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This extension provides support for editing MATLAB® code in Visual Studio® Code and includes features such as syntax highlighting, code analysis, navigation support, and more.
Additional app building components to efficiently develop advanced user interfaces in MATLAB
This MATLAB and Simulink Challenge Project Hub contains a list of research and design project ideas. These projects will help you gain practical experience and insight into technology trends and industry directions.
The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
Distributed optimization (DO) in a multi-agent setting refers to a class of algorithms in which a collection of agents (each with access to only a portion of the global objective or local constraints) collaboratively solve a joint optimization problem by exchanging information over a communication network. Here, we showcase DO using MATLAB.
Combinatorial Optimization (CO) seeks the best solution from a finite, but often exponentially large, set of possibilities. Traditional solvers can face computational challenges on large instances. Neural combinatorial optimization (NCO) is using a different approach to solve such problems, by learning heuristics or policies using neural networks.
This demo model shows how the average voltage across the inductor is varied by PWM (Pulse Width Modulation) and the current through the inductor is acquired and controlled by an ADC synchronized with the PWM.
