Build a locally accurate surrogate from data at a single point


  • Alias: None

  • Arguments: None

Child Keywords:


Description of Group

Dakota Keyword

Dakota Keyword Description



Construct a Taylor Series expansion around a point



Pointer to specify a “truth” model, from which to construct a surrogate


Local approximations use value, gradient, and possibly Hessian data from a single point to form a series expansion for approximating data in the vicinity of this point.

The currently available local approximation is the taylor_series selection.

The truth model to be used to generate the value/gradient/Hessian data used in the series expansion is identified through the required truth_model_pointer specification. The use of a model pointer (as opposed to an interface pointer) allows additional flexibility in defining the approximation. In particular, the derivative specification for the truth model may differ from the derivative specification for the approximation, and the truth model results being approximated may involve a model recursion (e.g., the values/gradients from a nested model).