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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
11.
Hybrid and Multi-Paradigm Simulation
11.1.
Combining Simulation Paradigms
11.1.1.
Discrete-Continuous Hybrid Models
11.1.2.
Agent-Based and System Dynamics Integration
11.1.3.
Multi-Level Modeling
11.1.4.
Multi-Scale Modeling
11.2.
Integration Challenges
11.2.1.
Time Synchronization
11.2.2.
Data Exchange
11.2.3.
Model Coupling
11.2.4.
Interface Design
11.3.
Implementation Approaches
11.3.1.
Sequential Execution
11.3.2.
Parallel Execution
11.3.3.
Hierarchical Decomposition
11.3.4.
Federated Simulation
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10. Monte Carlo Simulation
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12. Input Modeling and Data Analysis