Hi everyone, i´m a new user of R and i´m trying to translate an linear optimization problem from Matlab into r.
The matlab code is as follow: options = optimset('Diagnostics','on'); [x fval exitflag] = linprog(f,A,b,Aeq,beq,lb,ub,[],options); exitflag fval x=round(x); Where: f = Linear objective function vector (vector of 45,rows) A = Matrix for linear inequality constraints (3colums 45 rows matrix) b = Vector for linear inequality constraints (3 rows vector) Aeq = Matrix for linear equality constraints (45 colums, 8 rows ) beq = Vector for linear equality constraints (8 rows vector) lb =Vector of lower bounds (45 rows) ub = Vector of upper bounds (45 rows) I have tryed the package "linprog" although i can´t find anyway to include the linear inequality constraints into the "solveLP" function. Can anyone please help me? -- View this message in context: http://r.789695.n4.nabble.com/Translation-of-Linear-minimization-probelm-from-matlab-to-r-tp4618123.html Sent from the R help mailing list archive at Nabble.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.