For junior/senior undergraduate and first-year graduate courses in Operations Research in departments of Industrial Engineering, Business Administration, Statistics, Computer Science, and Mathematics.
Designed to meet the needs of beginning through advanced students, this text provides balanced coverage of the theory, applications, and computations of operations research techniques-with a focus on deterministic models, probabilistic models, and nonlinear models. Exceptionally up-to-date, it features intensive use of modern computational tools, including the all-new and extremely-powerful Windows-based TORA (R), Excel (R) spreadsheets, Excel Solver (R), LINGO (R) and AMPL (R). These tools are integrated throughout the text in a manner that facilitates introducing and testing concepts that otherwise could not be presented effectively. Many concepts can be demonstrated instantly, simply by changing the data of the problem.
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Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Maße
Höhe: 235 mm
Breite: 179 mm
Dicke: 31 mm
Gewicht
ISBN-13
978-0-13-048808-4 (9780130488084)
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Schweitzer Klassifikation
Hamdy A. Taha is a University Professor of Industrial Engineering with the University of Arkansas, where he teaches and conducts research in operations research and simulation. He is the author of three other books on integer programming and simulation, and his works have been translated into Chinese, Korean, Spanish, Japanese, Russian, Turkish, and Indonesian. He is also the author of several book chapters. His articles have appeared in Management Science, Operations Research, and Interfaces Institute for Operations Research and Management Science, Naval Research Logistics John Wiley & Sons, the European Journal of Operations Research International Federation of Operations Research Societies and the AIIE Transactions.
Professor Taha was named a Senior Fulbright Scholar to Carlos III University, Madrid, Spain. He received an Alumni Award for excellence in research and The Nadine Baum Faculty Teaching Award, both from the University of Arkansas, and numerous other research and teaching awards from the College of Engineering, University of Arkansas. He is fluent in three languages and has held positions in Mexico and the Middle East.
1. What Is Operations Research?
2. Introduction To Linear Programming.
3. The Simplex Method.
4. Duality and Sensitivity Analysis.
5. Transportation Model and its Variants.
6. Network Models.
7. Advanced Linear Programming.
8. Goal Programming.
9. Integer Linear Programming.
10. Deterministic Dynamic Programming.
11. Deterministic Inventory Models.
12. Review of Basic Probability.
13. Forecasting Models.
14. Decision Analysis and Games.
15. Probabilistic Dynamic Programming.
16. Probabilistic Inventory Models.
17. Queueing Systems.
18. Simulation Modeling.
19. Markovian Decision Process.
20. Classical Optimization Theory.
21. Nonlinear Programming Algorithms.
Appendix A. Review of Vectors and Matrices.
Appendix B. TORA Primer.
Appendix C. Statistical Tables.
Appendix D. Partial Solution to Selected Problems.
Index.
