Description
MC GRAW HILL Introduction To Operations Research 10Th Edn 2017 Edition by Hillier, Lieberman, Nag, Basu
For over four decades, Introduction to Operations Research by Frederick Hillier 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. The hallmark features of this edition include new section and chapters, updated problems, clear and comprehensive coverage of fundamentals, an extensive set of interesting problems and cases, and state-of-the-practice operations research software used in conjunction with examples from the text. 1 Introduction2 Overview of the Operations Research Modeling Approach3 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 Dynamics Programming12 Integer Programming13 Nonlinear Programming14 Metaheuristics15 Game Theory16 Decision Analysis17 Queing ANalysis18 Inventory Analysis19 Markov Decision Processes20 SimulationAppendix 1 Documentation for the OR CoursewareAppendex 2 ConvexityAppendix 3 Classical Optimization MethodsAppendix 4 Matricies and Matrix OperationsAppendix 5 Table for a Normal Distribution