Solution manual for Introduction to Operations Research Hillier Lieberman 9th edition

solutions manual Introduction to Operations Research Hillier Lieberman 9th edition

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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
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

Additional Cases
Supplement to Chapter 7 Linear Goal Programming and Its Solution Procedures
Supplement 1 to Chapter 18 Derivation of the Optimal Policy for the Stochastic Single-Period
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
Supplement 3 to Chapter 20 Optimizing with OptQuest
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