model_pointer
Identifier for model block to be used by a method
Topics
block_pointer
Specification
Alias: None
Arguments: STRING
Default: method use of last model parsed (or use of default model if none parsed)
Description
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 Pointers for details about pointers.
Examples
environment
tabular_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