Hands-On Simulation Modeling with Python,: Develop simulation models for improved efficiency and precision in the decision-making process

Table of Contents

1. Introducing simulation models
2. Understanding Randomness and Random Numbers
3. Probability and Data Generating Process
4. Working with Monte Carlo Simulations
5. Simulation-Based Markov Decision Process
6. Resampling methods
7. Improving and optimizing systems
8. Introducing evolutionary systems
9. Simulation models for Financial Engineering
10. Simulating Physical Phenomena by Neural Networks
11. Modeling and Simulation for Project Management
12. Simulation Model for Fault Diagnosis in dynamic system
13. What is next?