Chapter 1 – Introduction
Chapter 2 – Overview of the Operations Research Modeling Approach
Chapter 3 – Introduction to Linear Programming
Chapter 4 – Solving Linear Programming Problems: The Simplex Method
Chapter 5 – The Theory of the Simplex Method
Chapter 6 – Duality Theory
Chapter 7 – Linear Programming under Uncertainty
Chapter 8 – Other Algorithms for Linear Programming
Chapter 9 – The Transportation and Assignment Problems
Chapter 10 – Network Optimization Models
Chapter 11 – Dynamic Programming
Chapter 12 – Integer Programming
Chapter 13 – Nonlinear Programming
Chapter 14 – Metaheuristics
Chapter 15 – Game Theory
Chapter 16 – Decision Analysis
Chapter 17 – Queueing Theory
Chapter 18 – Inventory Theory
Chapter 19 – Markov Decision Processes
Chapter 20 – Simulation
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 Analytic Solver Platform
Chapter 29 – Markov Chains