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Dakota Reference Manual
Version 6.15
Explore and Predict with Confidence
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Convergence tolerance used to identify the (reduced) dimension of the rotation matrix
Alias: none
Argument(s): REAL
Default: 0.8
This convergence tolerance controls the dimension of the rotation matrix after the truncation. The metric controlled by this convergence tolerance is a quantity varying between [0,1]. If a more aggressive dimension truncation is desired, the default value (0.8) can be reduced to a lower value.
The following block
model id_model = 'SUBSPACE' adapted_basis actual_model_pointer = 'FULLSPACE' sparse_grid_level = 1 truncation_tolerance = 0.9
increases the default value (0.8) for the truncation_tolerance
to 0.9 to obtain a rotation matrix and, consequently, a reduced model that more closely approximates the full dimensional model.