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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
16.
Experimental Design for Simulation
16.1.
Design of Experiments Principles
16.1.1.
Factors and Responses
16.1.2.
Experimental Units
16.1.3.
Randomization
16.1.4.
Replication
16.1.5.
Blocking
16.2.
Factorial Designs
16.2.1.
Full Factorial Designs
16.2.2.
Fractional Factorial Designs
16.2.3.
Two-Level Designs
16.2.4.
Multi-Level Designs
16.3.
Response Surface Methodology
16.3.1.
First-Order Models
16.3.2.
Second-Order Models
16.3.3.
Central Composite Designs
16.3.4.
Box-Behnken Designs
16.4.
Screening Designs
16.4.1.
Plackett-Burman Designs
16.4.2.
Definitive Screening Designs
16.4.3.
Sequential Screening
16.5.
Space-Filling Designs
16.5.1.
Latin Hypercube Designs
16.5.2.
Orthogonal Arrays
16.5.3.
Uniform Designs
16.6.
Sequential Experimentation
16.6.1.
Adaptive Designs
16.6.2.
Sequential Screening
16.6.3.
Response Surface Exploration
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15. Output Analysis and Statistical Methods
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17. Simulation Optimization