Hi,
I understand that your code's computational time is very high and you would like to optimise it.
For the Levenberg-Marquardt Algorithm you can try using Optimization Toolbox, here are some resources that might be helpful. https://www.mathworks.com/help/optim/
Here are few suggestions which you can incorporate to make your code more efficient:
- Pre-allocate Arrays: Pre-allocate arrays for ss, ff1, ff, pp, and ii1 to their final size before the loop. This avoids resizing the arrays in each iteration, resulting in improved performance.
- Vectorize Operations: Utilize vectorized operations whenever possible to avoid unnecessary loops. For instance, instead of looping over pn to normalize its elements, you can use element-wise division by the norm directly.
- Use Element-wise Operations: Instead of using matrix multiplication (*) and matrix division (/), use element-wise operations (.* and ./) where appropriate. This can significantly speed up calculations.
- Profile and Optimize: Use MATLAB's profiling tools to identify the most time-consuming parts of the code. Focus on optimizing those sections by using built-in functions or alternative algorithms.
You can read more about Profiling your code here. https://www.mathworks.com/help/matlab/matlab_prog/profiling-for-improving-performance.html
I hope this helps.
