Matlab for Linux 2020

Matlab Linux Package Contains:

MATLAB Product Family

MATLAB

• Live Editor Controls: Link variables to drop-down items and slider values to create dynamic controls in live scripts
• Create Plot Live Editor Task: Create plots interactively and generate code
• Name=Value Syntax: Use name=value syntax for passing name-value arguments to functions
• Class Diagram Viewer: Create graphical class diagrams to explore class hierarchy and class details

MATLAB Web App Server

• Policy-Based Access: Specify a policy to control access to individual folders of web apps

Partial Differential Equation Toolbox

• Electromagnetic Analysis: Solve 2-D electrostatic and magnetostatic problems

Symbolic Math Toolbox

• Symbolic Matrix Variables: Perform linear algebra calculations on symbolic matrix variables represented in a compact form

AI, Data Science, and Statistics

Deep Learning Toolbox

• Experiment Manager: Minimize coding using preconfigured templates and train with custom training loops
• TensorFlow Importer: Import sequential and functional API models into MATLAB

Reinforcement Learning Toolbox

• Reinforcement Learning Designer: Design, train, and simulate agents using a visual interactive workflow

Statistics and Machine Learning Toolbox

• Machine Learning Apps: Evaluate models on held-out test data and fit fully connected neural nets in Classification Learner and Regression Learner
• Interpretability: Interpret complex models using Shapley values to obtain model-agnostic explanations
• Prediction Blocks in Simulink: Simulate and generate C/C++ code for decision trees and ensembles of trees

Text Analytics Toolbox

• BERT Transformer Models: Use BERT models for tasks such as text classification, summarization, and sentiment analysis

Automotive

Automated Driving Toolbox

• Share driving scenarios using the ASAM OpenSCENARIO 1.0 format
• Create driving scenarios from road data imported from the Zenrin Japan Map API 3.0 (Itsumo NAVI API 3.0) service

AUTOSAR Blockset

• Use Simulink bus ports to model AUTOSAR message-based communication, export-function based runnable entities, variant conditions, and nonvirtual buses
• Import and export ARXML files with execution order constraints for software component runnable entities at the architecture (VFB) level

IEC Certification Kit

• ISO 26262 ADAS Example: Learn how to use Simulink to design, implement, and verify an ADAS application according to ISO 26262:2018

RoadRunner

• Super-elevation tool to manipulate banking angles along roads

RoadRunner Scene Builder

• Import signs, poles, and barriers from HERE HD Live Maps

Vehicle Dynamics Blockset

• Import custom meshes and control vehicle lighting in Unreal Engine vehicle enhancements
• Control weather and sun position in Unreal Engine scenes

Vehicle Network Toolbox

• CAN and CAN FD Explorer Apps: Decode CAN and CAN FD messages and visualize CAN and CAN FD bus traffic without writing MATLAB code

Image Processing and Computer Vision

Image Processing Toolbox

• Process 2-D, 3-D, and N-D images that are too large to fit in memory
• Code generation: Enhanced execution speed for code generated from several functions
• Image Processing Onramp: Learn the basics of practical image processing techniques in MATLAB

Computer Vision Toolbox

• Support for labeling and deep learning with arbitrarily large images

Lidar Toolbox

• Use the Lidar Camera Calibrator App for calibrating lidar and camera sensors to estimate rigid transformations