Ciaburro Hands-On Simulation Modeling with Python

Develop simulation models to get accurate results and enhance decision-making processes
1. Auflage 2020
ISBN: 978-1-83898-865-4
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 346 Seiten

No detailed description available for "Hands-On Simulation Modeling with Python".

Autoren/Hrsg.

Ciaburro, Giuseppe

Fachgebiete

• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computersimulation & Modelle, 3-D Graphik
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie

Inhaltsverzeichnis

Table of Contents - Introducing Simulation Models
- Understanding Randomness and Random Numbers
- Probability and Data Generating Processes
- Exploring Monte Carlo Simulations

- Simulation-Based Markov Decision Process

- Resampling Methods

- Using Simulations to Improve and Optimize Systems
- Using Simulation Models for Financial Engineering

- Simulating Physical Phenomena Using Neural Networks

- Modeling and Simulation for Project Management

- What's Next?

Über Autor(innen)

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).