Impact-Site-Verification: dbe48ff9-4514-40fe-8cc0-70131430799e

Search This Blog

Release Highlights 2020b

Release 2020b offers hundreds of new and updated features and functions in MATLAB® and Simulink®, along with four new products.

Release Highlights

New Products

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

Check out the latest release: https://bit.ly/2Gqha8W


Join us on Telegram: https://t.me/matlabcastor

No comments

Popular Posts

Followers