Lecture 6: Functions | Exploring MATLAB
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In this lecture, we will see how useful MATLAB functions really are. We’ll also write our own beautiful functions as well as get familiar with some common MATLAB functions. Here is the outline of this lecture:
00:03 What are functions ?
00:31 The “help” command
01:35 1st way: Create your own function
03:39 The “disp” command
04:15 if-else conditionals
05:22 Document your function
06:12 2nd way: Create your own function
07:24 The “max” function
MATLAB is a multi paradigm programming environment that is tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics, directly.
Get a free MATLAB Trial: https://goo.gl/ZHFb5u
MATLAB toolboxes are professionally developed, rigorously tested, and fully documented.
MATLAB apps let you see how different algorithms work with your data. Iterate until you’ve got the results you want, then automatically generate a MATLAB program to reproduce or automate your work.
Scale your analyses to run on clusters, GPUs, and clouds with only minor code changes. There’s no need to rewrite your code or learn big data programming and out-of-memory techniques.
MATLAB® is a programming platform designed specifically for engineers and scientists. The heart of MATLAB is the MATLAB language, a matrix-based language allowing the most natural expression of computational mathematics.
What can you do with MATLAB?
Using MATLAB, you can:
•Analyze, visualize and infer data
•Develop algorithms that are useful, practical, and efficient.
•Create models and applications
The language, apps, and built-in math functions enable you to quickly explore multiple approaches to arrive at a solution. MATLAB lets you take your ideas from research to production by deploying to enterprise applications and embedded devices, as well as integrating with Simulink® and Model-Based Design.
Who uses MATLAB?
Millions of engineers and scientists in industry and academia use MATLAB. You can use MATLAB for a range of applications, including deep learning and machine learning, signal processing and communications, image and video processing, control systems, test and measurement, computational finance, and computational biology.
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