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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
Simulation Fundamentals
Core Simulation Concepts
Simulation Definition and Purpose
Time Representation in Simulation
Events and Event Scheduling
Activities and Processes
Simulation Clock Mechanisms
Simulation Execution Methods
Next-Event Time Advance
Fixed-Increment Time Advance
Combined Time Advance
Simulation States and Transitions
State Variables
State Changes
Transition Rules
State Space Representation
Advantages and Limitations of Simulation
Benefits of Simulation Approach
Disadvantages and Pitfalls
When to Use Simulation
When Not to Use Simulation
Cost-Benefit Considerations
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3. Model Theory and Concepts
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5. The Simulation Study Methodology