Using the nlm function for optimization with multiple variables

Question

Can the nlm function be used for optimization with multiple variables? How would that work?

For instance: I want to find x and y so that f(x,y) is minimized. How would the nlm function work?

something like that?:

nlm(f,c(0.1,0.1))

Answer 1

Make a function that receives a vector:

f <- function(X) {
  x <- X[1]
  y <- X[2]
  (x-3.14)^2 + (y-6.28)^2
}
nlm(f,c(0.1,0.1))