Hands-On Simulation Modeling with Python,
Develop simulation models for improved efficiency and precision in the decision-making process
2nd Edition
Published on 21. May 2024
460 pages
978-1-80461-446-4 (ISBN)
Description
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Giuseppe Ciaburro
Hands-On Simulation Modeling with Python
Develop simulation models for improved efficiency and precision in the decision-making process, 2nd Edition
Book
11/2022
2nd Edition
Packt Publishing
€58.30
Shipment within 3-4 weeks
Person
Ciaburro Giuseppe :
Giuseppe Ciaburro holds a PhD and two master's degrees. He works at the Built Environment Control Laboratory - Università degli Studi della Campania "Luigi Vanvitelli". He has over 25 years of work experience in programming, first in the field of combustion and then in acoustics and noise control. His core programming knowledge is in MATLAB, Python and R. As an expert in AI applications to acoustics and noise control problems, Giuseppe has wide experience in researching and teaching. He has several publications to his credit: monographs, scientific journals, and thematic conferences. He was recently included in the world's top 2% scientists list by Stanford University (2022).
Giuseppe Ciaburro holds a PhD and two master's degrees. He works at the Built Environment Control Laboratory - Università degli Studi della Campania "Luigi Vanvitelli". He has over 25 years of work experience in programming, first in the field of combustion and then in acoustics and noise control. His core programming knowledge is in MATLAB, Python and R. As an expert in AI applications to acoustics and noise control problems, Giuseppe has wide experience in researching and teaching. He has several publications to his credit: monographs, scientific journals, and thematic conferences. He was recently included in the world's top 2% scientists list by Stanford University (2022).
Content
Table of Contents - Introducing simulation models
- Understanding Randomness and Random Numbers
- Probability and Data Generating Process
- Working with Monte Carlo Simulations
- Simulation-Based Markov Decision Process
- Resampling methods
- Improving and optimizing systems
- Introducing evolutionary systems
- Simulation models for Financial Engineering
- Simulating Physical Phenomena by Neural Networks
- Modeling and Simulation for Project Management
- Simulation Model for Fault Diagnosis in dynamic system
- What is next?
- Understanding Randomness and Random Numbers
- Probability and Data Generating Process
- Working with Monte Carlo Simulations
- Simulation-Based Markov Decision Process
- Resampling methods
- Improving and optimizing systems
- Introducing evolutionary systems
- Simulation models for Financial Engineering
- Simulating Physical Phenomena by Neural Networks
- Modeling and Simulation for Project Management
- Simulation Model for Fault Diagnosis in dynamic system
- What is next?
