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Introduction to MATLAB for Researchers and Engineering Students
This article explainsthe technicalsoftware known as MATLAB and the simulation techniques. MATLAB has many advantages compared to most conventional computer language for solving technical problems. Is has an interactive system whose basic data element is an array that does not require dimensioning. This article gives any user a guide on how to operate the software and simulate with it as well etc. Introduction MATLAB stands for MATrixLABoratory and the software is built up around vectors and matrices. MATLAB is a high-performance language for technical computing. This makes the software particularly useful for linear algebra but MATLAB is also a great tool for solving algebraic and differential equations and for numerical integration. MATLAB has powerful graphic tools and can produce nice pictures in both 2D and 3D. It is also a programming language, and is one of the easiest programming languages for writing mathematical programs. MATLAB also has some tool boxes useful for signal processing, image processing, optimization, etc
Bioimage Data Analysis Workflows
What You Learn from This Chapter You will be introduced to some of the powerful and flexible image-analysis methods native to MATLAB. You will also learn to use MATLAB to simulate a time-series of Brownian motion (diffusion), to analyse time-series data, and to plot and export the results as pretty figures ready for publication. If this is the first time you code, except from writing Macros in ImageJ, then this will also serve as a crash course in programming for you. 5.1 Tools We shall be using the commercial software package MATLAB as well as some of its problem specific toolboxes, of which there are currently more than 30. 5.1.1 MATLAB Don't panic! MATLAB is easy to learn and easy to use. But you do still have to learn it. MATLAB is short for matrix laboratory, hinting at why MATLAB is so popular in the imaging community-remember that an image is just a matrix of numbers. MATLAB is commercial software for numerical, as opposed to symbolic, computing. This material was developed and tested using versions R2015b, R2016a, R2017a, and R2018a of MATLAB. 5.1.2 Image Processing Toolbox Absolutely required if you want to use MATLAB for image analysis. 5.1.3 Statistics and Machine Learning Toolbox, Curve Fitting Toolbox Somewhat necessary for data-analysis, though we can get quite far with the core functionalities alone. 5.2 Getting Started with MATLAB That is what we are doing here! However, if you have to leave now and still want an interactive first experience: Head over here, sign up, and take a free, two hour, interactive tutorial that runs in your web-browser and does not require a MATLAB license (they also have paid in-depth courses). 5.2.1 Baby Steps Start MATLAB and lets get going! When first starting, you should see something similar to. Fig. 5.1 17 12 Tool-strip Script-editor Command-line Variables Directory. Fig. 5.1 The full MATLAB window with default layout of the windows. Some preset layouts are accessible in the tool-strip, under the HOME tab, in the Layout pull-down menu. Double-click on the top-bar of any sub-window to maximize it, double-click again to revert S. F. Nørrelykke. Fig. 5.2 The command window in MATLAB after entering 5+7 and hitting the return key. The result, 12, is displayed and stored in the variable ans
A Brief Introduction to MATLAB™
Springer tracts in mechanical engineering, 2018
MATLAB ™ is a programming language. It is widely used for technical computation, programming and visualization of data. The scientists of this generation are taught the use of MATLAB ™ in tackling diverse problems. MATLAB will be used to demonstrate the FEM process in this book and therefore it is important to offer a brief introduction to MATLAB. This chapter presents an elementary introduction to MATLAB ™. For experienced users of MATLAB ™ , it is okay to skip this chapter. However, if one is not conversant with MATLAB ™ then this brief introduction will equip you with skills to understand MATLAB ™ and appreciate its in subsequent chapters. The brief introduction will cover manipulation of data, visualization of data as two-and three-dimensional profiles and finally the principles of programming (scripts) development.
The main objective of this book is to provide the students with the opportunity to improve their programming skills using the MATLAB environment to implement algorithms and to teach the use of MATLAB as a tool in solving problems in engineering. This book includes the coverage of basics of MATLAB and application of MATLAB software to solve problems in electrical circuits, control systems, numerical methods, optimization, direct numerical integration methods in engineering. With this foundation of basic MATLAB applications in engineering problem solving, the book provides opportunities to explore advanced topics in application of MATLAB as a tool.