MATLAB R2019a Linux 版本正式发布！

MATLAB 是美国MathWorks公司出品的商业数学软件，用于算法开发、数据可视化、数据分析以及数值计算的高级技术计算语言和交互式环境，主要包括MATLAB和Simulink两大部分。

MATLAB是matrix&laboratory两个词的组合，意为矩阵工厂（矩阵实验室）。是由美国mathworks公司发布的主要面对科学计算、可视化以及交互式程序设计的高科技计算环境。它将数值分析、矩阵计算、科学数据可视化以及非线性动态系统的建模和仿真等诸多强大功能集成在一个易于使用的视窗环境中，为科学研究、工程设计以及必须进行有效数值计算的众多科学领域提供了一种全面的解决方案，并在很大程度上摆脱了传统非交互式程序设计语言（如C、Fortran）的编辑模式，代表了当今国际科学计算软件的先进水平。

MATLAB和Mathematica、Maple并称为三大数学软件。它在数学类科技应用软件中在数值计算方面首屈一指。MATLAB可以进行矩阵运算、绘制函数和数据、实现算法、创建用户界面、连接其他编程语言的程序等，主要应用于工程计算、控制设计、信号处理与通讯、图像处理、信号检测、金融建模设计与分析等领域。

MATLAB的基本数据单位是矩阵，它的指令表达式与数学、工程中常用的形式十分相似，故用MATLAB来解算问题要比用C，FORTRAN等语言完成相同的事情简捷得多，并且MATLAB也吸收了像Maple等软件的优点，使MATLAB成为一个强大的数学软件。在新的版本中也加入了对C，FORTRAN，C++，JAVA的支持。

x64 | File Size: 15.3 GB

Description:

Company MathWorks most complete software for computational computer produces; the main program the company that actually Passport is software MATLAB (short for Mat rix Lab Oratory and means lab Matrix) is one of the most advanced software, algorithms and math and a programming language developed generation fourth is possible to visualize and plot functions and data is provided. Icon and bookmark MATLAB with the manufacturer's logo is the same as the wave equation, L-shaped membrane and special functions have been extracted. MATLAB competitors such as Mathematica, Maple and Mathcad noted.

Facilities and software features MathWorks MATLAB:

-perform a variety of complex mathematical calculations and heavy

-Development environment for managing code, files, and data

-explore ways to achieve this solution

-A variety of mathematical functions for linear algebra, statistics, Fourier analysis, optimization, filtering, numerical integration and ...

-drawing two-dimensional and three-dimensional graphics functions for visualizing data as

-Design and construction of user interfaces under the programming languages ​​C ++, C or Java

-Ability to test and measure the exact functions and graphs

-the possibility of communication signal processing, image and video

-There are various Jbhabzarhay engineering companies for specific applications such as

telecommunications, control, fuzzy, estimates, statistics, data collection, simulation systems,

neural networks, probability and ...

-Ability Computational Biology

Feature Tools Box:

Feature Tools Box 2019a:

MATLAB 9.6 glnxa64

Simulink 9.3 glnxa64

5G Toolbox 1.1 glnxa64

AUTOSAR Blockset 2.0 glnxa64

Aerospace Blockset 4.1 glnxa64

Aerospace Toolbox 3.1 glnxa64

Antenna Toolbox 4.0 glnxa64

Audio Toolbox 2.0 glnxa64

Automated Driving Toolbox 2.0 glnxa64

Bioinformatics Toolbox 4.12 glnxa64

Communications Toolbox 7.1 glnxa64

Computer Vision Toolbox 9.0 glnxa64

Control System Toolbox 10.6 glnxa64

Curve Fitting Toolbox 3.5.9 glnxa64

DO Qualification Kit 3.7 glnxa64

DSP System Toolbox 9.8 glnxa64

Database Toolbox 9.1 glnxa64

Datafeed Toolbox 5.8.1 glnxa64

Deep Learning Toolbox 12.1 glnxa64

Econometrics Toolbox 5.2 glnxa64

Embedded Coder 7.2 glnxa64

Filter Design HDL Coder 3.1.5 glnxa64

Financial Instruments Toolbox 2.9 glnxa64

Financial Toolbox 5.13 glnxa64

Fixed-Point Designer 6.3 glnxa64

Fuzzy Logic Toolbox 2.5 glnxa64

GPU Coder 1.3 glnxa64

Global Optimization Toolbox 4.1 glnxa64

HDL Coder 3.14 glnxa64

HDL Verifier 5.6 glnxa64

IEC Certification Kit 3.13 glnxa64

Image Acquisition Toolbox 6.0 glnxa64

Image Processing Toolbox 10.4 glnxa64

Instrument Control Toolbox 4.0 glnxa64

LTE HDL Toolbox 1.3 glnxa64

LTE Toolbox 3.1 glnxa64

MATLAB Coder 4.2 glnxa64

MATLAB Compiler 7.0.1 glnxa64

MATLAB Compiler SDK 6.6.1 glnxa64

MATLAB Parallel Server 7.0 glnxa64

MATLAB Production Server 4.1 glnxa64

MATLAB Report Generator 5.6 glnxa64

Mapping Toolbox 4.8 glnxa64

Mixed-Signal Blockset 1.0 glnxa64

Model Predictive Control Toolbox 6.3 glnxa64

Optimization Toolbox 8.3 glnxa64

Parallel Computing Toolbox 7.0 glnxa64

Partial Differential Equation Toolbox 3.2 glnxa64

Phased Array System Toolbox 4.1 glnxa64

Polyspace Bug Finder 3.0 glnxa64

Polyspace Bug Finder Server 3.0 glnxa64

Polyspace Code Prover 10.0 glnxa64

Polyspace Code Prover Server 10.0 glnxa64

Powertrain Blockset 1.5 glnxa64

Predictive Maintenance Toolbox 2.0 glnxa64

RF Blockset 7.2 glnxa64

RF Toolbox 3.6 glnxa64

Reinforcement Learning Toolbox 1.0 glnxa64

Risk Management Toolbox 1.5 glnxa64

Robotics System Toolbox 2.2 glnxa64

Robust Control Toolbox 6.6 glnxa64

Sensor Fusion and Tracking Toolbox 1.1 glnxa64

SerDes Toolbox 1.0 glnxa64

Signal Processing Toolbox 8.2 glnxa64

SimBiology 5.8.2 glnxa64

SimEvents 5.6 glnxa64

Simscape 4.6 glnxa64

Simscape Driveline 2.16 glnxa64

Simscape Electrical 7.1 glnxa64

Simscape Fluids 2.6 glnxa64

Simscape Multibody 6.1 glnxa64

Simulink 3D Animation 8.2 glnxa64

Simulink Check 4.3 glnxa64

Simulink Code Inspector 3.4 glnxa64

Simulink Coder 9.1 glnxa64

Simulink Control Design 5.3 glnxa64

Simulink Coverage 4.3 glnxa64

Simulink Design Optimization 3.6 glnxa64

Simulink Design Verifier 4.1 glnxa64

Simulink Report Generator 5.6 glnxa64

Simulink Requirements 1.3 glnxa64

Simulink Test 3.0 glnxa64

SoC Blockset 1.0 glnxa64

Stateflow 10.0 glnxa64

Statistics and Machine Learning Toolbox 11.5 glnxa64

Symbolic Math Toolbox 8.3 glnxa64

System Composer 1.0 glnxa64

System Identification Toolbox 9.10 glnxa64

Text Analytics Toolbox 1.3 glnxa64

Trading Toolbox 3.5.1 glnxa64

Vehicle Dynamics Blockset 1.2 glnxa64

Vehicle Network Toolbox 4.2 glnxa64

Vision HDL Toolbox 1.8 glnxa64

WLAN Toolbox 2.1 glnxa64

Wavelet Toolbox 5.2 glnxa64

System Requirements:

OS:

-Ubuntu 18.10 LTS

-Ubuntu 16.04 LTS

-Ubuntu 14.04 LTS

-Debian 9

-Red Hat Enterprise Linux 7 (minimum 7.3)

-Red Hat Enterprise Linux 6 (minimum 6.7)

-SUSE Linux Enterprise Desktop 12 (minimum SP2)

-SUSE Linux Enterprise Desktop 15

-SUSE Linux Enterprise Server 12 (minimum SP2)

-SUSE Linux Enterprise Server 15

Note:

-Debian 8 is not supported as of R2019a.

-Support for Ubuntu 14.04 LTS will be discontinued in an upcoming release.

CPU:

-Minimum:Any Intel or AMD x64 processor

-RecommendedAny Intel or AMD x64 processor with four logical cores and AVX2 instruction set

support

Disk:

-Minimum:2 GB of HDD space for MATLAB only, 4-6 GB for a typical installation

-Recommended:An SSD is recommended A full installation of all MathWorks products may take up to 22

GB of disk space

RAM:

-Minimum:4 GB

-Recommended:8 GB

GPU:

-No specific graphics card is required.

-Hardware accelerated graphics card supporting OpenGL 3.3 with 1GB GPU memory is recommended.

-GPU acceleration using the Parallel Computing Toolbox requires a CUDA GPU

-For Polyspace, 4 GB per core is recommended

Note:

-Windows Server 2019 is supported as of R2019a.

-Windows Server 2012 and Windows Server 2012 R2 are not supported as of R2019a.

For Polyspace, 4 GB per core is recommended(note this feature are not available with current license)

Note:

the license works perfect on 2019a but the feature polyspace is not available with current license so when installation start just untick the polyspace or install it in case some new license fixed it...for run matlab 2019a just go in the folder and matlab from there should open and working just fine enjoy by:WhiteDeath

Few Important Notes:

1)This is full Tested by me i have download and tested the Matlab 2019 with Update 3 on my virtual machine-pc...

2)tested with the license.lic (tested on Zorin OS Ultimate 15)

Enjoy

Whats New:

MATLAB R2019a v9.6.0.1135713 Update 3:

-1966191: Tab groups are incorrectly laid out in a grid layout

-1894957: cd command fails for NTFS paths/network drive letter paths having junctions

-1949459: Error when opening App Designer app saved over a later release app