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MathWorks MATLAB R2017a Linux

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MathWorks MATLAB R2017a Linux

R2017a 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。


MATLAB R2017a Linux | 9.8 Gb

MathWorks introduced Release 2017a (R2017a) with a range of new capabilities in MATLAB and Simulink. R2017a includes a new product, Automated Driving System Toolbox, which helps design, simulate, and test ADAS and autonomous driving systems. R2017a also includes updates and bug fixes to 86 other products.

MATLAB Product Family Updates Include:

MATLAB

- Interactive figure updates in the Live Editor, including title, labels, legend, and other annotations, as well as the ability to copy live script outputs to other applications
- heatmap chart functions for visualizing data
- More functions for operating on tall arrays, including ismember, sort, conv, and moving statistics functions
Econometrics Toolbox
- Bayesian linear regression model for analyzing the relationship between a response and a set of predictor variables
- Vector autoregressive model for analyzing multivariate time series data, including exogenous predictors
MATLAB Production Server
- Web-based server management dashboard for IT configuration and control
Neural Network Toolbox
- Deep learning algorithms for training convolutional neural networks (CNNs) for regression tasks using multiple GPUs on PCs, on clusters, and in the cloud
- Deep learning visualization for the features a CNN model has learned using image optimization
- Functions for transferring weights from pretrained CNN models (AlexNet, VGG-16 and VGG-19) and models from Caffe Model Zoo
Statistics and Machine Learning Toolbox
- Regression Learner app for training regression models using supervised machine learning
- tall array algorithms for support vector machine (SVM) and Naive Bayes classification, bagged decision trees, and lasso regression
Computer Vision System Toolbox
- Deep learning for detecting objects using Fast R-CNN and Faster R-CNN
Automated Driving System Toolbox
- A new product for designing, simulating, and testing ADAS and autonomous driving systems

Simulink Product Family Updates Include:

Simulink

- Simulink Project upgrade for easily updating all files in a project to the latest release
- parsim command for directly running multiple parallel simulations
- Streaming for large input signals from MAT files without loading the data into memory
- Reduced bus wiring to quickly group signals as buses and automatically create bus element ports for fewer signal lines between and within subsystems
- Automatic port creation for adding inports and outports to blocks when routing signals
Simscape Multibody
- Run-time parameters for speeding up simulation tasks and modifying component parameter values without regenerating C code
- Onshape CAD import for using cloud-based CAD assemblies in multibody simulation

Signal Processing and Communications Updates Include:

Antenna Toolbox
- Antenna Designer app for interactively choosing and analyzing antennas with desired characteristics
Communications System Toolbox
- Modeling and simulation for spatially-defined MIMO channels operating in multipath and scattering propagation scenarios
LTE System Toolbox
- MATLAB functions for simulating 3GPP 5G new radio technologies
- Sidelink Receive functionality for link-level simulation of LTE-A ProSe direct communications for public safety and vehicular communication applications
WLAN System Toolbox
- Support for generating IEEE 802.11ad compliant waveforms

Code Generation Updates Include:

Embedded Coder
- Cross-release code integration for reusing model reference code generated from previous releases
Simulink Coder
- Dynamic memory support for MATLAB Function block simulation and code generation
HDL Coder
- HDL code generation from IEEE standard single-precision floating-point operations
HDL Verifier
- Support for probing and capturing internal FPGA signals to analyze in MATLAB or Simulink

Verification and Validation Updates Include:

Polyspace Bug Finder
- Code checking for MISRA C:2012 Amendment 1 and new cryptography routines
Simulink Verification and Validation
- Clone detection improvements for refactoring repeating library patterns and subsystem clones
- DOORS Next Generation support for linking and tracing model elements to requirements in DOORS Next Generation
Simulink Design Verifier
- Visualization of the effect of state activity timing on slicer highlighting for simulations
Simulink Code Inspector
- Support for loop and cyclic operations in MATLAB, Simulink, and Stateflow

About MathWorks

MathWorks is the leading developer of mathematical computing software. MATLAB, the language of technical computing, is a programming environment for algorithm development, data analysis, visualization, and numeric computation. Simulink is a graphical environment for simulation and Model-Based Design for multidomain dynamic and embedded systems. Engineers and scientists worldwide rely on these product families to accelerate the pace of discovery, innovation, and development in automotive, aerospace, electronics, financial services, biotech-pharmaceutical, and other industries. MATLAB and Simulink are also fundamental teaching and research tools in the world’s universities and learning institutions. Founded in 1984, MathWorks employs more than 3000 people in 15 countries, with headquarters in Natick, Massachusetts, USA.

Product: MathWorks MATLAB
Version: R2017a 2DVD
Supported Architectures: x86_x64
Website Home Page : http://www.mathworks.com
Language: english
System Requirements: Linux
Supported Operating Systems: Qualified distributions* / Ubuntu 14.04 LTS through 15.10 / Red Hat Enterprise Linux 6 and 7** / SUSE Linux Enterprise Desktop 11 and 12*** / Debian 7.x, 8.x
Size: 9.8 Gb

* The listed distributions are those Linux distributions that MathWorks products have been validated against. It is likely that other distributions with kernel version 2.6 or later and glibc version 2.12 or later can successfully run MathWorks products, but MathWorks will be in a limited position to provide technical support for those distributions.
** MathWorks follows Red Hat’s support policy for minor versions of RHEL. As of MATLAB R2017a, Red Hat does not support RHEL versions 6.6 and older. Refer to the Red Hat web site for additional information.
*** MathWorks follows SUSE’s support policy for minor versions of Enterprise Desktop. As of MATLAB R2017a, SUSE supports SLED 12 SP1 and later. Refer to the SUSE web site for additional information.


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网友最新评论 (3)

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    livepine6个月前 (06-05)
    • 总是解压错请找自己的原因
      admin6个月前 (06-06)
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        livepine6个月前 (06-06)