1. Start parallel pool of matlab
2. Run NMs parallel.m

Here is an example of our model's implementation with parallel code, tailored for handling large models as outlined in section 4.2.

For addressing problems of varying complexities, our model can be fine-tuned using the parameters detailed in the paper. This includes the NM regularization parameter α and the approximation parameter γ, which denotes the percentage of approximation for the sake of simplicity. By adjusting these parameters, we can achieve improved performance and efficiency in our model.
