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Titlebook: Coding Examples from Simple to Complex; Applications in MATL Paul A. Gagniuc Book 2024 The Editor(s) (if applicable) and The Author(s), und

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發(fā)表于 2025-3-21 18:25:12 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Coding Examples from Simple to Complex
副標題Applications in MATL
編輯Paul A. Gagniuc
視頻videohttp://file.papertrans.cn/229/228878/228878.mp4
概述Includes over 200 examples, carefully designed to reinforce comprehension of Matlab concepts and computer languages.Explains the essentials of Matlab, including variables, conditionals, loops, arrays,
叢書名稱Synthesis Lectures on Computer Science
圖書封面Titlebook: Coding Examples from Simple to Complex; Applications in MATL Paul A. Gagniuc Book 2024 The Editor(s) (if applicable) and The Author(s), und
描述.This book provides a comprehensive guide to Matlab, which stands as the cornerstone of modern education?and is the main computer language driving development in science and engineering.?The author introduces readers to the rich world of Matlab, taking them on a journey from the fundamentals to advanced topics, equipping them with the knowledge and skills needed to become a proficient Matlab developer or scientist. The book provides a treasure trove of practical examples, meticulously crafted to deepen the reader understanding of Matlab. This comprehensive exploration is designed to cater to novice learners as well as mature developers and scientists, equipping them with the requisite knowledge and competencies to harness the Matlab full potential in their respective projects. From the basics of variable naming and program structure to complex matrix operations, recursion, and object-oriented programming, this book covers it all.?This book is part of a series of worksdesigned to present both the examples and their explanations in various computer languages, as close to a mirror version as possible..
出版日期Book 2024
關鍵詞Matlab; Matrix operations; Recursion; Object-oriented programming; JSON; Sequence alignment; Markov chains
版次1
doihttps://doi.org/10.1007/978-3-031-53805-6
isbn_softcover978-3-031-53807-0
isbn_ebook978-3-031-53805-6Series ISSN 1932-1228 Series E-ISSN 1932-1686
issn_series 1932-1228
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Ljiljana Brankovic,Helen Gigginsithm design. Conditional branching allows systems to execute different computations based on the evaluation of boolean conditions, simulating logical reasoning akin to human decision-making processes. Specifically, in MATLAB, this is achieved using the if, elseif, else, an
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https://doi.org/10.1057/978-1-137-55408-6of the most fundamental constructs in computer science. Arrays are defined as collections of items stored at contiguous memory locations, allowing for direct access to elements via indexing. This characteristic offers computational benefits in scenarios requiring quick retrieval of data. The text ex
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https://doi.org/10.1057/978-1-137-55408-6ces. A multidimensional array, or an array of arrays, facilitates data organization in a grid-like format, essential for fields such as image processing, data analysis, and simulations. The focus here is on the systematic exploration of each element within these structures, a process vital for data
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https://doi.org/10.1057/978-1-137-55408-6ity in engineering and scientific applications. MATLAB object-oriented features allow for the encapsulation of data and functions within objects, allowing for structured and modular programming. Through the use of classes—blueprints that define the properties (data) and methods (functions) of object
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Security, Territory, Populationsophisticated computer applications. As MATLAB continues to evolve, its versatility and power in handling complex challenges in software development are highlighted through detailed examples. These include building interactive applications for simulations, implementing intricate algorithms, and usin
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