However, implementing linear programming can also pose some challenges, such as choosing the right solver, handling non-linearities, dealing with large-scale models, and interpreting the results.

Learn how to interpret and communicate the results of linear programming models using examples, graphs, sensitivity analysis, tables, and narratives.

In the classical linear programming problem the behaviour of continuous, nonnegative variables subject to a system of linear inequalities is investigated. One possible generalization of this problem ...