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.. _meta_modeling:
Meta modeling
=============
The current section is dedicated to the building of an analytical approximation of the response of a given model.
Such an approximation is commonly referred to as a response surface in the literature.
This methodology is relevant if each model evaluation is time consuming.
Indeed, once a response surface has been built up, the various propagation steps may be applied at a negligible cost.
A special focus will be given to polynomial response surfaces.
General purpose surrogate models
--------------------------------
.. toctree::
:maxdepth: 1
taylor_expansion
polynomial_least_squares
polynomial_sparse_least_squares
kriging
cross_validation
Functional chaos
----------------
.. toctree::
:maxdepth: 1
orthogonal_polynomials
chaos_basis
enumeration_strategy
functional_chaos
pce_cross_validation
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