Dear all,
I want to to formulate the following mathematical programming constraint using concert technology in C++ interface.
sum(i in I)(j in J) x[i][j] >= 0.5 * sum(j in J)(k in K) y[j][k]
where x[i][j] and y[j][k] are both nonnegative continuous decision variables. This constraint means the summation over all "i" and "j" for decision variable "x" is at least greater or equal than half of the summation over all "j" and "k" for decision variable "y".
I am using the following piece of code within my code. However, I'm a little bit skeptical whether it is welldefined or it's wrong!
IloExpr vi(env), vii(env);
for(i = 0; i < I; i++){
for(j = 0; j < J; j++){
vi += x[i][j];}
}
for(j = 0; j < J; j++){
for(k = 0; k < K; k++){
vii += y[j][k];}
}
mipmodel.add(vi >= 0.5*vii);
vi.end();
vii.end();
"env" and "mipmodel" are the names of my environment and my model, respectively.
Any comment would be highly appreciated.
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Pinned topic A constraint definition isue in concert technology/c++ interface
20131116T23:57:20Z

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Re: A constraint definition isue in concert technology/c++ interface
20131118T21:03:34ZThis is the accepted answer. This is the accepted answer. DanielJunglas
 20131118T11:26:50Z
To me that looks exactly like the thing you want to do. Do you experience unexpected behavior or why do you have doubts about this?
Thanks for your comment.
Actually, I've never had any kind of errors or things like that. I've no longer any doubt about it.