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MATLAB Interview Preparation Guide
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MATLAB Interview Questions and Answers guide to educate about the Matlab is a numerical computing environment and programming language. You will learn in Matlab Interview Questions and Answers that MATLAB is a high-performance language for technical computing. It integrates computation, visualization, and programming in an easy-to-use environment where problems and solutions are expressed in familiar mathematical notation.

## 47 MATLAB Questions and Answers:

### 1 :: What Is MATLAB?

MATLAB is a high-performance language for technical computing. It integrates computation, visualization, and programming in an easy-to-use environment where problems and solutions are expressed in familiar mathematical notation. Typical uses include:

* Math and computation

* Algorithm development

* Modeling, simulation, and prototyping

* Data analysis, exploration, and visualization

* Scientific and engineering graphics

* Application development, including Graphical User Interface building

* Math and computation

* Algorithm development

* Modeling, simulation, and prototyping

* Data analysis, exploration, and visualization

* Scientific and engineering graphics

* Application development, including Graphical User Interface building

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### 2 :: What are the MATLAB System Parts?

The MATLAB system consists of five main parts:

* The MATLAB language.

* The MATLAB working environment.

* Handle Graphics.

* The MATLAB mathematical function library.

* The MATLAB Application Program Interface (API).

* The MATLAB language.

* The MATLAB working environment.

* Handle Graphics.

* The MATLAB mathematical function library.

* The MATLAB Application Program Interface (API).

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### 3 :: Explain The MATLAB language?

This is a high-level matrix/array language with control flow statements, functions, data structures, input/output, and object-oriented programming features. It allows both "programming in the small" to rapidly create quick and dirty throw-away programs, and "programming in the large" to create complete large and complex application programs.

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### 4 :: Explain The MATLAB working environment?

This is the set of tools and facilities that you work with as the MATLAB user or programmer. It includes facilities for managing the variables in your workspace and importing and exporting data. It also includes tools for developing, managing, debugging, and profiling M-files, MATLAB's applications.

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### 5 :: Explain Handle Graphics in Matlab?

This is the MATLAB graphics system. It includes high-level commands for two-dimensional and three-dimensional data visualization, image processing, animation, and presentation graphics. It also includes low-level commands that allow you to fully customize the appearance of graphics as well as to build complete Graphical User Interfaces on your MATLAB applications.

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### 6 :: Explain The MATLAB mathematical function library?

This is a vast collection of computational algorithms ranging from elementary functions like sum, sine, cosine, and complex arithmetic, to more sophisticated functions like matrix inverse, matrix eigenvalues, Bessel functions, and fast Fourier transforms.

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### 7 :: Explain The MATLAB Application Program Interface (API)?

This is a library that allows you to write C and Fortran programs that interact with MATLAB. It include facilities for calling routines from MATLAB (dynamic linking), calling MATLAB as a computational engine, and for reading and writing MAT-files.

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### 8 :: how to Add noise to an image in Matlab?

The function noise.m, now installed on ashland too, adds Gaussian, uniform, salt and pepper, additive or multiplicative noise to an image.

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### 9 :: What can we use Matlab for?

Simple calculations 2. Plotting and analyzing mathematical relationships (2D and 3D) 3. List & Matrix Operations 4. Writing script files (a type of programming) 5. Symbolic manipulation of equations 6. Advanced visualization, animation and GUI interface tools

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### 10 :: Vectorization What is that in Matlab? How to do it ?

Thinking is terms of full matrices/vectors and also some related functions for that * Use of filter(), which works beautifully for some time series models

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