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Titlebook: Introduction to MATLAB for Engineers and Scientists; Solutions for Numeri Sandeep Nagar Book 2017 Sandeep Nagar 2017 MATLAB.intro.tutorial.

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發(fā)表于 2025-3-21 20:05:49 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Introduction to MATLAB for Engineers and Scientists
副標(biāo)題Solutions for Numeri
編輯Sandeep Nagar
視頻videohttp://file.papertrans.cn/474/473850/473850.mp4
概述A quick practical introduction to learning the MATLAB programming language.Includes sample code examples along the way.Also includes a case study sample to conclude the book
圖書(shū)封面Titlebook: Introduction to MATLAB for Engineers and Scientists; Solutions for Numeri Sandeep Nagar Book 2017 Sandeep Nagar 2017 MATLAB.intro.tutorial.
描述Familiarize yourself with MATLAB using this concise, practical tutorial that is focused on writing code to learn concepts. Starting from the basics, this book covers array-based computing, plotting and working with files, numerical computation formalism, and the primary concepts of approximations. .Introduction to MATLAB. is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation..In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First you’ll see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts.?.What You‘ll Learn.Apply sample code to your engineering or science problems.Work with MATLAB arrays, functions, and loops?.Use MATLAB’s plotting functions for data visualization.Solve numerical computing and computational engineering problems with a MATLAB case study.Who This Book Is For.Engineers, scientists, researchers, and students who are new to MATLAB. Some prior programming experience would be h
出版日期Book 2017
關(guān)鍵詞MATLAB; intro; tutorial; practical; workbook; learn; programming; math; engineer; science; code; software; sourc
版次1
doihttps://doi.org/10.1007/978-1-4842-3189-0
isbn_softcover978-1-4842-3188-3
isbn_ebook978-1-4842-3189-0
copyrightSandeep Nagar 2017
The information of publication is updating

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Plotting,alysis of numerical results has been a challenge for scientists all over the world. Many commercial software programs have been very successful in satisfying this need. MATLAB also provides this facility. Its plotting features include choosing from various types of plots in 2D and 3D, enhancing plot
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Functions and Loops,h greater speed than humans. Loops perform exactly these tasks. Using a condition to check the start and termination rules, you can perform repetitive parts of a process easily. Different programming languages and environments have different rules for defining loops. MATLAB provides a much simpler w
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Approximate answers in numerical computation,xact answer by solving the problem analytically, another alternative is to develop methods to produce approximate answers. This is particularly true for solutions involving irrational numbers like pi. You can choose the number of significant digits to be used with pi and determine the accuracy of th
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