R2026a Prerelease at a Glance

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Take an early look at R2026a with the prerelease.

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Release notes

Major Updates

  • Econometrics Toolbox – Apply enhancements from the Econometric Modeler app for filtering, simulation, forecasting, and visualization; leverage advanced panel data regression and Bayesian modeling for comprehensive analysis.
  • Mapping Toolbox – Enhance geospatial capabilities with 3D building visualization, image overlays, and raster maps.
  • MATLAB Test – Find relevant tests to run in projects; justify uncovered code in generated C/C++ code coverage; run tests from previous runs stored in the MATLAB Test Manager history.
  • Polyspace Bug Finder – Configure and review Polyspace projects faster with the new desktop app shared with Polyspace Test; extend coding rules checking with custom checkers and full MISRA C/C++ 2023 support.
  • Polyspace Test – Configure and review Polyspace projects faster with the new desktop app shared with Polyspace Test; extend coding rules checking with custom checkers and full MISRA C/C++ 2023 support.
  • RF PCB Toolbox – Analyze complex PCBs: import ODB++ databases, perform finite element and DC electromagnetic analysis, and integrate components in RF Blockset for wireless system simulation.
  • RF Toolbox – Analyze complex PCBs: import ODB++ databases, perform finite element and DC electromagnetic analysis, and integrate components in RF Blockset for wireless system simulation.
  • Signal Processing Toolbox – Design and analyze digital filters with the new Filter Designer and Filter Analyzer apps; label time-frequency maps with Signal Labeler; extract features interactively with Signal Feature Extractor.

Release Highlights

MATLAB

  • Java Runtime: Install your own version of compatible OpenJDK releases.
  • Python Integration: Use the External Languages panel to view, create, and manage Python environments in MATLAB; automatically convert MATLAB string arrays to a Python list or NumPy string array.
  • Sharing from MATLAB Drive: Share files and apps stored in MATLAB Drive directly from the MATLAB Desktop and App Designer, respectively.
  • JSON Files: Read and write JSON data as tables and timetables.
  • Live Editor: Create multilevel lists; run user-defined code by clicking a button control in your live script.
  • raincloudplot Function: Visualize grouped numeric data by using rain cloud plots.

Simulink

  • New Rich Context Menus: Access actions from a simplified context menu that is built for discoverability and filters options based on the tools you are using.
  • Compare and Merge Data Dictionaries: Compare Simulink Data Dictionaries (SLDD) to identify differences in design data, configuration sets, and more; merge desired changes into a new target SLDD file.
  • Model Reference Rebuild: Customize the default rebuild behavior for new models to avoid unnecessary compilations.
  • Enhanced Language Support for C Function Block: Simulate C or C++ code using the C Function block without language limitations or the need for additional wrappers. 
  • Simulink Onramp for Componentization: Learn the core principles of component-based modeling in Simulink, focusing on organizing, reusing, and protecting model components for scalable system design.
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