ISE Introduction to Operations Research by Hillier, Frederick

Description: Professor emeritus of operations research at Stanford University. Dr. Hillier is especially known for his classic, award-winning text, Introduction to Operations Research, co-authored with the late Gerald J. Lieberman, which has been translated into well over a dozen languages and is currently in its 8th edition. The 6th edition won honorable mention for the 1995 Lanchester Prize (best English-language publication of any kind in the field) and Dr. Hillier also was awarded the 2004 INFORMS Expository Writing Award for the 8th edition. His other books include The Evaluation of Risky Interrelated Investments, Queueing Tables and Graphs, Introduction to Stochastic Models in Operations Research, and Introduction to Mathematical Programming. He received his BS in industrial engineering and doctorate specializing in operations research and management science from Stanford University. The winner of many awards in high school and college for writing, mathematics, debate, and music, he ranked first in his undergraduate engineering class and was awarded three national fellowships (National Science Foundation, Tau Beta Pi, and Danforth) for graduate study. Dr. Hilliers research has extended into a variety of areas, including integer programming, queueing theory and its application, statistical quality control, and production and operations management. He also has won a major prize for research in capital budgeting. 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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Location: Hillsdale, NSW

End Time: 2024-11-25T20:53:09.000Z

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