SDRVST2STG(3)
π SDRVST2STG(3) β Library Functions Manual energy β¨
okay so bestie, we are literally in the Library Functions Manual and this page is all about SDRVST2STG. The source file is:
/home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/TESTING/EIG/sdrvst2stg.f
that path is giving βmain character with a very long government name,β ngl π
πΈ NAME πΈ
/home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/TESTING/EIG/sdrvst2stg.f
periodt, thatβs the nameπ«Ά
β¨ SYNOPSIS β¨
π Functions/Subroutines π
subroutine SDRVST2STG (nsizes, nn, ntypes, dotype, iseed, thresh,
nounit, a, lda, d1, d2, d3, d4, eveigs, wa1, wa2, wa3, u, ldu, v,
tau, z, work, lwork, iwork, liwork, result, info)
SDRVST2STG
π¦ Function/Subroutine Documentation π¦
π
subroutine SDRVST2STG
hereβs the full typed-out signature, bestie β every argument is staying exactly where it belongs, lowkey iconic:
subroutine SDRVST2STG (integer nsizes, integer, dimension( * ) nn, integer
ntypes, logical, dimension( * ) dotype, integer, dimension( 4 ) iseed,
real thresh, integer nounit, real, dimension( lda, * ) a, integer lda,
real, dimension( * ) d1, real, dimension( * ) d2, real, dimension( * )
d3, real, dimension( * ) d4, real, dimension( * ) eveigs, real,
dimension( * ) wa1, real, dimension( * ) wa2, real, dimension( * ) wa3,
real, dimension( ldu, * ) u, integer ldu, real, dimension( ldu, * ) v,
real, dimension( * ) tau, real, dimension( ldu, * ) z, real, dimension(
* ) work, integer lwork, integer, dimension( * ) iwork, integer liwork,
real, dimension( * ) result, integer info)
SDRVST2STG
π Purpose π
SDRVST2STG checks the symmetric eigenvalue problem drivers. like, it is the vibe check for a whole lineup of driver routines, and the lineup is:
SSTEVβ computes all eigenvalues and, optionally, eigenvectors of a real symmetric tridiagonal matrix.SSTEVXβ computes selected eigenvalues and, optionally, eigenvectors of a real symmetric tridiagonal matrix.SSTEVRβ computes selected eigenvalues and, optionally, eigenvectors of a real symmetric tridiagonal matrix using the Relatively Robust Representation where it can.SSYEVβ computes all eigenvalues and, optionally, eigenvectors of a real symmetric matrix.SSYEVXβ computes selected eigenvalues and, optionally, eigenvectors of a real symmetric matrix.SSYEVRβ computes selected eigenvalues and, optionally, eigenvectors of a real symmetric matrix using the Relatively Robust Representation where it can.SSPEVβ computes all eigenvalues and, optionally, eigenvectors of a real symmetric matrix in packed storage.SSPEVXβ computes selected eigenvalues and, optionally, eigenvectors of a real symmetric matrix in packed storage.SSBEVβ computes all eigenvalues and, optionally, eigenvectors of a real symmetric band matrix.SSBEVXβ computes selected eigenvalues and, optionally, eigenvectors of a real symmetric band matrix.SSYEVDβ computes all eigenvalues and, optionally, eigenvectors of a real symmetric matrix using a divide and conquer algorithm.SSPEVDβ computes all eigenvalues and, optionally, eigenvectors of a real symmetric matrix in packed storage, using a divide and conquer algorithm.SSBEVDβ computes all eigenvalues and, optionally, eigenvectors of a real symmetric band matrix, using a divide and conquer algorithm.
When SDRVST2STG is called, a number of matrix sizes (NSIZES) and a number of matrix types (NTYPES) are specified. For each size (NSIZES) 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 eigenvalues
1, ..., ULPand random signs. (ULP = (first number larger than 1) - 1) - A diagonal matrix with geometrically spaced eigenvalues
1, ..., ULPand random signs. - A diagonal matrix with
Neigenvalues1, 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 orthogonal andDhas evenly spaced entries1, ..., ULPwith random signs on the diagonal. - A matrix of the form
U' D U, whereUis orthogonal andDhas geometrically spaced entries1, ..., ULPwith random signs on the diagonal. - A matrix of the form
U' D U, whereUis orthogonal andDhasNentries1, 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 is zero,SDRVST2STGdoes nothing. It must be at least zero. Not modified. πNNβINTEGER 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. Not modified. β¨NTYPESβINTEGER. The number of elements inDOTYPE. If it is zero,SDRVST2STGdoes nothing. It must be at least zero. If it isMAXTYP+1andNSIZESis1, then an additional 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. πDOTYPEβLOGICAL 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. π¦ISEEDβINTEGER array, dimension (4). 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 toSDRVST2STGto continue the same random number sequence. Modified. π₯THRESHβREAL. A test will count as β yes, the original leaves this word blank β if the β also blank β, 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. πNOUNITβINTEGER. The FORTRAN unit number for printing out error messages (e.g., if a routine returnsIINFOnot equal to0.) Not modified. πΈAβREAL 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. πLDAβINTEGER. The leading dimension ofA. It must be at least1and at leastmax( NN ). Not modified. β¨D1βREAL array, dimension (max(NN)). The eigenvalues ofA, as computed bySSTEQRsimultaneously withZ. On exit, the eigenvalues inD1correspond with the matrix inA. Modified. πD2βREAL array, dimension (max(NN)). The eigenvalues ofA, as computed bySSTEQRifZis not computed. On exit, the eigenvalues inD2correspond with the matrix inA. Modified. πD3βREAL array, dimension (max(NN)). The eigenvalues ofA, as computed bySSTERF. On exit, the eigenvalues inD3correspond with the matrix inA. Modified. πD4βREAL array, dimensionβ and that is literally where the original stops, bestie. No cap.EVEIGSβREAL array, dimension (max(NN)). The eigenvalues as computed bySSTEV('N', ... )(I reserve the right to change this to the output of whichever algorithm computes the most accurate eigenvalues). πWA1βREAL array, dimensionβ again, the page just saysdimensionand moves on. πWA2βREAL array, dimensionβ same energy. πWA3βREAL array, dimensionβ same energy, part three. πUβREAL array, dimension (LDU, max(NN)). The orthogonal matrix computed bySSYTRD+SORGTR. Modified. π§LDUβINTEGER. The leading dimension ofU,Z, andV. It must be at least1and at leastmax( NN ). Not modified. πVβREAL array, dimension (LDU, max(NN)). TheHousholdervectors β spelling exactly as the page gives it, no shade β computed bySSYTRDin reducingAto tridiagonal form. Modified. π¦TAUβREAL array, dimension (max(NN)). The Householder factors computed bySSYTRDin reducingAto tridiagonal form. Modified. βZβREAL array, dimension (LDU, max(NN)). The orthogonal matrix of eigenvectors computed bySSTEQR,SPTEQR, andSSTEIN. Modified. πWORKβREAL array, dimension (LWORK). Workspace. Modified. π«ΆLWORKβINTEGER. The number of entries inWORK. This must be at least1 + 4 * Nmax + 2 * Nmax * lg Nmax + 4 * Nmax**2whereNmax = max( NN(j), 2 )andlg = log base 2. Not modified. π₯IWORKβINTEGER array, dimension (6 + 6*Nmax + 5 * Nmax * lg Nmax )whereNmax = max( NN(j), 2 )andlg = log base 2. Workspace. Modified. πRESULTβREAL array, dimension (105). The values computed by the tests described above. The values are currently limited to1/ulp, to avoid overflow. Modified. πINFOβINTEGER. If0, then everything ran OK.-1:NSIZES < 0-2:Some NN(j) < 0-3:NTYPES < 0-5:THRESH < 0-9:LDA < 1 or LDA < NMAX, where NMAX is max( NN(j) ).-16:LDU < 1 or LDU < NMAX.-21:LWORK too small.IfSLATMR,SLATMS,SSYTRD,SORGTR,SSTEQR,SSTERF, orSORMTRreturns an error code, the absolute value of it is returned. Modified. π
π§ Some Local Variables and Parameters:
ZERO,ONEβ Real0and1. β¨MAXTYPβ The number of types defined. πNTESTβ The number of tests performed, or which can be performed so far, for the current matrix. πNTESTTβ The total number of tests performed so far. πNMAXβ Largest value inNN. π₯NMATSβ The number of matrices generated so far. π¦NERRSβ The number of tests which have exceededTHRESHso far (computed bySLAFTS). πCOND,IMODEβ Values to be passed to the matrix generators. πΈANORMβ Norm ofA; passed to matrix generators. βOVFL,UNFLβ Overflow and underflow thresholds. πULP,ULPINVβ Finest relative precision and its inverse. πRTOVFL,RTUNFLβ Square roots of the previous 2 values. π§
The following four arrays decode JTYPE: β yes, the original says four and then lists three, and we are keeping the facts exactly as they are:
KTYPE(j)β The general type (1-10) for type . π«ΆKMODE(j)β TheMODEvalue to be passed to the matrix generator for type . π«ΆKMAGN(j)β The order of magnitude (O(1),O(overflow^(1/2) ),O(underflow^(1/2) )π«Ά
The tests performed are: Routine tested π
| A - U S U' | / ( |A| n ulp )β routine tested:SSTEV('V', ... )| I - U U' | / ( n ulp )β routine tested:SSTEV('V', ... )|D(with Z) - D(w/o Z)| / (|D| ulp)β routine tested:SSTEV('N', ... )| A - U S U' | / ( |A| n ulp )β routine tested:SSTEVX('V','A', ... )| I - U U' | / ( n ulp )β routine tested:SSTEVX('V','A', ... )|D(with Z) - EVEIGS| / (|D| ulp)β routine tested:SSTEVX('N','A', ... )| A - U S U' | / ( |A| n ulp )β routine tested:SSTEVR('V','A', ... )| I - U U' | / ( n ulp )β routine tested:SSTEVR('V','A', ... )|D(with Z) - EVEIGS| / (|D| ulp)β routine tested:SSTEVR('N','A', ... )| A - U S U' | / ( |A| n ulp )β routine tested:SSTEVX('V','I', ... )| I - U U' | / ( n ulp )β routine tested:SSTEVX('V','I', ... )|D(with Z) - D(w/o Z)| / (|D| ulp)β routine tested:SSTEVX('N','I', ... )| A - U S U' | / ( |A| n ulp )β routine tested:SSTEVX('V','V', ... )| I - U U' | / ( n ulp )β routine tested:SSTEVX('V','V', ... )|D(with Z) - D(w/o Z)| / (|D| ulp)β routine tested:SSTEVX('N','V', ... )| A - U S U' | / ( |A| n ulp )β routine tested:SSTEVD('V', ... )| I - U U' | / ( n ulp )β routine tested:SSTEVD('V', ... )|D(with Z) - EVEIGS| / (|D| ulp)β routine tested:SSTEVD('N', ... )| A - U S U' | / ( |A| n ulp )β routine tested:SSTEVR('V','I', ... )| I - U U' | / ( n ulp )β routine tested:SSTEVR('V','I', ... )|D(with Z) - D(w/o Z)| / (|D| ulp)β routine tested:SSTEVR('N','I', ... )| A - U S U' | / ( |A| n ulp )β routine tested:SSTEVR('V','V', ... )| I - U U' | / ( n ulp )β routine tested:SSTEVR('V','V', ... )|D(with Z) - D(w/o Z)| / (|D| ulp)β routine tested:SSTEVR('N','V', ... )| A - U S U' | / ( |A| n ulp )β routine tested:SSYEV('L','V', ... )| I - U U' | / ( n ulp )β routine tested:SSYEV('L','V', ... )|D(with Z) - D(w/o Z)| / (|D| ulp)β routine tested:SSYEV_2STAGE('L','N', ... )| A - U S U' | / ( |A| n ulp )β routine tested:SSYEVX('L','V','A', ... )
okay bestie, we're back in the test list and it's giving β¨extremely thoroughβ¨ β picking up right at test 29, no cap, every line preserved exactly:
!> 29= | I - U U' | / ( n ulp ) SSYEVX('L','V','A', ... )
!> 30= |D(with Z) - D(w/o Z)| / (|D| ulp) SSYEVX_2STAGE('L','N','A', ... )
!> 31= | A - U S U' | / ( |A| n ulp ) SSYEVX('L','V','I', ... )
!> 32= | I - U U' | / ( n ulp ) SSYEVX('L','V','I', ... )
!> 33= |D(with Z) - D(w/o Z)| / (|D| ulp) SSYEVX_2STAGE('L','N','I', ... )
!> 34= | A - U S U' | / ( |A| n ulp ) SSYEVX('L','V','V', ... )
!> 35= | I - U U' | / ( n ulp ) SSYEVX('L','V','V', ... )
!> 36= |D(with Z) - D(w/o Z)| / (|D| ulp) SSYEVX_2STAGE('L','N','V', ... )
!> 37= | A - U S U' | / ( |A| n ulp ) SSPEV('L','V', ... )
!> 38= | I - U U' | / ( n ulp ) SSPEV('L','V', ... )
!> 39= |D(with Z) - D(w/o Z)| / (|D| ulp) SSPEV('L','N', ... )
!> 40= | A - U S U' | / ( |A| n ulp ) SSPEVX('L','V','A', ... )
!> 41= | I - U U' | / ( n ulp ) SSPEVX('L','V','A', ... )
!> 42= |D(with Z) - D(w/o Z)| / (|D| ulp) SSPEVX('L','N','A', ... )
!> 43= | A - U S U' | / ( |A| n ulp ) SSPEVX('L','V','I', ... )
!> 44= | I - U U' | / ( n ulp ) SSPEVX('L','V','I', ... )
!> 45= |D(with Z) - D(w/o Z)| / (|D| ulp) SSPEVX('L','N','I', ... )
!> 46= | A - U S U' | / ( |A| n ulp ) SSPEVX('L','V','V', ... )
!> 47= | I - U U' | / ( n ulp ) SSPEVX('L','V','V', ... )
!> 48= |D(with Z) - D(w/o Z)| / (|D| ulp) SSPEVX('L','N','V', ... )
!> 49= | A - U S U' | / ( |A| n ulp ) SSBEV('L','V', ... )
!> 50= | I - U U' | / ( n ulp ) SSBEV('L','V', ... )
!> 51= |D(with Z) - D(w/o Z)| / (|D| ulp) SSBEV_2STAGE('L','N', ... )
!> 52= | A - U S U' | / ( |A| n ulp ) SSBEVX('L','V','A', ... )
!> 53= | I - U U' | / ( n ulp ) SSBEVX('L','V','A', ... )
!> 54= |D(with Z) - D(w/o Z)| / (|D| ulp) SSBEVX_2STAGE('L','N','A', ... )
!> 55= | A - U S U' | / ( |A| n ulp ) SSBEVX('L','V','I', ... )
!> 56= | I - U U' | / ( n ulp ) SSBEVX('L','V','I', ... )
!> 57= |D(with Z) - D(w/o Z)| / (|D| ulp) SSBEVX_2STAGE('L','N','I', ... )
!> 58= | A - U S U' | / ( |A| n ulp ) SSBEVX('L','V','V', ... )
!> 59= | I - U U' | / ( n ulp ) SSBEVX('L','V','V', ... )
!> 60= |D(with Z) - D(w/o Z)| / (|D| ulp) SSBEVX_2STAGE('L','N','V', ... )
!> 61= | A - U S U' | / ( |A| n ulp ) SSYEVD('L','V', ... )
!> 62= | I - U U' | / ( n ulp ) SSYEVD('L','V', ... )
!> 63= |D(with Z) - D(w/o Z)| / (|D| ulp) SSYEVD_2STAGE('L','N', ... )
!> 64= | A - U S U' | / ( |A| n ulp ) SSPEVD('L','V', ... )
!> 65= | I - U U' | / ( n ulp ) SSPEVD('L','V', ... )
!> 66= |D(with Z) - D(w/o Z)| / (|D| ulp) SSPEVD('L','N', ... )
!> 67= | A - U S U' | / ( |A| n ulp ) SSBEVD('L','V', ... )
!> 68= | I - U U' | / ( n ulp ) SSBEVD('L','V', ... )
!> 69= |D(with Z) - D(w/o Z)| / (|D| ulp) SSBEVD_2STAGE('L','N', ... )
!> 70= | A - U S U' | / ( |A| n ulp ) SSYEVR('L','V','A', ... )
!> 71= | I - U U' | / ( n ulp ) SSYEVR('L','V','A', ... )
!> 72= |D(with Z) - D(w/o Z)| / (|D| ulp) SSYEVR_2STAGE('L','N','A', ... )
!> 73= | A - U S U' | / ( |A| n ulp ) SSYEVR('L','V','I', ... )
!> 74= | I - U U' | / ( n ulp ) SSYEVR('L','V','I', ... )
!> 75= |D(with Z) - D(w/o Z)| / (|D| ulp) SSYEVR_2STAGE('L','N','I', ... )
!> 76= | A - U S U' | / ( |A| n ulp ) SSYEVR('L','V','V', ... )
!> 77= | I - U U' | / ( n ulp ) SSYEVR('L','V','V', ... )
!> 78= |D(with Z) - D(w/o Z)| / (|D| ulp) SSYEVR_2STAGE('L','N','V', ... )
!>
!> Tests 25 through 78 are repeated (as tests 79 through 132)
!> with UPLO='U'
!>
!> To be added in 1999
!>
!> 79= | A - U S U' | / ( |A| n ulp ) SSPEVR('L','V','A', ... )
!> 80= | I - U U' | / ( n ulp ) SSPEVR('L','V','A', ... )
!> 81= |D(with Z) - D(w/o Z)| / (|D| ulp) SSPEVR('L','N','A', ... )
!> 82= | A - U S U' | / ( |A| n ulp ) SSPEVR('L','V','I', ... )
!> 83= | I - U U' | / ( n ulp ) SSPEVR('L','V','I', ... )
!> 84= |D(with Z) - D(w/o Z)| / (|D| ulp) SSPEVR('L','N','I', ... )
!> 85= | A - U S U' | / ( |A| n ulp ) SSPEVR('L','V','V', ... )
!> 86= | I - U U' | / ( n ulp ) SSPEVR('L','V','V', ... )
!> 87= |D(with Z) - D(w/o Z)| / (|D| ulp) SSPEVR('L','N','V', ... )
!> 88= | A - U S U' | / ( |A| n ulp ) SSBEVR('L','V','A', ... )
!> 89= | I - U U' | / ( n ulp ) SSBEVR('L','V','A', ... )
!> 90= |D(with Z) - D(w/o Z)| / (|D| ulp) SSBEVR('L','N','A', ... )
!> 91= | A - U S U' | / ( |A| n ulp ) SSBEVR('L','V','I', ... )
!> 92= | I - U U' | / ( n ulp ) SSBEVR('L','V','I', ... )
!> 93= |D(with Z) - D(w/o Z)| / (|D| ulp) SSBEVR('L','N','I', ... )
!> 94= | A - U S U' | / ( |A| n ulp ) SSBEVR('L','V','V', ... )
!> 95= | I - U U' | / ( n ulp ) SSBEVR('L','V','V', ... )
!> 96= |D(with Z) - D(w/o Z)| / (|D| ulp) SSBEVR('L','N','V', ... )
!>
the way this list just keeps going? iconic behavior honestly π
and yes, the whole note about tests 25 through 78 repeating as 79 through 132 with UPLO='U', plus the "To be added in 1999" line, are all still there β untouched, exactly as written. periodt.
Author π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
Definition at line 449 of file sdrvst2stg.f.
Author (auto-generated edition) π§
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