Optimization Techniques in Operation Research

This book meets the requirements of engineering/science and management students at graduate and postgraduate level.

The main topics discussed are: - Linear programming, including duality and sensitivity analysis.
- Non-linear programming, including quadratic and separable programming.
- Transport and assignment problems.
- Game theory.
- Integer programming, including the travelling salesman problem.
- Goal programming, including multi-objective programming.
- Network analysis (CPM and PERT).
- Sequencing problems.
- Dynamic programming.

New to this edition:

Two new chapters - "Introduction to Optimization" and "Classical Optimization Techniques", more solved and unsolved examples, and a new article on processing 2-jobs through k-machines.

Special features: - A very comprehensive and accessible approach to the presentation of the material.
- A variety of solved examples to illustrate the theoretical results.
- A large number of unsolved exercises for practice at the end of each section.
- Solutions to all unsolved examples are given at the end of each exercise.