Useful Links
Systems Science
Operations Research
1. Introduction to Operations Research
2. Mathematical Preliminaries
3. Linear Programming
4. Transportation and Assignment Problems
5. Network Optimization Models
6. Integer Programming
7. Nonlinear Programming
8. Dynamic Programming
9. Stochastic Processes and Markov Chains
10. Queueing Theory
11. Inventory Theory
12. Simulation
13. Decision Analysis
14. Heuristics and Metaheuristics
Decision Analysis
Decision Making Under Uncertainty
Decision Environment Classification
Payoff Tables and Matrices
Decision Criteria
Maximax Criterion
Maximin Criterion
Minimax Regret Criterion
Laplace Criterion
Hurwicz Criterion
Decision Making Under Risk
Expected Value Criterion
Expected Opportunity Loss
Decision Trees
Tree Construction
Probability Assignment
Rollback Analysis
Sensitivity Analysis
Value of Information
Expected Value of Perfect Information
Expected Value of Sample Information
Efficiency of Information
Utility Theory
Utility Functions and Risk Attitudes
Risk Averse
Risk Neutral
Risk Seeking
Utility Function Assessment
Expected Utility Maximization
Certainty Equivalent
Risk Premium
Multi-Attribute Decision Making
Multiple Objectives
Attribute Identification
Weight Assessment
Multi-Attribute Utility Theory
Analytic Hierarchy Process
Game Theory
Two-Person Zero-Sum Games
Game Matrix
Pure Strategies
Mixed Strategies
Saddle Points
Solution Methods
Dominance Principle
Graphical Method
Linear Programming Approach
Non-Zero-Sum Games
Nash Equilibrium
Previous
12. Simulation
Go to top
Next
14. Heuristics and Metaheuristics