Addressing Implementation Constraints Using MATLAB Coder - MATLAB Video

Using the Newton-Raphson method as an example, work through common implementation constraints and prepare and generate C/C++ code using MATLAB Coder™. Customize the generated code for look and feel, and tweak the MATLAB algorithm to generate shorter, more concise C code.

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MATLAB Coder™ generates readable and portable C and C++ code from MATLAB® code. It supports most of the MATLAB language and a wide range of toolboxes. You can integrate the generated code into your projects as source code, static libraries, or dynamic libraries. You can also use the generated code within the MATLAB environment to accelerate computationally intensive portions of your MATLAB code. MATLAB Coder lets you incorporate legacy C code into your MATLAB algorithm and into the generated code.

By using MATLAB Coder with Embedded Coder®, you can further optimize code efficiency and customize the generated code. You can then verify the numerical behavior of the generated code using software-in-the-loop (SIL) and processor-in-the-loop (PIL) execution.