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A First-Order Primal-Dual Method for Nonconvex Constrained Optimization Based on the Augmented Lagrangian
Work
Year: 2023
Type: article
Abstract: Nonlinearly constrained nonconvex and nonsmooth optimization models play an increasingly important role in machine learning, statistics, and data analytics. In this paper, based on the augmented Lagra... more
Cites: 38
Cited by: 5
Related to: 10
FWCI: 1.242
Citation percentile (by year/subfield): 72.34
Open Access status: green