Under dom φ ≠ ∅, the augmented Lagrangian dual φ_ρ is 1/ρ-smooth everywhere and min_x L_ρ(x, λ) attains its solution for any λ.
Smooth minimization of non-smooth functi ons,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.OC 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Smoothness of the Augmented Lagrangian Dual in Convex Optimization
Under dom φ ≠ ∅, the augmented Lagrangian dual φ_ρ is 1/ρ-smooth everywhere and min_x L_ρ(x, λ) attains its solution for any λ.