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Dakota Reference Manual
Version 6.15
Explore and Predict with Confidence
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Estimate dimension preference for automated refinement of stochastic expansion using total Sobol' sensitivity indices.
Alias: none
Argument(s): none
Default: generalized
Determine dimension preference for refinement of a stochastic expansion from the total Sobol' sensitivity indices obtained from global sensitivity analysis. High indices indicate high importance for resolving statistical quantities of interest and therefore result in high dimension preference.
method, polynomial_chaos sparse_grid_level = 3 dimension_adaptive p_refinement sobol max_iterations = 20 convergence_tol = 1.e-4