MATLAB 2022a from Beginner to Mastery

Name: MATLAB 2022a from Beginner to Mastery
ISBN: 9787121457296

魏鑫 / 周楠Publishing House of Electronics Industry · ChinaJul 2023

3.0

Word count: 148K words
Chapters: 23
ISBN: 9787121457296

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Summary

Using MATLAB R2022a as its software platform and drawing on the author's more than 20 years of learning and experience, this book explains MATLAB's fundamentals and problem-solving methods from a beginner's perspective. It is accessible yet rigorous, example-driven, and detailed, making it easy to learn and use.

The book has 13 chapters covering the MATLAB interface, fundamentals, vectors and matrices, arrays, data types and operators, programming and debugging, matrix operations, data visualization, graphics processing and manipulation, an overview of mathematical functions, symbolic computation, numerical computation, input and output, Simulink system simulation, optimization problem solving, mathematical modeling applications, signal processing applications, image processing applications, and more. The language is plain and easy to understand, and the content is rich and detailed. The book stands out for its example-centered approach: through numerous examples it combines theory with practice, helping readers master MATLAB quickly and easily.

This book can serve as a textbook for relevant majors in universities, vocational colleges, and training institutions, and as a self-study resource for beginners starting from zero and for engineers and researchers with some background. It is especially suitable for teachers and students preparing for mathematical modeling competitions.

Editor's review

Using MATLAB R2022a as its platform, this book systematically walks zero-foundation readers through the full knowledge chain—from interface operations, matrices and arrays, data types and operators, to programming and debugging, numerical and symbolic computation, data visualization, input/output, and Simulink simulation. Its defining feature is its example-centered approach: syntax explanations are embedded in concrete operational tasks, so readers grasp MATLAB's vectorized thinking and matrix-operation logic by following along rather than memorizing commands. The book also covers optimization problem solving, mathematical modeling, signal processing, and image processing, helping readers connect the language tool with professional problems. For teachers and students preparing for mathematical modeling competitions, the modeling and solving chapters offer direct reference value; for engineers and researchers, it serves as a practical handbook for desk reference and self-study. The language is plain and the chapters progress from easy to advanced, making it suitable as a course textbook or a roadmap for systematic self-study—though readers must still type code alongside to turn it into real ability.

Who it's for

A good fit for

University science and engineering students with no foundation who want to learn MATLAB systematically
Teachers and students preparing for mathematical modeling competitions who need to get up to speed quickly on modeling and solving
Engineers and technicians with some background who need to consult matrix operations and simulation features
Learners in vocational colleges or training institutions who need a textbook-style learning path

Not a good fit for

Experienced MATLAB users seeking advanced algorithms or in-depth use of toolboxes
Readers who want to specialize in one vertical domain (such as deep learning frameworks) and do not need general foundations
Pure theory readers who only want to understand programming concepts and do not intend to operate the software

Reading tips

Proceed in chapter order and immediately reproduce each example in the software after finishing a section—avoid reading without practicing.
Treat matrix operations, programming, and data visualization as the core; practice them repeatedly before moving on to Simulink and the application chapters.
Readers preparing for modeling competitions can first jump to the chapters on mathematical modeling and optimization solving, then go back to fill in basic syntax.
Adapt the book's examples into small problems in your own professional field, using the adaptations to test whether you have truly mastered the material.

About the publisher

Publishing House of Electronics Industry China · Founded in 1982

The Publishing House of Electronics Industry is a comprehensive publisher distinguished by its focus on electronic information and related fields. Judging from the more than 3,000 titles in its catalogue, its publishing covers programming and design, artificial intelligence, computer science, finance and economics, photography, and social sciences, attending both to cutting-edge technology and to general readers. Representative titles include Factor Investing: Methods and Practice, x86 Assembly Language: From Real Mode to Protected Mode, The RISC-V Reader, Artificial Intelligence: Speech Recognition, Understanding and Practice, Phased Array Radar Technology, Radar Target Characteristics, and 100 Go Mistakes and How to Avoid Them, most of which centre on technical methods and engineering practice. Its authors include Shi Chuan, Li Zhong, Wang Xiaobo, David Patterson, Andrew Waterman, and Yu Zihao, among others from China and abroad. Owing to limited public information, no further publishing features are elaborated here.

版权信息
作者简介
内容简介
前言
第一篇 MATLAB基础知识
第1章 MATLAB概述
第2章向量、矩阵与数组
第3章数据类型与运算符
第4章程序设计与调试
第5章矩阵运算
第6章数据可视化
第7章图形处理与操作
第8章数学函数通览
第9章符号运算
第10章数值计算
第11章输入与输出
第12章 Simulink系统仿真
第二篇 MATLAB综合应用
第13章优化问题求解
第14章数学建模应用
第15章信号处理应用
第16章图像处理应用
参考文献

FAQ

Can I read this book directly without any programming background?

Yes. The book starts with the interface and fundamentals, assumes zero background, and guides understanding through numerous examples. But MATLAB emphasizes hands-on practice: read while operating the software, and when you hit an error, consult the debugging chapter to troubleshoot. The learning effect will be clearly better than pure reading.

Does the content apply to other versions of MATLAB?

The book is written for MATLAB R2022a. Core syntax, matrix operations, and programming content are highly portable across similar versions, but interface layouts and some new features may change between versions. With other versions, follow the book's ideas while treating the menus and functions on your installed version as authoritative.

How does this book help with mathematical modeling competitions?

The book includes optimization problem solving, mathematical modeling applications, numerical computation, and data visualization—content related to the solving and plotting needs common in modeling competitions. Readers can practice the workflow from problem to code, but competitions also require targeted training on specific problems and team division of labor.

What level can I reach after finishing the book?

After practicing seriously along the book's path, you should master basic MATLAB operations, matrix and array operations, programming and debugging, common numerical and symbolic computation, data visualization, and introductory Simulink, and understand application directions such as signal processing and image processing—equipping you to independently write small to medium-sized scripts to solve problems.

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About the author

魏鑫 Author

Wei Xin is the author of Chinese technical books in the fields of software learning and programming design, though public information about the author is limited. The known works focus on MATLAB, a software tool for scientific computing and engineering simulation, and include MATLAB R2020a: From Beginner to Mastery (Upgraded Edition) and MATLAB 2022a: From Beginner to Mastery, both tutorial-style guides. Books of this kind are usually organized around a specific software version and cover both basic operations and more advanced applications, serving beginners as well as readers who want a systematic grasp of the tool. The choice of topics suggests an interest in keeping pace with new software releases and in presenting practical skills in an orderly way, with a clear, step-by-step and comprehensive style that helps readers learn progressively. As the available records provide no information on the author's nationality, dates, education, or career, no speculation is made here; this introduction is based solely on the existing works and categories.

周楠 Author

Zhou Nan is an author about whom limited public information is available. At present, only three works are known under this name, spanning biography, finance and economics, and programming and design. One of them, a biography of the renowned ophthalmologist Zhang Xiaolou, belongs to the general biography category. Another, a study on the statistical measurement of the coordinated development of China's manufacturing and service industries, reflects an interest in economic research. The third, an introductory-to-mastery guide to MATLAB 2022a, is aimed at readers learning programming and design. Judging from the wide range of these subjects, Zhou Nan's writing covers biography, economic statistics and technical application, combining readable expression for general readers with structured knowledge and practical guidance for professional study. Since no public information is available on dates of birth and death, nationality, education or career, little can be said about the author's personal background; readers may form an impression of the writing through the subjects and contents of these works.