grcentral {optimx} | R Documentation |
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 |
... |
optional arguments passed to the objective function. |
Details
Package: | grcentral |
Depends: | R (>= 2.6.1) |
License: | GPL Version 2. |
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.
Author(s)
John C. Nash
Examples
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)
[Package optimx version 2023-10.21 Index]