Hands On Simulation Modeling With Python

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Hands On Simulation Modeling With Python

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Author : Giuseppe Ciaburro
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-07-17

Hands On Simulation Modeling With Python written by Giuseppe Ciaburro and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-17 with Computers categories.

Enhance your simulation modeling skills by creating and analyzing digital prototypes of a physical model using Python programming with this comprehensive guide Key Features Learn to create a digital prototype of a real model using hands-on examples Evaluate the performance and output of your prototype using simulation modeling techniques Understand various statistical and physical simulations to improve systems using Python Book Description Simulation modeling helps you to create digital prototypes of physical models to analyze how they work and predict their performance in the real world. With this comprehensive guide, you'll understand various computational statistical simulations using Python. Starting with the fundamentals of simulation modeling, you'll understand concepts such as randomness and explore data generating processes, resampling methods, and bootstrapping techniques. You'll then cover key algorithms such as Monte Carlo simulations and Markov decision processes, which are used to develop numerical simulation models, and discover how they can be used to solve real-world problems. As you advance, you'll develop simulation models to help you get accurate results and enhance decision-making processes. Using optimization techniques, you'll learn to modify the performance of a model to improve results and make optimal use of resources. The book will guide you in creating a digital prototype using practical use cases for financial engineering, prototyping project management to improve planning, and simulating physical phenomena using neural networks. By the end of this book, you'll have learned how to construct and deploy simulation models of your own to overcome real-world challenges. What you will learn Gain an overview of the different types of simulation models Get to grips with the concepts of randomness and data generation process Understand how to work with discrete and continuous distributions Work with Monte Carlo simulations to calculate a definite integral Find out how to simulate random walks using Markov chains Obtain robust estimates of confidence intervals and standard errors of population parameters Discover how to use optimization methods in real-life applications Run efficient simulations to analyze real-world systems Who this book is for Hands-On Simulation Modeling with Python is for simulation developers and engineers, model designers, and anyone already familiar with the basic computational methods that are used to study the behavior of systems. This book will help you explore advanced simulation techniques such as Monte Carlo methods, statistical simulations, and much more using Python. Working knowledge of Python programming language is required.

Hands On Simulation Modeling With Python

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Author : Giuseppe Ciaburro
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-11-30

Hands On Simulation Modeling With Python written by Giuseppe Ciaburro and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-30 with Technology & Engineering categories.

Learn to construct state-of-the-art simulation models with Python and enhance your simulation modelling skills, as well as create and analyze digital prototypes of physical models with ease Key FeaturesUnderstand various statistical and physical simulations to improve systems using PythonLearn to create the numerical prototype of a real model using hands-on examplesEvaluate performance and output results based on how the prototype would work in the real worldBook Description Simulation modelling is an exploration method that aims to imitate physical systems in a virtual environment and retrieve useful statistical inferences from it. The ability to analyze the model as it runs sets simulation modelling apart from other methods used in conventional analyses. This book is your comprehensive and hands-on guide to understanding various computational statistical simulations using Python. The book begins by helping you get familiarized with the fundamental concepts of simulation modelling, that'll enable you to understand the various methods and techniques needed to explore complex topics. Data scientists working with simulation models will be able to put their knowledge to work with this practical guide. As you advance, you'll dive deep into numerical simulation algorithms, including an overview of relevant applications, with the help of real-world use cases and practical examples. You'll also find out how to use Python to develop simulation models and how to use several Python packages. Finally, you'll get to grips with various numerical simulation algorithms and concepts, such as Markov Decision Processes, Monte Carlo methods, and bootstrapping techniques. By the end of this book, you'll have learned how to construct and deploy simulation models of your own to overcome real-world challenges. What you will learnGet to grips with the concept of randomness and the data generation processDelve into resampling methodsDiscover how to work with Monte Carlo simulationsUtilize simulations to improve or optimize systemsFind out how to run efficient simulations to analyze real-world systemsUnderstand how to simulate random walks using Markov chainsWho this book is for This book is for data scientists, simulation engineers, and anyone who is already familiar with the basic computational methods and wants to implement various simulation techniques such as Monte-Carlo methods and statistical simulation using Python.

Hands On Simulation Modeling With Python

DOWNLOAD
Author : Giuseppe Ciaburro
language : en
Publisher: Packt Publishing
Release Date : 2022-11-30

Hands On Simulation Modeling With Python written by Giuseppe Ciaburro and has been published by Packt Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-30 with categories.

Learn to construct state-of-the-art simulation models with Python and enhance your simulation modelling skills, as well as create and analyze digital prototypes of physical models with ease Key Features: Understand various statistical and physical simulations to improve systems using Python Learn to create the 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 world Book Description: Simulation modelling is an exploration method that aims to imitate physical systems in a virtual environment and retrieve useful statistical inferences from it. The ability to analyze the model as it runs sets simulation modelling apart from other methods used in conventional analyses. This book is your comprehensive and hands-on guide to understanding various computational statistical simulations using Python. The book begins by helping you get familiarized with the fundamental concepts of simulation modelling, that'll enable you to understand the various methods and techniques needed to explore complex topics. Data scientists working with simulation models will be able to put their knowledge to work with this practical guide. As you advance, you'll dive deep into numerical simulation algorithms, including an overview of relevant applications, with the help of real-world use cases and practical examples. You'll also find out how to use Python to develop simulation models and how to use several Python packages. Finally, you'll get to grips with various numerical simulation algorithms and concepts, such as Markov Decision Processes, Monte Carlo methods, and bootstrapping techniques. By the end of this book, you'll have learned how to construct and deploy simulation models of your own to overcome real-world challenges. What You Will Learn: Get to grips with the concept of randomness and the data generation process Delve into resampling methods Discover how to work with Monte Carlo simulations Utilize simulations to improve or optimize systems Find out how to run efficient simulations to analyze real-world systems Understand how to simulate random walks using Markov chains Who this book is for: This book is for data scientists, simulation engineers, and anyone who is already familiar with the basic computational methods and wants to implement various simulation techniques such as Monte-Carlo methods and statistical simulation using Python.

Simulation Modeling And Analysis Sixth Edition

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Author : Averill M. Law
language : en
Publisher: McGraw Hill Professional
Release Date : 2025-02-21

Simulation Modeling And Analysis Sixth Edition written by Averill M. Law and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-21 with Technology & Engineering categories.

Comprehensive, state-of-the-art coverage of every important simulation technique This fully-revised book has the most comprehensive and up-to-date coverage of all aspects of a simulation study. Equally well suited for use in university courses, simulation practice, and self-study, the book offers clear and intuitive explanations as well as 300 figures, 218 examples, and 217 problems. You will get detailed discussions on modeling and simulation, simulation software, model verification and validation, input modeling, random-number and variate generation, statistical design and analysis of simulation experiments, experimental design, simulation optimization, agent-based simulation, machine learning, and much more. Authored by an operations research analyst and industrial engineer with more than 40 years of experience, Simulation Modeling and Analysis is widely regarded as the “bible” of simulation and now has more than 178,000 copies in print and 23,700 citations. This sixth edition has been streamlined, with several chapters downsized to eliminate outdated simulation programs or statistical techniques that are rarely used in practice and are unnecessarily complicated. Most analyses of simulation output data can now be done using three simple and familiar statistical formulas or expressions. A new chapter covers AI and machine learning and their application to simulation. Covers what are arguably the three most-innovative and popular simulation-software packages: AnyLogic, FlexSim, and Simio Includes a set of instructor’s resources Has been used at universities such as University of California-Berkeley, Stanford, Georgia Tech, Michigan, Cornell, Purdue, Virginia Tech, Penn State, Wisconsin, Columbia, Texas A&M, Washington, and Johns Hopkins Written by a world-class expert in the field and an experienced educator who has presented more than 550 simulation and statistics short courses in 20 countries

Maynard S Industrial And Systems Engineering Handbook Sixth Edition

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Author : Bopaya Bidanda
language : en
Publisher: McGraw Hill Professional
Release Date : 2022-09-16

Maynard S Industrial And Systems Engineering Handbook Sixth Edition written by Bopaya Bidanda and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-16 with Technology & Engineering categories.

The classic industrial engineering resource—fully updated for the latest advances Brought fully up to date by expert Bopaya M. Bidanda, this go-to handbook contains exhaustive, application-driven coverage of Industrial Engineering (IE) principles, practices, materials, and systems. Featuring contributions from scores of international professionals in the field, Maynard’s Industrial Engineering Handbook, Sixth Edition provides a holistic view of exactly what an Industrial Engineer in today’s world needs to succeed. All-new chapters and sections cover logistics, probability and statistics, supply chains, quality, product design, systems engineering, and engineering management. Coverage includes: Productivity Engineering economics Human factors, ergonomics, and safety Compensation management Facility logistics Planning and scheduling Operations research Statistics and probability Supply chains and quality Product design Manufacturing models and analysis Systems engineering Engineering management The global Industrial Engineer IE application environments

Modeling And Simulation In Python

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Author : Allen B. Downey
language : en
Publisher: No Starch Press
Release Date : 2023-05-30

Modeling And Simulation In Python written by Allen B. Downey and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-30 with Computers categories.

Modeling and Simulation in Python teaches readers how to analyze real-world scenarios using the Python programming language, requiring no more than a background in high school math. Modeling and Simulation in Python is a thorough but easy-to-follow introduction to physical modeling—that is, the art of describing and simulating real-world systems. Readers are guided through modeling things like world population growth, infectious disease, bungee jumping, baseball flight trajectories, celestial mechanics, and more while simultaneously developing a strong understanding of fundamental programming concepts like loops, vectors, and functions. Clear and concise, with a focus on learning by doing, the author spares the reader abstract, theoretical complexities and gets right to hands-on examples that show how to produce useful models and simulations.

Model Based Approaches To Learning

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Author : Patrick Blumschein
language : en
Publisher: Brill / Sense
Release Date : 2009

Model Based Approaches To Learning written by Patrick Blumschein and has been published by Brill / Sense this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Education categories.

Model-Based Approaches to Learning provides a new perspective called learning by system modeling. This book explores the learning impact of students when constructing models of complex systems. In this approach students are building their own models and engaging at a much deeper conceptual level of understanding of the content, processes, and problem solving of the domain, which is proven to be successful by research from the area of mindtools. Topics covered include the foundations of knowledge structures and mental model development, modeling for understanding, modeling for assessment, individual versus collaborative modeling, and the use of simulations to support learning and instruction in complex, cognitive domains. The thread tying these chapters together is an emphasis on what the learner is doing when he is engaged in modeling and simulation construction rather than merely interacting with constructed simulations. Model-Based Approaches to Learning is an interesting book for Educators (Instructors, K-12 Teachers), who are looking for forms to use advanced computer technology in classrooms. Also Teachers' educators who are working on the integration of technology into their teacher preparation classrooms can find new concepts and best-practice examples in this book. This also holds true for all Educators and Researchers who are interested in modeling as an activity to successfully work with ill-structured and complex problems.

Proceedings Of The 1998 International Conference On Web Based Modeling Simulation

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Author : Paul A. Fishwick
language : en
Publisher:
Release Date : 1998

Proceedings Of The 1998 International Conference On Web Based Modeling Simulation written by Paul A. Fishwick and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computers categories.

The aim of this proceedings is to focus on problems & perspectives of the World Wide Web as a tool for modeling & simulation. Web-based simulation represents a convergence of computer simulation methodologies & applications within the World Wide Web. There are many possible bridge areas between the Web & the simulation field. Web-based simulation does not mean only "distributed simulation" or "simulation documentation." The introduction & wide-spread use of the Web suggests that there are many areas where Web science & technology will meet simulation to provide impetus to both fields. This proceedings offers a sampling of some of the recent simulation projects placed into the framework of the Web. This first edition contains papers from government agencies, industry, & academia proposing simulation applications, tools, & methodologies, including a strong connection with the current Web, or a connection with the future state of the Web.

The 12th International Conference On Fracture Fatigue And Wear Ffw The 7th International Conference On Numerical Modelling In Engineering Nme

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Author : Magd Abdel Wahab
language : en
Publisher: Trans Tech Publications Ltd
Release Date : 2025-01-06

The 12th International Conference On Fracture Fatigue And Wear Ffw The 7th International Conference On Numerical Modelling In Engineering Nme written by Magd Abdel Wahab and has been published by Trans Tech Publications Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-06 with Technology & Engineering categories.

Selected peer-reviewed full text papers from the 12th International Conference on Fracture Fatigue and Wear (FFW) & the 7th International Conference on Numerical Modelling in Engineering (NME)

Modeling And Python Simulation Of Magnetics For Power Electronics Applications

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Author : Shivkumar V. Iyer
language : en
Publisher: Springer Nature
Release Date : 2022-06-20

Modeling And Python Simulation Of Magnetics For Power Electronics Applications written by Shivkumar V. Iyer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-20 with Technology & Engineering categories.

This book describes the role of magnetism in electrical engineering, starting from the most basic laws of physics, converted into simulation models such that electrical engineering students can learn by example and practice. The author demystifies a topic that many electrical engineers take for granted, providing readers the tools to be able to understand how any magnetic component works. He describes magnetic components like inductors and transformers in simple understandable language. Mathematical equations related to the basic laws of physics are described in detail along with the physical significance of the equations. Every application is supported by a simulation. All simulations are performed using free and open source software based on Python making the material in this book universally accessible.