The function overhead in and of itself increases the memory usage. However, if you pass large arrays or structures as input/output arguments, MATLAB may need to copy data (especially if you modify it inside the function). This can make execution slower if you are working with large arrays.
To try to reduce the memory footprint, try these steps:
- If you are passing large arrays to the function and modifying them, try to minimize unnecessary modifications or use persistent variables if appropriate.
- Use MATLAB Profiler to identify the bottleneck in the script.
