Includes bibliographical references and indexes.

1. Introduction -- 2. Overview of the operations research modeling approach -- 3. Introduction to linear programming -- 4. Solving linear programming problems: the simplex method -- 5. The theory of the simplex method -- 6. Duality theory -- 7. Linear programming under uncertainty -- 8. Other algorithms for linear programming -- 9. The transportation and assignment problems -- 10. Network optimization models -- 11. Dynamic programming -- 12. Integer programming -- 13. Nonlinear programming -- 14. Metaheuristics -- 15. Game theory -- 16. Decision analysis -- 17. Queuing theory -- 18. Inventory theory -- 19. Markov decision processes -- 20. Simulation -- Appendix 1. Documentation for the OR courseware -- Appendix 2. Convexity -- Appendix 3. Classical optimization methods -- Appendix 4. Matrices and matrix operations -- Appendix 5. Table for a Normal Distribution -- Partial answers to selected problems.

For over four decades, Introduction to Operations Research by Frederick Hillier has been the classic text on operations research. While building on the classic strengths of the text, the author continues to find new ways to make the text current and relevant to students. One way is by incorporating a wealth of state-of-the-art, user-friendly software and more coverage of business applications than ever before. The hallmark features of this edition include clear and comprehensive coverage of fundamentals, an extensive set of interesting problems and cases, and state-of-the-practice operations research software used in conjunction with examples from the text.