: Key updates included improved code efficiency through Prelookup block merging and new Model Testing Dashboards for tracking artifact compliance. Technical Specifications
: 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
: 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. MathWorks MATLAB R2021b v9.11.0.1809720 Update ...
: R2021b significantly improved the Python interface, enabling smoother execution of Python commands and scripts directly from the MATLAB command line.
: The Wavelet Toolbox added interactive apps for feature extraction, while the Lidar Toolbox introduced the Lidar Viewer app for processing 3D point clouds. : Key updates included improved code efficiency through
: MathWorks generally recommended at least 4GB of RAM per worker for parallel tasks. Release Notes for MATLAB - MathWorks
: While R2021b ran on Apple Silicon (M1) via Rosetta 2, native support for core matrix operations was still developing at that time. Release Notes for MATLAB - MathWorks : While
: The introduction of the BackgroundPool function allowed users to run MATLAB functions on background threads without blocking the main session.