[编程开发]MathWorks MATLAB R2020b 9.9.0.1592791 Update 5 Only 破解版  含授权激活文件教程 [复制链接]

Millions of engineers and scientists worldwide use MATLAB to analyze and design the systems and products transforming our world. MATLAB is in automobile active safety systems, interplanetary spacecraft, health monitoring devices, smart power grids, and LTE cellular networks. It is used for machine learning, signal processing, image processing, computer vision, communications, computational finance, control design, robotics, and much more.
数学·图形·编程
无论是分析数据、开发算法还是创建模型，
MATLAB 都是针对您的思维方式和工作内容而设计的。

Math. Graphics. Programming.
The MATLAB platform is optimized for solving engineering and scientific problems. The matrix-based MATLAB language is the world’s most natural way to express computational mathematics. Built-in graphics make it easy to visualize and gain insights from data. A vast library of prebuilt toolboxes lets you get started right away with algorithms essential to your domain. The desktop environment invites experimentation, exploration, and discovery. These MATLAB tools and capabilities are all rigorously tested and designed to work together.

Scale. Integrate. Deploy.
MATLAB helps you take your ideas beyond the desktop. You can run your analyses on larger data sets and scale up to clusters and clouds. MATLAB code can be integrated with other languages, enabling you to deploy algorithms and applications within web, enterprise, and production systems.

Key Features

• High-level language for scientific and engineering computing
• Desktop environment tuned for iterative exploration, design, and problem-solving
• Graphics for visualizing data and tools for creating custom plots
• Apps for curve fitting, data classification, signal analysis, and many other domain-specific tasks
• Add-on toolboxes for a wide range of engineering and scientific applications
• Tools for building applications with custom user interfaces
• Interfaces to C/C++, Java®, .NET, Python®, SQL, Hadoop®, and Microsoft® Excel®
• Royalty-free deployment options for sharing MATLAB programs with end users

Why MATLAB?
MATLAB is the easiest and most productive software for engineers and scientists. Whether you’re analyzing data, developing algorithms, or creating models, MATLAB provides an environment that invites exploration and discovery. It combines a high-level language with a desktop environment tuned for iterative engineering and scientific workflows.

MATLAB Speaks Math
The matrix-based MATLAB language is the world’s most natural way to express computational mathematics. MATLAB supports both numeric and symbolic calculations. Linear algebra in MATLAB looks like linear algebra in a textbook; symbolic calculations look like the equations you write on paper. This makes it straightforward to capture the mathematics behind your ideas, which means your code is easier to write, easier to read and understand, and easier to maintain.

You can trust the results of your computations. MATLAB, which has strong roots in the numerical analysis research community, is known for its impeccable numerics. A MathWorks team of 350 engineers continuously verifies quality by running millions of tests on the MATLAB code base every day.

MATLAB does the hard work to ensure your code runs quickly. Math operations are distributed across multiple cores on your computer, library calls are heavily optimized, and all code is just-in-time compiled. You can run your algorithms in parallel by changing for-loops into parallel for-loops or by changing standard arrays into GPU or distributed arrays. Run parallel algorithms in infinitely scalable public or private clouds with no code changes.

The MATLAB language also provides features of traditional programming languages, including flow control, error handling, object-oriented programming, unit testing, and source control integration.

MATLAB Is Designed for Engineers and Scientists
MATLAB provides a desktop environment tuned for iterative engineering and scientific workflows. Integrated tools support simultaneous exploration of data and programs, letting you evaluate more ideas in less time.

• You can interactively preview, select, and preprocess the data you want to import.
• An extensive set of built-in math functions supports your engineering and scientific analysis.
• 2D and 3D plotting functions enable you to visualize and understand your data and communicate results.
• MATLAB apps allow you to perform common engineering tasks without having to program. Visualize how different algorithms work with your data, and iterate until you’ve got the results you want.
• The integrated editing and debugging tools let you quickly explore multiple options, refine your analysis, and iterate to an optimal solution.
• You can capture your work as sharable, interactive narratives.

Comprehensive, professional documentation written by engineers and scientists is always at your fingertips to keep you productive. Reliable, real-time technical support staff answers your questions quickly. And you can tap into the knowledge and experience of over 100,000 community members and MathWorks engineers on MATLAB Central, an open exchange for MATLAB and Simulink® users.

MATLAB and add-on toolboxes are integrated with each other and designed to work together. They offer professionally developed, rigorously tested, field-hardened, and fully documented functionality specifically for scientific and engineering applications

MATLAB Integrates Workflows
Major engineering and scientific challenges require broad coordination to take ideas to implementation. Every handoff along the way adds errors and delays.

MATLAB automates the entire path from research through production. You can:

• Build and package custom MATLAB apps and toolboxes to share with other MATLAB users.
• Create standalone executables to share with others who do not have MATLAB.
• Integrate with C/C++, Java, .NET, and Python. Call those languages directly from MATLAB, or package MATLAB algorithms and applications for deployment within web, enterprise, and production systems.
• Convert MATLAB algorithms to C, HDL, and PLC code to run on embedded devices.
• Deploy MATLAB code to run on production Hadoop systems.

MATLAB is also a key part of Model-Based Design, which is used for multidomain simulation, physical and discrete-event simulation, and verification and code generation.

Release Highlights

New Products

• Deep Learning HDL Toolbox - Prototype and deploy deep learning networks on FPGAs and SoCs
• Lidar Toolbox - Design, analyze, and test lidar processing systems
• RoadRunner Scene Builder - Automatically generate 3D road models from HD maps
• UAV Toolbox - Design, simulate, and deploy UAV applications

Major Updates

• MATLAB Graphics - Use new bubble and swarm charts, and customize charts with new options for titles, labels, and axis limits.
• MATLAB App Building - Diff and merge App Designer apps, and add custom figure icons and custom components to your MATLAB apps.
• GPU Coder - Simulate and deploy Simulink models to NVIDIA® GPUs
• Mapping Toolbox - Build 3D map displays with basemaps and convert geographic data between coordinate reference systems
• Model Predictive Control Toolbox - Simulate and generate code for MPC controllers with FORCES PRO solvers developed by Embotech
• Optimization Toolbox - Solve optimization problems using a Live Editor task. Apply automatic differentiation to nonlinear expressions
• RF Blockset - Model transceiver antennas, including frequency-dependent impedance and far-field radiation pattern
• RF Toolbox - Design RF transceivers using nonlinear harmonic balance analysis in the RF Budget Analyzer app
• Sensor Fusion and Tracking Toolbox - Design, simulate, and test multisensor tracking and positioning systems in autonomous and surveillance applications
• SerDes Toolbox - Model jitter and cross-talk in time-domain simulation and statistical analysis of SerDes systems
• SimBiology - Build models interactively in a single consolidated view using SimBiology Model Builder
• Simscape - Model and simulate multidomain physical systems
• Simulink Check - Assess completeness of requirements-based testing activities for ISO 26262 or DO-178C with testing dashboard
• Simulink Online - Use Simulink through your web browser
• Simulink Real-Time - Discover new 64-bit RTOS, explorer, graphical instrumentation, and signal logging
• Statistics and Machine Learning Toolbox - Use AutoML for classification and regression, LIME interpretability, and native Simulink blocks for SVM prediction

版本亮点新产品
Deep Learning HDL Toolbox –  面向 FPGA 和 SoC 进行深度学习网络原型开发和部署Lidar Toolbox – 设计、分析和测试激光雷达处理系统
RoadRunner Scene Builder –  自动从高清地图生成三维道路模型

UAV Toolbox –  设计、仿真和部署 UAV 应用重要更新
MATLAB 图形 – 使用新的气泡图和分簇散点图，并使用新的标题、标签和轴范围选项对图进行自定义MATLAB App 构建 – 对使用 App 设计工具创建的 App 进行比较与合并，并将自定义图窗图标和自定义组件添加到您的 MATLAB App
GPU Coder – 面向 NVIDIA® GPU 仿真和部署 Simulink 模型Mapping Toolbox – 使用底图构建三维地图显示，并在坐标参考系之间转换地理数据
Model Predictive Control Toolbox – 使用 Embotech 开发的 FORCES PRO 求解器仿真 MPC 控制器并生成代码Optimization Toolbox – 使用实时编辑器任务求解优化问题；对非线性表达式应用自动微分
RF Blockset – 对收发机天线建模，包括频变阻抗和远场辐射方向图RF Toolbox – 使用 RF Budget Analyzer 中的非线性谐波平衡分析来设计射频收发机
Sensor Fusion and Tracking Toolbox – 在自主和监控应用中设计、仿真和测试多传感器跟踪和定位系统SerDes Toolbox –  在 SerDes 系统的时域仿真和统计分析中对抖动和串扰建模
SimBiology – 使用 SimBiology Model Builder 在单个整合视图中交互式构建模型Simscape – 建模和仿真多域物理系统
Simulink Check – 使用测试控制板，评估基于需求的测试活动的完整性是否符合 ISO 26262 或 DO-178C 标准Simulink Online - 在 Web 浏览器中使用 Simulink
Simulink Real-Time – 探索全新的 64 位 RTOS、资源管理器、图形化仪表，以及信号记录Statistics and Machine Learning Toolbox – 使用 AutoML 进行分类和回归，实现 LIME 可解释性，并使用原生 Simulink 模块进行 SVM 预测
R2020b
新增功能, 错误修复, 兼容性注意事项
expand all
R2020b: 错误修复
Environment
MATLAB Online Accessibility: Use a screen reader to interact with the Command Window and create scripts and functions
Live Editor Images: Add alternative text to images
Live Editor Images: Change the size of images
Live Editor Hyperlinks: Navigate to existing files from a live script or live function using links
Live Editor Export: Export all live scripts and live functions in a folder to a standard format
matlabRelease Object: Query MATLAB Release Information
Query Parallel Functionality: Determine if support for Parallel Computing Toolbox functionality is available
Comparison Tool: Compare text files in MATLAB Online
Language and Programming
pattern Object and Functions: Match patterns in text functions
extract Function: Extract substrings from strings
Functions: New validation functions for arguments and properties
underlyingType, isUnderlyingType, and mustBeUnderlyingType Functions: Query the underlying data type of classes
height and width Functions: Return number of rows or columns in an array
Class conversions: Assignment operations convert more classes into built-in data types
Functionality being removed or changed
Data Analysis
Implicit Expansion: For calendarDuration, categorical, datetime, and duration arrays, automatically expand dimensions of length 1 when applying element-wise operations and functions
normalize Function: Scale data by interquartile range
groupsummary Function: Summarize data using functions that require multiple input arguments
fillmissing Function and Clean Missing Data Live Editor Task: Specify maximum gap size to fill
Clean Outlier Data Live Editor Task: Define outliers based on percentile thresholds
Functionality being removed or changed
Data Import and Export
readstruct and writestruct functions: Read and write structured data in XML files
readlines function: Read the lines in a text file as a string array
Spreadsheet files: Customize formatting when writing data to spreadsheet files with PreserveFormat and Auto







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关于激活


0. Mount iso-file Matlab99R2020b_Win64.iso to virtual disk.
     For Windows 8 and lower you probably need soft like Daemon Tools Lite (or similar)
1. Run setup.exe from that virtual disk and if you see login/password/signin form (you gave access to internet for installer)
     then in apper left corner in "Advanced Options" select setup mode "I have a File Installation Key"
     If internet access is absent then required setup mode will be autoselected and you do not need to set setup mode
2. When you will be asked to "Enter File Installation Key" enter
     09806-07443-53955-64350-21751-41297
3. When you will be asked to "Select License File" select license.lic
4. Then select folder where you want Matlab to be installed. When you will be asked to "Select products" deselect component
     "Matlab Parallel Server" and select components you need.
     If you will leave all components selected matlab will need 32Gb of disk space and longer startup time.
     If you left only "MATLAB" - 3Gb of disk space
     You better setup matlab on SSD disk for better startup time, so most likely you do not want to waste SSD-disk size for nothing.
5. Then in "Select Options" select "Add shortcut to desktop"
6. Components setup progress may be shown incorrectly (for example allways show 0%) ... just wait.
     Or if installation process takes too long start to monitor growth size of folder where you are installing matlab
     If it size is not growing several minutes then restart setup
7. After installation is done copy file "libmwlmgrimpl.dll" to already existing folder
     "<matlabfolder>\bin\win64\matlab_startup_plugins\lmgrimpl"
     with overwriting of existing file (<matlabfolder> - is where you have installed Matlab)
8. Copy "license.lic" file to <matlabfolder>\licenses folder
     Alternatively you can just start Matlab. In that case you will got window asking you to select license
       First select "Activate manually without the Internet" and
       then in field "Enter the full path to your license file, including the file name" select "license.lic" file
9. Work with matlab :)
     If setup hang in step 1-6 then force to close setup and start again from step 1

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 Production 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 Production Server"       : 57726-51709-20682-42954-31195








mac/liunx版：http://bbs.sdbeta.com/read-htm-tid-575220-page-e.html

感谢分享，试试看看的

最新版发布了，顶起来。

更新及时，好好好！！

谢谢楼主分享

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楼主辛苦了，谢谢楼主分享！

终于来啦！！！

这个必须支持~！~！~

感谢分享！！！！！