.. _method-sampling-d_optimal-leja_oversample_ratio:

"""""""""""""""""""""
leja_oversample_ratio
"""""""""""""""""""""


Oversampling ratio for generating candidate point set


.. toctree::
   :hidden:
   :maxdepth: 1



**Specification**

- *Alias:* None

- *Arguments:* REAL

- *Default:* 10.0


**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)



**Examples**



.. code-block::

    method
      sampling
        sample_type random
        samples = 20
        d_optimal
          oversample_ratio = 2.0




