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Introduction to Operations Research, 11th Edition
ISBN10: 1259872998 | ISBN13: 9781259872990
© 2021
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* The estimated amount of time this product will be on the market is based on a number of factors, including faculty input to instructional design and the prior revision cycle and updates to academic research-which typically results in a revision cycle ranging from every two to four years for this product. Pricing subject to change at any time.
Instructor Details
For over four decades, Introduction to Operations Research has been the classic text on operations research. While building on the classic strengths of the text, the author continues to find new ways to make the text current and relevant to students. One way is by incorporating a wealth of state-of-the art, user-friendly software and more coverage of business applications than ever before. When the first co-author received the prestigious Expository Writing Award from INFORMS for a recent edition, the award citation described the reasons for the book’s great success as follows:
“Two features account for this success. First, the editions have been outstanding from students’ points of view due to excellent motivation, clear and intuitive explanations, good examples of professional practice, excellent organization of material, very useful supporting software, and appropriate but not excessive mathematics. Second, the editions have been attractive from instructors’ points of view because they repeatedly infuse state-of-the-art material with remarkable lucidity and plain language.”
1) Introduction
2) Overview of How Operations Research and Analytics Professionals Analyze Problems
3) Introduction to Linear Programming
4) Solving Linear Programming Problems: The Simplex Method
5) The Theory of the Simplex Method
6) Duality Theory
7) Linear Programming under Uncertainty
8) Other Algorithms for Linear Programming
9) The Transportation and Assignment Problems
10) Network Optimization Models
11) Dynamic Programming
12) Integer Programming
13) Nonlinear Programming
14) Metaheuristics
15) Game Theory
16) Decision Analysis
17) Queueing Theory
18) Inventory Theory
19) Markov Decision Processes
20) Simulation
Appendix 1 - Documentation for the OR Courseware
Appendix 2 - Convexity
Appendix 3 - Classical Optimization Methods
Appendix 4 - Matrices and Matrix Operations
Appendix 5 - Table for a Normal Distribution
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