TESTING/EIG/dchkbb.f(3)
okay so this page is from TESTING/EIG/dchkbb.f(3) in the Library Functions Manual, and the file itself is TESTING/EIG/dchkbb.f. Buckle up, bestie π
β¨
π NAME π
TESTING/EIG/dchkbb.f
β¨ SYNOPSIS β¨
Functions/Subroutines:
subroutine dchkbb (nsizes, mval, nval, nwdths, kk, ntypes, dotype, nrhs,
iseed, thresh, nounit, a, lda, ab, ldab, bd, be, q, ldq, p, ldp, c,
ldc, cc, work, lwork, result, info)
DCHKBB
π§ Function/Subroutine Documentation π§
Here's the subroutine in its full typed-out glory, no cap:
subroutine dchkbb (integer nsizes, integer, dimension( * ) mval, integer,
dimension( * ) nval, integer nwdths, integer, dimension( * ) kk, integer
ntypes, logical, dimension( * ) dotype, integer nrhs, integer,
dimension( 4 ) iseed, double precision thresh, integer nounit, double
precision, dimension( lda, * ) a, integer lda, double precision,
dimension( ldab, * ) ab, integer ldab, double precision, dimension( * )
bd, double precision, dimension( * ) be, double precision, dimension(
ldq, * ) q, integer ldq, double precision, dimension( ldp, * ) p,
integer ldp, double precision, dimension( ldc, * ) c, integer ldc,
double precision, dimension( ldc, * ) cc, double precision, dimension( *
) work, integer lwork, double precision, dimension( * ) result, integer
info)
DCHKBB
DCHKBB π
πΈ Purpose πΈ
DCHKBB tests the reduction of a general real rectangular band matrix to bidiagonal form. Periodt. π
DGBBRD factors a general band matrix A as Q B P*, where * means transpose, B is upper bidiagonal, and Q and P are orthogonal; DGBBRD can also overwrite a given matrix C with Q* C.
For each pair of matrix dimensions (M,N) and each selected matrix type, an M by N matrix A and an M by NRHS matrix C are generated. The problem dimensions are as follows:
A:M x NQ:M x MP:N x NB:min(M,N) x min(M,N)C:M x NRHS
For each generated matrix, 4 tests are performed:
| A - Q B PT | / ( |A| max(M,N) ulp ), PT = P'| I - Q' Q | / ( M ulp )| I - PT PT' | / ( N ulp )| Y - Q' C | / ( |Y| max(M,NRHS) ulp ), where Y = Q' C.
These are specified by a logical array DOTYPE( 1:NTYPES ); if DOTYPE(j) is .TRUE., then that matrix type will be generated. Currently, the list of possible types is:
The possible matrix types are:
- 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
(3), but multiplied bySQRT( overflow threshold ) - Same as
(3), but multiplied bySQRT( underflow threshold ) - A matrix of the form
U D V, whereUandVare orthogonal andDhas evenly spaced entries1, ..., ULPwith random signs on the diagonal. - A matrix of the form
U D V, whereUandVare orthogonal andDhas geometrically spaced entries1, ..., ULPwith random signs on the diagonal. - A matrix of the form
U D V, whereUandVare orthogonal andDhas entries1, ULP,..., ULPwith random signs on the diagonal. - Same as
(8), but multiplied bySQRT( overflow threshold ) - Same as
(8), but multiplied bySQRT( underflow threshold ) - Rectangular matrix with random entries chosen from
(-1,1). - Same as
(13), but multiplied bySQRT( overflow threshold ) - Same as
(13), but multiplied bySQRT( underflow threshold )
π Parameters π
NSIZESβNSIZESisINTEGER. The number of values ofMandNcontained in the vectorsMVALandNVAL. The matrix sizes are used in pairs(M,N). IfNSIZESis zero,DCHKBBdoes nothing.NSIZESmust be at least zero. π«ΆMVALβMVALisINTEGERarray, dimension(NSIZES). The values of the matrix row dimensionM.NVALβNVALisINTEGERarray, dimension(NSIZES). The values of the matrix column dimensionN.NWDTHSβNWDTHSisINTEGER. The number of bandwidths to use. If it is zero,DCHKBBdoes nothing. It must be at least zero.KKβKKisINTEGERarray, dimension(NWDTHS). An array containing the bandwidths to be used for the band matrices. The values must be at least zero.NTYPESβNTYPESisINTEGER. The number of elements inDOTYPE. If it is zero,DCHKBBdoes 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..DOTYPEβDOTYPEisLOGICALarray, 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.NRHSβNRHSisINTEGER. The number of columns in the matrixC. IfNRHS = 0, then the operations on the right-hand side will not be tested.NRHSmust be at least0.ISEEDβISEEDisINTEGERarray, 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 toDCHKBBto continue the same random number sequence. πTHRESHβTHRESHisDOUBLE PRECISION. A test will count as a fail if the error, 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.NOUNITβNOUNITisINTEGER. TheFORTRANunit number for printing out error messages (e.g., if a routine returnsIINFOnot equal to0.)AβAisDOUBLE PRECISIONarray, dimension(LDA, max(NN)). Used to hold the matrixA.LDAβLDAisINTEGER. The leading dimension ofA. It must be at least1and at leastmax( NN ).ABβABisDOUBLE PRECISIONarray, dimension(LDAB, max(NN)). Used to holdAin band storage format.LDABβLDABisINTEGER. The leading dimension ofAB. It must be at least2(not1!) and at leastmax( KK )+1.BDβBDisDOUBLE PRECISIONarray, dimension(max(NN)). Used to hold the diagonal of the bidiagonal matrix computed byDGBBRD.BEβBEisDOUBLE PRECISIONarray, dimension(max(NN)). Used to hold the off-diagonal of the bidiagonal matrix computed byDGBBRD.QβQisDOUBLE PRECISIONarray, dimension(LDQ, max(NN)). Used to hold the orthogonal matrixQcomputed byDGBBRD.LDQβLDQisINTEGER. The leading dimension ofQ. It must be at least1and at leastmax( NN ).PβPisDOUBLE PRECISIONarray, dimension(LDP, max(NN)). Used to hold the orthogonal matrixPcomputed byDGBBRD.LDPβLDPisINTEGER. The leading dimension ofP. It must be at least1and at leastmax( NN ).CβCisDOUBLE PRECISIONarray, dimension(LDC, max(NN)). Used to hold the matrixCupdated byDGBBRD.LDCβLDCisINTEGER. The leading dimension ofUβ yes,U, bestie, that's literally what this page says π. It must be at least1and at leastmax( NN ).CCβCCisDOUBLE PRECISIONarray, dimension(LDC, max(NN)). Used to hold a copy of the matrixC.WORKβWORKisDOUBLE PRECISIONarray, dimension(LWORK).LWORKβLWORKisINTEGER. The number of entries inWORK. This must be at leastmax( LDA+1, max(NN)+1 )*max(NN).RESULTβRESULTisDOUBLE PRECISIONarray, dimension(4). The values computed by the tests described above. The values are currently limited to1/ulp, to avoid overflow.INFO
INFO is INTEGER β if itβs 0, then everything ran OK. Thatβs the whole vibe check, bestie: zero means success. β¨
π§Έ Some Local Variables and Parameters:
---- ----- --------- --- ---------- β yes, thatβs the originalβs little decorative underline moment, not a value. 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: (yes, the original says four and then lists these three β Iβm not fixing it, Iβm just delivering it exactly π)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) )
π Author
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
Definition at line 351 of file dchkbb.f.
πͺ Author
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