1 Introduction
2 Overview of the Operations Research Modeling Approach
3 Introduction to Linear Programming
4 Solving Linear Programming Problems: The Simplex Method
5 The Theory of the Simplex Method
6 Duality Theory and Sensitivity Analysis
7 Other Algorithms for Linear Programming
8 The Transportation and Assignment Problems
9 Network Optimization Models
10 Dynamic Programming
11 Integer Programming
12 Nonlinear Programming
13 Metaheuristics
14 Game Theory
15 Decision Analysis
16 Markov Chains
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
Supplements on the CD-ROM and the Online Learning Center
Additional Cases
Supplement to Appendix 3.1 More about LINGO
Supplement to Chapter 7 Linear Goal Programming and Its Solution Procedures
Supplement to Chapter 8 A Case Study with Many Transportation Problems
Supplement 1 to Chapter 18 Derivation of the Optimal Policy for the Stochastic Single-Period Model for Perishable Products
Supplement 2 to Chapter 18 Stochastic Periodic-Review Models
Supplement 1 to Chapter 20 Variance-Reducing Techniques
Supplement 2 to Chapter 20 Regenerative Method of Statistical Analysis
21 The Art of Modeling with Spreadsheets
22 Project Management with PERT/CPM
23 Additional Special Types of Linear Programming Problems
24 Probability Theory
25 Reliability
26 The Application of Queueing Theory
27 Forecasting
28 Examples of Performing Simulations on Spreadsheets with Crystal Ball
Appendix 6 Simultaneous Linear Equations
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.
1995 No primary address
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