Hi,
I'm dealing with an optimization problem. I'm using 'optim' to maximize the
output of a function, given some restrictions on the input. I would like to
know if there is a way to impose some restrictions on 'intermediate
variables' of the function. An example..
fx = function (x)
{
s <- 0
for (i in 1:3)
{
s <- x[i]^3 + s
}
s
}
optim(rep(4,3), method="L-BFGS-B", lower=rep(-10,nlin), upper=rep(10,nlin))
It would return '-10' for all variables. I want, however, a solution
satisfying mean(x)>7.
Please, don't analyse this specific example, but the logic of satisfying a
criterium for the mean of the input (with thousands of variables). My real
problem involves price elasticity and I want to find the price increase for
each individual that would give me maximum total profit margin, but
respecting a minimum retention of clients.
Thank you very much,
John Mayer
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