MathWorks MATLAB R2019a Update 5 MacOsx | 22.1 Gb
The MathWorks team is pleased to announce the availability of MATLAB R2019a Update 5 (version 9.6.0.1174912). This release is primarily a quality improvement release, but there are some changes in functionality. R2019a Update 5 - August 16, 2019 - On Linux and Mac platforms, MATLAB classifies class definition files as script files when accessed by soft link- MATLAB does not start properly on some Mac systems- MATLAB might crash when copying figures with complicated content- makima' interpolation produces incorrect results with permuted grid coordinates and values.- svd might fail to converge when operating on complex-valued matrices- Dependency reports take a long time to complete- Installer fails when using Add-On Explorer to install products if you set proxies in MATLAB- svd can return invalid NaN values in the singular vectors of some rare matrices.- Current object is an empty array after right-clicking on data tips- Toolbox project files sometimes fail to open- Axes toolbar is slow to appear or does not appear on direct hover Update 5 also:- Fully supports using Microsoft Visual Studio 2019 as a compiler.- Better handles automatic mapping of ArTypedPerInstanceMemory and StaticMemory in the AUTOSAR Blockset function autosar.api.syncModel. - Suggests corrective action when AUTOSAR Blockset signal source ports areoptimized away.- Includes analysis stability improvements for instances of rational approximation for Simulink Design Verifier.- Includesper formance and stability improvements for Simulink, MATLAB Coder, and Simulink Requirements. Note: Each R2019a Update contains bug fixes to R2019a, including all the fixes from previous updates. MathWorks has introduced Release 2019a of MATLAB and Simulink. The release contains additional products and important enhancements for artificial intelligence (AI), signal processing and static analysis, along with updated capabilities and bug fixes across all product families. One of the key challenges in moving AI from hype to production is that organisations are hiring AI ‘experts’ and trying to teach them engineering domain expertise. With R2019a, MathWorks enables engineers to quickly and effectively extend their AI skills, whether it’s to develop controllers and decision-making systems using reinforcement learning, training deep learning models on NVIDIA DGX and cloud platforms, or applying deep learning to 3D data. R2019a introduces Reinforcement Learning Toolbox, further enhancing the MATLAB workflow for AI. The toolbox facilitates a type of machine learning that trains an ‘agent’ through repeated trial-and-error interactions with an environment to solve controls and decision-making problems. The toolbox reiterates the company’s commitment to AI, building on last spring’s R2018b introduction of Deep Learning Toolbox, which was enhanced with support for NVIDIA GPU Cloud, Amazon Web Services, and Microsoft Azure, and interoperability through support of the ONNX exchange format. Further support for AI in R2019a includes significant enhancements to Computer Vision Toolbox, Data Acquisition Toolbox and Image Acquisition Toolbox. R2019a also features several updated signal processing and communications products to support wireless and electronics development, as well as advances in the company’s Polyspace static analysis family, including products that support enterprise-scale use for the design and development of safety- and business-critical software 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 3500 people in 15 countries, with headquarters in Natick, Massachusetts, USA. Product: MathWorks MATLAB Version: R2019a Update 5 (build 9.6.0.1174912)Supported Architectures: x64Website Home Page : www.mathworks.comLanguage: englishSystem Requirements: MacOsx *Supported Operating Systems: *Size: 22.1 Gb 本部分内容设定了隐藏，需要回复后才能看到
激活教程0. Run matlab setup from "MatlabR2019a_mac64.dmg" file
1. Use option "Use a File Installation Key", and in "Provide File Installation Key" select "I have the File Installation Key for my license" and use
09806-07443-53955-64350-21751-41297
2. Select folder where you want matlab to be. By default this folder <matlabfolder> is /Applications/Polyspace/R2019a, but more natural sounds <matlabfolder>
/Applications/Matlab/R2019a ... but it is up to you
3. On "Select products to install" uncheck "Matlab Parallel Server" and leave checks only on those things you need.
The whole Matlab is more than 20 Gb. "Matlab 9.6" only is 2.5Gb
4. After installation is over REPLACE with downloaded file "libmwlmgrimpl.dylib" ALREADY EXISTING file
"<matlabfolder>/bin/maci64/matlab_startup_plugins/lmgrimpl/libmwlmgrimpl.dylib", where <matlabfolder> - is where you have installed Matlab
5. Copy "license.lic" file to <matlabfolder>/licenses folder.
6. Execute file "<matlabfolder>/bin/matlab". It would be helpful to create link on desktop or in launch bar
7. Work with Matlab :)
P.S.
license.lic additionally to possibilities of license_standalone.lic gives Matlab permission to work from remote desktop (RDP)
This allow not to use license_server.lic in certain cases
P.S.2
File Installation Key you give to installer actually depend on Matlab edition and type of license you want
For standalone license use license.lic or license_standalone.lic and keys:
For workstation use case (typical configuration) : 09806-07443-53955-64350-21751-41297
For cluster node "Matlab Parallel Server" : 40236-45817-26714-51426-39281
For floating license use license_server.lic and keys:
For workstation use case (typical configuration) : 31095-30030-55416-47440-21946-54205
For cluster node "Matlab Parallel Server" : 57726-51709-20682-42954-31195
[ 此帖被pony8000在2019-08-24 16:03重新编辑 ]
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