.. _method-approximate_control_variate-sample_type: """"""""""" sample_type """"""""""" Selection of sampling strategy .. toctree:: :hidden: :maxdepth: 1 method-approximate_control_variate-sample_type-lhs method-approximate_control_variate-sample_type-random **Specification** - *Alias:* None - *Arguments:* None - *Default:* random **Child Keywords:** +-------------------------+--------------------+--------------------+---------------------------------------------+ | Required/Optional | Description of | Dakota Keyword | Dakota Keyword Description | | | Group | | | +=========================+====================+====================+=============================================+ | Required (Choose One) | Sample Type | `lhs`__ | Uses Latin Hypercube Sampling (LHS) to | | | | | sample variables | | | +--------------------+---------------------------------------------+ | | | `random`__ | Uses purely random Monte Carlo sampling to | | | | | sample variables | +-------------------------+--------------------+--------------------+---------------------------------------------+ .. __: method-approximate_control_variate-sample_type-lhs.html __ method-approximate_control_variate-sample_type-random.html **Description** The ``sample_type`` keyword allows the user to select between two types of sampling: Monte Carlo (pure random) and Latin hypercube (stratified) sampling. The incremental keywords are deprecated; instead use ``samples`` together with ``refinement_samples``. *Default Behavior* If the ``sample_type`` keyword is present, it must be accompanied by ``lhs`` or ``random``. In most contexts, ``lhs`` is the default (exception: multilevel_sampling uses Monte Carlo by default). **Examples** .. code-block:: method sampling sample_type lhs samples = 20 seed = 83921