tests/tryfun.R

In optfntools: Tools for assisting the preparation and testing of objective functions for optimization.

# Simple Test Function 1:
tryfun.f = function(x, scale=1) { 
     fun <- sum(x^2 )*sqrt(scale)
## if (trace) ... to be fixed
#	print(c(x = x, fun = fun))
     fun
}
tryfun.g = function(x) { 
     grad<-2.0*x*sqrt(scale)
     grad
}
tryfun.h = function(x) { 
     n<-length(x)
     t<-rep(2.0,n)
     hess<-diag(t)*sqrt(scale)
}