Hillier/Lieberman 8/e
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Student Edition
Instructor Edition
Introduction to Operations Research, 8/e

Frederick S Hillier, Stanford University
Gerald J Lieberman, Stanford University

ISBN: 0073017795
Copyright year: 2005

Table of Contents

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
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
Chapter 21 The Art of Modeling with Spreadsheets
Chapter 22 Project Management with PERT/CPM
Chapter 23 Additional Special Types of Linear Programming Problems
Chapter 24 Probability Theory
Chapter 25 Reliability
Chapter 26 The Application of Queueing Theory
Chapter 27 Forecasting
Chapter 28 Examples of Performing Simulations on Spreadsheets with Crystal Ball
Appendix 6 Simultaneous Linear Equations
Introduction to Operations Research Cover

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