optional_interface_pointer
Pointer to interface that provides non-nested responses
Topics
block_pointer
Specification
Alias: None
Arguments: STRING
Default: no optional interface
Child Keywords:
Required/Optional |
Description of Group |
Dakota Keyword |
Dakota Keyword Description |
|---|---|---|---|
Optional |
Pointer to responses block that defines non-nested responses |
||
Description
optional_interface_pointer is used to specify an optional inferface (using
that interface block’s id_interface label) to provide non-nested
responses to the nested model.
To generate the complete set of primary responses (response functions,
objective functions, and calibration terms) expected by the nested model,
primary responses from the optional interface may be combined (by addition)
with responses derived from sub-iterator results, or they may be presented
unchanged to the nested model. The way that Dakota treats primary responses
from these two sources depends on the number of rows of and entries in the
primary_response_mapping matrix.
To understand how, it is helpful to consider the following expression.
Nested model primary responses \(r\) are computed from
the column vector of optional interface responses \(f\) , the
primary_response_mapping matrix \(W\) , and the column vector of results
from the sub-iterator \(s\) .
The number of rows in \(f\) is equal to the number of primary responses
returned by the optional interface, and in \(r\) , the number of primary
responses expected by the nested model. In this expression, \(0\) represents
“padding” that may be needed by either the optional interface vector or the
sub-iterator vector to make them the same dimension as \(r\) . One or the other
of these quantities may be padded, but not both. In terms of the Dakota input,
this means that the number of nested model primary responses must equal the
larger of these two quantities: the number of optional interface
responses or the number of rows in the primary_response_mapping.
The nested model’s secondary responses (nonlinear constraints) are the
secondary responses from the optional interface augmented by the secondary
responses constructed from sub-iterator results. Unlike primary responses from
these two sources, which may be combined by adding, it is not possible
presently to combine secondary responses. For this reason, the number of nested
model’s secondary responses must equal the number of secondary responses
provided by the optional interface, plus the number provided by the sub-iterator
(i.e. the number of rows in the secondary_response_mapping). Secondary
responses from the optional interface are inserted first into the nested model’s
nonlinear constraints; those from the sub-iterator come after. If the nested
model has secondary responses and an optional interface is used, it is necessary
to specify a separate response block for the optional interface using the
optional_interface_response_pointer. Targets and upper and lower bounds for
the nonlinear constraints are taken from the nested model’s response block.
Examples
The first example illustrates the use of an optional interface and primary
response mapping. No secondary responses are present. Assume that the inner
method returns two results (suppose its the mean and standard deviation of a
single response), so that the dimensions of primary_response_mapping will be
interpreted by Dakota as 1x2, just as they are written here.
The nested model ( nested) expects two primary responses
( outer_resp block), and the optional interface returns two
( opt_resp block).
model
id_model 'nested'
nested
optional_interface_pointer 'opt_intf'
optional_interface_response_pointer 'opt_resp'
sub_method_pointer 'inner_method'
primary_response_mapping 1.0 2.0
responses_pointer 'outer_resp'
variables_pointer 'outer_vars'
responses
id_responses 'opt_resp'
response_functions 2
descriptors 'opt1' 'opt2'
no_gradients
no_hessians
responses
id_responses 'outer_resp'
response_functions 2
descriptors 'out1' 'out2'
no_gradients
no_hessians
The first nested model response, \(out1\) will be computed \(out1 = opt1 + 1.0*mean + 2.0*stddev\) , and the second response \(out2\) will be equal to simply \(opt2\) . In the matrix form introduced above, including the implicit padding:
The optional_interface_response_pointer was not strictly needed. Because the
number of responses returned by the optional interface and expected by the
nested model is the same (and no secondary responses are present), the nested
model’s response specification alone would have sufficed.
If it were desired to combine \(opt2\) with the sub-iterator’s results and
set \(out1\) to \(opt1\) with no combination, then the primary_response_mapping
matrix could be changed to:
primary_response_mapping 0.0 0.0
1.0 2.0
<hr> Secondary responses will be demonstrated in the second example.
model
id_model 'nested'
nested
optional_interface_pointer 'opt_intf'
optional_interface_response_pointer 'opt_resp'
sub_method_pointer 'inner_method'
primary_response_mapping 1.0 2.0
secondary_response_mapping 1.0 0.0
responses_pointer 'outer_resp'
variables_pointer 'outer_vars'
responses
id_responses 'opt_resp'
objective_functions 2
descriptors 'opt1' 'opt2'
nonlinear_inequality_constraints 1
descriptors 'optc'
no_gradients
no_hessians
responses
id_responses 'outer_resp'
objective_functions 2
descriptors 'out1' 'out2'
nonlinear_inequality_constraints 2
descriptors 'outc1' 'outc2'
no_gradients
no_hessians
The nested model expects a total of two constraints. Because the
secondary_response_mapping has one row, one of these constraints will be
supplied from the sub-iterator. The other is provided by the optional
interface. Secondary responses from the optional iterator come first, and
so optc is placed in outc1. outc2 takes the value computed
from the sub-iterator results.
