Some optimization problems are infeasible. This can be detected using the status code returned by the solver. When the problem is infeasible, we have a few options on how to deal with it:
Throw an error using stop.Alteryx.
I output shows a single panel with the message. The D and S outputs do the same.
Clearly, (1) is the easiest to implement. However, (2) makes sense especially if the feasibility status of the problem is going to be used upstream in the workflow for some other decision.
Some optimization problems are infeasible. This can be detected using the
statuscode returned by the solver. When the problem is infeasible, we have a few options on how to deal with it:stop.Alteryx.Clearly, (1) is the easiest to implement. However, (2) makes sense especially if the feasibility status of the problem is going to be used upstream in the workflow for some other decision.