Optimization Techniques in Operation Research

Contents: 1. Linear Programming including duality and sensitivity analysis. 2. Non-linear programming including quadratic and separable programming. 3. Transport and assignment problem. 4. Game theory. 5. Integer programming including Traveling Salesman problem. 6. Goal programming including multi-objective programming. 7. Network analysis (CPM and PERT). 8. Sequencing problem. 9. Dynamic programming.

"Special features of the book: 1. A very comprehensive and accessible approach in the presentation of the material. 2. A variety of solved examples to illustrate the theoretical results. 3. A large number of unsolved exercises for the students are given for practice at the end of each section. 4. Solution to each unsolved examples are given at the end of each exercise."