000			02975nam a22002537i 4500
999			_c77 _d77
005			20190718114901.0
008			100713t xxu||||f |||| 00| 0 eng d
020			_a9780130488084
040			_cdlc _erda
082			_221 _a001.424 _bT.H.O
100	1		_aTaha, Hamdy A., _918859 _eauthor.
245	1	0	_aOperations research: _ban introduction/ _cHamdy A. Taha.
250			_aseventh edition.
264			_aUpper Saddle River, N.J. _bPrentice Hall _c2003
300			_axvii, 830 pages. : _billustrations ; _c27 cm. + _e1 CD-ROM (4 3/4 in.)
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
505			_a 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.
520			_aFor 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. From the Publisher: Major revision is designed to meet the needs of beginning through advanced students with an emphasis placed on the formulation and applications aspects. Provides balanced coverage of theory, applications and computations of operations research techniques. Numerical examples are main vehicle for explaining new ideas with each numeric example followed by a set of problems. TORA and SIMNET software included in text. More than 1,000 problems.
650			_aOperations research.
650			_aProgramming.
942			_cBK _2ddc