Dear R-users,

I am working with some grid-search optimization for 13 values of an
object function. 

At glance one may compute the object function for each possible
combination of set of parameters, but in my case would not be feasible:
taking for example 13 possible values for each parameters like, in
logarithm scale, 10^seq(-3,3,.5) will lead to 13^13 combinations of
results.

As a second trial I use the general-purpose function "optim" both
without and with constraints from the candidate values (of course the
latter is fast and fine with me), but I am wondering whether there is
kind of optim-function which optimize using only a series of values to
give as additional arguments. Just inventing, something like:

possible1  <- 10^seq(-3,3,0.5)
possible2  <- 10^seq(-3,3,0.5)
...
possible13 <- 10^seq(-3,3,0.5)

new.optim(par=rep(median(possible1), 13),
          fn=my.object.function,
          from=cbind(possible1, possible2,..., possible13)) 

Instead of just:
optim(par=rep(median(possible1), 13),
      fn=my.object.function,
	method=c("L-BFGS-B"),
 	lower=rep(min(possible1), 13),
      upper=rep(min(possible1), 13)) 


Thanks in advance,
Carlo Giovanni Camarda

===========================================
Camarda Carlo Giovanni
PhD-Student
Max Planck Institute for Demographic Research
Konrad-Zuse-Strasse 1
18057 Rostock, Germany
Tel:  +49 (0)381 2081 172
Fax: +49 (0)381 2081 472
camarda@demogr.mpg.de
===========================================


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