Mathematics Programming

Learning Outcomes

On successful completion of this course, student will be able to: Explain optimization problems and situations; Explain model linear programming problems and duality and post optimal analysis to the problem; Calculate network model problems i.e. transportation problems, the critical path methods, minimal spanning tree problems, the maximum flow problem and introduction of fuzzy programming; Analyze non-linear programming, integer programming, dynamic programming problems

Topics

1. Introduction to the optimization problems
2. Linear programming
3. Duality and post optimal analysis
4. Network models
5. Introduction to fuzzy programming
6. Introduction to non-linear programming
7. Integer programming
8. Dynamic programming