Blurb:: Oversampling ratio for generating candidate point set

Description::
When generating a D-Optimal point set of size N, the \c
oversample_ratio R controls the number of candidate points R x N from
which the D-Optimal points are chosen.

<b> Default Behavior </b>

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

Topics::	
Examples::
\verbatim
method
  sampling
    sample_type random
    samples = 20
    d_optimal
      oversample_ratio = 2.0
\endverbatim
Theory::
Faq::
See_Also::	
