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arXiv · 2610.18048

A Smoothed Augmented Lagrangian Method for Mathematical Programs with Vertical Complementarity Constraints

Jia Wang·Andreas Themelis·Panagiotis Patrinos
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Abstract

We propose a smoothed augmented Lagrangian method (ALM) for solving mathematical programs with vertical complementarity constraints (VCCs). The augmented Lagrangian function involving the VCCs is smoothed by the Lasry--Lions double envelope, which is an extension of the Moreau envelope that enjoys enhanced smoothness properties. This construction yields a smooth unconstrained subproblem within the ALM framework that can be efficiently solved by many fast optimization algorithms. In the limiting setting, we establish global convergence to Mordukhovich- and Clarke-stationary points. For the convergence rate, we show that, under appropriate assumptions, the smoothed ALM achieves Q-linear convergence. We further provide a worst-case iteration complexity analysis for computing an approximate stationary point of the original problem or of an associated feasibility problem. Preliminary numerical experiments demonstrate the effectiveness of the proposed method.

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Jia Wang, Andreas Themelis, Panagiotis Patrinos. 2026-10-13. A Smoothed Augmented Lagrangian Method for Mathematical Programs with Vertical Complementarity Constraints. https://arxiv.org/abs/2610.18048

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