In this approach, you create a code archive (.ctf file) containing MATLAB functions and deploy it within a C++ application.

You use the MATLAB Compiler SDK API for C++ as an interface between the C++ application and the code archive containing the deployed MATLAB functions.

You use the MATLAB Data API to handle data exchange between the C++ application and deployed MATLAB functions. The MATLAB Data API provides modern C++11 features not available with the mwArray API, which only uses C++03 features. Specifically, the MATLAB Data API allows data to be moved instead of copied when possible, automatically manages resource cleanup, and minimizes the number of copy operations. This efficient data handling enhances the exchange between the C++ application and deployed MATLAB functions.

In this approach, you create a code archive (.ctf file) containing MATLAB functions and generate a corresponding header file (.hpp file) that establishes a predefined mapping between C++ and MATLAB data types. You deploy these artifacts within a C++ application.

The interface allows you to define a contract specifying how MATLAB should interpret and manage C++ data types. To create this contract, you can use an arguments block in a MATLAB function, or a combination of properties and arguments blocks in a MATLAB class. For instance, if your C++ application employs a uint32 data type representing a real scalar value, you would define this in your MATLAB code as (1,1) uint32 {mustBeReal}.

Also, C++ namespaces, classes, and public methods align with their MATLAB counterparts, maintaining consistent naming and eliminating the need for intermediate top-level functions.