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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
Continuous Simulation
Mathematical Foundations
Differential Equations
System of Equations
State Variables and Derivatives
Initial Conditions
Boundary Conditions
Numerical Integration Methods
Euler Method
Runge-Kutta Methods
Adams Methods
Predictor-Corrector Methods
Stiff System Solvers
Model Structure and Representation
Block Diagram Representation
Signal Flow Graphs
State Space Models
Transfer Function Models
Implementation Considerations
Step Size Selection
Numerical Stability
Accuracy Control
Error Estimation
Application Areas
Physical Systems
Chemical Processes
Biological Systems
Economic Models
Environmental Systems
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6. Discrete-Event Simulation
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8. System Dynamics