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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
19.
Simulation Software and Tools
19.1.
Programming Languages for Simulation
19.1.1.
General-Purpose Languages
19.1.2.
Simulation-Specific Languages
19.1.3.
Scripting Languages
19.1.4.
Domain-Specific Languages
19.2.
Commercial Simulation Software
19.2.1.
Discrete Event Simulation Tools
19.2.2.
Continuous Simulation Tools
19.2.3.
Agent-Based Modeling Tools
19.2.4.
System Dynamics Tools
19.3.
Open Source Simulation Tools
19.3.1.
Programming Libraries
19.3.2.
Standalone Applications
19.3.3.
Web-Based Tools
19.4.
Software Selection Criteria
19.4.1.
Modeling Capabilities
19.4.2.
Analysis Features
19.4.3.
User Interface
19.4.4.
Cost Considerations
19.4.5.
Support and Documentation
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18. Advanced Simulation Topics
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20. Visualization and Animation