.. _method-bayes_calibration-wasabi-emulator-pce-p_refinement-dimension_adaptive-generalized:

"""""""""""
generalized
"""""""""""


Use the generalized sparse grid dimension adaptive algorithm to refine a sparse grid approximation of stochastic expansion.


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



**Specification**

- *Alias:* None

- *Arguments:* None


**Description**


The generalized sparse grid algorithm is a greedy approach in which candidate index sets are evaluated for their impact on the statistical QOI, the most influential sets are selected and used to generate additional candidates, and the index set frontier of a sparse grid is evolved in an unstructured and goal-oriented manner (refer to User's Manual PCE descriptions for additional specifics).



**Examples**



.. code-block::

    method,
            polynomial_chaos
              sparse_grid_level = 3
              dimension_adaptive p_refinement generalized
                max_iterations  = 20
                convergence_tol = 1.e-4




