Operations Research
An Introduction: United States Edition
6th Edition
Published on 17. January 1997
Book
Hardback
916 pages
978-0-13-272915-4 (ISBN)
Description
Appropriate for a variety of junior and senior undergraduate and first year graduate courses in operations research. Among these courses are Industrial Engineering, Business Administration, Statistics, Computer Science, and Mathematics.
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.
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.
More details
Edition
6th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
Dimensions
Height: 242 mm
Width: 180 mm
Thickness: 40 mm
Weight
1485 gr
ISBN-13
978-0-13-272915-4 (9780132729154)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Book
08/2002
7th Edition
Pearson
€60.80
Article exhausted; check for reprint
Previous edition
Book
12/1991
5th Edition
Macmillan USA
€54.61
Article exhausted; check for reprint
Content
1. Overview of Operations Research.
I. DETERMINISTIC MODELS.
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.
II. PROBABILISTIC 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.
III. NONLINEAR MODELS.
20. Classical Optimization Theory.
21. Nonlinear Programming Algorithms.
Appendix A: Review of Matrix Algebra.
Appendix B: Introduction to Simnet II.
Appendix C: Tora and Simnet II Installation and Execution.
Appendix D: Statistical Tables.
Appendix E: Answers to Odd-Numbered Problems.
Index.
I. DETERMINISTIC MODELS.
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.
II. PROBABILISTIC 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.
III. NONLINEAR MODELS.
20. Classical Optimization Theory.
21. Nonlinear Programming Algorithms.
Appendix A: Review of Matrix Algebra.
Appendix B: Introduction to Simnet II.
Appendix C: Tora and Simnet II Installation and Execution.
Appendix D: Statistical Tables.
Appendix E: Answers to Odd-Numbered Problems.
Index.