Dakota Reference Manual  Version 6.12
Explore and Predict with Confidence
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DOT Sequential Linear Program


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[84] implementation of sequential linear programming for constrained 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.

Expected HDF5 Output

If Dakota was built with HDF5 support and run with the hdf5 keyword, this method writes the following results to HDF5: