CST:Controls: Difference between revisions

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__NOEDITSECTION__ __NOTOC__
__NOEDITSECTION__ __NOTOC__
The behaviour of the constrained dynamics is controlled by the setup provided in the [con] section. This section belongs to the {PMFLIB} group.
The behavior of the constrained dynamics is controlled by the setup provided in the [cst] section. This section belongs to the {PMFLIB} group.


==[con]==
==[cst]==
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{| style="width: 100%;"
| style="width: 10em;" | '''Key'''  
| style="width: 10em;" | '''Key'''  

Latest revision as of 15:16, 22 July 2021

Navigation: Documentation / Methods / Constrained Dynamics / CST:Controls


The behavior of the constrained dynamics is controlled by the setup provided in the [cst] section. This section belongs to the {PMFLIB} group.

[cst]

Key Default value Type Description
fmode 0 integer The mode of constrained dynamics:
0 - the method is disabled
1 - the method is enabled
If the method is enabled then at least one constraint should be provided in the {CON} group. The constraint specification is described in CON:Constraints.
fsample 500 integer Every fsample MD steps, the accumulated data will be printed to the constrained dynamics output file. The name of the output file is provided in the [files] section.
fplevel 0 integer The level of output printed to the output file.
0 - standard output
1 - only user specified constraints are printed
frestart off logical Disable/Enable restarting the constrained dynamics simulation from the previous run. The name of the restart file is provided in the [files] section. If the restart is enabled but no restart file exists only warning is raised.
faccurst 1000 integer After faccurst MD steps, the accumulated data are reseted.
flambdasolver 0 integer It determines solver of constraint equations. Supported types are:
0 - Newton method
1 - Chord method
flambdatol 1.0^-4 real Requested tolerance of the solution. The solution is accepted if all lambda correction in the given step will be lower than flambdatol.
fmaxiter 50 integer Maximum number of iteration that the solver can used to find solution of constraint equations.