Introduction to Operations Research is 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 the textbook, 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) Introduction2) Overview of How Operations Research and Analytics Professionals Analyze Problems3) Introduction to Linear Programming4) Solving Linear Programming Problems: The Simplex Method5) The Theory of the Simplex Method6) Duality Theory7) Linear Programming under Uncertainty8) Other Algorithms for Linear Programming9) The Transportation and Assignment Problems10) Network Optimization Models11) Dynamic Programming12) Integer Programming13) Nonlinear Programming14) Metaheuristics15) Game Theory16) Decision Analysis17) Queueing Theory18) Inventory Theory19) Markov Decision Processes20) SimulationAppendix 1 - Documentation for the OR CoursewareAppendix 2 - ConvexityAppendix 3 - Classical Optimization MethodsAppendix 4 - Matrices and Matrix OperationsAppendix 5 - Table for a Normal Distribution