# Tikhonov regularization in the non-negative least square [duplicate]

I am working on a project that I need to add a regularization into the NNLS algorithm. Is there a way to add the Tikhonov regularization into the NNLS implementation of scipy [1]?

[2] talks about it, but does not show any implementation. Sklearn has an implementation, but it is not applied to nnls.

scipy.optimize.nnls(A1, b1), where
A1 = np.concatenate((A, lambda*np.matlib.identity(n)))