This book meets the requirements of Engineering/Science and Management students at graduate and postgraduate level. Main topics discussed in the book are

• Linear Programming including duality and sensitivity analysis.

• Non-linear programming including quadratic and separable programming.

• Transport and assignment problem.

• Game theory.

• Integer programming including Traveling Salesman problem.

• Goal programming including multi-objective programming.

• Network analysis (CPM and PERT).

• Sequencing problem.

• Dynamic programming.

New in this Edition Two new chapters, viz., “Introduction to Optimization”, “Classical Optimization Techniques”, some more solved, unsolved examples and a new article on processing 2-jobs through k-machines in Chapter 13, have been added in the present edition. 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 practice at the end of each section.

4. Solutions to all unsolved examples are given at the end of each exercise.