... — Mathworks Matlab R2021b V9.11.0.1809720 Update

: Key updates included improved code efficiency through Prelookup block merging and new Model Testing Dashboards for tracking artifact compliance. Technical Specifications

: Parallel Computing Toolbox expanded its "parallel language" features, allowing users to use parfeval and related functions in serial mode even without the toolbox, making code more portable.

: While R2021b ran on Apple Silicon (M1) via Rosetta 2, native support for core matrix operations was still developing at that time. MathWorks MATLAB R2021b v9.11.0.1809720 Update ...

: MathWorks generally recommended at least 4GB of RAM per worker for parallel tasks. Release Notes for MATLAB - MathWorks

: R2021b significantly improved the Python interface, enabling smoother execution of Python commands and scripts directly from the MATLAB command line. : Key updates included improved code efficiency through

: The introduction of the BackgroundPool function allowed users to run MATLAB functions on background threads without blocking the main session.

: New functions like trenddecomp for finding trends in data were added, alongside high-order Runge-Kutta solvers ( ode78 and ode89 ) for differential equations. Toolbox Highlights : MathWorks generally recommended at least 4GB of

: A major highlight was the redesigned MATLAB Home page , providing quicker access to recent files and training resources. The Editor also introduced new capabilities for code refactoring and block editing.