An introduction to Operations research : A computer-Oriented algorithmic approach / by Billey E Gilett

By: Gilett, Billey EMaterial type: TextTextPublication details: New York. : McGraw, 1976Description: 617 p. : ill. ; 24 cmISBN: 9780070993198 (pbk)Subject(s): Operations research | Programming (Mathematics)DDC classification: 658.4
Contents:
Ch. 1. What Is Operations Research? -- Ch. 2. Introduction to Linear Programming -- Ch. 3. The Simplex Method -- Ch. 4. Duality and Sensitivity Analysis -- Ch. 5. Transportation Model and Its Variants -- Ch. 6. Network Models -- Ch. 7. Advanced Linear Programming -- Ch. 8. Goal Programming -- Ch. 9. Integer Linear Programming -- Ch. 10. Deterministic Dynamic Programming -- Ch. 11. Deterministic Inventory Models -- Ch. 12. Review of Basic Probability -- Ch. 13. Forecasting Models -- Ch. 14. Decision Analysis and Games -- Ch. 15. Probabilistic Dynamic Programming -- Ch. 16. Probabilistic Inventory Models -- Ch. 17. Queuing Systems -- Ch. 18. Simulation Modeling -- Ch. 19. Markovian Decision Process -- Ch. 20. Classical Optimization Theory -- Ch. 21. Nonlinear Programming Algorithms -- App. A. Review of Vectors and Matrices -- App. B. TORA Primer.
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Item type Current library Call number Status Date due Barcode Item holds
Books Books Namal Library
Management
658.4 GIL-I 2012 4117 (Browse shelf (Opens below)) Available 0004117
Books Books Namal Library
Management
658.4 TAH-O 2003 3514 (Browse shelf (Opens below)) Available 0003514
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Includes bibliographical references and index.

Ch. 1. What Is Operations Research? -- Ch. 2. Introduction to Linear Programming -- Ch. 3. The Simplex Method -- Ch. 4. Duality and Sensitivity Analysis -- Ch. 5. Transportation Model and Its Variants -- Ch. 6. Network Models -- Ch. 7. Advanced Linear Programming -- Ch. 8. Goal Programming -- Ch. 9. Integer Linear Programming -- Ch. 10. Deterministic Dynamic Programming -- Ch. 11. Deterministic Inventory Models -- Ch. 12. Review of Basic Probability -- Ch. 13. Forecasting Models -- Ch. 14. Decision Analysis and Games -- Ch. 15. Probabilistic Dynamic Programming -- Ch. 16. Probabilistic Inventory Models -- Ch. 17. Queuing Systems -- Ch. 18. Simulation Modeling -- Ch. 19. Markovian Decision Process -- Ch. 20. Classical Optimization Theory -- Ch. 21. Nonlinear Programming Algorithms -- App. A. Review of Vectors and Matrices -- App. B. TORA Primer.

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