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    MATLAB Roadmap to Applications

    Volume I Fundamental

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    Author(s)
    Chen, Yi
    Huang, Long
    Language
    English
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    Abstract
    This open access book presents a comprehensive guide to MATLAB programming, catering to students, engineers, and researchers seeking to harness MATLAB as a powerful tool for their work. The text meticulously covers fundamental concepts, progressing from basic elements such as types and operators to more complex structures like arrays and matrices. It elucidates key programming constructs including selection statements, loop structures, scripts, and functions, providing readers with a solid foundation in MATLAB programming. The book's structure is carefully crafted to facilitate step-by-step learning, with each chapter building upon previous knowledge. Abundant examples and exercises reinforce understanding, while dedicated sections on data visualisation, algorithm development, and practical applications in engineering, science, and finance demonstrate MATLAB's versatility across disciplines. A distinguishing feature of this volume is its inclusion of laboratory work and coursework, allowing readers to apply theoretical concepts to real-world scenarios. This hands-on approach enhances the learning experience and prepares users for practical implementation of MATLAB in their respective fields. In the current era of artificial intelligence, this book serves as an essential resource for those seeking to leverage MATLAB's capabilities. It not only equips readers with programming skills but also illustrates how MATLAB can be integrated into cutting-edge research and industry applications.
    URI
    https://library.oapen.org/handle/20.500.12657/100821
    Keywords
    Professional Programming Skills; Algorithms; Fundamentals; MATLAB; SIMULINK
    DOI
    10.1007/978-981-97-8788-3
    ISBN
    9789819787876
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Singapore, 2025
    Imprint
    Springer Nature Singapore
    Classification
    Artificial intelligence
    Electrical engineering
    Maths for engineers
    Pages
    593
    Rights
    http://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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