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Today, the editor brings you the article "A Closer Look (2): A Simple Understanding of Matlab"
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Dear, this is LearningYard Academy!
Today, the editor brings you the article “Yue Lan (2):
A simple understanding of Matlab.”
Welcome to visit！
一、思维导图(Mind mapping)
二、产品概述（Product overview）
Matlab is an advanced numerical computing and data visualization software developed by MathWorks, Inc., which was originally designed to simplify linear algebra and matrix operations, but quickly developed into a full-featured computing environment. Combining the capabilities of numerical analysis, scientific computing, data visualization, algorithm development, and interactive programming, MATLAB's concise syntax and intuitive interface lower the barrier to entry for complex computational tasks, allowing scientists, engineers, researchers, and students to focus on problem-solving rather than programming details.
Matlab is a kind of advanced numerical calculation and data visualization software developed by MathWorks Company in the United States. It was originally designed to simplify linear algebra and matrix operations, but it has rapidly developed into a fully functional computing environment. Matlab combines the functions of numerical analysis, scientific calculation, data visualization, algorithm development and interactive programming. Its concise grammar and intuitive interface lower the threshold of complex computing tasks, enabling scientists, engineers, researchers and students to focus on solving problems rather than programming details.
Its core includes the Matlab programming platform and Simulink simulation tools, which support a wide range of applications from simple mathematical operations to complex system design, with a variety of toolboxes such as signal processing, image processing, control system design, etc., to meet different scientific research and engineering needs. It includes an easy-to-learn and easy-to-use programming language, as well as a rich library of built-in functions for complex numerical calculations, data analysis, and algorithm implementation.
Its core includes Matlab programming platform and Simulink simulation tools, which support a wide range of applications from simple mathematical operations to complex system design, and cooperate with diverse toolboxes such as signal processing, image processing and control system design to meet different scientific research and engineering needs. It contains a programming language that is easy to learn and use, and a rich built-in function library, which is convenient for complex numerical calculation, data analysis and algorithm implementation.
三、工作环境（working environment）
The MATLAB work environment is a core component of its user interface, providing users with an integrated environment for programming, data analysis, visualization, and application development. Command line windows, workspaces, toolbars are the main components in the work environment.
The workspace in Matlab is a pivotal component of its user interface, serving as an integrated environment where users can engage in programming, data analysis, visualization, and application development. Key elements of this workspace include the command-line interface, the workspace pane, and toolbars.
The command-line window is the main interface for interacting with Matlab, where users can enter commands, function calls, script executions, etc., and get the output results immediately. The workspace window displays a list of all defined variables in the current Matlab session, including their names, sizes, data types, and bytes. The toolbar usually contains three tabs: Home, Drawing, and App, and provides buttons to quickly access commonly used functions, such as creating a new file, opening a file, saving a file, importing data, setting a path, and launching the drawing and application design.
The command-line interface is the primary interface for interacting with A, allowing users to input commands, function calls, script executions, and receive immediate output results. The workspace window displays a list of all variables currently defined within the A session, including their names, sizes, data types, and byte counts. The toolbar typically features three tabs—Home, Plotting, and Apps—providing quick-access buttons to frequently used functionalities such as creating new files, opening files, saving files, importing data, setting paths, as well as initiating graphing and application design operations.
The most abundant in the toolbar are applications, which can be divided into functional applications and subject applications. The Applications tab centralizes the ability to create, manage, and deploy custom applications, enabling non-programming or light programming users to build and use applications through a graphical user interface (GUI), while also enabling advanced users to develop and integrate at a deeper level.
The most abundant toolbar is application, which can be divided into functional application and subject application. The application tab focuses on the functions of creating, managing and deploying custom applications, which enables non-programming or lightly programming users to build and use applications through a graphical user interface (GUI), and also supports advanced users to carry out deeper development and integration.
四、简单运用（Simple application）
First of all, I would like to introduce five commonly used matrix generation functions to those who are just getting started.
First of all, introduce five commonly used matrix generation functions to beginners.
1. eye(m,n) can create an identity matrix of n columns in m rows.
1、Eye(m,n) can create a identity matrix with m rows and n columns.
2. ones(m,n) can create a matrix with n columns and n columns of m all 1.
2、Ones(m,n) can create an m-by-n matrix with all 1 elements.
3. Zeros(m,n) can create a matrix with all 0s in m rows and n columns.
3、Zeros(m,n)can create an m-by-n matrix with all 0 elements.
4. RAND(m,n) can create a random matrix of n rows and n columns.
4、Rand(m,n)can create a random matrix with m rows and n columns.
5. randn(m,n) can create a random matrix with n columns of m standard normal distribution.
5、Randn(m,n) can create a random matrix with m rows and n columns of standard normal distribution.
Let's share a simple code. Click on the Home page - Create Script and the editor window will open. Enter x=4+5, click Run, and the command line window will display the result. In this way, the first code is learned. It's not enough to learn theory, hands-on is the fastest learning, open your software and try it.
Next, share a simple code. Click "Create Script" on the home page, and the editing window will open. Enter x=4+5, click Run, and the result will be displayed in the command line window. In this way, the first code is learned. It's not enough to learn only theory. Hands-on is the fastest way to learn. Open your software and try it.
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Translation: Baidu Translation
References: Baidu, Bilibili, Xiaohongshu
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