Hi all, I need to minimize following function :
dat <- matrix(rnorm(20000), ncol=2)
targetFn <- function(x) {
dat <- as.matrix(dat)
dat1 <- 1*dat[,1] - (x^2)*dat[,2]
return(sd(dat1)) }
i.e. I want ro find for which "x" the value of "targetFn" will be minimum,
depending on current dataset "dat". Is there any optimization routine
available for this type of optimization?
Thanks and regards,
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