Blurb::
Specify a predefined generating vector

Description::
Dakota provides two predefined generating vectors:

- :dakkw:`method-sampling-sample_type-low_discrepancy-rank_1_lattice-generating_vector-predefined-cools_kuo_nuyens` (default): generates up to 2\ :sup:`20` points in up to 250 dimensions :cite:p:`Cools06`.
- :dakkw:`method-sampling-sample_type-low_discrepancy-rank_1_lattice-generating_vector-predefined-kuo`: generates up to 2\ :sup:`20` points in up to 3600 dimensions :cite:p:`Kuo06`.

Topics::

Examples::

.. code-block::

    environment
      tabular_data
        tabular_data_file = 'samples.dat'
        freeform

    method
      sampling
        samples 1024
        sample_type
          low_discrepancy
            rank_1_lattice
              generating_vector predefined kuo

    variables
      uniform_uncertain = 3
        lower_bounds 0.0 0.0 0.0
        upper_bounds 1.0 1.0 1.0

    interface
      analysis_drivers = 'genz'
      analysis_components = 'cp1'
      direct

    responses
      response_functions = 1
      no_gradients
      no_hessians

Theory::

Faq::

See_Also::
