What is Matlab and what is it used for?

We’ll discuss MatLab, which is comparable to other well-known programming languages like Java, C+, etc. in that it comes with its own IDE (which is the Integrated Development Environment) and a set of libraries. Each programming language has a certain function and history. What is Matlab and what is it used for?

Since it was originally referred to as a matrix programming language, Matlab is an acronym for the phrase «Matrix Laboratory.» This language is of the fourth generation. It was created by Cleve Moler, who at the time oversaw the University of New Mexico’s computer science program.

MATLAB (matrix laboratory) is a fourth-generation high-level programming language and interactive environment for numerical computation, visualization and programming. MATLAB® is a programming platform designed specifically for engineers and scientists to analyze and design systems and products that transform our world. The heart of MATLAB is the MATLAB language, a matrix-based language allowing the most natural expression of computational mathematics.

MATLAB is developed by MathWorks.

It allows matrix manipulations; plotting 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 plots, and performing numerical methods. MATLAB’s Power of Computational Mathematics 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 Plotting and graphics
  • Linear Algebra
  • Algebraic Equations
  • Non-linear Functions
  • Statistics
  • Data Analysis
  • Calculus and Differential Equations
  • Numerical Calculations
  • Integrations
  • Transforms
  • Curve Fitting
  • Various other special functions

Features of MATLAB

It is a high-level language for numerical computation, visualization and application development. It also provides an interactive environment for iterative exploration, design and problem solving. It provides vast library of mathematical functions for linear algebra, statistics, Fourier analysis, filtering, optimization, numerical integration and solving ordinary differential equations. It provides built-in graphics for visualizing data and tools for creating custom plots.

MATLAB’s programming interface gives development tools for improving code quality, maintainability, and maximizing performance. It provides tools for building applications with custom graphical interfaces. It provides functions for integrating MATLAB based algorithms with external applications and languages such as C, Java, .NET and Microsoft Excel.

Uses of MATLAB

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

Simulink is a simulation and model-based design environment for dynamic and embedded systems, integrated with MATLAB. Simulink, also developed by MathWorks, is a data flow graphical programming language tool for modeling, simulating and analyzing multi-domain dynamic systems. It is basically a graphical block diagramming tool with customizable set of block libraries.

It allows you to incorporate MATLAB algorithms into models as well as export the
simulation results into MATLAB for further analysis.

What Can I Do With MATLAB?

  • Analyze data
  • Develop algorithms
  • Create models and applications
Who Uses MATLAB?

Millions of engineers and scientists worldwide use MATLAB for a range of applications, in industry and academia, 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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