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Dakota Reference Manual
Version 6.15
Explore and Predict with Confidence
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DOT conjugate gradient optimization method
Alias: none
Argument(s): none
Child Keywords:
Required/Optional | Description of Group | Dakota Keyword | Dakota Keyword Description | |
---|---|---|---|---|
Optional | max_iterations | Number of iterations allowed for optimizers and adaptive UQ methods | ||
Optional | convergence_tolerance | Stopping criterion based on objective function or statistics convergence | ||
Optional | constraint_tolerance | Maximum allowable constraint violation still considered feasible | ||
Optional | speculative | Compute speculative gradients | ||
Optional | max_function_evaluations | Number of function evaluations allowed for optimizers | ||
Optional | scaling | Turn on scaling for variables, responses, and constraints | ||
Optional | model_pointer | Identifier for model block to be used by a method |
DOT library[85] implementation of Fletcher-Reeves conjugate gradient method for unconstrained optimizaiton.
See package_dot for information common to all DOT
methods.
DOT requires a separate software license and therefore may not be available in all versions of Dakota. CONMIN or OPT++ methods may be suitable alternatives.
Caution regarding dot_frcg
. In DOT Version 4.20, we have noticed inconsistent behavior of this algorithm across different versions of Linux. Our best assessment is that it is due to different treatments of uninitialized variables. As we do not know the intention of the code authors and maintaining DOT source code is outside of the Dakota project scope, we have not made nor are we recommending any code changes to address this. However, all users who use dot_frcg
in DOT Version 4.20 should be aware that results may not be reliable.
Expected HDF5 Output
If Dakota was built with HDF5 support and run with the hdf5 keyword, this method writes the following results to HDF5: