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Dakota Reference Manual
Version 6.2
Large-Scale Engineering Optimization and Uncertainty Analysis
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Identifier for model block to be used by a method
This keyword is related to the topics:
Alias: none
Argument(s): STRING
Default: method use of last model parsed (or use of default model if none parsed)
The model_pointer
is used to specify which model block will be used to perform the function evaluations needed by the Dakota method.
Default Behavior
If not specified, a Dakota method will use the last model block parsed. If specified, there must be a model block in the Dakota input file that has a corresponding id_model
with the same name.
Usage Tips
When doing advanced analyses that involve using multiple methods and multiple models, defining a model_pointer
for each method is imperative.
See block_pointer for details about pointers.
environment tabular_graphics_data method_pointer = 'UQ' method id_method = 'UQ' model_pointer = 'SURR' sampling, samples = 10 seed = 98765 rng rnum2 response_levels = 0.1 0.2 0.6 0.1 0.2 0.6 0.1 0.2 0.6 sample_type lhs distribution cumulative model id_model = 'SURR' surrogate global, dace_method_pointer = 'DACE' polynomial quadratic method id_method = 'DACE' model_pointer = 'DACE_M' sampling sample_type lhs samples = 121 seed = 5034 rng rnum2 model id_model = 'DACE_M' single interface_pointer = 'I1' variables uniform_uncertain = 2 lower_bounds = 0. 0. upper_bounds = 1. 1. descriptors = 'x1' 'x2' interface id_interface = 'I1' system asynch evaluation_concurrency = 5 analysis_driver = 'text_book' responses response_functions = 3 no_gradients no_hessians