Data Mining Algorithms In R/Packages/optimsimplex/optimsimplex.reflect

Description

This function returns a new simplex by reflection of the current simplex with respect to the first vertex in the simplex. This move is used in the centered simplex gradient.

Usage

   optimsimplex.reflect(this = NULL, fun = NULL, data = NULL)

Arguments

this	An simplex object.
fun	The function to compute at vertices. The function is expected to have the following input and output arguments: myfunction <- function(x, this){ ... return(list(f=f,this=this)) } where x is a row vector and this a user-defined data, i.e. the data argument.
data	A user-defined data passed to the function. If data is provided, it is passed to the callback function both as an input and output argument. data may be used if the function uses some additional parameters. It is returned as an output parameter because the function may modify the data while computing the function value. This feature may be used, for example, to count the number of times that the function has been called.

Value

Return a list with the following elements:

r The reflected simplex object.

data The updated user-defined data

Authors

Author of Scilab optimsimplex module: Michael Baudin (INRIA - Digiteo)
Author of R adaptation: Sebastien Bihorel (sb.pmlab@gmail.com)