Statistics and Machine Learning Toolbox: SVR (support vector regression) and Gaussian processes (Kriging) for fitting models, PCA feature transformation in the Classification Learner app, and GPU acceleration of 65 functions MATLAB Compiler SDK: Deployable MATLAB components for integration with applications written in Python Hardware support for iOS sensors, Raspberry Pi 2, and BeagleBone Black Add-On Explorer a single interface for adding community-authored and MathWorks toolboxes, apps, functions, models, and hardware support Graph and directed graph functions for creating, analyzing, and visualizing graphs and networks New execution engine that runs MATLAB code faster ![]() ![]() In addition to new features in MATLAB and Simulink, R2015b includes updates and bug fixes to 83 other products. The MathWorks, provider of MATLAB software, has announced the release of its latest version of Matlab - R2015b.
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