Optimization in Engineering

Contents: Preface. 1. Linear programming problem. 2. Method for optimal solution. 3. Primal and dual problem. 4. Sensitivity analysis. 5. Integer programming problem. 6. Network model. 7. Transportation problem. 8. Dynamic programming. 9. Game theory. 10. Classical optimization. 11. Queuing theory. Index. Bibliography.

This is a textbook for one term--course in optimization engineering for all branches. Notations used are common ones in mathematics. Many illustrations are presented to stimulate students interest in the subject. This class tested material is presented in simple format. This student centered text comprises of many examples and logical facts. Problems are presented with hints. Theory is well substantiated with examples.