Schaum's outline of operations research
- 2nd
- New Delhi McGraw Hill Education (India) Pvt. Ltd. 2019
- vii, 272 p.
Chapter 1. Mathematical Programming Chapter 2. Linear Programming: Basic Concepts Chapter 3. Linear Programming: The Simplex and the Dual Simple Methods Chapter 4. Linear Programming: Duality and Sensitivity Analysis Chapter 5. Linear Programming: Extensions Chapter 6. Integer Programming: Branch-and-Bound Algorithm Chapter 7. Integer Programming: Cut Algorithms Chapter 8. Integer Programming: the Transportation Algorithm Chapter 9. Integer Programming: Scheduling Models Chapter 10. Non-linear Programming: Single-Variable Chapter 11. Non-linear Programming: Multivariable Optimization Without Constraints Chapter 12. Non-linear Programming: Multivariable Optimization Without Constraints Chapter 13. Network Analysis Chapter 14. Project Planning Using Pert/cpm Chapter 15. Inventory Models Chapter 16. Forecasting Chapter 17. Game Theory Chapter 18. Decision Theory Chapter 19. Dynamic Programming Chapter 20. Finite Markov Chains Chapter 21. Markovian Birth-Death Processes Chapter 22. Queuing Systems Chapter 23. M/m/1 Systems Chapter 24. Other Systems with Poisson-type Input and Exponential-Type Service Times Answers to Supplementary Problems Index
Tackling the broad range of allocation problems that actually confront engineers, programmers and analysts in today's business and industrial worlds, this book takes readers step-by-step through all the mathematical programming techniques--including the trailblazing Karmarkar algorithm--needed to excel in any operations research course. It's easy to see why the first edition of this invaluable study guide sole more than 35,000 copies! It cuts down study time while it builds essential skills.