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Autor Tópico: Learn MATLAB  (Lida 181 vezes)

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Learn MATLAB
« em: 12 de Setembro de 2019, 09:53 »

Learn MATLAB
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | Lec: 41 | 872 MB
Genre: eLearning | Language: English

Master the concepts of MATLAB and do projects

MATLAB is a programming language developed by MathWorks. It started out as a matrix programming language where linear algebra programming was simple. It can be run both under interactive sessions and as a batch job. This tutorial gives you aggressively a gentle introduction of MATLAB programming language. It is designed to give students fluency in MATLAB programming language. Problem-based MATLAB examples have been given in simple and easy way to make your learning fast and effective.MATLAB (matrix laboratory) is a fourth-generation high-level programming language and interactive environment for numerical computation, visualization and programming.

It allows matrix manipulations; Descriptionting of functions and data; implementation of algorithms; creation of user interfaces; interfacing with programs written in other languages, including C, C++, Java, and FORTRAN; analyze data; develop algorithms; and create models and applications.

It has numerous built-in commands and math functions that help you in mathematical calculations, generating Descriptions, and performing numerical methods.

There are several reasons as to why you should take this course and learn MATLAB:

MATLAB is used in every facet of computational mathematics. Following are some commonly used mathematical calculations where it is used most commonly :

Dealing with Matrices and Arrays
2-D and 3-D Descriptionting and graphics
Linear Algebra
Algebraic Equations
Non-linear Functions
Statistics
Data Analysis
Calculus and Differential Equations
Numerical Calculations
Integration
Transforms
Curve Fitting
Various other special functions
MATLAB is widely used as a computational tool in science and engineering encompassing the fields of physics, chemistry, math and all engineering streams. It is used in a range of applications including −

Signal Processing and Communications
Image and Video Processing
Control Systems
Test and Measurement
Computational Finance
Computational Biology


               
                               
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