grcentral function

Central difference numerical gradient approximation.

Central difference numerical gradient approximation.

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

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.

Details

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

Returns

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)
  • Maintainer: John C Nash
  • License: GPL-2
  • Last published: 2024-12-10