000			01554nam a22001817a 4500
005			20240918171207.0
008			240918b |||||||| |||| 00| 0 eng d
020			_a9789352865277
082			_a658.403 _bTAH
100			_aTaha, Hamdy A
245			_aOPERATIONS RESEARCH: _bAn Introduction _cHamdy A Taha
250			_a10
260			_aNOIDA; _bPearson; _c2019
300			_a843 p.
505			_t1. What Is Operations Research? 2. Modeling with Linear Programming 3. The Simplex Method and Sensitivity Analysis 4. Duality and Post-Optimal Analysis 5. Transportation Model and Its Variants 6. Network Models 7. Advanced Linear Programming 8. Goal Programming 9. Integer Linear Programming 10. Heuristic and Constraint Programming 11. Traveling Salesperson Problem (TSP) 12. Deterministic Dynamic Programming 13. Inventory Modeling (with Introduction to Supply Chains) 14. Review of Basic Probability 15. Decision Analysis and Games 16. Probabilistic Inventory Models 17. Markov Chains 18. Queuing Systems 19. Simulation Modeling 20. Classical Optimization Theory 21. Nonlinear Programming Algorithms
520			_a Operations Research provides a broad focus on algorithmic and practical implementation of Operations Research (OR) techniques, using theory, applications, and computations to teach students OR basics. The book can be used conveniently in a survey course that encompasses all the major tools of operations research, or in two separate courses on deterministic and probabilistic decision-making.
942			_2ddc _cBK
999			_c2411 _d2411