SCHKSB(3)
π schksb.f(3) β Library Functions Manual π
okay bestie, you're in the Library Functions Manual and this page is all about schksb.f(3). Itβs giving LAPACK testing routine energy, and weβre gonna walk through every single detail. no cap. β¨
πΈ NAME πΈ
/home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/TESTING/EIG/schksb.f
β¨ SYNOPSIS β¨
Functions/Subroutines
subroutine SCHKSB (nsizes, nn, nwdths, kk, ntypes, dotype, iseed,
thresh, nounit, a, lda, sd, se, u, ldu, work, lwork, result, info)
SCHKSB
π Function/Subroutine Documentation π
subroutine SCHKSB
subroutine SCHKSB (integer nsizes, integer, dimension( * ) nn, integer
nwdths, integer, dimension( * ) kk, integer ntypes, logical, dimension(
* ) dotype, integer, dimension( 4 ) iseed, real thresh, integer nounit,
real, dimension( lda, * ) a, integer lda, real, dimension( * ) sd, real,
dimension( * ) se, real, dimension( ldu, * ) u, integer ldu, real,
dimension( * ) work, integer lwork, real, dimension( * ) result, integer
info)
SCHKSB
π¦ Purpose π¦
okay so SCHKSB tests the reduction of a symmetric band matrix to tridiagonal form, used with the symmetric eigenvalue problem. π
SSBTRD factors a symmetric band matrix A as U S U', where ' means transpose, S is symmetric tridiagonal, and U is orthogonal. SSBTRD can use either just the lower or just the upper triangle of A; SCHKSB checks both cases. iconic behavior, honestly.
When SCHKSB is called, a number of matrix () (the source page leaves this blank, bestie), a number of bandwidths (), and a number of matrix [blank in original] are specified. For each size (), each bandwidth () less than or equal to [blank in original], and each type of matrix, one matrix will be generated and used to test the symmetric banded reduction routine. For each matrix, a number of tests will be performed:
| A - V S V' | / ( |A| n ulp )computed bySSBTRDwithUPLO='U'| I - UU' | / ( n ulp )| A - V S V' | / ( |A| n ulp )computed bySSBTRDwithUPLO='L'| I - UU' | / ( n ulp )
The [blank in original] are specified by an array NN(1:NSIZES); the value of each element NN(j) specifies one size.
The [blank in original] are specified by a logical array DOTYPE( 1:NTYPES ); if DOTYPE(j) is .TRUE., then matrix type [blank in original] 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
[blank in original]entries1, 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 andDhas[blank in original]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 )
π Parameters π
NSIZESβINTEGER. The number of sizes of matrices to use. If it is zero,SCHKSBdoes nothing. It must be at least zero.NNβINTEGER 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.NWDTHSβINTEGER. The number of bandwidths to use. If it is zero,SCHKSBdoes nothing. It must be at least zero.KKβINTEGER array, dimension (NWDTHS). An array containing the bandwidths to be used for the band matrices. The values must be at least zero.NTYPESβINTEGER. The number of elements inDOTYPE. If it is zero,SCHKSBdoes 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..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.ISEEDβINTEGER array, dimension (4). On entryISEEDspecifies the seed of the random number generator. The array elements should be between0and4095; if not they will be reducedmod 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 toSCHKSBto continue the same random number sequence.THRESHβREAL. A test will count as[blank in original]if the[blank in original], 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.NOUNITβINTEGER. TheFORTRANunit number for printing out error messages (e.g., if a routine returnsIINFOnot equal to0.)AβREAL array, dimension(LDA, max(NN)). Used to hold the matrix whose eigenvalues are to be computed.LDAβINTEGER. The leading dimension ofA. It must be at least2(not1!) and at leastmax( KK )+1.SDβREAL array, dimension(max(NN)). Used to hold the diagonal of the tridiagonal matrix computed bySSBTRD.SEβREAL array, dimension(max(NN)). Used to hold the off-diagonal of the tridiagonal matrix computed bySSBTRD.UβREAL array, dimension(LDU, max(NN)). Used to hold the orthogonal matrix computed bySSBTRD.LDUβINTEGER. The leading dimension ofU. It must be at least1and at leastmax( NN ).WORKβREAL array, dimension(LWORK).LWORKβINTEGER. The number of entries inWORK. This must be at leastmax( LDA+1, max(NN)+1 )*max(NN).RESULTβREAL array, dimension(4). The values computed by the tests described above. The values are currently limited to1/ulp, to avoid overflow.INFOβINTEGER. If0, then everything ran OK.
π§ Some Local Variables and Parameters π§
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.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[blank in original].KMODE(j)β TheMODEvalue to be passed to the matrix generator for type[blank in original].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 290 of file schksb.f.
π Author π
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