREAL array, dimension (max(NN)). The eigenvalues ofA, as computed bySSTERF. On exit, the eigenvalues inD3correspond with the matrix inA. Modified.WA1βREAL array, dimension. (That's it. No dimension given. The original just leaves it hanging. π)WA2βREAL array, dimension. (Same vibe.)WA3βREAL array, dimension. (Same.)UβCOMPLEX array, dimension (LDU, max(NN)). The unitary matrix computed byCHETRD + CUNGC3. Modified.LDUβINTEGER. The leading dimension ofU,Z, andV. It must be at least 1 and at leastmax( NN ). Not modified.VβCOMPLEX array, dimension (LDU, max(NN)). The Housholder vectors (sic, one 'e' β original's spelling, not mine π) computed byCHETRDin reducingAto tridiagonal form. Modified.TAUβCOMPLEX array, dimension (max(NN)). The Householder factors computed byCHETRDin reducingAto tridiagonal form. Modified.ZβCOMPLEX array, dimension (LDU, max(NN)). The unitary matrix of eigenvectors computed byCHEEVD,CHEEVX,CHPEVD,CHPEVX,CHBEVD, andCHBEVX. Modified.WORKβCOMPLEX array of dimension ( LWORK ). Workspace. Modified.LWORKβINTEGER. The number of entries inWORK. This must be at least2*max( NN(j), 2 )**2. Not modified.RWORKβREAL array, dimension (3*max(NN)). Workspace. Modified.LRWORKβINTEGER. The number of entries inRWORK. (No modified note, because the original didn't give one. π)IWORKβINTEGER array, dimension (6*max(NN)). Workspace. Modified.LIWORKβINTEGER. The number of entries inIWORK. (Again, no modified note in the original.)RESULTβREAL array, 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. The error codes are:-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. IfSLATMR,SLATMS,CHETRD,SORGC3,CSTEQR,SSTERF, orSORMC2returns 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 bySLAFTS).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: (and yes, it says four but lists three β iconic inconsistency π)KTYPE(j)β The general type (1-10) for type . (The original has a blank after "type" β leaving it exactly as it landed.)KMODE(j)β TheMODEvalue to be passed to the matrix generator for type . (Another blank. Slay.)KMAGN(j)β The order of magnitude (O(1),O(overflow^(1/2) ),O(underflow^(1/2) ))
π«Ά Author π«Ά
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
π Definition π
Definition at line 334 of file cdrvst.f.
Author (again) π
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