optimx (version 2018-7.10)

grcentral: Central difference numerical gradient approximation.

Description

grcentral computes the central difference approximation to the gradient of user function userfn.

Usage

grcentral(par, userfn, fbase=NULL, env=optsp, ...)

Arguments

par

parameters to the user objective function userfn

userfn

User-supplied objective function

fbase

The value of the function at the parameters, else NULL. This is to save recomputing the function at this point.

env

Environment for scratchpad items (like deps for approximation control in this routine). Default optsp.

…

optional arguments passed to the objective function.

Value

grcentral returns a single vector object df which approximates the gradient of userfn at the parameters par. The approximation is controlled by a global value optderiveps that is set when the package is attached.

Details

Package:	grcentral
Depends:	R (>= 2.6.1)
License:	GPL Version 2.

Examples

# NOT RUN {
cat("Example of use of grcentral\n")

myfn<-function(xx, shift=100){
    ii<-1:length(xx)
    result<-shift+sum(xx^ii)
}
xx<-c(1,2,3,4)
ii<-1:length(xx)
print(xx)
gn<-grcentral(xx,myfn, shift=0)
print(gn)
ga<-ii*xx^(ii-1)
cat("compare to\n")
print(ga)

# }