Introduction To Modeling And Simulation With Matlab And Python

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Introduction To Modeling And Simulation With Matlab And Python

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Author : Steven I. Gordon
language : en
Publisher: CRC Press
Release Date : 2017-07-12

Introduction To Modeling And Simulation With Matlab And Python written by Steven I. Gordon and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-12 with Computers categories.

Introduction to Modeling and Simulation with MATLAB and Python is intended for students and professionals in science, social science, and engineering that wish to learn the principles of computer modeling, as well as basic programming skills. The book content focuses on meeting a set of basic modeling and simulation competencies that were developed as part of several National Science Foundation grants. Even though computer science students are much more expert programmers, they are not often given the opportunity to see how those skills are being applied to solve complex science and engineering problems and may also not be aware of the libraries used by scientists to create those models. The book interleaves chapters on modeling concepts and related exercises with programming concepts and exercises. The authors start with an introduction to modeling and its importance to current practices in the sciences and engineering. They introduce each of the programming environments and the syntax used to represent variables and compute mathematical equations and functions. As students gain more programming expertise, the authors return to modeling concepts, providing starting code for a variety of exercises where students add additional code to solve the problem and provide an analysis of the outcomes. In this way, the book builds both modeling and programming expertise with a "just-in-time" approach so that by the end of the book, students can take on relatively simple modeling example on their own. Each chapter is supplemented with references to additional reading, tutorials, and exercises that guide students to additional help and allows them to practice both their programming and analytical modeling skills. In addition, each of the programming related chapters is divided into two parts – one for MATLAB and one for Python. In these chapters, the authors also refer to additional online tutorials that students can use if they are having difficulty with any of the topics. The book culminates with a set of final project exercise suggestions that incorporate both the modeling and programming skills provided in the rest of the volume. Those projects could be undertaken by individuals or small groups of students. The companion website at http://www.intromodeling.com provides updates to instructions when there are substantial changes in software versions, as well as electronic copies of exercises and the related code. The website also offers a space where people can suggest additional projects they are willing to share as well as comments on the existing projects and exercises throughout the book. Solutions and lecture notes will also be available for qualifying instructors.

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

Anais Do Workshop De Micro Ondas

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Author : Alexandre Maniçoba De Oliveira
language : en
Publisher: Clube de Autores
Release Date : 2025-05-18

Anais Do Workshop De Micro Ondas written by Alexandre Maniçoba De Oliveira and has been published by Clube de Autores this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-18 with Biography & Autobiography categories.

Este livro é a compilação de todos os artigos que foram apresentados no LBX/WMO’24 – XVI Workshop de Micro-ondas do Laboratório Maxwell em outubro de 2024, estando disponíveis para consulta digital pelo endereço https://anais.wmo.labmax.org.

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.

Informs Annual Meeting

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Author : Institute for Operations Research and the Management Sciences. National Meeting
language : en
Publisher:
Release Date : 2009

Informs Annual Meeting written by Institute for Operations Research and the Management Sciences. National Meeting and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Industrial management categories.

Learn Aspen Plus In 24 Hours Second Edition

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Author : Thomas A. Adams II
language : en
Publisher: McGraw Hill Professional
Release Date : 2022-01-07

Learn Aspen Plus In 24 Hours Second Edition written by Thomas A. Adams II 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 2022-01-07 with Technology & Engineering categories.

Quickly start using the current version of Aspen Plus® to solve chemical engineering problems Discover how to solve chemical engineering problems with Aspen Plus® in just 24 hours, with no prior experience. Thoroughly revised for the latest distribution, this self-learning guide features detailed mathematical models for a wide range of chemical process equipment, including heat exchangers, pumps, compressors, turbines, distillation columns, and chemical reactors. Divided into 12 two-hour lessons, Learn Aspen Plus® in 24 Hours, Second Edition shows, step by step, how to build process models and simulations without performing tedious calculations. You will also get downloadable Aspen Plus simulation files and helpful quick starter templates. Inside, you will learn how to: Get up and running with Aspen Plus Accurately model physical property Work with Aspen Plus’ problem solving tools Create equilibrium- and rate-based distillation models Build chemical reactor models Incorporate connections to Microsoft Excel and Python in your Aspen Plus models Estimate capital costs Optimize heat exchanger networks Simulate electrolyte chemistry and CO2 capture Employ parallel computing and optimization Choose property packages

Physical Modeling With Matlab

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Author : Allen Downey
language : en
Publisher: No Starch Press
Release Date : 2020

Physical Modeling With Matlab written by Allen 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 2020 with Computers categories.

An introduction to modeling and simulating physical systems with MATLAB, mathematical computing software for engineers and scientists. A concise introduction to programming and modeling real world systems with MATLAB, a popular programming language for science and engineering. Unlike competing books which are often too mathematical and theoretical, this book by best-selling author Allen Downey is designed to be practical, with an emphasis on thinking about how to design and use models. The author shows you that systems may have many possible models and shows you how to justify modeling decisions, choose appropriate models, validate your choices, and iteratively improve your models. You are taught basic programming skills and how to combine them with MATLAB to model and simulate systems like population growth, baseball flight trajectories, bungee jumping, and celestial mechanics. For example, the book explores concepts like the Penny Drop Myth: the claim that a penny dropped from the top of the Empire State Building lands with enough force to injure a person or the sidewalk. The author addresses this myth by developing and implementing three models of the system, including or excluding features like air resistance and spin. Other physical systems include animal population growth, the coffee cooling problem, baseball trajectories, bungee jumping, and celestial mechanics. You'll learn to use MATLAB to visualize and summarize your results, as well as how to use your models to predict, explain, and design systems. The book presents applications from a range of areas including demography, thermodynamics, epidemiology, ecology, pharmacokinetics, and mechanics. Numerous exercises, sample code, and MATLAB Live Scripts (notebooks that include code, results, and explanatory text) help you develop the knowledge and skills necessary to work comfortably in MATLAB.

Newsletter

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Author :
language : en
Publisher:
Release Date : 2000

Newsletter written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Electromagnetism categories.

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.

Introduction To Synthetic Aperture Radar Concepts And Practice

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Author : E. David Jansing
language : en
Publisher: McGraw Hill Professional
Release Date : 2021-04-23

Introduction To Synthetic Aperture Radar Concepts And Practice written by E. David Jansing 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 2021-04-23 with Technology & Engineering categories.

Explore the principles and applications of synthetic aperture radar This comprehensive guide offers a solid grounding in synthetic aperture radar (SAR) fundamentals and techniques. Written by a remote sensing and signal processing expert, Introduction to Synthetic Aperture Radar: Concepts and Practice clearly explains data collection, image formation, error correction, and image quality. You will get concise descriptions of commonly used image formation algorithms, including the Range-Doppler Algorithm (RDA) and the Polar Formatting Algorithm (PFA). Continuous wave LFM systems, interferometry, polarimetry, and moving objects are discussed in detail. Coverage includes: Origins of synthetic aperture radar Ranging and imaging Image formation and image processing tools Linear frequency-modulated chirp Image formation algorithms for quadrature demodulated data Image formation algorithms for dechirped data Autofocus Image quality and speckle reduction Linear frequency-modulated continuous wave systems Remote sensing Interferometry Moving objects in SAR