Dimitri Shvorob <dimitri.shvorob <at> gmail.com> writes: > > > A 40-element subset proves too much :( > > > Error: cannot allocate vector of size 554.1 Mb > > Thanks, Bart!
I could solve a problem with n=200, k=40 with Cplex's MIQP solver in less than a minute, but that may depend heavily on the data. The model I used looks like: min (s-target)^2 s = sum(i,p[i]*x[i]) sum(i,x[i]) = k x[i] in {0,1} One can replace the quadratic object by a linear one by minimizing the absolute deviation. That leads to a MIP model: min d1+d2 s = sum(i,p[i]*x[i]) sum(i,x[i]) = k d1-d2 = s-target d1,d2>=0 x[i] in {0,1} ---------------------------------------------------------------- Erwin Kalvelagen Amsterdam Optimization Modeling Group er...@amsterdamoptimization.com http://amsterdamoptimization.com ______________________________________________ R-help@r-project.org 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.