S is an array 1-dimensional, for example 1 X 10, and mean(S) is the mean of these 10 elements.
So, I want to do: minimize mean(S) with 0 < b_func(S) < 800. That is, there are some boundaries on S according the b_funct The function apply an iterative convergent criterion: f_1=g(S), f_2=g(f_1), f_3=g(f_2), ecc.... The function stops when f_n - f_n-1 <=0.1e-09 and g(S) is a non-linear function of S and the convergence is mathematically assured. Is it possible to use 'optimize'? thanks domenico 2007/7/3, Spencer Graves <[EMAIL PROTECTED]>: > > Do you mean > > minimize mu with 0 < b_func(S+mu) < 800? > > For this kind of problem, I'd first want to know the nature of > "b_func". Without knowing more, I might try to plot b_func(S+mu) vs. > mu, then maybe use 'optimize'. > > If this is not what you mean, please be more specific: I'm > confused. > > Hope this helps. > Spencer Graves > > domenico pestalozzi wrote: > > I know it's possible to solve max e min problems by using these > functions: > > > > nlm, optimize, optim > > > > but I don't know how to use them (...if possible...) to solve this > problem. > > > > I have a personal function called b_func(S) where S is an input array > (1 X > > n) and I'd like: > > > > minimize mean(S) with 0 < b_funct < 800. > > > > I know that the solution exists, but It's possible to calculate it in R? > > The b_func is non linear and it calculates a particular value using S as > > input and applying a convergent iterative algorithm. > > > > thanks > > > > > > domenico > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > R-help@stat.math.ethz.ch mailing list > > https://stat.ethz.ch/mailman/listinfo/r-help > > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > > and provide commented, minimal, self-contained, reproducible code. > > > [[alternative HTML version deleted]] ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
