Decision Optimization

Greetings, Community!

I'm currently working on extracting the dual values of the constraints outlined below:

for(r in resources, t in time)

 AvailabilityCons:

sum( s in schedule) s.X_Time[t] * lambda[s] <= Available[r][t];

While I've managed to access and transfer them successfully to the subproblem using CPLEX OPL, I'm facing a challenge in doing so using C++. I've referred to the cutstock example, which worked well for a 1-D array scenario, but in my case, it's a 2D array. Could someone guide me on how to extract and transfer the dual values to the subproblem using C++? Below is the C++ program I've developed:

IloNumMap DualW = subDataElements.getElement("AvailabilityDual").asNumMap();
IloConstraintMap AvailabilityConsFill = masterRC.getOplModel().getElement("AvailabilityCons").asConstraintMap();

Hello, you can use tuples:

tuple index {	typeOfResource resource;	typeOfTime time;}{index} Indexes = {<r,t> | r in resources, t in time};for(i in Indexes)  AvailabilityCons:    sum( s in schedule) s.X_Time[i.time] * lambda[s] <= Available[i.resource][i.time];   or  sum( s in schedule) s.X_Time[i.time] * lambda[s] <= Available[i];IloTupleSet indexSet = masterRC.getOplModel().getElement("Indexes").asTupleSet();IloNumMap DualW = subDataElements.getElement("AvailabilityDual").asNumMap();IloConstraintMap AvailabilityConsFill = masterRC.getOplModel().getElement("AvailabilityCons").asConstraintMap();for (IloTupleIterator it(indexSet); it.ok(); ++it) {                IloTuple t = *it;                IloForAllRange r = AvailabilityConsFill.get(t);                DualW.set(t, masterCplex.getDual(r));            }where AvailabilityDual is defined as follows in the .mod files float AvailabilityDual[Indexes] = ...;

Greetings, Community!

I'm currently working on extracting the dual values of the constraints outlined below:

for(r in resources, t in time)

 AvailabilityCons:

sum( s in schedule) s.X_Time[t] * lambda[s] <= Available[r][t];

While I've managed to access and transfer them successfully to the subproblem using CPLEX OPL, I'm facing a challenge in doing so using C++. I've referred to the cutstock example, which worked well for a 1-D array scenario, but in my case, it's a 2D array. Could someone guide me on how to extract and transfer the dual values to the subproblem using C++? Below is the C++ program I've developed:

IloNumMap DualW = subDataElements.getElement("AvailabilityDual").asNumMap();
IloConstraintMap AvailabilityConsFill = masterRC.getOplModel().getElement("AvailabilityCons").asConstraintMap();