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Dakota Reference Manual
Version 6.15
Explore and Predict with Confidence
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Cost estimates associated with a set of solution control values.
Alias: none
Argument(s): REALLIST
Child Keywords:
Required/Optional | Description of Group | Dakota Keyword | Dakota Keyword Description | |
---|---|---|---|---|
Optional | solution_level_control | Cost estimates associated with a set of solution control values. |
Simulation-based models may have an associated solution_level_control
, which identifies a hierarchy of solution states, such as a set of mesh discretizations from coarse to fine, a set of solver tolerances from loose to tight, etc. In algorithms that manage such a hierarchy and perform optimal resource allocation among the solution states (e.g., multilevel Monte Carlo), it is important to estimate a set of costs associated with each state. These cost estimates can be relative, such as in the example below (lowest cost normalized to 1.)
Note: a scalar solution cost can be specified without an associated solution level control. This is useful when employing a hierarchy of model forms (each model has a scalar solution cost and no solution level control) instead of a hierarchy of discretization levels (one model has a vector-valued solution cost associated with multiple solution levels).
model, simulation solution_level_control = 'mesh_size' solution_level_cost = 1. 8. 64. 512. 4096. variables, uniform_uncertain = 9 lower_bounds = 9*-1. upper_bounds = 9* 1. discrete_state_set integer = 1 set_values = 4 8 16 32 64 descriptors = 'mesh_size'