Product Details
Matlab for Linux 2020
Matlab Linux Package
Programming language
MATLAB is a proprietary multi-paradigm programming language and numeric computing environment developed by MathWorks. MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages.
Description
Operating System: Linux
Product language: Multilanguage
System: 64 bit
Guide:
Matlab Linux Package Contains:
MATLAB Product Family
- 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
- 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 Matrix Variables: Perform linear algebra calculations on symbolic matrix variables represented in a compact form
AI, Data Science, and Statistics
- 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
- BERT Transformer Models: Use BERT models for tasks such as text classification, summarization, and sentiment analysis
Automotive
- 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
- 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
- ISO 26262 ADAS Example: Learn how to use Simulink to design, implement, and verify an ADAS application according to ISO 26262:2018
- Super-elevation tool to manipulate banking angles along roads
- Import signs, poles, and barriers from HERE HD Live Maps
- Import custom meshes and control vehicle lighting in Unreal Engine vehicle enhancements
- Control weather and sun position in Unreal Engine scenes
- 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
- 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
- Support for labeling and deep learning with arbitrarily large images
- Use the Lidar Camera Calibrator App for calibrating lidar and camera sensors to estimate rigid transformations