Data Mining Algorithms In R/Packages/optimsimplex/optimsimplex.reflect
Description
[edit | edit source]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
[edit | edit source]optimsimplex.reflect(this = NULL, fun = NULL, data = NULL)
Arguments
[edit | edit source]| 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
[edit | edit source]Return a list with the following elements:
- r The reflected simplex object.
- data The updated user-defined data
Authors
[edit | edit source]Author of Scilab optimsimplex module: Michael Baudin (INRIA - Digiteo)
Author of R adaptation: Sebastien Bihorel (sb.pmlab@gmail.com)