# Is l1-norm works better that l2-norm in minimization using projection method?

Given a vector of errors $e(x)$ obtained by variable $x$

In the following problem :

$min_x || e(x) ||$

Besides the robustness, consider only convergence speed, is it l1 norm works better than l2 norm using projected gradient method?