What is the primary advantage of using the Sparse Subspace Learning (SSL) method in parametric modeling?

A. It allows for intrusive modifications to the original model
B. It only works for linear problems with affine weak forms
C. It requires a dense low-rank representation of the parametric solution
D. It enables non-intrusive approach based on sparse adaptive sampling of the parametric space
Answer: 