Hands-On Simulation Modeling with Python: Develop simulation models for improved efficiency and precision in the decision-making process, 2nd Edition - Brossura

Giuseppe Ciaburro

Brossura

ISBN 10: 1804616885 ISBN 13: 9781804616888

Casa editrice: Packt Publishing, 2022

Riassunto

Get to grips with constructing state of the art simulation models with python.

Key Features

• Understand various statistical and physical simulations to improve systems using Python
• Learn to create a numerical prototype of a real model using hands-on examples
• Evaluate performance and output results based on how the prototype would work in the real environment

Book Description

This book is a comprehensive guide to understand various computational statistical simulations using Python.

This book will start with the required foundation to understand various methods and techniques to delve into complex topics. Developers working with simulation models will be able to put their knowledge to work with this practical guide. The book provides a hands-on approach to implementation and associated methodologies that will have you up-and-running, and productive in no time.

Complete with step-by-step explanations of essential concepts, practical examples and self-assessment questions, you will begin by exploring the numerical simulation algorithms, including an overview of relevant applications. You'll learn how to use Python to develop simulation model and understand how to use the several Python packages. You will then explore various numerical simulation algorithms and concepts, such as Markov Decision Process, Monte Carlo methods, and bootstrapping techniques. By the end of this book, you will be able to construct simulation models.

What you will learn

• Get to grips with the concepts of randomness and data generation process
• Delve into Resampling methods
• Learn how to work with Monte Carlo Simulations
• Use simulation to improve or optimize systems
• Learn how to run efficient simulations to analyze real-world systems
• Learn to run efficient simulations to analyze real-world systems

Who This Book Is For

This book is for Data Scientists, simulation engineers, or anyone who is already familiar with the basic computational methods but now wants to implement various simulation techniques such as Monte-Carlo methods, statistical simulation using Python.

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?

Su questo libro

Informazioni sull?autore

Giuseppe Ciaburro holds a PhD in environmental technical physics, along with two master's degrees holds a master's degree in chemical engineering from Università degli Studi di Napoli Federico II, and a master's degreeand in acoustic and noise control from Seconda Università degli Studi di Napoli. He works at the Built Environment Control Laboratory - Università degli Studi della Campania "Luigi Vanvitelli".He has over 15 20 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 Python and R, and he has extensive experience of working with MATLAB. An expert in acoustics and noise control, Giuseppe has wide experience in teaching professional computer ITC courses (about 15 20 years), dealing with e-learning as an author. He has several publications to his credit: monographs, scientific journals, and thematic conferences. He is currently researching machine learning applications in acoustics and noise control. He was recently included in the world's top 2% scientists list by Stanford University.

Dettagli dell'edizione

• Editore: Packt Publishing
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 1804616885
• ISBN 13: 9781804616888
• Rilegatura: Copertina flessibile
• Numero edizione: 2
• Numero di pagine: 468
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile