SCHKSB(3)

πŸ“¦ version 3.12.0, in opensuse-leap 16.0

πŸ’… schksb.f(3) β€” Library Functions Manual πŸ’…

okay bestie, you're in the Library Functions Manual and this page is all about schksb.f(3). It’s giving LAPACK testing routine energy, and we’re gonna walk through every single detail. no cap. ✨

🌸 NAME 🌸

/home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/TESTING/EIG/schksb.f

✨ SYNOPSIS ✨

Functions/Subroutines

subroutine SCHKSB (nsizes, nn, nwdths, kk, ntypes, dotype, iseed,
    thresh, nounit, a, lda, sd, se, u, ldu, work, lwork, result, info)

SCHKSB

πŸ’– Function/Subroutine Documentation πŸ’–

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

πŸ¦‹ Purpose πŸ¦‹

okay so SCHKSB tests the reduction of a symmetric band matrix to tridiagonal form, used with the symmetric eigenvalue problem. πŸ’…

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:

  1. | A - V S V' | / ( |A| n ulp ) computed by SSBTRD with UPLO='U'
  2. | I - UU' | / ( n ulp )
  3. | A - V S V' | / ( |A| n ulp ) computed by SSBTRD with UPLO='L'
  4. | 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:

  1. The zero matrix.
  2. The identity matrix.
  3. A diagonal matrix with evenly spaced entries 1, ..., ULP and random signs. (ULP = (first number larger than 1) - 1)
  4. A diagonal matrix with geometrically spaced entries 1, ..., ULP and random signs.
  5. A diagonal matrix with [blank in original] entries 1, ULP, ..., ULP and random signs.
  6. Same as (4), but multiplied by SQRT( overflow threshold )
  7. Same as (4), but multiplied by SQRT( underflow threshold )
  8. A matrix of the form U' D U, where U is orthogonal and D has evenly spaced entries 1, ..., ULP with random signs on the diagonal.
  9. A matrix of the form U' D U, where U is orthogonal and D has geometrically spaced entries 1, ..., ULP with random signs on the diagonal.
  10. A matrix of the form U' D U, where U is orthogonal and D has [blank in original] entries 1, ULP,..., ULP with random signs on the diagonal.
  11. Same as (8), but multiplied by SQRT( overflow threshold )
  12. Same as (8), but multiplied by SQRT( underflow threshold )
  13. Symmetric matrix with random entries chosen from (-1,1).
  14. Same as (13), but multiplied by SQRT( overflow threshold )
  15. Same as (13), but multiplied by SQRT( underflow threshold )

πŸŽ€ Parameters πŸŽ€

  • NSIZES β€” INTEGER. The number of sizes of matrices to use. If it is zero, SCHKSB does nothing. It must be at least zero.
  • NN β€” INTEGER 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.
  • NWDTHS β€” INTEGER. The number of bandwidths to use. If it is zero, SCHKSB does nothing. It must be at least zero.
  • KK β€” INTEGER array, dimension (NWDTHS). An array containing the bandwidths to be used for the band matrices. The values must be at least zero.
  • NTYPES β€” INTEGER. The number of elements in DOTYPE. If it is zero, SCHKSB does nothing. It must be at least zero. If it is MAXTYP+1 and NSIZES is 1, then an additional type, MAXTYP+1, is defined, which is to use whatever matrix is in A. This is only useful if DOTYPE(1:MAXTYP) is .FALSE. and DOTYPE(MAXTYP+1) is .TRUE..
  • DOTYPE β€” LOGICAL array, dimension (NTYPES). If DOTYPE(j) is .TRUE., then for each size in NN a matrix of that size and of type j will be generated. If NTYPES is smaller than the maximum number of types defined (PARAMETER MAXTYP), then types NTYPES+1 through MAXTYP will not be generated. If NTYPES is larger than MAXTYP, DOTYPE(MAXTYP+1) through DOTYPE(NTYPES) will be ignored.
  • ISEED β€” INTEGER array, dimension (4). On entry ISEED specifies 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 of ISEED are changed on exit, and can be used in the next call to SCHKSB to continue the same random number sequence.
  • THRESH β€” REAL. A test will count as [blank in original] if the [blank in original], computed as described above, exceeds THRESH. Note that the error is scaled to be O(1), so THRESH should 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.
  • NOUNIT β€” INTEGER. The FORTRAN unit number for printing out error messages (e.g., if a routine returns IINFO not equal to 0.)
  • A β€” REAL array, dimension (LDA, max(NN)). Used to hold the matrix whose eigenvalues are to be computed.
  • LDA β€” INTEGER. The leading dimension of A. It must be at least 2 (not 1!) and at least max( KK )+1.
  • SD β€” REAL array, dimension (max(NN)). Used to hold the diagonal of the tridiagonal matrix computed by SSBTRD.
  • SE β€” REAL array, dimension (max(NN)). Used to hold the off-diagonal of the tridiagonal matrix computed by SSBTRD.
  • U β€” REAL array, dimension (LDU, max(NN)). Used to hold the orthogonal matrix computed by SSBTRD.
  • LDU β€” INTEGER. The leading dimension of U. It must be at least 1 and at least max( NN ).
  • WORK β€” REAL array, dimension (LWORK).
  • LWORK β€” INTEGER. The number of entries in WORK. This must be at least max( LDA+1, max(NN)+1 )*max(NN).
  • RESULT β€” REAL array, dimension (4). The values computed by the tests described above. The values are currently limited to 1/ulp, to avoid overflow.
  • INFO β€” INTEGER. If 0, then everything ran OK.

🧚 Some Local Variables and Parameters 🧚

  • ZERO, ONE β€” Real 0 and 1.
  • MAXTYP β€” The number of types defined.
  • NTEST β€” The number of tests performed, or which can be performed so far, for the current matrix.
  • NTESTT β€” The total number of tests performed so far.
  • NMAX β€” Largest value in NN.
  • NMATS β€” The number of matrices generated so far.
  • NERRS β€” The number of tests which have exceeded THRESH so far.
  • COND, IMODE β€” Values to be passed to the matrix generators.
  • ANORM β€” Norm of A; passed to matrix generators.
  • OVFL, UNFL β€” Overflow and underflow thresholds.
  • ULP, ULPINV β€” Finest relative precision and its inverse.
  • RTOVFL, RTUNFL β€” 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€” The MODE value 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) ))

πŸ‘‘ Author πŸ‘‘

  • Univ. of Tennessee
  • Univ. of California Berkeley
  • Univ. of Colorado Denver
  • NAG Ltd.

Definition at line 290 of file schksb.f.

🌈 Author 🌈

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