fastfun

the evaluator function, found by a call to <code><a rd-options="base" href="/link/match.fun?package=DiceOptim&version=2.1.1&to=base" data-mini-rdoc="base::match.fun">match.fun</a></code>,

a data frame representing the design of experiments.
The ith row contains the values of the d input variables corresponding to the ith evaluation.

design

optional vector (or 1-column matrix or data frame) containing the values of the 1-dimensional output given by the objective function at the design points.

response

Modification of an R function to be used as with methods <code>predict</code> and <code>update</code> (similar to a <code><a rd-options="DiceKriging" href="/link/km?package=DiceOptim&version=2.1.1&to=DiceKriging" data-mini-rdoc="DiceKriging::km">km</a></code> object). 
It creates an S4 object which contains the values corresponding to evaluations of other costly observations.
It is useful when an objective can be evaluated fast.

Efficient Global Optimization (EGO) algorithm as described in "Roustant et al. (2012)" <doi:10.18637/jss.v051.i01> and adaptations for problems with noise ("Picheny and Ginsbourger, 2012") <doi:10.1016/j.csda.2013.03.018>, parallel infill, and problems with constraints.

V. Picheny

DiceOptim

Kriging-Based Optimization for Computer Experiments

Victor Picheny

David Ginsbourger Green

Olivier Roustant

Mickael Binois

Sebastien Marmin

Tobias Wagner

fastfun function

the evaluator function, found by a call to <code><a rd-options='base' href='match.fun'>match.fun</a></code>,

Modification of an R function to be used as with methods <code>predict</code> and <code>update</code> (similar to a <code><a rd-options='DiceKriging' href='km'>km</a></code> object). 
It creates an S4 object which contains the values corresponding to evaluations of other costly observations.
It is useful when an objective can be evaluated fast.

fastfun: Fastfun function

Description

Usage

Arguments

Value