Can I reimplement an R optimization in Java (possibly with Apache Math Commons) for Android?

I've been tasked with implementing an optimization routine to run on Android (so I can use Java libraries, or C++ ones). It currently exists in both R and Excel (using Solver's GRG Nonlinear option). Since I don't know R, and Solver is a black box, I'm struggling.

I'm trying to achieve this using Apache Math Commons, since it contains an implementation of Nelder-Mead, which is what the R code is using.

Any help at all is hugely appreciated.

Edit: Changed to a single-param example which should run to completion in R.

fun = function(X) {     Y = 5151 - 1735 * (0.945 ^ X[1]) - 3416     Py = 100     R = Y * Py     Px = 200     C = X[1] * Px     P = Y * Py-X[1] * Px      write(sprintf("[%s] -> %.5f", X[1], P), stdout())     plot(P)      return(P) }  A = matrix(c(-200, 0), ncol=1, byrow=TRUE) B = c(-5000) xinit = c(0) xan = constrOptim(theta=xinit, f=fun, grad=NULL, ui=A, ci=B,control=list(fnscale=-1),method = "Nelder-Mead") xan$par xan$value 

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