The name is absent

А|^а||ЛГ* l≤M = l-.n.

∂x∙i

ll⅛∣μ₁ - ⅛ = 2∣∣Λ^τ(Ar - 6)∣∣_co ≤ 1

As we mentioned before, for very small regularization coefficients λ, zero is close
to the optimal point. Thus, putting x = 0 in Equation 4.14 determines a value
for λ. i.e., if x = 0 is a optimal solution,

Thus, the value for λ corresponding to zero would be

^λ° = p‰

Kim et al. [40] suggest determining λ based on Λq∙ They use ʌɪ = 10λo∙ For
the problem shown in Figure 4.5, ʌɪ = lθʌɑ = 5.56 × IO^-4. This estimation of
the λ is far from λ_opt (λ_opt ɪs shown in Figure 4.5).

Hale et al. [35] use distribution of measurement error to find λ. Assuming
independent normal distribution for measurement noise, they suggest

_ 2 / N
^2 — ~∖ ~2----

£ V ⅛-<*,m

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