Originally posted by: naveendivakaran

Hi,

I know how to retrieve Dual and Reduced Costs from Solutions using OPL.

For example to retrieve Reduced Cost I would use:

for (var p in thisOplModel.WSWWIndex)
writeln(thisOplModel.tool_shortage[p].reducedCost)

Is there a similar way in which I can retrieve Feasibility (for constraints RHS) and Optimality Ranges (for Objective Coefficients)? I know how to get them through Interactive CPLEX. But I am looking for an OPL method.

-Naveen

Hi,

I am afraid you cannot do that in OPL directly.

But what you can do is an external java call as suggested at

https://www.ibm.com/developerworks/community/forums/html/topic?id=00cb4d3d-270a-48e2-9533-132335a06c1d&ps=25

regards

Originally posted by: naveendivakaran

Thank you Alex for the quick reply. I need to look at that suggestion. Is there a similar way through Python?

Originally posted by: p_couronne

This is not documented (yet) but the Model class has dual_values(reps. slack_values, reduced_costs) methods that accept either a variable or a sequence)

and return the appropriate values.

What Philippe says is correct for docplex. In case you are using the CPLEX Python API then there is get_dual_values() and friends in Cplex.solution.

And for sensitivity analysis there is Cplex.solution.sensitivity.