MATLAB

• Live Editor Tasks
  • Add tasks to live scripts to explore parameters and automatically generate code
  • Use tasks to interactively preprocess data and automatically generate MATLAB code
• Chart Container Class: Develop custom charts that behave like built-in MATLAB graphics
• uitable and uistyle Functions: Sort tables interactively and create styles for rows, columns, or cells in a table UI component
• uihtml Function: Add HTML, JavaScript, or CSS content to apps
• Function input arguments: Declare function input arguments to simplify input error checking
• Hexadecimal and Binary Numbers: Specify numbers using hexadecimal and binary literals
• Python interface: Execute Python functions out-of-process to avoid library conflicts between MATLAB and Python

Optimization Toolbox

• Code Generation: Generate C/C++ code to solve nonlinear constrained optimization problems with fmincon (requires MATLAB Coder)

Statistics and Machine Learning Toolbox

• Machine Learner Apps: Optimize hyperparameters in Classification Learner and Regression Learner, and specify misclassification costs in Classification Learner
• Code Generation: Update a deployed decision tree or linear model without re-generating code, and generate C/C++ code for probability distribution functions (requires MATLAB Coder)
• Code Generation: Generate fixed-point C/C++ code for the prediction of an SVM model (requires MATLAB Coder and Fixed-Point Designer)

Text Analytics Toolbox

• Sentiment Analysis: Evaluate sentiment in text data using sentiment scoring algorithms including VADER
• Deep Learning: Initialize word embedding layers with pretrained word embeddings

Control System Toolbox

• Live Editor Tasks: Perform model transformation and control design tasks interactively and generate MATLAB code in a live script

Deep Learning Toolbox

• Training Flexibility: Train advanced network architectures using custom training loops, automatic differentiation, shared weights, and custom loss functions
• Deep Learning Networks: Build generative adversarial networks (GANs), Siamese networks, variational autoencoders, and attention networks
• Multi-Input, Multi-Output Networks: Train networks with multiple inputs and multiple outputs
• ONNX Support: Export networks that combine CNN and LSTM layers and networks that include 3-D CNN layers to ONNX format

Simulink

• Simulink Toolstrip: Access and discover Simulink capabilities when you need them
• Subsystem Reference: Componentize your models by converting any subsystem into a subsystem reference to save it in a standalone file and promote its reuse
• Blockset Designer: Create, test, document and publish an entire blockset within one interface
• Messages: Model and generate C++ code for software compositions with message-based communication

Stateflow

• Stateflow Onramp: Learn the basics of how to create, edit, and simulate State machines through an interactive tutorial

System Composer

• Architecture Views: Automatically or manually create customized views for specific design or analysis concerns enabling communication between multiple stakeholders.

Simscape Multibody

• Reduced-Order Flexible Solid Block: Model deformation in bodies of diverse geometries
• Contact Forces: Model contact between bodies forced together during simulation

Simscape Driveline

• Source Code Access: View source code for Simscape Driveline blocks

Simulink Report Generator

• Embedded Web View: Use the Report API (in addition to the DOM API) to generate embedded web views from Simulink models.

Simulink Test

• Guided Back-to-Back Testing Wizard: Use guided workflow to set up back-to-back equivalence and baseline testing

Simulink Coverage

• Roundtrip Workflow with Requirements Tools: Import requirements from third party requirements tools, modify and export back through ReqIF

Simulink Requirements

• Link Exchange with Third Party Tools:  Share links with third party tools through ReqIF
• Traceability to DOORS 9 Baselines: Navigate from model to baseline requirements in IBM Rational DOORS 9

Simulink Check

• Automated Clone Refactoring App: Detect subsystem or library pattern clones, refactor and check equivalency of refactored model

Polyspace Products

• AUTOSAR C++14 Support: Check for misuse of lambda expressions, potential problems with enumerations, and other issues
• Shared Variables Mode: Run a less extensive Code Prover analysis on complete application to compute global variable sharing and usage only
• Simulink Support: Analyze generated code by using contextual buttons on the Simulink Editor toolstrip
• Simulink Support: Verify custom code called from C Caller blocks and Stateflow charts in context of model