 The L1-regularized formulation is useful in some contexts due to its tendency to prefer solutions where more parameters are zero, which gives solutions that depend on fewer variables.For this reason, the Lasso and its variants are fundamental to the field of compressed sensing.An extension of this approach is elastic net regularization.