truncation_tolerance
Convergence tolerance used to identify the (reduced) dimension of the rotation matrix
Specification
Alias: None
Arguments: REAL
Default: 0.8
Description
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.
Examples
The following block
model
id_model = 'SUBSPACE'
adapted_basis
truth_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.