Dakota Reference Manual: truncation_tolerance

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truncation_tolerance

Convergence tolerance used to identify the (reduced) dimension of the rotation matrix

## Specification

Alias: none

Argument(s): 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
        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.