Dakota Reference Manual
Version 6.2
LargeScale Engineering Optimization and Uncertainty Analysis

Samples variables along points moving out from a center point
This keyword is related to the topics:
Alias: none
Argument(s): none
Required/Optional  Description of Group  Dakota Keyword  Dakota Keyword Description  

Required  step_vector  Size of steps to be taken in each dimension of a centered parameter study  
Required  steps_per_variable  Number of steps to take in each dimension of a centered parameter study  
Optional  model_pointer  Identifier for model block to be used by a method 
Dakota's centered parameter study computes response data sets along multiple coordinatebased vectors, one per parameter, centered about the initial values from the variables specification. This is useful for investigation of function contours with respect to each parameter individually in the vicinity of a specific point (e.g., postoptimality analysis for verification of a minimum), thereby avoiding the cost associated with a multidimensional grid.
Default Behavior
By default, the centered parameter study operates over all types of variables.
The centered_parameter_study
takes steps along each orthogonal dimension. Each dimension is treated independently. The number of steps are taken in each direction, so that the total number of points in the parameter study is .
Expected Outputs
A centered parameter study produces a set of responses for each parameter set that is generated.
The following example is a good comparison to the examples on multidim_parameter_study and vector_parameter_study.
# tested on Dakota 6.0 on 140501 environment tabular_data tabular_data_file = 'rosen_centered.dat' method centered_parameter_study steps_per_variable = 5 4 step_vector = 0.4 0.5 model single variables continuous_design = 2 initial_point = 0 0 descriptors = 'x1' "x2" interface analysis_driver = 'rosenbrock' fork responses response_functions = 1 no_gradients no_hessians
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