Nothing
require(optimx)
maxfn<-function(x) {
n<-length(x)
ss<-seq(1,n)
f<-10-(crossprod(x-ss))^2
f<-as.numeric(f)
return(f)
}
negmaxfn<-function(x) {
f<-(-1)*maxfn(x)
return(f)
}
cat("test that maximize=TRUE works correctly\n")
n<-6
xx<-rep(1,n)
ansmax<-optimr(xx,maxfn, gr="grfwd", method="Rvmmin", control=list(maximize=TRUE,trace=0))
print(ansmax)
amaxkkt <- kktchk(ansmax$par, maxfn, gr="grfwd", hess=NULL, maximize=TRUE, control=list(trace=0))
print(amaxkkt)
cat("using the negmax function should give same parameters\n")
ansnegmax<-optimr(xx,negmaxfn, gr="grfwd", method="Rvmmin", control=list(trace=0))
print(ansnegmax)
# Test Carlo Lapid suggested fix for optimr() 180313
amaxo<-optimr(xx, maxfn, method="L-BFGS-B", control=list(maximize=TRUE, trace=0))
print(amaxo)
cat("using the negmax function should give same parameters\n")
anegmaxo<-optimr(xx,negmaxfn, method="L-BFGS-B", control=list(trace=0))
print(anegmaxo)
cat("WARNING -- this example should FAIL\n")
cat("maximize=TRUE is NOT set up in hjn()\n")
# 160706 -- not set up to maximize, except through optimr perhaps
n<-6
xx<-rep(1,n)
ansmax<-try(hjn(xx,maxfn, control=list(maximize=TRUE,trace=1, maxit=10, maxfeval=2000)))
print(ansmax)
cat("\nTry to maximize through optimr()\n")
ansmaxo<-try(optimr(xx,maxfn, method="hjn", control=list(maximize=TRUE,trace=1, maxit=10, maxfeval=2000)))
print(ansmaxo)
cat("using the negmax function should give same parameters\n")
ansnegmax<-hjn(xx,negmaxfn, control=list(trace=1, maxit=10, maxfeval=2000))
print(ansnegmax)
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