Fast Augmented Lagrangian Method in the convex regime with convergence guarantees for the iterates

Volume: 200, Issue: 1, Pages: 147 - 197
Published: Aug 16, 2022
Abstract
This work aims to minimize a continuously differentiable convex function with Lipschitz continuous gradient under linear equality constraints. The proposed inertial algorithm results from the discretization of the second-order primal-dual dynamical system with asymptotically vanishing damping term addressed by Boţ and Nguyen (J. Differential Equations 303:369–406, 2021), and it is formulated in terms of the Augmented Lagrangian associated with...
Paper Details
Title
Fast Augmented Lagrangian Method in the convex regime with convergence guarantees for the iterates
Published Date
Aug 16, 2022
Volume
200
Issue
1
Pages
147 - 197
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