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Dependency (basis set, fit set)
Conceivably the sizes
of basis and/or fit sets may be so large that the function sets become
almost linearly dependent. Numerical problems arise when this happens and results
get seriously affected (a strong indication that something is wrong is if the
core orbital energies are shifted significantly from their values in normal
basis sets). Although for the fit set a few (incomplete) tests are carried out,
the program will generally not check such aspects and carry on without noticing
that results may be unreliable.
A new feature has been implemented to take
care of this. For reasons of compatibility with previous versions and also
because our experience with it is limited so far, we have chosen to make
application of it not the default.
You have to activate it explicitly. Our
experience so far suggests that real problems only arise in case of large basis
sets with very diffuse functions (i.e.: not with the normal basis sets provided
in the standard package).
Use of the key DEPENDENCY turns
internal checks on and invokes countermeasures by the program when the
situation is suspect. A few technical (threshold-type) parameters can be
set as well, but this is not necessary, assuming that the defaults are
adequate.
DEPENDENCY {bas=tolbas} {eig=BigEig} {fit=tolfit}
tolbas
A criterion applied to the overlap matrix of unoccupied
normalized SFOs. Eigenvectors
corresponding to smaller eigenvalues are eliminated from the valence space.
Default value: 1e-4. Note: if you choose a very coarse value, you'll
remove too many degrees of freedom in the basis set, while if you choose it too
strict, the numerical problems may not be countered adequately.
BigEig
Merely a technical parameter. When the DEPENDENCY key is
activated, any rejected basis functions (i.e.: linear combinations that
correspond with small eigenvalues in the virtual SFOs overlap matrix) are normally processed until
diagonalization of the Fock matrix takes place. At that point, all matrix elements
corresponding to rejected functions are set to zero (off-diagonal) and BigEig (diagonal). Default: 1e8.
tolfit
Similar to tolbas. The criterion is now applied to the
overlap matrix of fit functions. The fit coefficients, which give the approximate expansion of the charge
density in terms of the fit functions (for the evaluation of the coulomb
potential) are set to zero for fit functions (i.e.: combinations of)
corresponding to small-eigenvalue eigenvectors of the fit overlap matrix.
Default 1e-10.
Notes:
- Application / adjustment of tolfit is not recommended: it will
seriously increase the cpu
usage while the dependency problems with the fit set are usually not so serious
anyway.
- Application of the dependency/tolbas feature
should not be done in an automatic way: one should test
and compare results obtained with different values: some systems look much more sensitive than others.
We have, so far, not been able to understand an unambiguous
pattern in these experiences.
Of course,
when things become clearer in this
respect, we will implement the corresponding intelligence into the program.
- When the dependency key
is used, the numbers of functions that are effectively deleted is printed in
the output file,
in the SCF part (cycle 1) of the computation section.
- The TAPE21 result file
of a calculation that used the DEPENDENCY key contains information about the omitted
functions
and these will also be omitted from the fragment basis when the TAPE21 is used as a
fragment file.
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