$\lambda_h$ is not null. This asymptotic configuration may arise due to
the definition of $\lambda_h$. Worth, in this case, the function is
strictly decreasing and the minimal value is obtained when $p$ is the infinity.
$\lambda_h$ is not null. This asymptotic configuration may arise due to
the definition of $\lambda_h$. Worth, in this case, the function is
strictly decreasing and the minimal value is obtained when $p$ is the infinity.
To prevent this configuration, we replace the objective function given
in equation~(\ref{eq:obj2}) by
To prevent this configuration, we replace the objective function given
in equation~(\ref{eq:obj2}) by
The Figure~\ref{Fig:convex} summarizes the average number of convergence
iterations for each treshold value. As we can see, even if this new
enhanced method introduces new calculus,
The Figure~\ref{Fig:convex} summarizes the average number of convergence
iterations for each treshold value. As we can see, even if this new
enhanced method introduces new calculus,