Blurb::
Oversampling ratio for generating candidate point set
Description::
When generating a D-Optimal point set of size N, the
``oversample_ratio`` R controls the number of candidate points R x N from
which the D-Optimal points are chosen.

*Default Behavior*

The default when not specified is to perform candidate-based sample
design selection (non-Leja)
Topics::

Examples::

.. code-block::

    method
      sampling
        sample_type random
        samples = 20
        d_optimal
          oversample_ratio = 2.0


Theory::

Faq::

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