DETERMINISTIC OPTIMIZATION (3 Credits)

Learning Outcomes :

On successful completion of this course, student will be able to: Identify objectives and constraints based on problem descriptions; Create mathematical optimization models; Apply an understanding of the techniques used to solve linear optimization models using their mathematical structure; Use optimization software to conduct analyses and interpret the output; Create recommendations based on solutions, analyses and model’s limitations

Topics :

Various Types of LP Models; Duality Theory; Transportation Problems; Graphical Method for two variable LP; Network Models; Modeling Integer Programming; Sensitivity Analysis using Graphical Method; Simplex Algorithm; Solving Integer Programming; Sensitivity Analysis; Transshipment Problems; Assignment Problems