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Computer Science
System Modeling
System Modeling and Simulation
1. Introduction to System Modeling and Simulation
2. System Theory Fundamentals
3. Model Theory and Concepts
4. Simulation Fundamentals
5. The Simulation Study Methodology
6. Discrete-Event Simulation
7. Continuous Simulation
8. System Dynamics
9. Agent-Based Modeling
10. Monte Carlo Simulation
11. Hybrid and Multi-Paradigm Simulation
12. Input Modeling and Data Analysis
13. Random Number and Variate Generation
14. Model Verification and Validation
15. Output Analysis and Statistical Methods
16. Experimental Design for Simulation
17. Simulation Optimization
18. Advanced Simulation Topics
19. Simulation Software and Tools
20. Visualization and Animation
21. Applications and Case Studies
22. Professional Practice and Ethics
Random Number and Variate Generation
Random Number Theory
Pseudo-Random vs True Random
Uniformity Properties
Independence Properties
Periodicity and Cycle Length
Random Number Generators
Linear Congruential Generators
Multiple Recursive Generators
Tausworthe Generators
Mersenne Twister
Combined Generators
Testing Random Number Quality
Statistical Tests
Empirical Tests
Theoretical Tests
Battery of Tests
Random Variate Generation Techniques
Inverse Transform Method
Acceptance-Rejection Method
Composition Method
Convolution Method
Special-Purpose Methods
Generating Specific Distributions
Uniform Distribution
Exponential Distribution
Normal Distribution
Gamma Distribution
Beta Distribution
Discrete Distributions
Multivariate Random Variate Generation
Multivariate Normal
Copula-Based Methods
Transformation Methods
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12. Input Modeling and Data Analysis
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14. Model Verification and Validation