Optimization and Decision Analytics Lab.

Catalog description

Laboratory sessions for solving operations research problems pertaining to linear programming, network programming, dynamic programming, non-linear programming, mixed integer programming, stochastic programming characterized by large-scale instances, multiple objectives, realistic constraints using operations research software applications such as CPLEX or Gurobi solvers. Emphasis will be placed on model formulations, programming in an appropriate language, solving using a relevant software application, interpretation, and analysis of results, setting termination and run-time parameters, selection of appropriate solution techniques, optimality gaps and model life-cycle management. (Fall) Prerequisite: EG3191; Corequisite: EG4393.