Mathworks Matlab R2018a Update 3 Full





Mathworks Matlab R2018a Update 3 Full | 13.89 GB


MATLAB (short for "Matrix Laboratory") is a software package for solving technical computing problems and the programming language of the same name used in this package. Using MATLAB created by MathWorks, you can easily perform matrix calculations, visualize mathematical functions and experimental data, implement computational algorithms, design a graphical user interface for solving specific problems, and interact with other programming languages ??and programs via special interfaces.

MATLAB is a high-level language of technical calculations, an interactive environment for developing algorithms and a modern data analysis tool. MATLAB compared with traditional programming languages ??(C / C ++, Java, Pascal, FORTRAN) allows to shorten the time for solving typical tasks by an order of magnitude and greatly simplifies the development of new algorithms. MATLAB is the foundation of the entire MathWorks family of products and is the main tool for solving a wide range of scientific and applied tasks in such areas as: object modeling and control system design, communication system design, signal and image processing, signal measurement and testing, financial modeling, computational biology, etc.

MATLAB is widely used in such areas as:
� signal processing and communication,
� image and video processing,
� control systems,
� automation of testing and measurement,
� financial engineering,
� Computational biology, etc.

Numerical calculations:
� MATLAB provides many methods for analyzing data, developing algorithms and creating models. The MATLAB language includes mathematical functions for engineering and scientific operations. Built-in mathematical functions use processor-optimized libraries designed to accelerate vector and matrix calculations.
� The following operations are available:
� Interpolation and regression
� Differentiation and integration
� Systems of linear equations
Fourier analysis
� Eigenvalues ??and singular numbers of matrices
� Ordinary differential equations
� Sparse matrices
� MATLAB extensions provide specialized functionality in areas such as statistics, optimization, signal processing, machine learning.

Data analysis and visualization:
� MATLAB provides tools for obtaining, analyzing and visualizing data, allowing you to investigate the problem faster than is possible using spreadsheets or traditional programming languages.
� You can also document the results in the form of graphs, reports or publication of the MATLAB code.
� Access to data
� MATLAB allows you to access data from files, other applications, databases, external devices. You can read data from files of such popular formats as Microsoft Excel, text or binary files, images, audio and video files, scientific formats (netCDF and HDF). I / O functions allow working with data files of any formats.
� Using MATLAB extensions, you can receive data from various devices, such as a computer serial port or sound card, and real-time streaming data from measuring devices directly to MATLAB for analysis and visualization. In addition, you can control devices such as oscilloscopes, signal analyzers and oscillators of special shape.
� Data analysis
� MATLAB allows you to manage, filter and pre-process data. You can explore data for finding trends, testing hypotheses, constructing descriptive models. MATLAB includes functions for filtering, smoothing, convolution and fast Fourier transform (FFT). Products-extensions include the ability to select curves and surfaces, multidimensional statistics, spectral analysis, image analysis, system identification and other analysis tools.
� Data visualization
� MATLAB provides a set of built-in functions for building 2D and 3D graphs, as well as 3D visualization functions. You can use these functions for visualization and as a means of presenting the information being processed. Graphs can be created both interactively and programmatically.
� In the MATLAB charting gallery there are examples of a variety of ways to present data graphically. For each example, you can view and download the source code for use in your MATLAB applications.

Programming and development of algorithms. Language MATLAB:
� MATLAB language initially has support for vector and matrix operations, which is necessary for solving engineering and scientific tasks, and is designed for rapid development and launch.
� Using MATLAB, you can write programs and algorithms faster than in traditional programming languages, because there is no need for such low-level organizational operations as declaring variables, defining types, and allocating memory. In many cases, switching to vector and matrix operations eliminates the need to use for loops. As a result, a single MATLAB code line can often replace several C / C ++ code lines.
� MATLAB has the properties of traditional programming languages, including data flow control, error handling, and object-oriented programming (OOP). You can use basic data types, complex data structures, or define custom types.
� You can receive results immediately by executing commands interactively one at a time. This approach allows you to quickly explore the various options for a better solution. By combining these interactive commands into a script or function, you can automate their execution.
� MATLAB extensions have built-in algorithms for signal processing and communication, image and video processing, control systems and many other areas. By combining these algorithms with yours, you can implement complex programs and applications.

Key features:
� Platform-independent high-level programming language oriented to matrix calculations and development of algorithms
� An interactive environment for code development, file and data management
� Functions of linear algebra, statistics, Fourier analysis, solution of differential equations, etc.
� Rich visualization tools, 2-D and 3-D graphics.
� Built-in user interface development tools for creating finished applications on MATLAB
� Means of integration with C / C ++, code inheritance, ActiveX technology

System requirements:
� OS: Windows 10, Windows 8.1, Windows 7 Service Pack 1, Windows Server 2016, Windows Server 2012 R2, Windows Server 2012, Windows Server 2008 R2 Service Pack 1
� Windows 8 is not supported as of R2017b.
� Support for Windows Server 2008 R2 will be discontinued as of R2018a.
� Processors: Any Intel or AMD x86-64 processor. AVX2 instruction set support is recommended. With Polyspace, 4 cores is recommended
� Disk Space: 2 GB for MATLAB only, 4-6 GB for a typical installation
� RAM: 2 GB
� Graphics: No specific graphics card is required. Hardware accelerated graphics card supporting OpenGL 3.3 with 1GB GPU memory recommended.


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