Lecture 3: Matrices & Arrays | Exploring MATLAB
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5 سال پیش
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In this lecture, we will discuss the MOST IMPORTANT operations that you need to know to create and manipulate matrices and vectors in MATLAB. The outline is as follows:
00:50 Creating Arrays/Vectors
04:04 Creating Matrices
06:59 The zeros matrix
07:06 The ones matrix
07:11 The identity matrix
07:45 The random (uniform) matrix
08:10 Adding to a matrix
08:58 Scaling a matrix
09:17 Trigonometric functions
09:22 Transposing a matrix
09:36 Matrix Inversion
09:57 Matrix-Vector Multiplication
10:10 Matrix-Matrix Multiplication
10:19 Elementwise Matrix Multiplication
11:14 Elementwise Matrix Exponentiation
11:44 Stacking Vectors
12:34 Complex Matrices
13:44 Conjugate-Transposition (Hermitian)
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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In this lecture, we will discuss the MOST IMPORTANT operations that you need to know to create and manipulate matrices and vectors in MATLAB. The outline is as follows:
00:50 Creating Arrays/Vectors
04:04 Creating Matrices
06:59 The zeros matrix
07:06 The ones matrix
07:11 The identity matrix
07:45 The random (uniform) matrix
08:10 Adding to a matrix
08:58 Scaling a matrix
09:17 Trigonometric functions
09:22 Transposing a matrix
09:36 Matrix Inversion
09:57 Matrix-Vector Multiplication
10:10 Matrix-Matrix Multiplication
10:19 Elementwise Matrix Multiplication
11:14 Elementwise Matrix Exponentiation
11:44 Stacking Vectors
12:34 Complex Matrices
13:44 Conjugate-Transposition (Hermitian)
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.
keywords: gurobi matlab,cplex matlab,tensorflow matlab,matlab cost,comsol matlab,matlab to python,the mathworks,computer programming with matlab,matlab python,featool multiphysics,matlab and,matlab for mechanical engineers,labview matlab,matlab for electrical engineers,udemy matlab,edx matlab,matlab stateflow,matlab home,matlab linux,get matlab,coursera matlab,matlab on ramp,mathematica matlab,matlab online,matlab programming,matlab fpga,matlab 32 bit
5 سال پیش
در تاریخ 1398/03/01 منتشر شده
است.
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