Dear Shib,
We are using a modified Iterative Re-weighted Least-Squares (IRLS) algorithm, which allows us to visit any norm on the model and its gradients on the full interval [0, 2]
The example above uses an l0-norm on the model values and l1-norms on the gradients. You can combine any values you'd like to explore different solutions.
You can have a look at
this paper if you want to learn more about the algorithm.
Cheers