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Titlebook: Introduction to Octave; For Engineers and Sc Sandeep Nagar Book 2018 Sandeep Nagar 2018 Octave.open source.numerical.engineers.scientist.sc

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發(fā)表于 2025-3-21 20:06:19 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Introduction to Octave
副標(biāo)題For Engineers and Sc
編輯Sandeep Nagar
視頻videohttp://file.papertrans.cn/474/473991/473991.mp4
概述A quick practical hands-on tutorial for learning the Octave programming package.Includes sample code examples throughout this learn-by-doing book.Octave is a free, open-source alternative to the popul
圖書封面Titlebook: Introduction to Octave; For Engineers and Sc Sandeep Nagar Book 2018 Sandeep Nagar 2018 Octave.open source.numerical.engineers.scientist.sc
描述Familiarize yourself with Octave 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 in Octave, which can run MATLAB files without modification. .Introduction to Octave. 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 Octave arrays, functions, andloops?.Use Octave’s plotting functions for data visualization.Solve numerical computing and computational engineering problems with Octave.Who This Book Is For.Engineers, scientists, researchers, and students who are new to Octave. Some prior programming experience would be helpful but not required..
出版日期Book 2018
關(guān)鍵詞Octave; open source; numerical; engineers; scientist; science; programming; software; application; source; cod
版次1
doihttps://doi.org/10.1007/978-1-4842-3201-9
isbn_softcover978-1-4842-3200-2
isbn_ebook978-1-4842-3201-9
copyrightSandeep Nagar 2018
The information of publication is updating

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Mathematical Expressions,eed of execution depends on the user’s machine’s hardware. Older computers having less RAM and slower processors will take longer to execute a program than newer computers. Speed also depends on the processor’s availability for requests from Octave. Most of the newer computers perform calculations a
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Functions and Loops,itive tasks with much greater speed and accuracy than humans. . perform exactly this task. Using a condition to check the start and termination rules, loops can perform repetitive parts of a process easily. Different programming languages and environments have different rules for defining loops.
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chnological advancements and other related trends are contributing to the production of an astoundingly large and exponentially increasing collection of data and information, referred to in popular vernacular as “Big Data.” ?Social media and crowdsourcing platforms and various applications ― “apps”
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發(fā)表于 2025-3-23 00:58:27 | 只看該作者
Sandeep Nagarraditional, and emerging issues related to big data.EncompasThis encyclopedia will be an essential resource for our times, reflecting the fact that we currently are living in an expanding data-driven world. ?Technological advancements and other related trends are contributing to the production of an
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Sandeep Nagarchnological advancements and other related trends are contributing to the production of an astoundingly large and exponentially increasing collection of data and information, referred to in popular vernacular as “Big Data.” ?Social media and crowdsourcing platforms and various applications ― “apps”
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